How to Install and Uninstall marisa.i686 Package on CentOS 8 / RHEL 8
Last updated: November 20,2024
1. Install "marisa.i686" package
Here is a brief guide to show you how to install marisa.i686 on CentOS 8 / RHEL 8
$
sudo dnf update
Copied
$
sudo dnf install
marisa.i686
Copied
2. Uninstall "marisa.i686" package
Please follow the guidelines below to uninstall marisa.i686 on CentOS 8 / RHEL 8:
$
sudo dnf remove
marisa.i686
Copied
$
sudo dnf autoremove
Copied
3. Information about the marisa.i686 package on CentOS 8 / RHEL 8
Last metadata expiration check: 1 day, 6:04:24 ago on Sun May 9 13:03:46 2021.
Available Packages
Name : marisa
Version : 0.2.4
Release : 36.el8
Architecture : i686
Size : 91 k
Source : marisa-0.2.4-36.el8.src.rpm
Repository : appstream
Summary : Static and spece-efficient trie data structure library
URL : https://code.google.com/p/marisa-trie
License : BSD or LGPLv2+
Description : Matching Algorithm with Recursively Implemented StorAge (MARISA) is a
: static and space-efficient trie data structure. And libmarisa is a C++
: library to provide an implementation of MARISA. Also, the package of
: libmarisa contains a set of command line tools for building and
: operating a MARISA-based dictionary.
:
: A MARISA-based dictionary supports not only lookup but also reverse
: lookup, common prefix search and predictive search.
Available Packages
Name : marisa
Version : 0.2.4
Release : 36.el8
Architecture : i686
Size : 91 k
Source : marisa-0.2.4-36.el8.src.rpm
Repository : appstream
Summary : Static and spece-efficient trie data structure library
URL : https://code.google.com/p/marisa-trie
License : BSD or LGPLv2+
Description : Matching Algorithm with Recursively Implemented StorAge (MARISA) is a
: static and space-efficient trie data structure. And libmarisa is a C++
: library to provide an implementation of MARISA. Also, the package of
: libmarisa contains a set of command line tools for building and
: operating a MARISA-based dictionary.
:
: A MARISA-based dictionary supports not only lookup but also reverse
: lookup, common prefix search and predictive search.