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mearvkmearvk
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Executive System Touch M5+ 75
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source/city_analysis/CityAnalysisMain.java renamed to source/city/analysis/CityAnalysisMain.java

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package city_analysis;
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package city.analysis;
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/**
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* @author Max Rupplin
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System.out.println("-- : [CityAnalysisMain] . CityAnalysis™ now starting .");
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// Start the city analysis server
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CityAnalysisServer server = new CityAnalysisServer();
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city_analysis.CityAnalysisServer server = new city_analysis.CityAnalysisServer();
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if (args.length > 0)
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{
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// If an input file is provided, run the speculation engine
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if (args.length > 1)
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{
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CitySpeculationEngine engine = new CitySpeculationEngine(args[1]);
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city_analysis.CitySpeculationEngine engine = new city_analysis.CitySpeculationEngine(args[1]);
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engine.speculateRecursively();
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engine.writeResults();
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}

source/city_analysis/CityAnalysisServer.java renamed to source/city/analysis/CityAnalysisServer.java

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{
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protected String hash = "0xCA717018470E913F";
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protected static final String CONFIG_PATH = "source/city-analysis/city-analysis-config.xml";
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protected static final String PRESUMES_PATH = "source/city-analysis/legalice.presumes.xml";
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protected static final String CONFIG_PATH = "source/city/analysis/city-analysis-config.xml";
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protected static final String PRESUMES_PATH = "source/city/analysis/legalice.presumes.xml";
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protected List<Map<String, String>> presumptions = new ArrayList<>();
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source/city_analysis/CitySpeculationEngine.java renamed to source/city/analysis/CitySpeculationEngine.java

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*
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* CitySpeculationEngine — AI inference module that reads .data, .xml, or .txt
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* input files, applies heuristic reasoning, and writes speculation results
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* to source/city-analysis/speculations/
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* to source/city/analysis/speculations/
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*/
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public class CitySpeculationEngine
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{
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protected String hash = "0xCA717018470E914A";
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protected static final String OUTPUT_DIR = "source/city-analysis/speculations/";
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protected static final String OUTPUT_DIR = "source/city/analysis/speculations/";
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protected List<String> inputLines = new ArrayList<>();
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protected String inputFileName;
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try
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{
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javax.xml.parsers.DocumentBuilder builder = javax.xml.parsers.DocumentBuilderFactory.newInstance().newDocumentBuilder();
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org.w3c.dom.Document doc = builder.parse(new File("source/city-analysis/cse-allowance-config.xml"));
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org.w3c.dom.Document doc = builder.parse(new File("source/city/analysis/cse-allowance-config.xml"));
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org.w3c.dom.NodeList nodes = doc.getElementsByTagName("recursive-speculation");
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if (nodes.getLength() > 0)
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{
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System.out.println("-- : [CitySpeculationEngine] Recursive speculation complete. Total lines: " + speculations.size());
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}
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protected static final String RECURSIVE_OUTPUT_DIR = "source/city-analysis/speculations/recursive/";
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protected static final String RECURSIVE_OUTPUT_DIR = "source/city/analysis/speculations/recursive/";
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/**
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* Write a recursive speculation pass to its own date/time subfolder

source/city_analysis/CitySpeculationTrainer.java renamed to source/city/analysis/CitySpeculationTrainer.java

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{
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protected String hash = "0xCA717018470E914B";
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protected static final String CONFIG_PATH = "source/city-analysis/cse-allowance-config.xml";
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protected static final String CONFIG_PATH = "source/city/analysis/cse-allowance-config.xml";
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// Reasoning allowances
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protected long maxReasoningTimeMs;

‎source/city/analysis/README.md‎

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# CityAnalysis™ Module
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**Author:** Max Rupplin — MEARVK LLC
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**Contact:** mearvk@mearvk.us | mearvk@outlook.com
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**Phone:** 1.919.923.4239
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**Belt Requirement:** Green Belt or Brown Belt
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**IQ Requirement:** 180+
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---
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## Overview
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CityAnalysis™ gathers property records and deed information for North Carolina cities by contacting county Register of Deeds websites, then applies a trained AI speculation engine to infer patterns in lending, property transactions, and community behavior.
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## Components
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| File | Purpose |
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|------|---------|
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| `CityAnalysisMain.java` | Entry point — IDE or terminal |
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| `CityAnalysisServer.java` | Fetches property/deed data from county websites |
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| `CitySpeculationEngine.java` | AI module — entity extraction, speculation, recursive self-analysis |
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| `CitySpeculationTrainer.java` | Moral-bound IQ spectrum spatial model trainer |
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| `city-analysis-config.xml` | City list, URLs, connection settings |
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| `cse-allowance-config.xml` | AI reasoning limits, IQ tiers, trainer params |
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| `legalice.presumes.xml` | Presumptions, rules, lessons, proofs for citizen classes |
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## Operations
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1. **Load config** — Reads city list and selects default (Durham, NC)
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2. **Fetch** — HTTP GET to county property records and Register of Deeds sites
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3. **Extract** — Pulls dollar amounts, percentages, keywords, URLs from data
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4. **Train** — Runs moral-bound spatial model with base-objection exponential falloff
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5. **Speculate** — Generates inferences on financial patterns, market focus, community behavior
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6. **Recursive speculation** — AI re-analyzes its own findings 1–3 passes, stopping if confidence drops
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## Settings (cse-allowance-config.xml)
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| Setting | Description |
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|---------|-------------|
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| `max-reasoning-time-ms` | Hard time limit on training (ms) |
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| `max-inputs` | Maximum input files/entries processed |
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| `input-value` | Importance weight of input (1–1000) |
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| `age-of-treason` | Toggle for persistence-under-duress modeling |
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| `max-heap-mb` | Memory ceiling for AI working set |
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| `democrat-class` / `citizen-class` | Importance weights for class inference |
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| `dominant-iq` | Central IQ for tier calculations |
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| `tiers` | 5-level IQ falloff (157+ to baseline) |
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| `recursive-speculation` | Max/min passes, confidence threshold |
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## Trainer Settings
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| Setting | Description |
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|---------|-------------|
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| `epochs` | Training iterations |
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| `learning-rate` | Base gradient step size |
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| `moral-bound-weight` | Constraint toward moral center |
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| `dimensions` | Spatial model dimensionality |
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| `base-objections` | Shyness, cause-aversion, social-distance with decay |
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| `falloff-model` | Exponential decay of objection pressure |
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| `learner-rate-spectrum` | Adaptive LR range (min/max) |
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## Output
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- `speculations/` — Initial speculation reports (timestamped)
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- `speculations/recursive/<date>/<time>/` — Recursive pass outputs by datetime
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## Usage
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```bash
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java CityAnalysisMain # Durham default, fetch only
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java CityAnalysisMain Raleigh # Fetch for Raleigh
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java CityAnalysisMain Durham input.data # Full speculation on input file
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```
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## Concerns
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- This module contacts live county government websites; respect rate limits
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- Speculation outputs are heuristic inferences, not legal or financial advice
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- Training time is bounded by `max-reasoning-time-ms` to prevent runaway
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- Recursive passes halt early if model confidence degrades below threshold
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- All citizen classes are presumed good-faith per `legalice.presumes.xml`
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---
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**This module is intended for 180+ IQ operators holding Green Belt or Brown Belt certification at this time.**

source/city_analysis/city-analysis-config.xml renamed to source/city/analysis/city-analysis-config.xml

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source/city_analysis/cse-allowance-config.xml renamed to source/city/analysis/cse-allowance-config.xml

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source/city_analysis/legalice.presumes.xml renamed to source/city/analysis/legalice.presumes.xml

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