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

Last updated: November 21,2024

1. Install "dieharder" package

This tutorial shows how to install dieharder on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the guidance below to uninstall dieharder on Ubuntu 20.10 (Groovy Gorilla):


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

Package: dieharder
Architecture: amd64
Version: 3.31.1.2-1
Priority: optional
Section: universe/devel
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 772
Depends: libc6 (>= 2.29), libdieharder3, libgsl25 (>= 2.6)
Filename: pool/universe/d/dieharder/dieharder_3.31.1.2-1_amd64.deb
Size: 164828
MD5sum: 7b856ccc98e854c6c67e4e57bfd0c280
SHA1: 063c02c3953d952760e7b2c55eb05e0ec2ccd32b
SHA256: 83d20491ddb57b60bfe29b5c8ff2878edcd18346c0595f48cd17ef0290628272
SHA512: 156a26024345a49da30d833fd7368abe757ceb2de05aa58cf3557c71b192d497ad1ee38ddb88ec3938ea48145826f8ec9968e73c32286a4e8bf7a34d7c1a7bcf
Homepage: http://webhome.phy.duke.edu/~rgb/General/dieharder.php
Description-en: Random-number generator test front-end
dieharder is a fairly involved random number/uniform deviate generator
tester. It can either test any of its many prebuilt and linked
generators (basically all of those in the GNU Scientific Library plus
any others I've been able to find) or a potentially random dataset in a
file. With file input, it can test either N-bit bitstrings (with N user
specifiable) or (double precision) floating point numbers in the range
[0.0,1.0) (uniform deviates). It is thus suitable for use in testing
both software RNG's and hardware RNG's.
.
This package provides the command-line frontend.
Description-md5: 67db5e32329d09541c3d1ea8b4ab838d