Pytest-localserver is a plugin for the pytest testing framework which enables you to test server connections locally.

PyMdown Extensions is a collection of extensions for Python Markdown. All extensions are found under the module namespace of pymdownx.

This package contains a plugin for the Pytest framework that provides advanced doctest support and enables the testing of reStructuredText files.

This plugin makes it simple to test general data, images, files, and numeric tables by saving expected data in a data directory (courtesy of pytest-datadir) that can be used to verify that future runs produce the same data.

This project does not implement the parsing of pyproject.toml containing PEP 621 metadata. Instead, given a Python data structure representing PEP 621 metadata (already parsed), it will validate this input and generate a PEP 643-compliant metadata file (e.g. PKG-INFO).

This plugin allows you to set up and tear down fixtures within unit test functions that use py.test. This is useful for using hypothesis inside py.test, as hypothesis will call the test function multiple times, without setting up or tearing down fixture state as is normally the case.

This is the Cython-coded accelerator module for PyOpenGL.

This plugin helps to use fixtures in pytest.mark.parametrize.

This package provides a pytest plugin for writing tests for mypy plugins.

This package provides a Bootstrap-based Sphinx theme from the PyData community.

This package provides a pytest plugin to test that mypy produces a given output. As mypy can be told to display the type of an expression this allows you to check mypys type interference.

Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

PyTorch is a Python package that provides two high-level features:

• tensor computation (like NumPy) with strong GPU acceleration;

• deep neural networks (DNNs) built on a tape-based autograd system.

You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

Note: currently this package does not provide GPU support.

PyTorch is a Python package that provides two high-level features:

• tensor computation (like NumPy) with strong GPU acceleration;

• deep neural networks (DNNs) built on a tape-based autograd system.

You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

Note: currently this package does not provide GPU support.

pytest-random-order is a Pytest plugin that randomizes the order of tests. This can be useful to detect a test that passes just because it happens to run after an unrelated test that leaves the system in a favourable state. The plugin allows user to control the level of randomness they want to introduce and to disable reordering on subsets of tests. Tests can be rerun in a specific order by passing a seed value reported in a previous test run.

Extra Pydantic types.

A Lexer for Pygments, following what could be a standardized pseudocode.

This package provides a pytest plugin to re-run tests to eliminate flaky failures.

This package provides a pytest plugin to re-run tests to eliminate flaky failures.

This plugin helps to use fixtures in pytest.mark.parametrize, inspied by pytest-lazy-fixture.

This package provides fixture configuration utilities for the py.test testing framework.

pyxDamerauLevenshtein implements the Damerau-Levenshtein (DL) edit distance algorithm for Python in Cython for high performance.

This package provides a Pytest plugin for customizing string representations of doctest results. It can change the display hook used by doctest to render the object representations.

This package aims to make the transition away from pytz easier. It is intended for temporary usage only, and should allow you to drop your dependency on pytz while also giving your users notice that eventually you will remove support for the pytz-specific interface.