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Contributing to QuantLLM

We love your input! We want to make contributing to QuantLLM as easy and transparent as possible, whether it's:

  • Reporting a bug
  • Discussing the current state of the code
  • Submitting a fix
  • Proposing new features
  • Becoming a maintainer

Development Process

We use GitHub to host code, to track issues and feature requests, as well as accept pull requests.

  1. Fork the repo and create your branch from main
  2. If you've added code that should be tested, add tests
  3. If you've changed APIs, update the documentation
  4. Ensure the test suite passes
  5. Make sure your code lints
  6. Issue that pull request!

Development Setup

  1. Clone your fork:
git clone https://github.com/codewithdark-git/QuantLLM.git
cd QuantLLM
  1. Create a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install development dependencies:
pip install -e ".[dev]"

Testing

Run tests with:

pytest tests/

For coverage report:

pytest --cov=quantllm tests/

Code Style

  • We use black for Python code formatting
  • isort for import sorting
  • flake8 for style guide enforcement

Run linting:

black .
isort .
flake8 .

Documentation

  • Documentation is written in reStructuredText
  • Built using Sphinx
  • Hosted on Read the Docs

Build docs locally:

cd docs
make html

Pull Request Process

  1. Update the README.md with details of changes to the interface
  2. Update the docs/ directory with any new documentation
  3. Update the tests/ directory with relevant test cases
  4. The PR will be merged once you have the sign-off of two other developers

Any contributions you make will be under the MIT Software License

In short, when you submit code changes, your submissions are understood to be under the same MIT License that covers the project. Feel free to contact the maintainers if that's a concern.

Report bugs using GitHub's issue tracker

We use GitHub issues to track public bugs. Report a bug by opening a new issue.

Write bug reports with detail, background, and sample code

Great Bug Reports tend to have:

  • A quick summary and/or background
  • Steps to reproduce
    • Be specific!
    • Give sample code if you can
  • What you expected would happen
  • What actually happens
  • Notes (possibly including why you think this might be happening, or stuff you tried that didn't work)

License

By contributing, you agree that your contributions will be licensed under its MIT License.