# Contributing to pyfakefs We welcome any contributions that help to improve pyfakefs for the community. Contributions may include bug reports, bug fixes, new features, infrastructure enhancements, or documentation updates. ## How to contribute ### Reporting Bugs If you think you found a bug in pyfakefs, you can [create an issue](https://help.github.com/articles/creating-an-issue/). Before filing the bug, please check, if it still exists in the [master branch](https://github.com/jmcgeheeiv/pyfakefs). If you can reproduce the problem, please provide enough information so that it can be reproduced by other developers. This includes: * The Operating System * The Python version * A minimal example to reproduce the problem (preferably in the form of a failing test) * The stack trace in case of an unexpected exception. For better readability, you may use [markdown code formatting](https://help.github.com/articles/creating-and-highlighting-code-blocks/) for any included code. ### Proposing Enhancements If you need a specific feature that is not implemented, or have an idea for the next exciting gimmick in pyfakefs, you can also create a respective issue. Of course - implementing it yourself is the best chance to get it done! The next item has some information on doing this. ### Contributing Code The preferred workflow for contributing code is to [fork](https://help.github.com/articles/fork-a-repo/) the [repository](https://github.com/jmcgeheeiv/pyfakefs) on GitHub, clone it, develop on a feature branch, and [create a pull request](https://help.github.com/articles/creating-a-pull-request-from-a-fork) when done. There are a few things to consider for contributing code: * Please use the standard [PEP-8 coding style](https://www.python.org/dev/peps/pep-0008/) (your IDE or tools like [pep8](https://pypi.python.org/pypi/pep8) or [pylint](https://pypi.python.org/pypi/pylint) will help you) * Use the [Google documentation style](https://google.github.io/styleguide/pyguide.html) to document new public classes or methods * Provide unit tests for bug fixes or new functionality - check the existing tests for examples * Provide meaningful commit messages - it is ok to amend the commits to improve the comments * Check that the automatic tests on [Travis](https://travis-ci.org/jmcgeheeiv/pyfakefs) and [AppVeyor](https://ci.appveyor.com/project/jmcgeheeiv/pyfakefs) all pass for your pull request * Be ready to adapt your changes after a code review ### Contributing Documentation If you want to improve the existing documentation, you can do this also using a pull request. You can contribute to: * the source code documentation using [Google documentation style](https://google.github.io/styleguide/pyguide.html) * the [README](https://github.com/jmcgeheeiv/pyfakefs/blob/master/README.md) using [markdown syntax](https://help.github.com/articles/basic-writing-and-formatting-syntax/) * the documentation published on [GitHub Pages](http://jmcgeheeiv.github.io/pyfakefs/), located in the `docs` directory (call `make html` from that directory). For building the documentation, you will need [sphinx](http://sphinx.pocoo.org/). * [this file](https://github.com/jmcgeheeiv/pyfakefs/blob/master/CONTRIBUTING.md) if you want to enhance the contributing guide itself Thanks for taking the time to contribute to pyfakefs!