How to Install and Uninstall python3-patiencediff.x86_64 Package on Fedora 36
Last updated: November 21,2024
1. Install "python3-patiencediff.x86_64" package
Please follow the guidelines below to install python3-patiencediff.x86_64 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
python3-patiencediff.x86_64
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2. Uninstall "python3-patiencediff.x86_64" package
This guide covers the steps necessary to uninstall python3-patiencediff.x86_64 on Fedora 36:
$
sudo dnf remove
python3-patiencediff.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-patiencediff.x86_64 package on Fedora 36
Last metadata expiration check: 2:00:25 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : python3-patiencediff
Version : 0.2.2
Release : 4.fc36
Architecture : x86_64
Size : 45 k
Source : python-patiencediff-0.2.2-4.fc36.src.rpm
Repository : fedora
Summary : Python implementation of the patiencediff algorithm
URL : https://www.breezy-vcs.org/
License : GPLv2+
Description : This package contains the implementation of the patiencediff algorithm, as
: first described by Bram Cohen. Like Python's difflib, this module provides
: both a convenience unified_diff function for the generation of unified diffs of
: text files as well as a SequenceMatcher that can be used on arbitrary
: lists. Patiencediff provides a good balance of performance, nice output for
: humans, and implementation simplicity.
Available Packages
Name : python3-patiencediff
Version : 0.2.2
Release : 4.fc36
Architecture : x86_64
Size : 45 k
Source : python-patiencediff-0.2.2-4.fc36.src.rpm
Repository : fedora
Summary : Python implementation of the patiencediff algorithm
URL : https://www.breezy-vcs.org/
License : GPLv2+
Description : This package contains the implementation of the patiencediff algorithm, as
: first described by Bram Cohen. Like Python's difflib, this module provides
: both a convenience unified_diff function for the generation of unified diffs of
: text files as well as a SequenceMatcher that can be used on arbitrary
: lists. Patiencediff provides a good balance of performance, nice output for
: humans, and implementation simplicity.