How to Install and Uninstall pcg-cpp-devel.x86_64 Package on Red Hat Enterprise Linux 8 (RHEL 8)

Last updated: November 28,2024

1. Install "pcg-cpp-devel.x86_64" package

This is a short guide on how to install pcg-cpp-devel.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8)

$ sudo dnf update $ sudo dnf install pcg-cpp-devel.x86_64

2. Uninstall "pcg-cpp-devel.x86_64" package

Please follow the guidelines below to uninstall pcg-cpp-devel.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8):

$ sudo dnf remove pcg-cpp-devel.x86_64 $ sudo dnf autoremove

3. Information about the pcg-cpp-devel.x86_64 package on Red Hat Enterprise Linux 8 (RHEL 8)

Last metadata expiration check: 1:16:05 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : pcg-cpp-devel
Version : 0.98.1
Release : 2.20220420git428802d.el8
Architecture : x86_64
Size : 35 k
Source : pcg-cpp-0.98.1-2.20220420git428802d.el8.src.rpm
Repository : epel
Summary : PCG Random Number Generation, C++ Edition
URL : https://github.com/imneme/pcg-cpp
License : MIT or ASL 2.0
Description : This code provides an implementation of the PCG family of random number
: generators, which are fast, statistically excellent, and offer a number of
: useful features.
:
: Full details can be found at the PCG-Random website
: (http://www.pcg-random.org/). This version of the code provides many family
: members – if you just want one simple generator, you may prefer the minimal C
: version of the library.
:
: There are two kinds of generator, normal generators and extended generators.
: Extended generators provide k dimensional equidistribution and can perform
: party tricks, but generally speaking most people only need the normal
: generators.
:
: There are two ways to access the generators, using a convenience typedef or by
: using the underlying templates directly (similar to C++11’s std::mt19937
: typedef vs its std::mersenne_twister_engine template). For most users, the
: convenience typedef is what you want, and probably you’re fine with pcg32 for
: 32-bit numbers. If you want 64-bit numbers, either use pcg64 (or, if you’re on
: a 32-bit system, making 64 bits from two calls to pcg32_k2 may be faster).