Skip to main content

pyfakefs implements a fake file system that mocks the Python file system modules.

Project description

pyfakefs

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:
    • The Release documentation 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 contains the same documentation for the current master branch
    • The Release 3.3 documentation 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 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 for more information on test scenarios, test customization and using convenience functions.

Installation

Compatibility

pyfakefs works with CPython 2.7, 3.4 and above, on Linux, Windows and OSX (MacOS), and with PyPy2 and PyPy3.

pyfakefs works with PyTest 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. In this case lxml must be replaced with a pure Python alternative such as xml.etree.ElementTree.

PyPi

pyfakefs is available on PyPi.

Development

Continuous integration

pyfakefs is currently automatically tested:

  • Build Status on Linux, with Python 2.7, and 3.4 to 3.7, using Travis
  • Build Status on MacOS, with Python 2.7, 3.6 and 3.7, using Travis
  • Build status on Windows, with Python 2.7, and 3.4 to 3.7 using Appveyor

Running pyfakefs unit tests

pyfakefs unit tests are available via two test scripts:

$ python -m pyfakefs.tests.all_tests
$ python -m pytest pyfakefs/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:

$ tox

Contributing to pyfakefs

We always welcome contributions to the library. Check out the Contributing Guide 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:

After the shutdown of Google Code was announced, John McGehee merged all three Google Code projects together here on GitHub where an enthusiastic community actively supports, maintains and extends pyfakefs.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyfakefs-3.5.2.tar.gz (152.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyfakefs-3.5.2-py2.py3-none-any.whl (168.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pyfakefs-3.5.2.tar.gz.

File metadata

  • Download URL: pyfakefs-3.5.2.tar.gz
  • Upload date:
  • Size: 152.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.23.0 CPython/3.6.3

File hashes

Hashes for pyfakefs-3.5.2.tar.gz
Algorithm Hash digest
SHA256 f3e975e63ef36909ed107c165d00a4047db45e59a8a8b95d5b391f125b935fc6
MD5 236094977e7e195af5a254dd8302a5e0
BLAKE2b-256 d303457e8de80938e7b8244c1597a1f474790d6018d17cd248399b017a503019

See more details on using hashes here.

File details

Details for the file pyfakefs-3.5.2-py2.py3-none-any.whl.

File metadata

  • Download URL: pyfakefs-3.5.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 168.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.23.0 CPython/3.6.3

File hashes

Hashes for pyfakefs-3.5.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7fa78acc32000f698dbfecf0ddf5d9070cfeeecc2d4af05f5caf086e629c810e
MD5 af81cabd74ca956f1a2fa83c8e211889
BLAKE2b-256 ce0aefd08ef7eaca7ef881cb5621fe69eb3a092a7d443fc670b64754b832e041

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page