Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
This plugin installs a mocker fixture which is a thin-wrapper around the patching API provided by the mock package, but with the benefit of not having to worry about undoing patches at the end of a test. The mocker fixture has the same API as mock.patch, supporting the same arguments.
Flaky is a plugin for nose or py.test that automatically reruns flaky tests.
Ideally, tests reliably pass or fail, but sometimes test fixtures must rely on components that aren't 100% reliable. With flaky, instead of removing those tests or marking them to @skip, they can be automatically retried.
doctest is a single-header testing framework for C++11 and later. It has been designed to be fast, light and unintrusive.
Mutest aims to be a small unit testing library for C projects, with an API heavily modelled on high level Behavior-Driver Development frameworks like Jasmine or Mocha.
CppUnit is the C++ port of the famous JUnit framework for unit testing. Test output is in XML for automatic testing and GUI based for supervised tests.
Google Test features an XUnit test framework, automated test discovery, death tests, assertions, parameterized tests and XML test report generation.
pytest-perf makes it easy to compare works by creating two installs, the control and the experiment, and measuring the performance of some Python code against each. Under the hood, it uses the pip-run command to install from the upstream main branch (e.g. https://github.com/jaraco/pytest-perf) for the control and from . for the experiment. It then runs each of the experiments against each of the environments.
Trompeloeil is a thread-safe header-only mocking framework for C++11/14.
Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.
Check is a unit testing framework for C. It features a simple interface for defining unit tests, putting little in the way of the developer. Tests are run in a separate address space, so Check can catch both assertion failures and code errors that cause segmentation faults or other signals. The output from unit tests can be used within source code editors and IDEs.
Nose2 is the next generation of nicer testing for Python, based on the plugins branch of unittest2. Nose2 aims to improve on nose by providing a better plugin api, being easier for users to configure, and simplifying internal interfaces and processes.
MiniMock is a simple library for building mock objects with doctest.
Parameterized is a Python library that aims to fix parameterized testing for every Python test framework. It supports nose, py.test, and unittest.
Rapidcheck is a property based testing framework for C++. It works by generating random data to try and find a case breaks your given pre-condition.
Google Test features an XUnit test framework, automated test discovery, death tests, assertions, parameterized tests and XML test report generation.
This package provides a next-generation test runner for Rust.
actionlint is a static checker for GitHub Actions workflow files. Features include:
Syntax check for workflow files to check unexpected or missing keys following workflow syntax
Strong type check for
${{ }}expressions to catch several semantic errors like access to not existing property, type mismatches, ...Actions usage check to check that inputs at
with:and outputs insteps.{id}.outputsare correctReusable workflow check to check inputs/outputs/secrets of reusable workflows and workflow calls
shellcheck and pyflakes integrations for scripts at
run:Security checks; script injection by untrusted inputs, hard-coded credentials
Other several useful checks; glob syntax validation, dependencies check for
needs:, runner label validation, cron syntax validation, ...
Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.
checkmake is an experimental tool for linting and checking Makefiles. It allows for a set of configurable rules being run against a Makefile or a set of *.mk files.
tidyall makes a lot of code tidiers and validators available from a single unified interface. You can run tidyall on a single file or on an entire project hierarchy, and configure which tidiers/validators are applied to which files. tidyall will back up files beforehand, and for efficiency will only consider files that have changed since they were last processed.
Note that if you see some missing tidier or validator modules error, you can let tidyall load them after install them. For example, one can run guix shell perl-perl-tidy perl in advance to load Perl::Tidy.
This package provides a pytest plugin for writing tests for mypy plugins.
Subunit is a streaming protocol for test results. Subunit comes with command line filters to process a subunit stream and language bindings for Python, C, C++ and shell. Bindings are easy to write for other languages.
Catch2 stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C.
The pytest-xdist plugin extends py.test with some unique test execution modes: parallelization, running tests in boxed subprocesses, the ability to run tests repeatedly when failed, and the ability to run tests on multiple Python interpreters or platforms. It uses rsync to copy the existing program code to a remote location, executes there, and then syncs the result back.