chore: Set up Python testing infrastructure with Poetry and pytest

[llbbl]

Set Up Python Testing Infrastructure

Summary

This PR establishes a comprehensive testing infrastructure for the HashNeRF-pytorch project using Poetry for dependency management and pytest for testing.

Changes Made

Package Management

• Poetry Configuration: Created pyproject.toml with Poetry as the package manager
• Dependencies: Migrated all project dependencies (torch, numpy, imageio, etc.) to Poetry
• Optional Dependencies: Made pyvista optional (installable with poetry install -E scannet) due to platform compatibility issues
• Development Dependencies: Added pytest, pytest-cov, and pytest-mock as dev dependencies

Testing Configuration

• pytest Configuration:

  • Configured test discovery patterns
  • Set up coverage reporting with 80% threshold
  • Added custom markers: unit, integration, slow
  • Configured HTML and XML coverage reports
  • Added strict mode and verbose output

• Coverage Configuration:

  • Excluded test files, scripts, and config from coverage
  • Set up multiple report formats (terminal, HTML, XML)
  • Configured coverage fail threshold at 80%

Directory Structure

tests/
├── __init__.py
├── conftest.py          # Shared fixtures
├── test_setup_validation.py  # Validation tests
├── unit/
│   └── __init__.py
└── integration/
    └── __init__.py

Test Fixtures (conftest.py)

Created comprehensive fixtures for:

• Temporary directories and files
• Mock configurations
• Sample data (images, poses, rays)
• Mock models and encodings
• Device management
• GPU cleanup
• Log capturing

Commands

• poetry install - Install all dependencies
• poetry run test or poetry run tests - Run all tests
• poetry run pytest [options] - Run tests with custom options

Additional Updates

• Updated .gitignore with:
  • Testing artifacts (.pytest_cache/, .coverage, htmlcov/, etc.)
  • Poetry lock file (as recommended)
  • Claude settings (.claude/*)
  • IDE and OS files

Testing the Setup

1. Install dependencies:

   poetry install
   

2. Run validation tests:

   poetry run test
   

3. Run with coverage:

   poetry run pytest --cov=. --cov-report=html
   

Notes

• The validation test test_imports may fail in environments without CUDA due to module-level CUDA initialization in the codebase
• pyvista is optional due to VTK dependency issues on some platforms
• All pytest standard options are available through the Poetry commands
• Coverage threshold is set to 80% but can be adjusted in pyproject.toml

Next Steps

Developers can now:

1. Write unit tests in tests/unit/
2. Write integration tests in tests/integration/
3. Use the provided fixtures for common testing needs
4. Run tests with coverage reporting to ensure code quality