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

This package provides a simple implementation of contracts for Python. Contracts are a debugging and verification tool. They are declarative statements about what states a program must be in to be considered "correct" at runtime. They are similar to assertions, and are verified automatically at various well-defined points in the program. Contracts can be specified on functions and on classes.

This package implements a functionality to store data created during your pytest tests execution, and retrieve it at the end of the session, e.g. for applicative benchmarking purposes.

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

This package provides a pytest fixture that will group the tests into rounds that are calibrated to the chosen timer.

This project will create an empty file of a type requested. If possible, that file will be the smallest valid file for that type. For example, an empty jpg will be a 1x1 pixel jpg.

This plugin allows running Pylint with Pytest and have configurable rule types (i.e. Convention, Warn, and Error) fail the build.

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.

This package provides a simple Python test runner for unittest that outputs Test Anything Protocol (TAP) results to standard output. Contrary to other TAP runners for Python, pycotap...

• prints TAP (and only TAP) to standard output instead of to a separate file, allowing you to pipe it directly to TAP pretty printers and processors;

• only contains a TAP reporter, so no parsers, no frameworks, no dependencies, etc;

• is configurable: you can choose how you want the test output and test result diagnostics to end up in your TAP output (as TAP diagnostics, YAML blocks, or attachments).

This pytest plugin manages dependencies of tests. It allows to mark some tests as dependent from other tests. These tests will then be skipped if any of the dependencies did fail or has been skipped.

This package provides a Pytest plugin which leverages @pytest.mark.parametrize decorator separating test cases from test functions.

The eradicate command removes commented-out code from Python files. It does this by detecting block comments that contain valid Python syntax that are likely to be commented out code.

Avocado is a set of tools and libraries to help with automated testing, i.e. a test framework. Native tests are written in Python and they follow the unittest pattern, but any executable can serve as a test. The following output formats are supported:

xUnit

an XML format that contains test results in a structured form, and are used by other test automation projects, such as Jenkins.

JSON

a widely used data exchange format. The JSON Avocado plugin outputs job information, similarly to the xunit output plugin.

TAP

Provides the basic TAP (Test Anything Protocol) results. Unlike most existing Avocado machine readable outputs this one is streamlined (per test results).

This pytest plugin provides fixtures to simplify Flask app testing.

This is a plugin to facilitate image comparison for Matplotlib figures in Pytest.

Validation library and CLI tool for checking on pyproject.toml files using JSON Schema.

Beartype aims to be a very fast runtime type checking tool written in pure Python.

The pyux utility detects API changes in Python libraries.

xunitparser reads a JUnit/XUnit XML file and maps it to Python objects. It tries to use the objects available in the standard unittest module.

Doc8 is an opinionated style checker for reStructured Text and plain text styles of documentation.

This package implements a functionality to check for python builtins being used as variables or parameters.

Tappy is a set of tools for working with the Test Anything Protocol (TAP) in Python. TAP is a line based test protocol for recording test data in a standard way.

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

This is a meta-package that pulls in the dependencies that are used by astropy related packages.