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:tada: Thanks for taking the time to contribute! :tada:
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🎉 Thanks for taking the time to contribute! 🎉
If you would like to report a bug, request a new feature or enhancement, follow this link.
# clone the repo git clone -b dev https://github.com/protectai/llm-guard.git cd llm-guard # create a virtual environment python -m venv venv source venv/bin/activate # install the repo python -m pip install ".[dev]" # download SpaCy model python -m spacy download en_core_web_trf
Our project uses pytest for testing. Make sure that all tests pass before you submit a pull request.
python -m pytest --exitfirst --verbose --failed-first --cov=. python -m coverage run -m pytest .
We use
black code style.
You can run
pre-commit run --all-files to run all linters.
If you are adding a new feature or changing the existing functionality, please include corresponding changes in the documentation.
Thank you for making our project better. We appreciate your effort and look forward to your contribution!