How to Install and Uninstall practrand.x86_64 Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: November 26,2024
1. Install "practrand.x86_64" package
Please follow the instructions below to install practrand.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
Copied
$
sudo dnf install
practrand.x86_64
Copied
2. Uninstall "practrand.x86_64" package
Please follow the steps below to uninstall practrand.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8):
$
sudo dnf remove
practrand.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the practrand.x86_64 package on Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 1:13:09 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : practrand
Version : 0.951
Release : 2.el8
Architecture : x86_64
Size : 877 k
Source : practrand-0.951-2.el8.src.rpm
Repository : epel
Summary : Software package for the Randon number generation & testing
URL : https://sourceforge.net/projects/pracrand/
License : CC0
Description : Software package for the Random number generation & testing.
: A suite of statistical tests for fast PRNGs. Multithreaded for speed,
: command-line tools for automation, no upper limit on data size.
: A variety of C++ pseudo-random number generators with well-designed
: interfaces aimed at practical uses, not just research.
:
: Features:
: * A convenient & powerful interface to RNG algorithms
: * A variety of fast high quality RNG algorithms
: * Fast & effective statistical tests for RNGs
Available Packages
Name : practrand
Version : 0.951
Release : 2.el8
Architecture : x86_64
Size : 877 k
Source : practrand-0.951-2.el8.src.rpm
Repository : epel
Summary : Software package for the Randon number generation & testing
URL : https://sourceforge.net/projects/pracrand/
License : CC0
Description : Software package for the Random number generation & testing.
: A suite of statistical tests for fast PRNGs. Multithreaded for speed,
: command-line tools for automation, no upper limit on data size.
: A variety of C++ pseudo-random number generators with well-designed
: interfaces aimed at practical uses, not just research.
:
: Features:
: * A convenient & powerful interface to RNG algorithms
: * A variety of fast high quality RNG algorithms
: * Fast & effective statistical tests for RNGs