Contributions are welcome, and they are greatly appreciated!
You can contribute in many ways:
Report bugs by filing an issue.
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.
Dlup could always use more documentation, whether as part of the official dlup 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.
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 dlup for local development.
- Fork the dlup repo on GitHub.
- Clone your fork locally:
$ git clone [email protected]:your_name_here/dlup.git
- Create a virtual environment either through conda, docker or virtualenv
- Install git pre-commit hooks
- Install pre-commit.
- Install pre-commit hooks:
pre-commit install
.
- Install your local copy into a virtual environment:
$ cd dlup/
$ pip install --editable ".[dev]"
- Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature`
Now you can make your changes locally.
- When you're done making changes, check that your changes pass the tests and the pre-commit hooks and the tests, including testing other Python versions with pre-commit:
$ make tests
$ tox
$ pre-commit
To get pylint and tox, just pip install them.
- 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
- Submit a pull request through the GitHub website.
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.rst.
- The pull request should work for Python 3.8 and 3.9, and for PyPy. Check https://travis-ci.com/NKI-AI/dlup/pull_requests and make sure that the tests pass for all supported Python versions.
To run a subset of tests:
$ pytest tests.test_dlup`
A reminder for the maintainers on how to deploy. Make sure all your changes are committed. Then run:
$ bump2version patch # possible: major / minor / patch
$ git push