How to Install and Uninstall python3-patiencediff.x86_64 Package on Fedora 35
Last updated: February 04,2025
1. Install "python3-patiencediff.x86_64" package
This is a short guide on how to install python3-patiencediff.x86_64 on Fedora 35
$
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
Please follow the guidance below to uninstall python3-patiencediff.x86_64 on Fedora 35:
$
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 35
Last metadata expiration check: 2:25:52 ago on Wed Sep 7 14:25:02 2022.
Available Packages
Name : python3-patiencediff
Version : 0.2.2
Release : 3.fc35
Architecture : x86_64
Size : 45 k
Source : python-patiencediff-0.2.2-3.fc35.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 : 3.fc35
Architecture : x86_64
Size : 45 k
Source : python-patiencediff-0.2.2-3.fc35.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.