How to Install and Uninstall libcorkipset-utils Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 16,2024

1. Install "libcorkipset-utils" package

This tutorial shows how to install libcorkipset-utils on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcorkipset-utils
            
                    
    
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2. Uninstall "libcorkipset-utils" package

Learn how to uninstall libcorkipset-utils on Ubuntu 20.10 (Groovy Gorilla):


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

Package: libcorkipset-utils
Architecture: amd64
Version: 1.1.1+20150311-9
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: 75
Depends: libcorkipset1 (= 1.1.1+20150311-9), libc6 (>= 2.4), libcork16 (>= 0.15.0)
Filename: pool/universe/libc/libcorkipset/libcorkipset-utils_1.1.1+20150311-9_amd64.deb
Size: 15388
MD5sum: 7e9e7a5aefa9b46e69d38739e7d1d679
SHA1: b7a1587602048c732368ce7d207e7587e133559e
SHA256: 4d4b39e8ba7f0aa2de30ac1ef294d9f8899d28eac813c2efdd0f8dcad5db6b79
SHA512: 42eb8a66a2a1cdc5f362acfefef5226eb56230aedb7bb979fe1f9ec3e870298fae4a761edfc07d8a43ada7c540268b28151caddc563721d2068feeb5036ecbec
Homepage: https://github.com/dcreager/libcorkipset
Description-en: C library to store sets/maps of IP address (utility files)
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 a few utility binaries for the library.
Description-md5: 528e84a5bc3064756c3360d6d8584f06