How to Install and Uninstall simstring-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 23,2024

1. Install "simstring-dev" package

Here is a brief guide to show you how to install simstring-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                simstring-dev
            
                    
    
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2. Uninstall "simstring-dev" package

Please follow the steps below to uninstall simstring-dev on Ubuntu 20.10 (Groovy Gorilla):


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

Package: simstring-dev
Architecture: amd64
Version: 1.0-3build1
Priority: extra
Section: universe/libdevel
Source: simstring
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: NOKUBI Takatsugu
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1854
Filename: pool/universe/s/simstring/simstring-dev_1.0-3build1_amd64.deb
Size: 1787136
MD5sum: ec6adb99a1b2e204e2311affb9b1dfb0
SHA1: cebb7593730771570177f9826d03b7c5b6e088dd
SHA256: 4b240be5b60f3c55f88fdafa6d6c19c36609c41ba6385f1e69185136df613971
SHA512: 274f7dbb9277b1e5dbd87552496e7724d198d142ddf98a2b873f0b8e628b4993a92df67decdbc7c39b16e4d514b26d993ea5b7853160b9f2a492cf06a5da8439
Homepage: http://www.chokkan.org/software/simstring/index.html.en
Description-en: fast and simple algorithm for approximate string matching/retrieval
SimString is a simple library for fast approximate string
retrieval. Approximate string retrieval finds strings in a database
whose similarity with a query string is no smaller than a
threshold. Finding not only identical but similar strings, approximate
string retrieval has various applications including spelling
correction, flexible dictionary matching, duplicate detection, and
record linkage.
.
It is implemented using C++ templates.
Description-md5: 706a770e6d05250e88f8a18fc056f17c