Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Report bugs at https://github.com/tawnkramer/gym-donkeycar/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.
OpenAI Gym Environments for Donkey Carcould always use more documentation, whether as part of the official OpenAI Gym Environments for Donkey Cardocs, 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/tawnkramer/gym-donkeycar/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 gym_donkeycar for local development.
Fork the gym_donkeycar repo on GitHub.
Clone your fork locally:
$ git clone [email protected]:your_name_here/gym-donkeycar.git
Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv gym_donkeycar $ cd gym_donkeycar/ $ python setup.py develop
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 flake8 and the tests, including testing other Python versions with tox:
$ flake8 gym_donkeycar tests $ python setup.py test or py.test $ tox
To get flake8 and tox, just pip install them into your virtualenv.
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 3.6, 3.7, and for PyPy. Check https://travis-ci.org/leigh-johnson/gym_donkeycar/pull_requests and make sure that the tests pass for all supported Python versions.
To run a subset of tests:
$ py.test tests.test_gym_donkeycar
A reminder for the maintainers on how to deploy. Make sure all your changes are committed (including an entry in HISTORY.rst). Then run:
$ bumpversion patch # possible: major / minor / patch
$ git push
$ git push --tags
Travis will then deploy to PyPI if tests pass.
WARNING: Ensure tests have passed on branch before cutting a release with bumpversion && git push --tags.
If the deploy build flakes, you will need run bumpversion and git push --tags again.