How to Install and Uninstall libgraph-perl Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 16,2024

1. Install "libgraph-perl" package

This guide let you learn how to install libgraph-perl on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libgraph-perl
            
                    
    
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2. Uninstall "libgraph-perl" package

This guide covers the steps necessary to uninstall libgraph-perl on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libgraph-perl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libgraph-perl package on Ubuntu 21.04 (Hirsute Hippo)

Package: libgraph-perl
Architecture: all
Version: 1:0.9716-1
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 286
Depends: perl:any, libheap-perl, libscalar-list-utils-perl (>= 1:1.45), libset-object-perl (>= 1.40)
Filename: pool/universe/libg/libgraph-perl/libgraph-perl_0.9716-1_all.deb
Size: 96608
MD5sum: 7113fec9d6117baecd17cc69e1d975b5
SHA1: 9f8022475255eac6912fb002932a0a68ca64bfff
SHA256: 2a183bef1e03f76b9564516025158e125f67061b988972ec4aaeeced489ce786
SHA512: a089a9f7e92c7586a8e517ef02201942dc9c5054eb94a43bff48f371d2897f1520d8b9234dabc90ac8c3638de3143bb30fff1f9c6247edbad8bf842ae5fcdf53
Homepage: https://metacpan.org/release/Graph
Description-en: Perl module for graph data structures and algorithms
This module contains the Graph module for Perl, a framework for
creating abstract data structures called graphs and hypergraphs.
(It is not for drawing any sort of graphics; for that, see the
GD:: or Graphics:: set of modules.) It also contains implementations
of several well-known algorithms that operate on graphs, such as
finding transitive closures, strongly connected components
(SCCs) and articulation points.
Description-md5: 8ce81fe67c9b86ba007d1bab269692ec