How to Install and Uninstall libghc-dice-entropy-conduit-prof Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 18,2024

1. Install "libghc-dice-entropy-conduit-prof" package

This is a short guide on how to install libghc-dice-entropy-conduit-prof on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install libghc-dice-entropy-conduit-prof

2. Uninstall "libghc-dice-entropy-conduit-prof" package

In this section, we are going to explain the necessary steps to uninstall libghc-dice-entropy-conduit-prof on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove libghc-dice-entropy-conduit-prof $ sudo apt autoclean && sudo apt autoremove

3. Information about the libghc-dice-entropy-conduit-prof package on Ubuntu 20.10 (Groovy Gorilla)

Package: libghc-dice-entropy-conduit-prof
Architecture: amd64
Version: 1.0.0.3-1build2
Priority: extra
Section: universe/haskell
Source: haskell-dice-entropy-conduit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Haskell Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 259
Provides: libghc-dice-entropy-conduit-prof-1.0.0.3-3b21d
Depends: libghc-dice-entropy-conduit-dev (= 1.0.0.3-1build2), libghc-base-prof-4.13.0.0-c9705, libghc-bytestring-prof-0.10.10.0-70a9a, libghc-conduit-prof-1.3.2-7ff8d, libghc-entropy-prof-0.4.1.6-e99af, libghc-transformers-prof-0.5.6.2-e88a5
Filename: pool/universe/h/haskell-dice-entropy-conduit/libghc-dice-entropy-conduit-prof_1.0.0.3-1build2_amd64.deb
Size: 31332
MD5sum: 2b76da9524abe3ee46eb8ffd33aa771c
SHA1: c1de4fc080b66bc2ccbff3103395a1fe407849be
SHA256: 5510eaeb29d79ad51402fbbe2047aa813820333ace6c43da9c2b90c2bf879c61
SHA512: 89ebcc8e331e345670f26359d09930bca31b79da6db6b395b3651c4f6570e31b9fea4cd03411e6316f83edbf691a854a020a14edd3d02d2735f949c141fb77d3
Homepage: https://github.com/pwrobinson/dice-entropy-conduit#readme
Description-en: secure n-sided dice rolls and random sampling; profiling libraries
Haskll library providing cryptographically secure n-sided dice rolls,
and random sampling within a given range. The technique of rejection
sampling is used to obtain the random data. The number of random
bits used is close to the optimal bound, information-theoretically
speaking.
.
This package provides a library for the Haskell programming language, compiled
for profiling. See http://www.haskell.org/ for more information on Haskell.
Description-md5: acad95998b149d3d6644a49a82ec9700