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# pyfakefs [![PyPI version](https://badge.fury.io/py/pyfakefs.svg)](https://badge.fury.io/py/pyfakefs) [![Python version](https://img.shields.io/pypi/pyversions/pyfakefs.svg)](https://img.shields.io/pypi/pyversions/pyfakefs.svg)
pyfakefs implements a fake file system that mocks the Python file system modules.
Using pyfakefs, your tests operate on a fake file system in memory without
touching the real disk. The software under test requires no modification to
work with pyfakefs.
pyfakefs works with Linux, Windows and MacOS.
## Documentation
This file provides general usage instructions for pyfakefs. There is more:
* The documentation at [GitHub Pages:](http://jmcgeheeiv.github.io/pyfakefs)
* The [Release documentation](http://jmcgeheeiv.github.io/pyfakefs/release)
contains usage documentation for pyfakefs and a description of the
most relevent classes, methods and functions for the last version
released on PyPi
* The [Development documentation](http://jmcgeheeiv.github.io/pyfakefs/master)
contains the same documentation for the current master branch
* The [Release 3.7 documentation](http://jmcgeheeiv.github.io/pyfakefs/release37)
contains usage documentation for the last version of pyfakefs
supporting Python 2.7
* The [Release 3.3 documentation](http://jmcgeheeiv.github.io/pyfakefs/release33)
contains usage documentation for the last version of pyfakefs
supporting Python 2.6, and for the old-style API (which is still
supported but not documented in the current release)
* The [Release Notes](https://github.com/jmcgeheeiv/pyfakefs/blob/master/CHANGES.md)
show a list of changes in the latest versions
### Linking to pyfakefs
In your own documentation, please link to pyfakefs using the canonical URL <http://pyfakefs.org>.
This URL always points to the most relevant top page for pyfakefs.
## Usage
pyfakefs has support for `unittest` and `pytest`, but can also be used
directly using `fake_filesystem_unittest.Patcher`. Refer to the
[usage documentation](http://jmcgeheeiv.github.io/pyfakefs/master/usage.html)
for more information on test scenarios, test customization and
using convenience functions.
## Compatibility
pyfakefs works with CPython 3.5 and above, on Linux, Windows and OSX
(MacOS), and with PyPy3.
pyfakefs works with [PyTest](http://doc.pytest.org) version 2.8.6 or above.
pyfakefs will not work with Python libraries that use C libraries to access the
file system. This is because pyfakefs cannot patch the underlying C libraries'
file access functions--the C libraries will always access the real file system.
For example, pyfakefs will not work with [`lxml`](http://lxml.de/). In this case
`lxml` must be replaced with a pure Python alternative such as
[`xml.etree.ElementTree`](https://docs.python.org/3/library/xml.etree.elementtree.html).
## Development
### Continuous integration
pyfakefs is currently automatically tested:
* [![Build Status](https://travis-ci.org/jmcgeheeiv/pyfakefs.svg)](https://travis-ci.org/jmcgeheeiv/pyfakefs)
on Linux, with Python 3.5 to 3.8, using [Travis](https://travis-ci.org/jmcgeheeiv/pyfakefs)
* [![Build Status](https://travis-ci.org/jmcgeheeiv/pyfakefs.svg)](https://travis-ci.org/jmcgeheeiv/pyfakefs)
on MacOS, with Python 3.6 to 3.8, using [Travis](https://travis-ci.org/jmcgeheeiv/pyfakefs)
* [![Build status](https://ci.appveyor.com/api/projects/status/4o8j21ufuo056873/branch/master?svg=true)](https://ci.appveyor.com/project/jmcgeheeiv/pyfakefs/branch/master)
on Windows, with Python 3.5 to 3.8 using [Appveyor](https://ci.appveyor.com/project/jmcgeheeiv/pyfakefs)
### Running pyfakefs unit tests
#### On the command line
pyfakefs unit tests can be run using `unittest` or `pytest`:
```bash
$ cd pyfakefs/
$ export PYTHONPATH=$PWD
$ python -m pyfakefs.tests.all_tests
$ python -m pyfakefs.tests.all_tests_without_extra_packages
$ python -m pytest pyfakefs/pytest_tests/pytest_plugin_test.py
```
These scripts are called by `tox` and Travis-CI. `tox` can be used to run tests
locally against supported python versions:
```bash
$ tox
```
#### In a Docker container
The `Dockerfile` at the top of the repository will run the tests on the latest
Ubuntu version. Build the container:
```bash
cd pyfakefs/
docker build -t pyfakefs .
```
Run the unit tests in the container:
```bash
docker run -t pyfakefs
```
### Contributing to pyfakefs
We always welcome contributions to the library. Check out the [Contributing
Guide](https://github.com/jmcgeheeiv/pyfakefs/blob/master/CONTRIBUTING.md)
for more information.
## History
pyfakefs.py was initially developed at Google by Mike Bland as a modest fake
implementation of core Python modules. It was introduced to all of Google
in September 2006. Since then, it has been enhanced to extend its
functionality and usefulness. At last count, pyfakefs is used in over 2,000
Python tests at Google.
Google released pyfakefs to the public in 2011 as Google Code project
[pyfakefs](http://code.google.com/p/pyfakefs/):
* Fork
[jmcgeheeiv-pyfakefs](http://code.google.com/p/jmcgeheeiv-pyfakefs/) added
[direct support for unittest and doctest](../../wiki/Automatically-find-and-patch-file-functions-and-modules)
* Fork
[shiffdane-jmcgeheeiv-pyfakefs](http://code.google.com/p/shiffdane-jmcgeheeiv-pyfakefs/)
added further corrections
After the [shutdown of Google Code](http://google-opensource.blogspot.com/2015/03/farewell-to-google-code.html)
was announced, [John McGehee](https://github.com/jmcgeheeiv) merged all three Google Code projects together
[here on GitHub](https://github.com/jmcgeheeiv/pyfakefs) where an enthusiastic community actively supports, maintains
and extends pyfakefs.