How to Install and Uninstall perl-Bit-Vector.x86_64 Package on CentOS Stream 9
Last updated: October 07,2024
1. Install "perl-Bit-Vector.x86_64" package
Here is a brief guide to show you how to install perl-Bit-Vector.x86_64 on CentOS Stream 9
$
sudo dnf update
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$
sudo dnf install
perl-Bit-Vector.x86_64
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2. Uninstall "perl-Bit-Vector.x86_64" package
This guide let you learn how to uninstall perl-Bit-Vector.x86_64 on CentOS Stream 9:
$
sudo dnf remove
perl-Bit-Vector.x86_64
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$
sudo dnf autoremove
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3. Information about the perl-Bit-Vector.x86_64 package on CentOS Stream 9
Last metadata expiration check: 1:44:32 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : perl-Bit-Vector
Version : 7.4
Release : 24.el9
Architecture : x86_64
Size : 169 k
Source : perl-Bit-Vector-7.4-24.el9.src.rpm
Repository : appstream
Summary : Efficient bit vector, set of integers and "big int" math library
URL : https://metacpan.org/release/Bit-Vector
License : (GPLv2+ or Artistic) and LGPLv2+
Description : Bit::Vector is an efficient C library which allows you to handle bit
: vectors, sets (of integers), "big integer arithmetic" and boolean
: matrices, all of arbitrary sizes.
:
: The library is efficient (in terms of algorithmic complexity) and
: therefore fast (in terms of execution speed) for instance through the
: widespread use of divide-and-conquer algorithms.
Available Packages
Name : perl-Bit-Vector
Version : 7.4
Release : 24.el9
Architecture : x86_64
Size : 169 k
Source : perl-Bit-Vector-7.4-24.el9.src.rpm
Repository : appstream
Summary : Efficient bit vector, set of integers and "big int" math library
URL : https://metacpan.org/release/Bit-Vector
License : (GPLv2+ or Artistic) and LGPLv2+
Description : Bit::Vector is an efficient C library which allows you to handle bit
: vectors, sets (of integers), "big integer arithmetic" and boolean
: matrices, all of arbitrary sizes.
:
: The library is efficient (in terms of algorithmic complexity) and
: therefore fast (in terms of execution speed) for instance through the
: widespread use of divide-and-conquer algorithms.