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

Last updated: May 10,2024

1. Install "armagetronad" package

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

$ sudo apt update $ sudo apt install armagetronad

2. Uninstall "armagetronad" package

In this section, we are going to explain the necessary steps to uninstall armagetronad on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove armagetronad $ sudo apt autoclean && sudo apt autoremove

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

Package: armagetronad
Architecture: amd64
Version: 0.2.8.3.5-1
Priority: optional
Section: universe/games
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Games Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2453
Depends: armagetronad-common (= 0.2.8.3.5-1), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libpng16-16 (>= 1.6.2-1), libsdl-image1.2 (>= 1.2.10), libsdl1.2debian (>= 1.2.11), libstdc++6 (>= 9), libxml2 (>= 2.8.0)
Filename: pool/universe/a/armagetronad/armagetronad_0.2.8.3.5-1_amd64.deb
Size: 1143616
MD5sum: 82bf3d4922e35ae3ed96c90d82be89b1
SHA1: 8b126c339a0d984dbb7b21f057dfe95c4f335fad
SHA256: db4bc82a2bacb70b22c71fabce324d9d4e92102c6fadb664ec77ab0ffe115c05
SHA512: 65d9a28761457543539a901ee8e14b15af4a397bf0b6a84e1f67b3405db44b9fb78a37a821d462a79ff3d229b61a4a142de6a756e0a7bd4e8ed42c947cfec4d2
Homepage: http://armagetronad.org
Description-en: 3D Tron-like high speed game
The rules are simple: you ride a light cycle (a kind of motorbike that can
only turn 90 degrees at a time, leaves a wall behind and cannot be stopped)
and have to avoid running into walls while at the same time you have to try to
get your opponent to run into them.
.
The idea is based on the Disney movie from 1982 called "Tron". If you ever
wanted to take a try at one of those speed demons features in the movie, this
is your chance.
.
Armagetron Advanced can be played against AI opponents, against other humans
over the network, or a mixture of both.
Description-md5: 9dd6c1aabf6a7a38694e3700be689c41