How to Install and Uninstall similarity-tester Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 24,2024

1. Install "similarity-tester" package

Please follow the steps below to install similarity-tester on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                similarity-tester
            
                    
    
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2. Uninstall "similarity-tester" package

Please follow the guidance below to uninstall similarity-tester on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                similarity-tester
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the similarity-tester package on Ubuntu 21.10 (Impish Indri)

Package: similarity-tester
Architecture: amd64
Version: 3.0.2-1
Priority: extra
Section: universe/devel
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Michael Meskes
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 499
Depends: libc6 (>= 2.4)
Filename: pool/universe/s/similarity-tester/similarity-tester_3.0.2-1_amd64.deb
Size: 71900
MD5sum: b9846ecd514802b509b6b7a518a0afa3
SHA1: bcde83d71d285c058b500c4773965b4a19874835
SHA256: 47a35efa160b7f603f4e5ae467bd30705bd4684c9995c942456fe18768543074
SHA512: 01bd46db00e8269d3075013bb2f7a1a2b9a8e2b70341faeb9f3955c906f0dc89bf89ffb2b7b9d275bdd9a0f69a30057a794c439134426dd553ed52bf025a49aa
Homepage: http://dickgrune.com/Programs/similarity_tester
Description-en: Find lexical similarities between files
Find lexical similarities in texts in C, C++, Java, Pascal, Modula-2, Lisp,
Miranda and natural language. This can be used to detect potentially duplicated
code fragments in large software projects and to detect plagiarism in software
and text-based projects, educational and otherwise.
Description-md5: 94eb918bd819d74015ad67c3ca5c7e60