How to Install and Uninstall libdieharder3 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 05,2024

1. Install "libdieharder3" package

Here is a brief guide to show you how to install libdieharder3 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libdieharder3
            
                    
    
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2. Uninstall "libdieharder3" package

Please follow the steps below to uninstall libdieharder3 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libdieharder3
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libdieharder3 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libdieharder3
Architecture: amd64
Version: 3.31.1.2-1
Priority: optional
Section: universe/devel
Source: dieharder
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 459
Depends: libc6 (>= 2.29), libgsl25 (>= 2.6)
Filename: pool/universe/d/dieharder/libdieharder3_3.31.1.2-1_amd64.deb
Size: 120020
MD5sum: 57ff5f76aa5355740be76a7b60226c2d
SHA1: 931a7e4d811df1fb5e458c781b925de2712df97a
SHA256: a665d96585f3203ff378a4c10dbee16b06421d36813fa8284b9307eec2be8620
SHA512: 76ffc04d021c0f22bdaf2a18fee89d7725de8b8c5ab5110ac8608f0342a133482e40d5781eea683a0fc3527d9fd3e3f398483590cc0407a8bf0341ca1ba1815f
Homepage: http://webhome.phy.duke.edu/~rgb/General/dieharder.php
Description-en: Random-number generator test library
libdieharder is the core library of dieharder and friends, designed to
be "the last suite of random number testers you'll ever wear". It can
test any of its many prebuilt and library linked generators (basically
all of those in the GNU Scientific Library plus a number of others from
various sources) or a potentially random dataset in either an
ascii-formatted or raw (presumed 32 bit uint) binary file. It is fairly
straightforward to wrap new software generators for testing, or to add
hardware generators that have a software interface for testing, and the
file input method permits pretty much any software or hardware RNG to be
tested using libdieharder calls.
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libdieharder has as a design goal the full encapsulation in an
extensible shell of basically all the random number tests I have been
able to find -- George Marsaglia's "diehard" battery of tests, STS
(v1.6) from NIST FIPS, Knuth's tests, and more. Check in the man
page(s) or /usr/share/dieharder*/dieharder.pdf for documentation.
.
This package provides the shared library.
Description-md5: 80240baf718fcd133651c3e37d032680