pyfakefs | pyfakefs implements a fake file system | Mock library

 by   jmcgeheeiv Python Version: v4.5.6 License: Apache-2.0

kandi X-RAY | pyfakefs Summary

kandi X-RAY | pyfakefs Summary

pyfakefs is a Python library typically used in Testing, Mock applications. pyfakefs has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

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.
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            kandi-support Support

              pyfakefs has a highly active ecosystem.
              It has 409 star(s) with 75 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 422 have been closed. On average issues are closed in 36 days. There are 1 open pull requests and 0 closed requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of pyfakefs is v4.5.6

            kandi-Quality Quality

              pyfakefs has 0 bugs and 0 code smells.

            kandi-Security Security

              pyfakefs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pyfakefs code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pyfakefs is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyfakefs releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              pyfakefs saves you 7611 person hours of effort in developing the same functionality from scratch.
              It has 16542 lines of code, 2082 functions and 52 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyfakefs and discovered the below as its top functions. This is intended to give you an instant insight into pyfakefs implemented functionality, and help decide if they suit your requirements.
            • Create a file - like object .
            • Creates a fake file .
            • Sets an attribute on an object .
            • Join the real path to the real path .
            • Wrap a write method .
            • Send a file to fd_out .
            • Initialize the fake stat .
            • Resolve a symlink .
            • Removes the specified directory .
            • Get home directory for given username .
            Get all kandi verified functions for this library.

            pyfakefs Key Features

            No Key Features are available at this moment for pyfakefs.

            pyfakefs Examples and Code Snippets

            Convert bytes to CC source code .
            pythondot img1Lines of Code : 118dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _convert_bytes_to_cc_source(data,
                                            array_name,
                                            max_line_width=80,
                                            include_guard=None,
                                            include_path=None,
                            
            Convert xxd output to bytes .
            pythondot img2Lines of Code : 37dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def xxd_output_to_bytes(input_cc_file):
              """Converts xxd output C++ source file to bytes (immutable).
            
              Args:
                input_cc_file: Full path name to th C++ source file dumped by xxd
            
              Raises:
                RuntimeError: If input_cc_file path is invalid.
                I  
            Returns the size of the dump in bytes .
            pythondot img3Lines of Code : 33dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def get_dump_sizes_bytes(self,
                                       node_name,
                                       output_slot,
                                       debug_op,
                                       device_name=None):
                """Get the sizes of the dump files for a debug-dumped   

            Community Discussions

            QUESTION

            Why FileNotFoundError on Path.rename while using Pyfakefs?
            Asked 2022-Apr-02 at 14:13

            I wrote a test for a function that renames files from e.g. /videos/vid_youtube.mp4 to /videos/youtube/vid.mp4. The test patches the fs with Pyfakefs.

            When the code actually renames the file, I get this error.

            ...

            ANSWER

            Answered 2022-Apr-02 at 14:13

            The problem here is most likely the static initialization of Dirs.VIDEOS. This is initialized at load time as a pathlib.Path, and won't be patched later at the time you setup pyfakefs (the same problem would happen if you where to use unittest.patch for patching).

            There are two ways to fix this:

            • adapt the code to not initialize the path statically
              This could be done by statically defining the str path, and converting it to a Path at run time, or by using a method to get the path instead of an attribute (e.g. Dirs.VIDEO() instead of Dirs.VIDEO`).
            • adapt the test to reload the tested code
              If reloading the tested code after pyfakefs has been initialized, it will be correctly patched. pyfakefs provides an argument in setUpPyfakefs that does that:

            Source https://stackoverflow.com/questions/71716196

            QUESTION

            Patching over local JSON file in unit testing
            Asked 2022-Feb-27 at 11:37

            I have some Python code that loads in a local JSON file:

            ...

            ANSWER

            Answered 2022-Feb-27 at 11:37

            QUESTION

            Keep pathlib.(Posix)Path patched by pyfakefs when subclassing it
            Asked 2021-Oct-07 at 18:22

            I have subclassed PosixPath this way:

            ...

