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

Last updated: December 24,2024

1. Install "tagcoll" package

Please follow the guidelines below to install tagcoll on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install tagcoll

2. Uninstall "tagcoll" package

Please follow the instructions below to uninstall tagcoll on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove tagcoll $ sudo apt autoclean && sudo apt autoremove

3. Information about the tagcoll package on Ubuntu 20.10 (Groovy Gorilla)

Package: tagcoll
Architecture: amd64
Version: 2.0.14-2build1
Priority: optional
Section: universe/misc
Source: tagcoll2
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian QA Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 439
Depends: libc6 (>= 2.22), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Filename: pool/universe/t/tagcoll2/tagcoll_2.0.14-2build1_amd64.deb
Size: 137436
MD5sum: 0d8b4e89b4aca7faedd2e968440311c7
SHA1: 47b24923c5ede062a20d5cf98dd5e23d033145e5
SHA256: 652f3f26561ced10e730f0df208789004e85ed8cdee97b3ecd6d8bd5dc5215cc
SHA512: 76c8d1660426e051a6a481087251270dd12347547b08625571e3c2800103a3b43922c8c4e6361eb2a70f9e01f938d7c49d116dbf062c142709ad226d2ddfabdf
Homepage: http://debtags.alioth.debian.org
Description-en: Commandline tool to perform operations on tagged collections
tagcoll takes a collection of items categorized with multiple tags and
performs various kinds of operations on them:
.
* organize the collection in an intuitively navigable hierarchy;
* discover and show implicit hierarchical relationships between
tags;
* apply various transformations to the collection
* produce a special patch file with the differencies between two collections.
Such patch files are specific to tagged collections, and can be applied and
merged more freely than normal diff output;
* apply a previously generated patch file to a collection.
.
tagcoll has been written with the purpose of studying tagged collections and
experiment with tagged collection algorithms.
Description-md5: 2328eac4efc8e938f3ddf4c2d76b90c4