How to Install and Uninstall python311-pytest-xdist Package on openSuSE Tumbleweed

Last updated: October 05,2024

1. Install "python311-pytest-xdist" package

Please follow the steps below to install python311-pytest-xdist on openSuSE Tumbleweed

$ sudo zypper refresh $ sudo zypper install python311-pytest-xdist

2. Uninstall "python311-pytest-xdist" package

Please follow the steps below to uninstall python311-pytest-xdist on openSuSE Tumbleweed:

$ sudo zypper remove python311-pytest-xdist

3. Information about the python311-pytest-xdist package on openSuSE Tumbleweed

Information for package python311-pytest-xdist:
-----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-pytest-xdist
Version : 3.5.0-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 437.4 KiB
Installed : No
Status : not installed
Source package : python-pytest-xdist-3.5.0-1.4.src
Upstream URL : https://github.com/pytest-dev/pytest-xdist
Summary : Distributed testing and loop-on-failing for py.test
Description :
The `pytest-xdist`_ plugin extends py.test with some unique
test execution modes:
* test run parallelization_: if you have multiple CPUs or hosts you can use
those for a combined test run. This allows to speed up
development or to use special resources of `remote machines`_.
* ``--boxed``: (not available on Windows) run each test in a boxed_
subprocess to survive ``SEGFAULTS`` or otherwise dying processes
* ``--looponfail``: run your tests repeatedly in a subprocess. After each run
py.test waits until a file in your project changes and then re-runs
the previously failing tests. This is repeated until all tests pass
after which again a full run is performed.
* `Multi-Platform`_ coverage: you can specify different Python interpreters
or different platforms and run tests in parallel on all of them.
Before running tests remotely, ``py.test`` efficiently "rsyncs" your
program source code to the remote place. All test results
are reported back and displayed to your local terminal.
You may specify different Python versions and interpreters.

5. The same packages on other Linux Distributions