How to Install and Uninstall libghc-mwc-random-doc Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 20,2024

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

In this section, we are going to explain the necessary steps to install libghc-mwc-random-doc on Ubuntu 21.10 (Impish Indri)


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

Please follow the guidelines below to uninstall libghc-mwc-random-doc on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libghc-mwc-random-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libghc-mwc-random-doc package on Ubuntu 21.10 (Impish Indri)

Package: libghc-mwc-random-doc
Architecture: all
Version: 0.14.0.0-2build4
Priority: extra
Section: universe/doc
Source: haskell-mwc-random
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Haskell Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 969
Depends: haddock-interface-35
Recommends: libghc-primitive-doc, libghc-vector-doc, libjs-mathjax
Filename: pool/universe/h/haskell-mwc-random/libghc-mwc-random-doc_0.14.0.0-2build4_all.deb
Size: 75708
MD5sum: 9d3fd6a69d3dd70e212fcd7d8a109a5f
SHA1: 4fb5ddb8d6ca22a337de3d25cfec62190c8e47b0
SHA256: 987d86fab2f38f412c5e77c6c3bf101a724863a74721b59cdd4a9b1095f9b1d1
SHA512: a16c66627980f17a3848186cb19fbce37ae49ecd2b841fea39549e5c2e83d43915e243f5b54607b93a38be526614bdb40c246d66375d11496c22032d0f8dfd8b
Homepage: https://github.com/bos/mwc-random
Description-en: Fast, high quality pseudo random number generation; documentation
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.
.
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.
.
Compared to the mersenne-random package, this package has a more convenient
API, is faster, and supports more statistical distributions.
.
This package provides the documentation for a library for the Haskell
programming language.
See http://www.haskell.org/ for more information on Haskell.
Description-md5: 56f9114595dfea8ff579ecad066f4f72