Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Types of Contributions¶
Report bugs at https://github.com/hayabhay/frogbase/issues.
If you are reporting a bug, 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.
Look through the GitHub issues for bugs. Anything tagged with "bug" and "help wanted" is open to whoever wants to implement it.
Look through the GitHub issues for features. Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it.
FrogBase could always use more documentation, whether as part of the official FrogBase docs, in docstrings, or even on the web in blog posts, articles, and such.
The best way to send feedback is to file an issue at https://github.com/hayabhay/frogbase/issues.
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 contributions are welcome :)
Ready to contribute? Here's how to set up
frogbase for local development.
- Fork the
frogbaserepo on GitHub.
- Clone your fork locally
- Ensure poetry is installed.
- Install dependencies and start your virtualenv:
- Create a branch for local development:
Now you can make your changes locally.
- Commit your changes and push your branch to GitHub:
1 2 3 4
- Submit a pull request through the GitHub website.
Pull Request Guidelines¶
Before you submit a pull request, check that it meets these guidelines:
- The pull request should include tests.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.md.
- The pull request should work for Python 3.8, 3.9, 3.11 and for PyPy. Check https://github.com/hayabhay/frogbase/actions and make sure that the tests pass for all supported Python versions.
To run a subset of tests.
A reminder for the maintainers on how to deploy. Make sure all your changes are committed (including an entry in HISTORY.md). Then run:
1 2 3
Github Actions will then deploy to PyPI if tests pass.