How to Install and Uninstall bogofilter-common Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 23,2024

1. Install "bogofilter-common" package

Please follow the guidance below to install bogofilter-common on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                bogofilter-common
            
                    
    
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2. Uninstall "bogofilter-common" package

Please follow the guidelines below to uninstall bogofilter-common on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                bogofilter-common
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the bogofilter-common package on Ubuntu 20.10 (Groovy Gorilla)

Package: bogofilter-common
Architecture: amd64
Version: 1.2.4+dfsg1-13build1
Priority: optional
Section: universe/mail
Source: bogofilter
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Adrian Bunk
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 613
Suggests: doc-base
Replaces: bogofilter (<< 0.94.14-1)
Filename: pool/universe/b/bogofilter/bogofilter-common_1.2.4+dfsg1-13build1_amd64.deb
Size: 193772
MD5sum: 55846082e59a8d73101a0d076c657a23
SHA1: efb6abc1c2cc8c71d3e865e6faa6cec1172eabcd
SHA256: 7e229d71189a21befd2bd56e46a9e2c57cd908e788fba0dde50251cbec0cffee
SHA512: bc15036e8d18e93a4a784b774db7b3dea51bbae3196bc2c0f6d440c486861ca8dd0222b9ea10a70ba5c955af12fc6107f3ca6c721c404c958e46393b4fe2fc4a
Homepage: http://bogofilter.sourceforge.net/
Description-en: fast Bayesian spam filter (common files)
This package implements a fast Bayesian spam filter along the lines suggested
by Paul Graham in his article "A Plan For Spam".
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This version substantially improves on Paul's proposal by doing smarter
lexical analysis. In particular, hostnames and IP addresses are retained
as recognition features rather than broken up. Various kinds of MTA
cruft such as dates and message-IDs are discarded so as not to bloat
the word lists.
.
This package provides files that are common for all database backends.
Description-md5: 2e806a17661e5d96bbb0a0121098a1e3
Task: ubuntu-mate-desktop