How to Install and Uninstall python3-acora.x86_64 Package on Fedora 38
Last updated: March 01,2025
1. Install "python3-acora.x86_64" package
Here is a brief guide to show you how to install python3-acora.x86_64 on Fedora 38
$
sudo dnf update
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$
sudo dnf install
python3-acora.x86_64
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2. Uninstall "python3-acora.x86_64" package
Please follow the step by step instructions below to uninstall python3-acora.x86_64 on Fedora 38:
$
sudo dnf remove
python3-acora.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-acora.x86_64 package on Fedora 38
Last metadata expiration check: 4:25:41 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : python3-acora
Version : 2.2
Release : 14.fc38
Architecture : x86_64
Size : 142 k
Source : python-acora-2.2-14.fc38.src.rpm
Repository : fedora
Summary : A Python multi-keyword text search engine
URL : https://github.com/scoder/acora
License : BSD
Description : Acora is 'fgrep' for Python, a fast multi-keyword text search engine.
:
: Based on a set of keywords and the Aho-Corasick algorithm, it generates a
: search automaton and runs it over string input, either unicode or bytes.
:
: Acora comes with both a pure Python implementation and a fast binary module
: written in Cython. However, note that the current construction algorithm is
: not suitable for really large sets of keywords (i.e. more than a couple of
: thousand).
Available Packages
Name : python3-acora
Version : 2.2
Release : 14.fc38
Architecture : x86_64
Size : 142 k
Source : python-acora-2.2-14.fc38.src.rpm
Repository : fedora
Summary : A Python multi-keyword text search engine
URL : https://github.com/scoder/acora
License : BSD
Description : Acora is 'fgrep' for Python, a fast multi-keyword text search engine.
:
: Based on a set of keywords and the Aho-Corasick algorithm, it generates a
: search automaton and runs it over string input, either unicode or bytes.
:
: Acora comes with both a pure Python implementation and a fast binary module
: written in Cython. However, note that the current construction algorithm is
: not suitable for really large sets of keywords (i.e. more than a couple of
: thousand).