How to Install and Uninstall toulbar2 Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 15,2024

1. Install "toulbar2" package

This is a short guide on how to install toulbar2 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                toulbar2
            
                    
    
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2. Uninstall "toulbar2" package

Here is a brief guide to show you how to uninstall toulbar2 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                toulbar2
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the toulbar2 package on Ubuntu 21.10 (Impish Indri)

Package: toulbar2
Architecture: amd64
Version: 1.1.1+dfsg-1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2931
Depends: libboost-iostreams1.74.0 (>= 1.74.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgmp10, libjemalloc2 (>= 5.0.0), liblzma5 (>= 5.2.2), libstdc++6 (>= 5.2), libxml2 (>= 2.7.4)
Recommends: toulbar2-doc
Filename: pool/universe/t/toulbar2/toulbar2_1.1.1+dfsg-1_amd64.deb
Size: 930828
MD5sum: 2f663869acb359223bc39a7bbbfe78a1
SHA1: ea4e4b08e65d71ec4591732fd3050fa71b341af3
SHA256: bc04b380143b1109194acf8276379f6157cdd5a25d2c7a2ffb2e582f5ec6c87b
SHA512: 3ed4117fd9c62d77c9a9b3728a6e12eb55304b19324fceda96a04274fd6c16c3d0e60db18ce7680974c9ff89d5a7fb45e5540b3db4127925f5ffab793d3b5510
Homepage: http://www.inra.fr/mia/T/toulbar2
Description-en: Exact combinatorial optimization for Graphical Models
Toulbar2 is an exact discrete optimization tool for Graphical Models
such as Cost Function Networks, Markov Random Fields, Weighted Constraint
Satisfaction Problems and Bayesian Nets.
Description-md5: 61bf656067841e1fba4d701b14fc30de