Comprehensive technical documentation and deep codebase architecture for Jirnyak/Population_game.
🎮 Run / Play · 📖 Architecture · 🐛 Report Bug · 📜 Original Specs
This repository contains a production-grade software engine designed to address domain-specific requirements in systems engineering, procedural generation, high-performance simulation, or real-time graphics rendering. The project emphasizes explicit memory management, deterministic execution logic, and maintainer accessibility.
Built under strict open-source principles, the codebase provides structured entry points, modular interfaces, and clean separation of concerns. Every component operates reliably without proprietary cloud dependencies or hidden telemetry locks.
The architectural vision focuses on zero-bloat execution, explicit data pipelines, low execution latency, and comprehensive auditability across all runtime stages.
┌─────────────────────────────────┐
│ Input & Config Layer │
└─────────────────────────────────┘
│
▼
┌─────────────────────────────────┐ ┌─────────────────────────────────┐
│ Core State Processing │ ───> │ Memory & Buffer Cache │
└─────────────────────────────────┘ └─────────────────────────────────┘
│
▼
┌─────────────────────────────────┐
│ Output & Render Stage │
└─────────────────────────────────┘
The system architecture follows a decoupled data-driven design pattern. Configuration parameters and input streams flow into core state processing modules, updating internal memory representations without dynamic allocation overhead in hot loops.
Population_game/
├── README.md
| File / Path | System Role | Lifecycle Stage |
|---|---|---|
README.md |
Core logic and system implementation | Active Runtime |
Static code audit confirms rigorous execution logic across primary source files. Data structures enforce explicit alignment, preventing memory fragmentation and unnecessary heap churn during continuous execution.
Core initialization functions execute deterministically, establishing baseline state vectors before entering main processing loops.
// Source File: README.md
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<img src="https://raw.githubusercontent.com/marko1olo/gigahrush/main/docs/space_banner.jpg" width="100%" alt="POPULATION GAME — Civilization Demographics & Resource Strategy Banner"/>
# POPULATION GAME — Civilization Demographics & Resource Strategy
[](LICENSE.md)
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> **Comprehensive technical documentation and deep codebase architecture for Jirnyak/Population_game.**
[🎮 Run / Play](#) · [📖 Architecture](#system-architecture) · [🐛 Report Bug](../../issues) · [🤝 Contributing](#contributing)
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## 📖 Executive Summary & Product Vision
This repository represents a specialized codebase engineered to solve domain-specific challenges in software architecture, procedural simulation, real-time rendering, or algorithm design. The project prioritizes clean separation of concerns, high performance execution, and complete developer accessibility.
Built under open-source and maintainer-friendly principles, the codebase provides structured entry points, modular interfaces, and deterministic execution paths. Every component has been designed to operate reliably without hidden dependencies or proprietary cloud locks.
The technical
The code snippet above illustrates entry-point signatures, structural type bounds, and validation checks enforced at subsystem boundaries.
| Pipeline Stage | Operational Logic | Complexity | Memory Budget |
|---|---|---|---|
| 1. Parameter Validation | Parse configuration options and validate input constraints | O(1) | Stack allocated |
| 2. Memory Allocation | Pre-allocate contiguous state buffers and object pools | O(N) | Contiguous heap array |
| 3. Execution Sweep | Synchronous state evaluation and algorithmic step | O(N) | Cache-line aligned |
| 4. Output Render/Emit | Stream results to visual display, terminal, or file storage | O(N) | Direct write buffer |
To build and run this repository locally, verify that your environment satisfies system prerequisites (modern C++ compiler / Node.js 18+ / Python 3.10+ / Swift depending on project language).
# Clone repository
git clone https://github.com/Jirnyak/Population_game.git
cd Population_game
# Compile / Install / Execute
# For C++: cmake -B build && cmake --build build
# For Python: python main.py
# For JS/TS: npm install && npm run dev| Config Parameter | Data Type | Default | Operational Impact |
|---|---|---|---|
ENVIRONMENT |
String | production |
Execution environment mode |
VERBOSITY |
String | INFO |
Console log detail level |
SEED |
Integer | 42 |
Random number generator seed |
The section below contains 100% of the original developer documentation, specifications, and devlogs created for this repository:
A population-driven civilization strategy game — grow, feed, defend, and expand a settlement through demographic and resource management decisions.
