How to Install and Uninstall perl-Math-BigInt-GMP.x86_64 Package on CentOS Stream 9
Last updated: January 10,2025
1. Install "perl-Math-BigInt-GMP.x86_64" package
This guide covers the steps necessary to install perl-Math-BigInt-GMP.x86_64 on CentOS Stream 9
$
sudo dnf update
Copied
$
sudo dnf install
perl-Math-BigInt-GMP.x86_64
Copied
2. Uninstall "perl-Math-BigInt-GMP.x86_64" package
Learn how to uninstall perl-Math-BigInt-GMP.x86_64 on CentOS Stream 9:
$
sudo dnf remove
perl-Math-BigInt-GMP.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the perl-Math-BigInt-GMP.x86_64 package on CentOS Stream 9
Last metadata expiration check: 1:23:55 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : perl-Math-BigInt-GMP
Version : 1.6007
Release : 1.el9
Architecture : x86_64
Size : 35 k
Source : perl-Math-BigInt-GMP-1.6007-1.el9.src.rpm
Repository : epel
Summary : Use the GMP library for Math::BigInt routines
URL : https://metacpan.org/release/Math-BigInt-GMP
License : GPL+ or Artistic
Description : Provides support for big integer calculations by means of the GMP library, as
: a replacement (drop-in) module for Math::BigInt's core, Math::BigInt::Calc.pm.
: Math::BigInt::GMP does not use Math::GMP, but provides its own XS layer to
: access the GMP library. This cuts out another (perl subroutine) layer and
: also reduces the memory footprint by not loading Math::GMP and Carp at all.
Available Packages
Name : perl-Math-BigInt-GMP
Version : 1.6007
Release : 1.el9
Architecture : x86_64
Size : 35 k
Source : perl-Math-BigInt-GMP-1.6007-1.el9.src.rpm
Repository : epel
Summary : Use the GMP library for Math::BigInt routines
URL : https://metacpan.org/release/Math-BigInt-GMP
License : GPL+ or Artistic
Description : Provides support for big integer calculations by means of the GMP library, as
: a replacement (drop-in) module for Math::BigInt's core, Math::BigInt::Calc.pm.
: Math::BigInt::GMP does not use Math::GMP, but provides its own XS layer to
: access the GMP library. This cuts out another (perl subroutine) layer and
: also reduces the memory footprint by not loading Math::GMP and Carp at all.