How to Install and Uninstall python3-pytest-arraydiff.noarch Package on Fedora 39

Last updated: November 25,2024

1. Install "python3-pytest-arraydiff.noarch" package

In this section, we are going to explain the necessary steps to install python3-pytest-arraydiff.noarch on Fedora 39


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                python3-pytest-arraydiff.noarch
            
                    
    
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2. Uninstall "python3-pytest-arraydiff.noarch" package

This guide let you learn how to uninstall python3-pytest-arraydiff.noarch on Fedora 39:


    
        
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                sudo dnf remove
            
                        
                python3-pytest-arraydiff.noarch
            
                    
    
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                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-pytest-arraydiff.noarch package on Fedora 39

Last metadata expiration check: 2:10:31 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : python3-pytest-arraydiff
Version : 0.5.0
Release : 4.fc39
Architecture : noarch
Size : 24 k
Source : python-pytest-arraydiff-0.5.0-4.fc39.src.rpm
Repository : fedora
Summary : The py.test arraydiff plugin
URL : https://pypi.python.org/pypi/pytest-arraydiff
License : BSD
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 (baed on Numpy loadtxt output)
: * The FITS format (requires astropy). With this format, tests can return
: either a Numpy array for a FITS HDU object.