How to Install and Uninstall python36-nose Package on openSuSE Tumbleweed

Last updated: February 01,2025

Deprecated! Installation of this package may no longer be supported.

1. Install "python36-nose" package

Please follow the steps below to install python36-nose on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python36-nose
            
                    
    
    Copied

2. Uninstall "python36-nose" package

This guide let you learn how to uninstall python36-nose on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python36-nose
            
                    
    
    Copied

3. Information about the python36-nose package on openSuSE Tumbleweed

Information for package python36-nose:
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Repository : openSUSE-Tumbleweed-Oss
Name : python36-nose
Version : 1.3.7-11.14
Arch : noarch
Vendor : openSUSE
Installed Size : 1,3 MiB
Installed : No
Status : not installed
Source package : python-nose-1.3.7-11.14.src
Summary : Nose extends unittest to make testing easier
Description :
Nose extends the test loading and running features of unittest, making
it easier to write, find and run tests.
By default, nose will run tests in files or directories under the current
working directory whose names include "test" or "Test" at a word boundary
(like "test_this" or "functional_test" or "TestClass" but not
"libtest"). Test output is similar to that of unittest, but also includes
captured stdout output from failing tests, for easy print-style debugging.
These features, and many more, are customizable through the use of
plugins. Plugins included with nose provide support for doctest, code
coverage and profiling, flexible attribute-based test selection,
output capture and more.