How to Install and Uninstall python3-pytest-xdist.noarch Package on Rocky Linux 8

Last updated: November 30,2024

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

Please follow the instructions below to install python3-pytest-xdist.noarch on Rocky Linux 8


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

Please follow the step by step instructions below to uninstall python3-pytest-xdist.noarch on Rocky Linux 8:


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

3. Information about the python3-pytest-xdist.noarch package on Rocky Linux 8

Last metadata expiration check: 0:01:48 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : python3-pytest-xdist
Epoch : 1
Version : 1.24.1
Release : 1.el8
Architecture : noarch
Size : 71 k
Source : python-pytest-xdist-1.24.1-1.el8.src.rpm
Repository : epel
Summary : py.test plugin for distributed testing and loop-on-failing modes
URL : https://github.com/pytest-dev/pytest-xdist
License : MIT
Description : The pytest-xdist plugin extends py.test with some unique test execution modes:
: * test run parallelization: if you have multiple CPUs or hosts you can use
: those for a combined test run. This allows to speed up development or to use
: special resources of remote machines.
: * --boxed: run each test in a boxed subprocess to survive SEGFAULTS or
: otherwise dying processes
: * --looponfail: run your tests repeatedly in a subprocess. After each run
: py.test waits until a file in your project changes and then re-runs the
: previously failing tests. This is repeated until all tests pass after which
: again a full run is performed.
: * Multi-Platform coverage: you can specify different Python interpreters or
: different platforms and run tests in parallel on all of them.