How to Install and Uninstall python3-pytest Package on openSUSE Leap
Last updated: November 23,2024
1. Install "python3-pytest" package
This tutorial shows how to install python3-pytest on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-pytest
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2. Uninstall "python3-pytest" package
Learn how to uninstall python3-pytest on openSUSE Leap:
$
sudo zypper remove
python3-pytest
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3. Information about the python3-pytest package on openSUSE Leap
Information for package python3-pytest:
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Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : python3-pytest
Version : 5.4.3-150400.5.73
Arch : noarch
Vendor : SUSE LLC
Installed Size : 2.2 MiB
Installed : No
Status : not installed
Source package : python3-pytest-5.4.3-150400.5.73.src
Upstream URL : https://github.com/pytest-dev/pytest
Summary : Python testing tool with autodiscovery and detailed asserts
Description :
pytest is a cross-project Python testing tool. It provides:
* auto-discovery of test modules and functions,
* detailed info on failing assert statements (no need to remember
self.assert* names),
* modular fixtures for managing small or parametrized long-lived test resources.
* multi-paradigm support: you can use py.test to run test suites based on
unittest (or trial), nose,
* single-source compatibility to Python2.4 all the way up to Python3.3,
PyPy-1.9 and Jython-2.5.1, and
* many external plugins.
---------------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : python3-pytest
Version : 5.4.3-150400.5.73
Arch : noarch
Vendor : SUSE LLC
Installed Size : 2.2 MiB
Installed : No
Status : not installed
Source package : python3-pytest-5.4.3-150400.5.73.src
Upstream URL : https://github.com/pytest-dev/pytest
Summary : Python testing tool with autodiscovery and detailed asserts
Description :
pytest is a cross-project Python testing tool. It provides:
* auto-discovery of test modules and functions,
* detailed info on failing assert statements (no need to remember
self.assert* names),
* modular fixtures for managing small or parametrized long-lived test resources.
* multi-paradigm support: you can use py.test to run test suites based on
unittest (or trial), nose,
* single-source compatibility to Python2.4 all the way up to Python3.3,
PyPy-1.9 and Jython-2.5.1, and
* many external plugins.