This package provides a utility for mocking out the Python libraries HTTPX and HTTPCore.

This package provides utilities for production code that work well with python-approvaltests.

This package implements a spell checker for source code that does not try to be particularly smart and instead does the simplest thing that can possibly work.

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.

Pyinstrument is a Python profiler to help you optimize your code.

This package provides a plugin to fake subprocess for Pytest.

Pytest plugin for failing tests that take too long to run.

This plugin adds functionality to Pytest to recognise and collect Jupyter notebooks. The intended purpose of the tests is to determine whether execution of the stored inputs match the stored outputs of the .ipynb file. Whilst also ensuring that the notebooks are running without errors.

This package analyses Python test suites and reports how much of the code is covered by them. This tool is part of the Codacy suite for analysing code quality.

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.

Gcovr provides a utility for managing the use of the GNU gcov utility and generating summarized code coverage results. It is inspired by the Python coverage.py package, which provides a similar utility for Python.

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

pytest-repeat is a plugin for Pytest that makes it enables repeating a single test, or multiple tests, a specific number of times.

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 package provides Pytest plugin which splits the test suite to equally sized sub suites based on test execution time.

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 tag-expression parser for Cucumber and behave.

This package provides a Python library for design by contract (DbC) and checking values, exceptions, and side-effects. In a nutshell, deal implements functionality to write bug-free code. By adding a few decorators to the code, providing free tests, static analysis, formal verification, and much more.

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.

This package provides a pytest plugin for generating HTML reports.

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 provides a plugin for Pytest that enables a CSV output mode for Pytest. It can be enabled via the --csv option it adds to the Pytest command line interface (CLI).

VCR.py simplifies and speeds up tests that make HTTP requests. The first time you run code that is inside a VCR.py context manager or decorated function, VCR.py records all HTTP interactions that take place through the libraries it supports and serializes and writes them to a flat file (in yaml format by default). This flat file is called a cassette. When the relevant piece of code is executed again, VCR.py will read the serialized requests and responses from the aforementioned cassette file, and intercept any HTTP requests that it recognizes from the original test run and return the responses that corresponded to those requests. This means that the requests will not actually result in HTTP traffic, which confers several benefits including:

1. The ability to work offline

2. Completely deterministic tests

3. Increased test execution speed

If the server you are testing against ever changes its API, all you need to do is delete your existing cassette files, and run your tests again. VCR.py will detect the absence of a cassette file and once again record all HTTP interactions, which will update them to correspond to the new API.

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.