This is a py.test plugin that enables you to set environment variables in the pytest.ini file.

This package provides a Pytest plugin to run tests multiple times and detect flakyness.

This package implements a functionality to write tests which assert immutability of computed results.

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

Sure is a python library that leverages a DSL for writing assertions. Sure is heavily inspired by RSpec Expectations and should.js.

Vulture finds unused code in Python programs. This is useful for cleaning up and finding errors in large code bases. If you run Vulture on both your library and test suite you can find untested code. Due to Python's dynamic nature, static code analyzers like Vulture are likely to miss some dead code. Also, code that is only called implicitly may be reported as unused.

Mypy is an optional static type checker for Python that aims to combine the benefits of dynamic typing and static typing. Mypy combines the expressive power and convenience of Python with a powerful type system and compile-time type checking. Mypy type checks standard Python programs; run them using any Python VM with basically no runtime overhead.

This package provides a rewrite of the builtin doctest module which leverages the Python AST instead of REGEXPs.

pynose is a maintained successor of deprecated nose unittest runner. Changes over nose:

• fixes AttributeError: module 'collections' has no attribute 'Callable'

• fixes AttributeError: module 'inspect' has no attribute 'getargspec'

• fixes ImportError: cannot import name '_TextTestResult' from 'unittest'

• fixes RuntimeWarning: TestResult has no addDuration method

• fixes DeprecationWarning: pkg_resources is deprecated as an API

• fixes all flake8 issues from the original nose

• replaces the imp module with the newer importlib module

• the default logging level now hides INFO logs for less noise

• adds --capture-logs for hiding output from all logging levels

• adds --logging-init to use logging.basicConfig(level)

• the -s option is always active to see the output of print()

• adds --capture-output for hiding the output of print()

• adds --co as a shortcut to using --collect-only

This package provides a plugin for Pytest which adds the ability to retry flaky tests, thereby improving the consistency of the test suite results.

This package provides a simple pytest plugin that provides some helpful fixtures for testing Tornado (version 5.0 or newer) apps and easy handling of plain (undecoratored) native coroutine tests.

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 flake8 plugin helps you keep up with method deprecations by providing hints about what deprecated methods should be replaced with.

This package provides a collection of utility functions and classes which make writing and running functional and integration tests easier.

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

This package provides extensive dynamic type checks for dtypes and shapes of arrays for NumPy, extending numpy.typing.

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.

Pyflakes statically checks Python source code for common errors.

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 lets you set a different time for your tests.

This package provides a Python module for creating JUnit XML test result documents that can be read by tools such as Jenkins or Bamboo.

Hiro provides context managers and utilities to either freeze, accelerate or decelerate and jump between different points in time. Functions exposed by the standard library’s time, datetime and date modules are patched within the contexts exposed.

This library provides a way to check examples in your code and documentation by parsing them from their source and evaluating the parsed examples as part of your normal test run. Integration is provided for the main Python test runners.

This package enables dynamic orchestration of Celery environments for testing tasks in isolated conditions, leveraging Docker & pytest-docker-tools for environment simulation.