How to Install and Uninstall python2-pytest4 Package on openSUSE Leap
Last updated: November 07,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python2-pytest4" package
Learn how to install python2-pytest4 on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python2-pytest4
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2. Uninstall "python2-pytest4" package
Please follow the steps below to uninstall python2-pytest4 on openSUSE Leap:
$
sudo zypper remove
python2-pytest4
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3. Information about the python2-pytest4 package on openSUSE Leap
Information for package python2-pytest4:
----------------------------------------
Repository : Main Repository
Name : python2-pytest4
Version : 4.6.9-bp153.1.19
Arch : noarch
Vendor : openSUSE
Installed Size : 2,3 MiB
Installed : No
Status : not installed
Source package : python-pytest4-4.6.9-bp153.1.19.src
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 : Main Repository
Name : python2-pytest4
Version : 4.6.9-bp153.1.19
Arch : noarch
Vendor : openSUSE
Installed Size : 2,3 MiB
Installed : No
Status : not installed
Source package : python-pytest4-4.6.9-bp153.1.19.src
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.