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 the stestr command, a parallel Python test runner built around subunit. It is designed to execute unittest test suites using multiple processes to split up execution of a test suite. It will also store a history of all test runs to help in debugging failures and optimizing the scheduler to improve speed.

This package can be used for different things:

1. golden master/approval/snapshot testing. The idea is that you have a function with a currently unknown result and you want to write a tests, which ensures that the result does not change during refactoring.

2. Compare things which are complex like lists with lot of numbers or complex data structures.

3. Things which might change during the development like error messages.

inline-snapshot automates the process of recording, storing and updating the value you want to compare with. The value is converted with repr() and stored in the source file as argument of the snapshot() function.

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.

expecttest is a Python module for expect tests, where the initial expected value of a test can be automatically set by running the test itself.

This plug-in auto-selects and reruns tests impacted by recent changes.

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 provides a extension for flake8 which uses pydocstyle to check docstrings.

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 is a py.test plugin to facilitate the generation and comparison of data arrays produced during tests, in particular in cases where the arrays are too large to conveniently hard-code them in the tests.

This package provides a shim Pytest plugin to enable a Celery marker.

This package provides a plugin to test Python click interfaces with pytest.

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

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.

Pylama is a code audit tool for Python and JavaScript to check for style, syntax and other code health metrics. It is essentially a convenient wrapper above tools such as Pyflakes, pydocstyle, pycodestyle and McCabe, among others.

This package provides a pytest plugin for testing console scripts.

The pyux utility detects API changes in Python libraries.

slotscheck is a tool to validate Python class __slots__.

This project provides Python bindings for interfacing with the Zstandard compression library. A C extension and CFFI interface are provided.

This package provides utilities to handle AR files in Python.

This module provides an xopen function that works like Python's built-in open function, but can also deal with compressed files. Supported compression formats are gzip, bzip2 and, xz, and are automatically recognized by their file extensions. The focus is on being as efficient as possible on all supported Python versions.

This package aims to provide faster zlib and gzip compatible compression and decompression by implementing Python bindings for the ISA-L library.

In data compression, BCJ, short for Branch-Call-Jump, refers to a technique that improves the compression of machine code of executable binaries by replacing relative branch addresses with absolute ones. This allows a LZMA compressor to identify duplicate targets and archive higher compression rate. BCJ is used in the 7-zip compression utility as the default filter for executable binaries.

pybcj provides Python bindings to a BCJ implementation in C.

Blosc is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() system call.

Blosc works well for compressing numerical arrays that contains data with relatively low entropy, like sparse data, time series, grids with regular-spaced values, etc.

This Python package wraps the Blosc library.