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

Last updated: November 04,2024

1. Install "libghc-chimera-prof" package

Please follow the steps below to install libghc-chimera-prof on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libghc-chimera-prof
            
                    
    
    Copied

2. Uninstall "libghc-chimera-prof" package

This is a short guide on how to uninstall libghc-chimera-prof on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libghc-chimera-prof
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libghc-chimera-prof package on Kali Linux

Package: libghc-chimera-prof
Source: haskell-chimera (0.3.3.0-1)
Version: 0.3.3.0-1+b1
Installed-Size: 906
Maintainer: Debian Haskell Group
Architecture: amd64
Provides: libghc-chimera-prof-0.3.3.0-f8746
Depends: libghc-adjunctions-prof-4.4.2-b48e0, libghc-base-prof-4.17.2.0-68dfe, libghc-chimera-dev (= 0.3.3.0-1+b1), libghc-distributive-prof-0.6.2.1-8a24d, libghc-mtl-prof-2.2.2-6f39a, libghc-primitive-prof-0.8.0.0-a075c, libghc-transformers-prof-0.5.6.2-931c3, libghc-vector-prof-0.13.1.0-1ffee
Size: 106712
SHA256: 9b942a457162ea26760988af6acf141d271dfe816322688fabc8faa45f706eb0
SHA1: e0763a76eaa3c54f35cf7935b04991aa143568c8
MD5sum: 3b39334a3613f40fca5e36ef1bd28d4e
Description: lazy infinite compact streams with cache-friendly O(1) indexing; profiling libraries
There are plenty of memoizing libraries on Hackage, but they
usually fall into two categories:
.
* Store cache as a flat array, enabling us
to obtain cached values in O(1) time, which is nice.
The drawback is that one must specify the size
of the array beforehand,
limiting an interval of inputs,
and actually allocate it at once.
* Store cache as a lazy binary tree.
Thanks to laziness, one can freely use the full range of inputs.
The drawback is that obtaining values from a tree
takes logarithmic time and is unfriendly to CPU cache,
which kinda defeats the purpose.
.
This package intends to tackle both issues,
providing a data type 'Chimera' for
lazy infinite compact streams with cache-friendly O(1) indexing.
.
Additional features include:
.
* memoization of recursive functions and recurrent sequences,
* memoization of functions of several, possibly signed arguments,
* efficient memoization of boolean predicates.
.
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/Bodigrim/chimera#readme
Section: haskell
Priority: optional
Filename: pool/main/h/haskell-chimera/libghc-chimera-prof_0.3.3.0-1+b1_amd64.deb