This package provides a next-generation test runner for Rust.

shUnit2 was originally developed to provide a consistent testing solution for log4sh, a shell based logging framework similar to log4j. It is designed to work in a similar manner to JUnit, PyUnit and others.

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

Catch2 stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C.

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

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.

toml-test is a language-agnostic test suite to verify the correctness of TOML parsers and writers. Tests are divided into two groups: invalid and valid. Decoders or encoders that reject invalid tests pass the tests, and decoders that accept valid tests and output precisely what is expected pass the tests. The output format is JSON.

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.

tidyall makes a lot of code tidiers and validators available from a single unified interface. You can run tidyall on a single file or on an entire project hierarchy, and configure which tidiers/validators are applied to which files. tidyall will back up files beforehand, and for efficiency will only consider files that have changed since they were last processed.

Note that if you see some missing tidier or validator modules error, you can let tidyall load them after install them. For example, one can run guix shell perl-perl-tidy perl in advance to load Perl::Tidy.

Testresources is an extension to Python's unittest to allow declarative use of resources by test cases.

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.

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.

This package provides relaxed test discovery for pytest.

Catch2 stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C.

pytest-mypi is a static type checker plugin for Pytest that runs the mypy static type checker on your source files as part of a Pytest test execution.

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

Cppcheck is a static code analyzer for C and C++. Unlike C/C++ compilers and many other analysis tools it does not detect syntax errors in the code. Cppcheck primarily detects the types of bugs that the compilers normally do not detect. The goal is to detect only real errors in the code (i.e. have zero false positives).

pytest-sugar is a plugin for py.test that changes the default look and feel of py.test, using a progress bar and showing failures and errors instantly.

Subunit is a streaming protocol for test results. Subunit comes with command line filters to process a subunit stream and language bindings for Python, C, C++ and shell. Bindings are easy to write for other languages.

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.

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.

Pytest-examples provides functionality for testing Python code examples in docstrings and markdown files, with its main features being:

• lint code examples using ruff and black

• run code examples

• run code examples and check print statements are inlined correctly in the code

• It can also update code examples in place to format them and insert or update print statements

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.

Testscenarios provides clean dependency injection for Python unittest style tests.