How to Install and Uninstall perl-Bit-Vector.x86_64 Package on Fedora 35
Last updated: November 24,2024
1. Install "perl-Bit-Vector.x86_64" package
In this section, we are going to explain the necessary steps to install perl-Bit-Vector.x86_64 on Fedora 35
$
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 Fedora 35:
$
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 Fedora 35
Last metadata expiration check: 5:26:14 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : perl-Bit-Vector
Version : 7.4
Release : 24.fc35
Architecture : x86_64
Size : 165 k
Source : perl-Bit-Vector-7.4-24.fc35.src.rpm
Repository : fedora
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.fc35
Architecture : x86_64
Size : 165 k
Source : perl-Bit-Vector-7.4-24.fc35.src.rpm
Repository : fedora
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.