How to Install and Uninstall golang-github-yourbasic-graph-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 07,2024

1. Install "golang-github-yourbasic-graph-dev" package

Here is a brief guide to show you how to install golang-github-yourbasic-graph-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                golang-github-yourbasic-graph-dev
            
                    
    
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2. Uninstall "golang-github-yourbasic-graph-dev" package

Here is a brief guide to show you how to uninstall golang-github-yourbasic-graph-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                golang-github-yourbasic-graph-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the golang-github-yourbasic-graph-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: golang-github-yourbasic-graph-dev
Architecture: all
Version: 1.0.5-2
Priority: optional
Section: universe/devel
Source: golang-github-yourbasic-graph
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Go Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 206
Filename: pool/universe/g/golang-github-yourbasic-graph/golang-github-yourbasic-graph-dev_1.0.5-2_all.deb
Size: 32172
MD5sum: cbb2249f9b148256f4baf2b404ca50f1
SHA1: 74552745ef835957a6064bcb880ca4c2e98fefe1
SHA256: f5418ef001b0cea430d64479d9a7922e849e3ed5368ad9aeca7ab352be538e6a
SHA512: 0891e71e700e2bc6fc11360bfd4ea379c5918c6d2eb20d5c15b8236b493dc875caa00179464bd13599872b91bb2ee94864c2a2a11061c7c13b7741450d8d314d
Homepage: https://github.com/yourbasic/graph
Description-en: graph algorithms and data structures
This package contains a Golang library of basic graph algorithms
and topological ordering.
.
This library offers efficient and well-tested algorithms for
- breadth-first and depth-first search,
- topological ordering,
- strongly and weakly connected components,
- bipartion,
- shortest paths,
- maximum flow,
- Euler walks,
- and minimum spanning trees.
The algorithms can be applied to any graph data structure implementing
the two Iterator methods: Order, which returns the number of vertices,
and Visit, which iterates over the neighbors of a vertex.
Description-md5: 4d7a939112481fdf45d1defe262c8472