How to Install and Uninstall perl-Bit-Vector.x86_64 Package on CentOS 8 / RHEL 8
Last updated: April 29,2024
1. Install "perl-Bit-Vector.x86_64" package
This is a short guide on how to install perl-Bit-Vector.x86_64 on CentOS 8 / RHEL 8
$
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
Please follow the step by step instructions below to uninstall perl-Bit-Vector.x86_64 on CentOS 8 / RHEL 8:
$
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 8 / RHEL 8
Last metadata expiration check: 1 day, 6:31:39 ago on Sun May 9 13:03:46 2021.
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.