How to Install and Uninstall ghc-cprng-aes Package on openSUSE Leap

Last updated: May 17,2024

1. Install "ghc-cprng-aes" package

In this section, we are going to explain the necessary steps to install ghc-cprng-aes on openSUSE Leap


    
        
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                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                ghc-cprng-aes
            
                    
    
    Copied

2. Uninstall "ghc-cprng-aes" package

This guide let you learn how to uninstall ghc-cprng-aes on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                ghc-cprng-aes
            
                    
    
    Copied

3. Information about the ghc-cprng-aes package on openSUSE Leap

Information for package ghc-cprng-aes:
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Repository : Main Repository
Name : ghc-cprng-aes
Version : 0.6.1-bp155.2.14
Arch : x86_64
Vendor : openSUSE
Installed Size : 50.5 KiB
Installed : No
Status : not installed
Source package : ghc-cprng-aes-0.6.1-bp155.2.14.src
Upstream URL : https://hackage.haskell.org/package/cprng-aes
Summary : Crypto Pseudo Random Number Generator using AES in counter mode
Description :
Simple crypto pseudo-random-number-generator with really good randomness
property.
Using ent, a randomness property maker on one 1Mb sample: Entropy = 7.999837
bits per byte. Optimum compression would reduce the size of this 1048576 byte
file by 0 percent. Chi square distribution for 1048576 samples is 237.02
Arithmetic mean value of data bytes is 127.3422 (127.5 = random) Monte Carlo
value for Pi is 3.143589568 (error 0.06 percent)
Compared to urandom with the same sampling: Entropy = 7.999831 bits per byte.
Optimum compression would reduce the size of this 1048576 byte file by 0
percent. Chi square distribution for 1048576 samples is 246.63 Arithmetic mean
value of data bytes is 127.6347 (127.5 = random). Monte Carlo value for Pi is
3.132465868 (error 0.29 percent).