Metadata-Version: 2.1
Name: pyfakefs
Version: 5.2.4
Summary: pyfakefs implements a fake file system that mocks the Python file system modules.
Home-page: https://github.com/pytest-dev/pyfakefs
Author: Google
Author-email: google-pyfakefs@google.com
Maintainer: John McGehee
Maintainer-email: pyfakefs@johnnado.com
License: http://www.apache.org/licenses/LICENSE-2.0
Description: # 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) ![Testsuite](https://github.com/pytest-dev/pyfakefs/workflows/Testsuite/badge.svg) [![Documentation Status](https://readthedocs.org/projects/pytest-pyfakefs/badge/?version=latest)](https://pytest-pyfakefs.readthedocs.io/en/latest/?badge=latest) [![pre-commit.ci status](https://results.pre-commit.ci/badge/github/pytest-dev/pyfakefs/main.svg)](https://results.pre-commit.ci/latest/github/pytest-dev/pyfakefs/main)
        
        
        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 creates a new empty in-memory file system at each test start, which replaces
        the real filesystem during the test. Think of pyfakefs as making a per-test temporary
        directory, except for an entire file system.
        
        There are several means to achieve this: by using
        the `fs` fixture if running pytest, by using `fake_filesystem_unittest.TestCase` as a
        base class if using unittest, by using a `fake_filesystem_unittest.Patcher` instance
        as a context manager, or by using the `patchfs` decorator.
        
        
        
        pyfakefs works with current versions of Linux, Windows and macOS.
        
        ## Documentation
        
        This document provides a general overview for pyfakefs.  There is more:
        
        * The documentation at **Read the Docs**:
          * The [Release documentation](https://pytest-pyfakefs.readthedocs.io/en/stable)
            contains usage documentation for pyfakefs and a description of the
            most relevant classes, methods and functions for the last version
            released on PyPI
          * The [Development documentation](https://pytest-pyfakefs.readthedocs.io/en/latest)
            contains the same documentation for the current main branch
          * The [Release 3.7 documentation](https://pytest-pyfakefs.readthedocs.io/en/v3.7.2/)
            contains usage documentation for the last version of pyfakefs
            supporting Python 2.7
        * The [Release Notes](https://github.com/pytest-dev/pyfakefs/blob/main/CHANGES.md)
          show a list of changes in the latest versions
        
        ## Usage
        The simplest method to use pyfakefs is using the `fs` fixture with `pytest`.
        Refer to the
        [usage documentation](https://pytest-pyfakefs.readthedocs.io/en/latest/usage.html)
        for information on other test scenarios, test customization and
        using convenience functions.
        
        ## Features
        Apart from automatically mocking most file-system functions, pyfakefs
        provides some additional features:
        - mapping files and directories from the real file system into the fake filesystem
        - configuration and tracking of the file system size
        - pause and resume of patching to be able to use the real file system inside a
          test step
        - (limited) emulation of other OSes (Linux, macOS or Windows)
        - configuration to behave as if running as a non-root user while running
          under root
        
        ## Compatibility
        pyfakefs works with CPython 3.7 and above, on Linux, Windows and macOS, and
        with PyPy3.
        
        pyfakefs works with [pytest](http://doc.pytest.org) version 3.0.0 or above,
        though a current version is recommended.
        
        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. Refer to the
        [documentation](https://pytest-pyfakefs.readthedocs.io/en/latest/intro.html#limitations)
        for more information about the limitations of pyfakefs.
        
        ## Development
        
        ### Continuous integration
        
        pyfakefs is currently automatically tested on Linux, macOS and Windows, with
        Python 3.7 to 3.11, and with PyPy3 on Linux, using
        [GitHub Actions](https://github.com/pytest-dev/pyfakefs/actions).
        
        ### Running pyfakefs unit tests
        
        #### On the command line
        pyfakefs unit tests can be run using `pytest` (all tests) or `unittest`
        (all tests except `pytest`-specific ones):
        
        ```bash
        $ cd pyfakefs/
        $ export PYTHONPATH=$PWD
        
        $ python -m pytest pyfakefs
        $ python -m pyfakefs.tests.all_tests
        ```
        
        Similar scripts are called by `tox` and Github Actions. `tox` can be used to
        run tests locally against supported python versions:
        
        ```bash
        $ tox
        ```
        
        #### In a Docker container
        
        The `Dockerfile` at the repository root 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/pytest-dev/pyfakefs/blob/main/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 was 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/pytest-dev/pyfakefs) where an enthusiastic community actively supports, maintains
        and extends pyfakefs. In 2022, the repository has been transferred to
        [pytest-dev](https://github.com/pytest-dev) to ensure continuous maintenance.
        
Keywords: testing,test,file,os,shutil,pathlib,mocking,unittest,pytest,fakes,filesystem
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Testing
Classifier: Topic :: System :: Filesystems
Classifier: Framework :: Pytest
Requires-Python: >=3.7
Description-Content-Type: text/markdown
