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CONTRIBUTING.md

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Contributing

Contributions are welcome, and they are greatly appreciated! Every little bit helps, and we will try to give credit appropriately.

Bug reports

Use the issue tracker. Please include:

  • Your operating system name and version.
  • Any details about your local setup that might be helpful in troubleshooting.
  • Detailed steps to reproduce the bug.

Documentation improvements

FastNumPy could always use more documentation, whether as part of the official FastNumPy docs, in docstrings, or even on the web in blog posts, articles, and such.

Feature requests and feedback

The best way to send feedback is to file an issue on the issue tracker.

If you are proposing a feature:

  • Explain in detail how it would work.
  • Keep the scope as narrow as possible, to make it easier to implement.
  • Remember that this is a volunteer-driven project, and that code contributions are welcome :)

Development

To set up pnumpy for local development:

  1. Fork pnumpy (look for the "Fork" button).

  2. Clone your fork locally

    git clone [email protected]:YOURGITHUBNAME/pnumpy.git

  3. Create a branch for local development::

    git checkout -b name-of-your-bugfix-or-feature

    Now you can make your changes locally.

  4. When you're done making changes run all the tests with

    python setup.py build_ext --inplace
python -m pip install pytest
python -m pytest tests

  5. Commit your changes and push your branch to GitHub::

    git add .
git commit -m "Your detailed description of your changes."
git push origin name-of-your-bugfix-or-feature

  6. Submit a pull request through the GitHub website.

Pull Request Guidelines

If you need some code review or feedback while you're developing the code just make the pull request.

For merging, you should:

  1. Update documentation when there's new API, functionality etc.
  2. Add a note to CHANGELOG.rst about the changes.
  3. Add yourself to AUTHORS.rst.

1If you don't have all the necessary python versions available locally you can rely on CI - it will run the tests for each change you add in the pull request.

It will be slower though ...

Tips

To run a subset of tests::

python -m pytest -k test_myfeature