How to Install and Uninstall perl-Bit-Vector.x86_64 Package on AlmaLinux 8
Last updated: November 29,2024
1. Install "perl-Bit-Vector.x86_64" package
Please follow the guidance below to install perl-Bit-Vector.x86_64 on AlmaLinux 8
$
sudo dnf update
Copied
$
sudo dnf install
perl-Bit-Vector.x86_64
Copied
2. Uninstall "perl-Bit-Vector.x86_64" package
This is a short guide on how to uninstall perl-Bit-Vector.x86_64 on AlmaLinux 8:
$
sudo dnf remove
perl-Bit-Vector.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the perl-Bit-Vector.x86_64 package on AlmaLinux 8
Last metadata expiration check: 1:24:30 ago on Mon Sep 5 03:22:42 2022.
Available Packages
Name : perl-Bit-Vector
Version : 7.4
Release : 11.el8
Architecture : x86_64
Size : 171 k
Source : perl-Bit-Vector-7.4-11.el8.src.rpm
Repository : appstream
Summary : Efficient bit vector, set of integers and "big int" math library
URL : http://search.cpan.org/dist/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 algorithmical 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 : 11.el8
Architecture : x86_64
Size : 171 k
Source : perl-Bit-Vector-7.4-11.el8.src.rpm
Repository : appstream
Summary : Efficient bit vector, set of integers and "big int" math library
URL : http://search.cpan.org/dist/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 algorithmical complexity) and
: therefore fast (in terms of execution speed) for instance through the
: widespread use of divide-and-conquer algorithms.