How to Install and Uninstall libarrayfire-doc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 03,2024

1. Install "libarrayfire-doc" package

In this section, we are going to explain the necessary steps to install libarrayfire-doc on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libarrayfire-doc
            
                    
    
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2. Uninstall "libarrayfire-doc" package

Please follow the instructions below to uninstall libarrayfire-doc on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libarrayfire-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libarrayfire-doc package on Ubuntu 20.10 (Groovy Gorilla)

Package: libarrayfire-doc
Architecture: all
Version: 3.3.2+dfsg1-4ubuntu4
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: arrayfire
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 55057
Depends: libjs-mathjax
Filename: pool/universe/a/arrayfire/libarrayfire-doc_3.3.2+dfsg1-4ubuntu4_all.deb
Size: 29816260
MD5sum: 7202ed97034ec5229992e6234904aada
SHA1: f6c3d880d5f6a5dca8f8bd0bbd5d5845a97dd236
SHA256: 613d9a337b56ab09858f0efb3575915bf12833b0cd894100643a108ade4f8349
SHA512: 11e82b859d6a61002e03e5682beb22be53d85173e7af7fa123fb24b6ee2d9bab9e6c0a41048672aaf1b971aa7877616a9c504185ce436caa40d38d13316ad763
Homepage: http://arrayfire.com/
Description-en: Common documentation and examples for ArrayFire
ArrayFire is a high performance software library for parallel computing
with an easy-to-use API. Its array based function set makes parallel
programming simple.
.
ArrayFire's multiple backends (CUDA, OpenCL and native CPU) make it
platform independent and highly portable.
.
A few lines of code in ArrayFire can replace dozens of lines of parallel
computing code, saving you valuable time and lowering development costs.
.
This package provides the documentation and example source code for the
ArrayFire library.
Description-md5: 819252ade5dc0fb2d4f9964b7c4dea2c