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

Last updated: December 28,2024

1. Install "golang-github-petar-gollrb-dev" package

In this section, we are going to explain the necessary steps to install golang-github-petar-gollrb-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                golang-github-petar-gollrb-dev
            
                    
    
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2. Uninstall "golang-github-petar-gollrb-dev" package

Please follow the step by step instructions below to uninstall golang-github-petar-gollrb-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                golang-github-petar-gollrb-dev
            
                    
    
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            $
        

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

Package: golang-github-petar-gollrb-dev
Architecture: all
Version: 0.0~git20130427.0.53be0d3+dfsg-4
Priority: extra
Section: universe/devel
Source: golang-github-petar-gollrb
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: QA Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 47
Filename: pool/universe/g/golang-github-petar-gollrb/golang-github-petar-gollrb-dev_0.0~git20130427.0.53be0d3+dfsg-4_all.deb
Size: 11468
MD5sum: 418e99b5549de8c4621d64e52da68d71
SHA1: b507331a1ab7cf9a3ca50d8311b15b7caf67987a
SHA256: 4d3dbdef9d8979cbf71b47c670574a0fe12cf69561f85312c1e72f404e3c8686
SHA512: 0ee98f50a7a4b14bfcfa11c54b789cb5983d594f12018800dad86ea0174cd095e1bbc89a0ea24e1bbf250b2041c6a60dadc7709935c17678f7070fa7a09fc4f6
Homepage: https://github.com/petar/gollrb
Description-en: LLRB implementation of balanced binary search trees for Go
GoLLRB is a Left-Leaning Red-Black (LLRB) implementation of 2-3 balanced
binary search trees in Go the Language.
.
2-3 trees (a type of BBST's), as well as the runtime-similar 2-3-4 trees,
are the de facto standard BBST algorithms found in implementations of
Python, Java, and other libraries. The LLRB method of implementing 2-3
trees is a recent improvement over the traditional implementation. The
LLRB approach was discovered relatively recently (in 2008) by Robert
Sedgewick of Princeton University.
Description-md5: 2fe8dae6fd6d07400e14558a6b8c7a93