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.

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.

This plugin package provides a way to include information about the system, Python installation, and select dependencies in the header of the output when running pytest. It can be used with packages that are not affiliated with the Astropy project, but is optimized for use with astropy-related projects.

This package installs Github custom lexers to Pygments.

This package provides a pytest plugin for testing console scripts.

This package contains a simple plugin for the pytest framework that provides a shortcut to testing all code and documentation for a given sub-package.

Pytest Helpers Namespace Plugin provides a helpers pytest namespace which can be used to register helper functions without requiring someone to import them in their actual tests to use them.

Community maintained hooks for PyInstaller