This package provides a pytest plugin for writing tests for mypy plugins.
This package provides an API wrapper for programmatic management of PythonAnywhere services.
This package provides a Bootstrap-based Sphinx theme from the PyData community.
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 Forecasting is a PyTorch-based package for forecasting with state-of-the-art deep learning architectures. It provides a high-level API and uses PyTorch Lightning to scale training on GPU or CPU, with automatic logging.
This package is a set of opinionated helpers for creating py.test fixtures for your smoke testing and integration testing. It strives to keep your environment definition declarative, like a docker-compose.yml. It embraces py.test fixture overloading.
This package provides a simple pytest plugin to run tests concurrently. The main goal of pytest-run-parallel is to discover thread-safety issues that could exist when using C libraries, this is of vital importance after PEP703, which provides a path for a CPython implementation without depending on the Global Interpreter Lock (GIL), thus allowing for proper parallelism in programs that make use of the CPython interpreter.
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.
This package provides sxtra types for Pydantic.
This package provides an interactive HTML debugger for Pyramid application development.
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 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.
Documentation at https://melpa.org/#/flymake-python-pyflakes
This package provides a pytest plugin for testing console scripts.
This package provides a pytest plugin for testing Jupyter libraries and extensions.
This package implements a functionality to save an SVG screenshot of a running Textual app to disk. The next time the test runs, it takes another screenshot and compares it to the saved one. If the new screenshot differs from the old one, the test fails. This is a convenient way to quickly and automatically detect visual regressions in your applications.
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.