When contributing to pycodestyle, please observe our Code of Conduct.
Fork the pycodestyle repository on GitHub. This will add pycodestyle to your GitHub account. You will push your changes to your fork and then make pull requests into the official pycodestyle repository.
GitHub has an excellent guide that has screenshots on how to do this.
Next, clone your fork of the pycodestyle repository to your system for editing:
$ git clone https://www.github.com/<your_username>/pycodestyle
Now you have a copy of the pycodestyle codebase that is almost ready for edits. Next we will setup virtualenv which will help create an isolated environment to manage dependencies.
virtualenv is a tool to create isolated python environments. First, install virtualenv with:
$ pip install virtualenv
Next, cd
to the pycodestyle repository that you cloned earlier and
create, then activate a virtualenv:
$ cd pycodestyle $ virtualenv venv-pycodestyle $ source venv-pycodestyle/bin/activate
Note that venv*/
is ignored via .gitignore
.
Now you can install the pycodestyle requirements:
$ pip install -r dev-requirements.txt
To deactivate the virtualenv you can type:
$ deactivate
For more information see virtualenv's documentation.
Before creating a pull request you should run the tests to make sure that the changes that have been made haven't caused any regressions in functionality. To run the tests, the core developer team and GitHub Actions use tox:
$ pip install -r dev-requirements.txt $ tox
All the tests should pass for all available interpreters, with the summary of:
congratulations :)
At this point you can create a pull request back to the official pycodestyle repository for review! For more information on how to make a pull request, GitHub has an excellent guide.
The current tests are written in 2 styles:
- pytest tests
- functional test using a custom framework
The tests are written using pytest
, the existing tests
include unit, integration and functional tests.
To run the tests:
$ pytest tests
$ pip install -e . $ # Run all tests. $ pytest tests/test_data.py $ # Run a subset of the tests. $ pytest tests/tests_data.py -k testing/data/E30.py