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# 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!
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