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This package lets you set a different time for your tests.
autopep8 automatically formats Python code to conform to the PEP 8 style guide. It uses the pycodestyle utility to determine what parts of the code needs to be formatted. autopep8 is capable of fixing most of the formatting issues that can be reported by pycodestyle.
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).
This package provides a rewrite of the builtin doctest module which leverages the Python AST instead of REGEXPs.
This Pytest plugin provides unittest subTest() support and subtests fixture.
The pytest-mockito plugin provides base Mockito fixtures for Pytest. It covers the main entry points of the Mockito mocking framework and makes it easy to undo any monkey patching.
The fixtures are:
when
when2
expect
patch
unstub
spy2
This package provides a Pytest plugin to run pydocstyle.
pytest_mpi is a plugin for pytest providing some useful tools when running tests under MPI, and testing MPI-related code.
Bandit is a tool designed to find common security issues in Python code. To do this Bandit processes each file, builds an AST from it, and runs appropriate plugins against the AST nodes. Once Bandit has finished scanning all the files it generates a report.
Validation library and CLI tool for checking on pyproject.toml files using JSON Schema.
icontract brings design-by-contract to Python with informative violation messages and inheritance. icontract provides two function, require and ensure for preconditions and postconditions respectively. Additionally, it provides a class decorator, invariant, to establish class invariants.
crosshair is an analysis tool for Python that works by repeatedly calling your functions with symbolic inputs. It uses an SMT solver explore viable execution paths and find counterexamples for you.
This package provides a flake8 plugin to help you write better list/set/dict comprehensions.
This is a pytest plugin to help you test projects that use Trio, a friendly library for concurrency and async I/O in Python.
Pytest plugin for failing tests that take too long to run.
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 provides tools verify objects that require more than a simple assert including long strings, large arrays, and complex hash structures and objects, i.e. when you need a more granular look at the test failure.
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 is a Python library for test combinations generator. The generator allows one to create a set of tests using pairwise combinations method, reducing a number of combinations of variables into a lesser set that covers most situations.
pytest-describe is a plugin for python-pytest that allows tests to be written in arbitrary nested describe-blocks, similar to ruby-rspec.
This package provides a virtualenv fixture for the py.test framework.
This package provides Pytest extension which disables all network calls flowing through Python's socket interface
This plugin allows running Pylint with Pytest and have configurable rule types (i.e. Convention, Warn, and Error) fail the build.
This package implements a functionality to check for python builtins being used as variables or parameters.