How to Install and Uninstall libghc-mwc-random-prof Package on Kali Linux

Last updated: May 15,2024

1. Install "libghc-mwc-random-prof" package

This tutorial shows how to install libghc-mwc-random-prof on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libghc-mwc-random-prof
            
                    
    
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2. Uninstall "libghc-mwc-random-prof" package

Please follow the step by step instructions below to uninstall libghc-mwc-random-prof on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libghc-mwc-random-prof
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libghc-mwc-random-prof package on Kali Linux

Package: libghc-mwc-random-prof
Source: haskell-mwc-random (0.15.0.2-2)
Version: 0.15.0.2-2+b2
Installed-Size: 2948
Maintainer: Debian Haskell Group
Architecture: amd64
Provides: libghc-mwc-random-prof-0.15.0.2-4e96f
Depends: libghc-base-prof-4.17.2.0-68dfe, libghc-math-functions-prof-0.3.4.2-08752, libghc-mwc-random-dev (= 0.15.0.2-2+b2), libghc-primitive-prof-0.8.0.0-a075c, libghc-random-prof-1.2.1.1-68746, libghc-time-prof-1.12.2-491a0, libghc-vector-prof-0.13.1.0-1ffee
Size: 232548
SHA256: bcaa88043f683cb99186f72362fed6e75d33feaf97c3320eae30bc5b44d8d33d
SHA1: e124cc5d51d2b5a2bf8f3eba20210b570d986842
MD5sum: f93116377db1de51750f30a285684840
Description: Fast, high quality pseudo random number generation; profiling libraries
This package contains code for generating high quality random numbers that
follow either a uniform or normal distribution. The generated numbers are
suitable for use in statistical applications.
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The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222)
multiply-with-carry generator, which has a period of 2^8222 and fares well in
tests of randomness. It is also extremely fast, between 2 and 3 times faster
than the Mersenne Twister.
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Compared to the mersenne-random package, this package has a more convenient
API, is faster, and supports more statistical distributions.
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This package provides a library for the Haskell programming language, compiled
for profiling. See http://www.haskell.org/ for more information on Haskell.
Description-md5:
Homepage: https://github.com/bos/mwc-random
Section: haskell
Priority: optional
Filename: pool/main/h/haskell-mwc-random/libghc-mwc-random-prof_0.15.0.2-2+b2_amd64.deb