Enable installed pytest plugins

Discover provides test discovery for unittest, a feature that has been backported from Python 2.7 for Python 2.4+.

Scripttest is a Python helper library for testing interactive command-line applications. With it you can run a script in a subprocess and see the output as well as any file modifications.

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.

This is a Pytest plugin to randomly order tests and control Python's random.seed.

Check is a unit testing framework for C. It features a simple interface for defining unit tests, putting little in the way of the developer. Tests are run in a separate address space, so Check can catch both assertion failures and code errors that cause segmentation faults or other signals. The output from unit tests can be used within source code editors and IDEs.

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.

Google Test features an XUnit test framework, automated test discovery, death tests, assertions, parameterized tests and XML test report generation.

Greatest is a single-header test system for C, including macros for defining tests, grouping them into suites, and providing a test runner. It is quite unopinionated with most of its features being optional.

PyHamcrest is a framework for writing matcher objects, allowing you to declaratively define "match" rules.

PICT is a pairwise testing tool that generates test cases and test configurations. With PICT, you can generate tests that are more effective than manually generated tests and in a fraction of the time required by hands-on test case design. PICT runs as a command line tool. It takes a model file detailing the parameters of the interface as an input and generates a compact set of parameter value choices that represent the test cases you should use to get comprehensive combinatorial coverage of your parameters.

Pytest plugin for checking Python source code with pyflakes.

Flaky is a plugin for nose or py.test that automatically reruns flaky tests.

Ideally, tests reliably pass or fail, but sometimes test fixtures must rely on components that aren't 100% reliable. With flaky, instead of removing those tests or marking them to @skip, they can be automatically retried.

CppUnit is the C++ port of the famous JUnit framework for unit testing. Test output is in XML for automatic testing and GUI based for supervised tests.

Testtools extends the Python standard library unit testing framework to provide matchers, more debugging information, and cross-Python compatibility.

This package provides a py.test plugin supplying fixtures and markers to simplify testing of asynchronous tornado applications.

actionlint is a static checker for GitHub Actions workflow files. Features include:

• Syntax check for workflow files to check unexpected or missing keys following workflow syntax

• Strong type check for ${{ }} expressions to catch several semantic errors like access to not existing property, type mismatches, ...

• Actions usage check to check that inputs at with: and outputs in steps.{id}.outputs are correct

• Reusable workflow check to check inputs/outputs/secrets of reusable workflows and workflow calls

• shellcheck and pyflakes integrations for scripts at run:

• Security checks; script injection by untrusted inputs, hard-coded credentials

• Other several useful checks; glob syntax validation, dependencies check for needs:, runner label validation, cron syntax validation, ...

This package provides a Python library intended for use in automated tests. One difficulty when testing software is that the code under test might need to read or write to files in the local file system. If the file system is not set up in just the right way, it might cause a spurious error during the test. The pyfakefs library provides a solution to problems like this by mocking file system interactions. In other words, it arranges for the code under test to interact with a fake file system instead of the real file system. The code under test requires no modification to work with pyfakefs.

Pytest-xprocess is an experimental py.test plugin for managing processes across test runs.

Codecov collects code coverage reports from code written in Python, Java, C/C++, R, and more, and uploads it to the codecov.io service.

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

This package provides a pytest-runner command that setup.py files can use to run tests.

checkmake is an experimental tool for linting and checking Makefiles. It allows for a set of configurable rules being run against a Makefile or a set of *.mk files.

Testrepository provides a database of test results which can be used as part of a developer's workflow to check things such as what tests have failed since the last commit or what tests are currently failing.