How to Install and Uninstall ghc-mersenne-random-pure64 Package on openSUSE Leap

Last updated: November 08,2024

1. Install "ghc-mersenne-random-pure64" package

This guide let you learn how to install ghc-mersenne-random-pure64 on openSUSE Leap


    
        
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                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                ghc-mersenne-random-pure64
            
                    
    
    Copied

2. Uninstall "ghc-mersenne-random-pure64" package

Please follow the step by step instructions below to uninstall ghc-mersenne-random-pure64 on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                ghc-mersenne-random-pure64
            
                    
    
    Copied

3. Information about the ghc-mersenne-random-pure64 package on openSUSE Leap

Information for package ghc-mersenne-random-pure64:
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Repository : Main Repository
Name : ghc-mersenne-random-pure64
Version : 0.2.2.0-bp155.2.15
Arch : x86_64
Vendor : openSUSE
Installed Size : 61.7 KiB
Installed : No
Status : not installed
Source package : ghc-mersenne-random-pure64-0.2.2.0-bp155.2.15.src
Upstream URL : https://hackage.haskell.org/package/mersenne-random-pure64
Summary : Generate high quality pseudorandom numbers purely using a Mersenne Twister
Description :
The Mersenne twister is a pseudorandom number generator developed by Makoto
Matsumoto and Takuji Nishimura that is based on a matrix linear recurrence over
a finite binary field. It provides for fast generation of very high quality
pseudorandom numbers. The source for the C code can be found here:

This library provides a purely functional binding to the 64 bit classic
mersenne twister, along with instances of RandomGen, so the generator can be
used with System.Random. The generator should typically be a few times faster
than the default StdGen (but a tad slower than the impure 'mersenne-random'
library based on SIMD instructions and destructive state updates.