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Contributing

Contributions are welcome and greatly appreciated!

Types of Contributions

Report Bugs

Report bugs at https://github.com/rhayes777/PyAutoFit/issues

If you are playing with the PyAutoFit library and find a bug, please reporting it including:

  • Your operating system name and version.
  • Any details about your Python environment.
  • Detailed steps to reproduce the bug.

Propose New NonLinearSearch or Features

The best way to send feedback is to open an issue at https://github.com/rhayes777/PyAutoFit/issues with tag enhancement.

If you are proposing a new NonLinearSearch or a new feature:

  • Explain in detail how it should work.
  • Keep the scope as narrow as possible, to make it easier to implement.

Implement NonLinearSearch or Features

Look through the Git issues for operator or feature requests. Anything tagged with enhancement is open to whoever wants to implement it.

Add Examples or improve Documentation

Writing new features is not the only way to get involved and contribute. Create examples with existing non-linear searches as well as improving the documentation of existing operators is as important as making new non-linear searches and very much encouraged.

Getting Started to contribute

Ready to contribute?

  1. Follow the installation instructions for installing PyAutoFit from source root on our readthedocs.

  2. Create a branch for local development:

    git checkout -b name-of-your-branch

    Now you can make your changes locally.

  3. When you're done making changes, check that old and new tests pass succesfully:

    cd PyAutoFit/test_autofit
python3 -m pytest

  4. Commit your changes and push your branch to GitLab::

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

    Remember to add -u when pushing the branch for the first time.

  5. Submit a pull request through the GitHub website.

Pull Request Guidelines

Before you submit a pull request, check that it meets these guidelines:

  1. The pull request should include new tests for all the core routines that have been developed.
  2. If the pull request adds functionality, the docs should be updated accordingly.