            ANSWER

            Answered 2021-Oct-07 at 18:22

            The problem here is that Node is derived from PosixPath at load time, while pathlib is not patched yet, and it will not be patched because patching is done by module name. If you want to have it derived from the patched PosixPath, the class definition has to be reloaded after patching started. As you are using pytest, the best way is probably to write your own fixture that does that:

            Source https://stackoverflow.com/questions/69483331

            QUESTION

            Mocking class methods, still running the original method with some wrapped code
            Asked 2021-Jun-20 at 08:14

            I want to patch a method by running the original method with additional code before and after. In particular, I'm running tests within a pyfakefs in-memory file system, but I want to sometime use the real file system because some packages will not work on the fake file system (pybedtools in my case).

            There is probably simple way to do this, but I can't figure it out after many, many tries. Is this possible?

            Just for an example, below I'm trying to patch to_csv in pandas.

            ...

            ANSWER

            Answered 2021-Jun-20 at 08:14

            One (not very elegant) possibility would be to use the third approach and avoid the recursion by using the old saved to_csv method:

            Source https://stackoverflow.com/questions/68049868

            QUESTION

            Pip requirements installation fails in Travis due to idna version conflict
            Asked 2021-Mar-04 at 22:45

            One of my Travis build tests have started to fail with the following error:

            ...

            ANSWER

            Answered 2021-Mar-04 at 22:45

            Historically, pip didn't have a proper dependency resolver. So, if you asked it to install a package without any version flag, you’d be getting the newest version of the package, even if it conflicts with other packages that you had already installed.

            However, with pip 20.3, this changes, and now pip has a stricter dependency resolver. Pip will now complain if any of your sub-dependencies are incompatible.

            As a quick fix, you can pin your idna version in your requirements.txt to 2.05. As a longer-term solution, you can adopt a tool like pip-tools where you will be able to pin your top-level dependencies in a requirements.in file and run a pip-compile command to generate the requirements.txt file. This way there will be an explicit delineation between the top-level dependencies and the sub-dependencies. Also, the tool will resolve the sub-dependency conflicts for you.

            Source https://stackoverflow.com/questions/66483306

            QUESTION

            Unable to find fixture "mocker" (pytest-mock) when running from tox
            Asked 2020-Nov-22 at 22:55

            I have been using pytest-mock library for mocking with pytest. When I'm trying to run the test using tox command, I am getting the following error:

            ...

            ANSWER

            Answered 2020-Nov-22 at 22:55

            tox currently (though this is planned to be improved in the (at the time of writing) current rewrite) does not recreate environments if files it does not manage change (such as requirements.txt / setup.py)

            For a related question, you can see my question and workarounds

            the core issue here is if you're not managing tox environment dependencies directly inline in tox.ini it will not notice changes (such as adding / removing dependencies from requirements.txt) and so you will need to run tox with the --recreate flag to reflect those changes

            disclaimer: I'm one of the current tox maintainers

            Source https://stackoverflow.com/questions/64417559

            QUESTION

            importlib_resources backport not compatible with pyfakefs?
            Asked 2020-Feb-05 at 19:28

            I'm refactoring a library to use importlib.resources for python 3.7+. I'm using the importlib_resources backport for python 3.6 compatibility. The code works for pythons 3.6-3.8. However, the pytest tests, using pyfakefs, fail for 3.6. Under testing conditions, the path returned from use of importlib_resources is mangled (but under "real-world" conditions they return correctly).

            A minimal example: I have the following library structure:

            ...

            ANSWER

            Answered 2020-Feb-05 at 19:28

            The fake filesystem in pyfakefs is empty at test start (except for the temp file path needed by the tempfile module), so if you want to access any files in the real filesystem in your test, you have to map them into the fake filesystem:

            Source https://stackoverflow.com/questions/60068183

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pyfakefs

            You can download it from GitHub.
            You can use pyfakefs like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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