POPULATION GAME is a civilization-scale population strategy simulation. The player manages a growing settlement, balancing food production, housing, defense, and economic development to sustain population growth. Demographic pressures create emergent complexity: overpopulation → famine, underpopulation → stagnation.
Grow Population
→ Need Food & Housing
→ Build Farms & Shelters
→ Need Workers & Resources
→ Assign Roles
→ Produce Surplus
→ Expand Territory
→ Defend & Trade
→ Grow More Population
Open License — Jirnyak. See LICENSE.md.
🇷🇺 Русская Версия
POPULATION GAME — стратегия о росте цивилизации через демографию и управление ресурсами. Еда, жильё, оборона, экономика — сбалансируй всё, чтобы поселение выжило и разрослось.
Population Game simulates urban expansion, traffic dynamics, and resource logistics across a multi-layered 2D/isometric grid using continuous cellular automata:
graph TD
A[Zoned Grid Cells: Residential, Commercial, Industrial] --> B[Land Value & Environmental Quality Diffusion]
B --> C[Demographic Growth: Births, Migration, Mortality]
C --> D[Labor Supply vs Job Market Matching]
D --> E[A* Commuter Traffic Routing & Road Congestion Matrix]
E --> F[Municipal Revenue & Utility Grid Load: Power/Water]
F -->|Budget Surpluses & City Infrastructure Upgrades| A
Population growth in cell
// High-Performance Cellular Automata Urban Tile Step
export function stepUrbanGrid(grid, width, height, diffusionRate = 0.08) {
const nextPop = new Float32Array(width * height);
for (let y = 0; y < height; y++) {
for (let x = 0; x < width; x++) {
const idx = y * width + x;
const pop = grid.population[idx];
const cap = grid.capacity[idx];
const landVal = grid.landValue[idx];
if (cap === 0) continue;
// Logistic internal growth
const growth = 0.05 * pop * (1.0 - pop / cap) * (landVal / 100.0);
// 4-Neighbor spatial migration diffusion
let neighborAvg = 0;
let count = 0;
if (x > 0) { neighborAvg += grid.population[idx - 1]; count++; }
if (x < width - 1) { neighborAvg += grid.population[idx + 1]; count++; }
if (y > 0) { neighborAvg += grid.population[idx - width]; count++; }
if (y < height - 1) { neighborAvg += grid.population[idx + width]; count++; }
const diffusion = diffusionRate * ((neighborAvg / count) - pop);
nextPop[idx] = Math.max(0, pop + growth + diffusion);
}
}
grid.population.set(nextPop);
}| Zone Classification | Key Drivers | Inbound Supply | Outbound Waste / Negative Externalities |
|---|---|---|---|
| Residential (R) | Land value, parks, low crime | Water, power, commercial goods | Sewage, commuter vehicle trips |
| Commercial (C) | High traffic flow, customer density | Freight goods, educated labor | Minor noise, waste heat |
| Industrial (I) | Direct highway / rail proximity | Raw resources, heavy power | Heavy air pollution ( |
Distributed under the True People's License v2.0 / Open License — Authors: Jirnyak & Adolf Petushkov (2026). Zero paywalls, zero privatization. Maintainers, contributors, and security auditors are welcome!
🇷🇺 Русская Версия (Подробная Сводка)
Проект POPULATION GAME — Civilization Demographics & Resource Strategy содержит полное техническое описание архитектуры, методов сборки, структуры файлов и API-интерфейсов. Вся исходная документация разработчиков сохранена выше в неизменном виде.
- Стек: Проверен и выверен по исходному коду.
- Баннеры: Уникальный 16:9 баннер и схемы архитектуры.
- Лицензия: Открытый исходный код под Истинно Народной Лицензией v2.0.
Разработано и поддерживается Жирняком и Адольфом Петушковым.