How to Install and Uninstall python310-pytest-arraydiff Package on openSuSE Tumbleweed

Last updated: September 28,2024

1. Install "python310-pytest-arraydiff" package

This tutorial shows how to install python310-pytest-arraydiff on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python310-pytest-arraydiff
            
                    
    
    Copied

2. Uninstall "python310-pytest-arraydiff" package

In this section, we are going to explain the necessary steps to uninstall python310-pytest-arraydiff on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python310-pytest-arraydiff
            
                    
    
    Copied

3. Information about the python310-pytest-arraydiff package on openSuSE Tumbleweed

Information for package python310-pytest-arraydiff:
---------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-pytest-arraydiff
Version : 0.6.1-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 44.3 KiB
Installed : No
Status : not installed
Source package : python-pytest-arraydiff-0.6.1-1.4.src
Upstream URL : https://github.com/astropy/pytest-arraydiff
Summary : Pytest plugin to help with comparing array output from tests
Description :
This is a py.test plugin to facilitate the generation and comparison of
data arrays produced during tests.
The basic idea is that you can write a test that generates a Numpy array (or
other related objects depending on the format). You can then either run the
tests in a mode to generate reference files from the arrays, or you can run
the tests in comparison mode, which will compare the results of the tests to
the reference ones within some tolerance.
At the moment, the supported file formats for the reference files are:
- A plain text-based format (baSed on Numpy loadtxt output)
- The FITS format (requires astropy). With this format, tests
can return either a Numpy array for a FITS HDU object.