How to Install and Uninstall libcorkipset1 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 07,2024

1. Install "libcorkipset1" package

This guide let you learn how to install libcorkipset1 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcorkipset1
            
                    
    
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2. Uninstall "libcorkipset1" package

Please follow the step by step instructions below to uninstall libcorkipset1 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libcorkipset1
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcorkipset1 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libcorkipset1
Architecture: amd64
Version: 1.1.1+20150311-9
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: libcorkipset
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Bridges Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 54
Depends: libc6 (>= 2.4), libcork16 (>= 0.15.0)
Filename: pool/universe/libc/libcorkipset/libcorkipset1_1.1.1+20150311-9_amd64.deb
Size: 15640
MD5sum: 25ce4f5f5e6ae14f2ee0d99afb739e45
SHA1: 60d3ad57293a97dd87a7239e069a533275d9ed93
SHA256: 945bb127688630b8e94b6b117490df7385cde4c1d86d402552edb8656f437c08
SHA512: 89ee84d6a50cec8abb467c66e34a19b89dbe5ea0d4eb7e0ab57ac586dea9ba41b046533527a3f5776d86b79177edf43e50a81bb94f5fc068b7d67d0be6939ab7
Homepage: https://github.com/dcreager/libcorkipset
Description-en: C library to store sets/maps of IP address
The ipset library provides C data types for storing sets of IP
addresses, and maps of IP addresses to integers. It supports both
IPv4 and IPv6 addresses. It's implemented using "Binary Decision
Diagrams" (BDDs, https://en.wikipedia.org/wiki/Binary_decision_diagram),
which (we hypothesize) makes it space efficient for large sets.
.
This package provides shared library.
Description-md5: aa2b31f1cf6788379d9abbc03772db58