File size: 1,925 Bytes
2a81ac9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | # Development Environment Setup
This document outlines the setup process for Project V1 development environment.
## Prerequisites
### Phase 0 & 1 Requirements
- **Rust**: For performance-critical symbolic kernel
- Install from https://rustup.rs/
- Required for Genesis Engine implementation
- **Python 3.9+**: For AI/ML components and API
- Install from https://python.org/
- **Lean 4**: Interactive theorem prover
- Install via: `elan toolchain install leanprover/lean4:stable`
- Documentation: https://leanprover.github.io/lean4/doc/
### Phase 2+ Requirements (Future)
- **CUDA-capable GPU**: For neural network training
- **PyTorch/TensorFlow**: Deep learning frameworks
- **Node.js**: For frontend development
## Installation Steps
### 1. Install Lean 4
```bash
curl https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh -sSf | sh
elan toolchain install leanprover/lean4:stable
elan default leanprover/lean4:stable
```
### 2. Install Rust
```bash
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source ~/.cargo/env
```
### 3. Setup Python Environment
```bash
python -m venv venv
# Windows
venv\Scripts\activate
# Linux/Mac
source venv/bin/activate
pip install -r requirements.txt
```
## Project Structure
```
project-v1/
├── src/
│ ├── genesis_engine/ # Rust-based symbolic kernel
│ ├── neuro_symbolic_network/ # Python AI components
│ ├── api/ # FastAPI backend
│ └── frontend/ # React + Three.js interface
├── data/ # Datasets and universe databases
├── docs/ # Documentation
├── tests/ # Test suites
├── config/ # Configuration files
└── research/ # Literature review and notes
```
## Current Phase: Phase 0
Focus on literature review and environment setup. No active development yet. |