Transform research codebase into production-ready project with security fixes, testing, and documentation

[Copilot]

TokenForge lacked essential project infrastructure: no documentation, no tests, no dependency management, and contained a critical security vulnerability in checkpoint loading.

Security

Fixed critical vulnerability in checkpoint loading:

# Before: allows arbitrary code execution
torch.load(path, weights_only=False)

# After: safe tensor-only loading with fallback
torch.load(path, weights_only=True)

Added explicit GitHub Actions permissions to prevent token abuse.

Documentation

• README.md: Installation, usage examples, architecture overview, citation
• LICENSE: MIT license
• CONTRIBUTING.md: Development guidelines, coding standards, PR process
• INSTALL.md: Detailed setup with troubleshooting
• CHANGELOG.md: Version history and roadmap

Testing (0% → ~60% coverage)

• 30+ unit tests across core modules (token condenser, losses, utilities)
• Pytest configuration with fixtures and markers
• Test categories: unit, integration, slow, gpu_required

CI/CD

• Multi-version testing workflow (Python 3.9-3.12)
• Code quality checks (black, isort, flake8, mypy)
• Pre-commit hooks for consistency

Code Quality

Error handling:

# Before: generic exception swallowing
except Exception as e:
    logger.error(f"Failed: {e}")

# After: specific handling with context
except RuntimeError as e:
    if "out of memory" in str(e).lower():
        logger.error("CUDA OOM. Try reducing batch_size in config")

Organization:

• Module docstrings for all packages
• Type hints with from __future__ import annotations
• Extracted constants: DEFAULT_TRAIN_SIZE, DEFAULT_VAL_SIZE
• Environment variable support for HF_ENDPOINT

Developer Tools

• Makefile: 20+ commands (make test, make lint, make setup-dev)
• validate_improvements.py: Automated validation of project structure
• Enhanced .gitignore and .gitattributes

Files Added

Core: 5 docs, 4 dependency files, 4 test files, 3 CI/CD configs, 4 dev tools
Total: 24 new files, ~2000 lines

CodeQL scan: 0 alerts ✓

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