How to Install and Uninstall libghc-text-metrics-prof Package on Kali Linux
Last updated: November 26,2024
1. Install "libghc-text-metrics-prof" package
Learn how to install libghc-text-metrics-prof on Kali Linux
$
sudo apt update
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$
sudo apt install
libghc-text-metrics-prof
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2. Uninstall "libghc-text-metrics-prof" package
This is a short guide on how to uninstall libghc-text-metrics-prof on Kali Linux:
$
sudo apt remove
libghc-text-metrics-prof
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libghc-text-metrics-prof package on Kali Linux
Package: libghc-text-metrics-prof
Source: haskell-text-metrics (0.3.2-2)
Version: 0.3.2-2+b1
Installed-Size: 216
Maintainer: Debian Haskell Group
Architecture: amd64
Provides: libghc-text-metrics-prof-0.3.2-e28cf
Depends: libghc-base-prof-4.17.2.0-68dfe, libghc-containers-prof-0.6.7-a1650, libghc-text-metrics-dev (= 0.3.2-2+b1), libghc-text-prof-2.0.2-0847e, libghc-vector-prof-0.13.1.0-1ffee
Size: 39672
SHA256: 787e2797b8ff88465528e1bd0e7f97d949dd36c5a7f3be8e15ef60e016a0ea60
SHA1: b067a4e3f698e8986d0a821e454ab29c09fcc5c7
MD5sum: e6758870c381ec2f77c779966ad384ae
Description: Calculate various string metrics efficiently; profiling libraries
This library provides efficient implementations of various strings metric
algorithms. It works with strict Text values.
.
The current version implements the following algorithms:
.
* Levenshtein distance
* Normalized Levenshtein distance
* Damerau-Levenshtein distance
* Normalized Damerau-Levenshtein distance
* Hamming distance
* Jaro distance
* Jaro-Winkler distance
* Overlap coefficient
* Jaccard similarity coefficient
.
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:
Homepage: https://github.com/mrkkrp/text-metrics
Section: haskell
Priority: optional
Filename: pool/main/h/haskell-text-metrics/libghc-text-metrics-prof_0.3.2-2+b1_amd64.deb
Source: haskell-text-metrics (0.3.2-2)
Version: 0.3.2-2+b1
Installed-Size: 216
Maintainer: Debian Haskell Group
Architecture: amd64
Provides: libghc-text-metrics-prof-0.3.2-e28cf
Depends: libghc-base-prof-4.17.2.0-68dfe, libghc-containers-prof-0.6.7-a1650, libghc-text-metrics-dev (= 0.3.2-2+b1), libghc-text-prof-2.0.2-0847e, libghc-vector-prof-0.13.1.0-1ffee
Size: 39672
SHA256: 787e2797b8ff88465528e1bd0e7f97d949dd36c5a7f3be8e15ef60e016a0ea60
SHA1: b067a4e3f698e8986d0a821e454ab29c09fcc5c7
MD5sum: e6758870c381ec2f77c779966ad384ae
Description: Calculate various string metrics efficiently; profiling libraries
This library provides efficient implementations of various strings metric
algorithms. It works with strict Text values.
.
The current version implements the following algorithms:
.
* Levenshtein distance
* Normalized Levenshtein distance
* Damerau-Levenshtein distance
* Normalized Damerau-Levenshtein distance
* Hamming distance
* Jaro distance
* Jaro-Winkler distance
* Overlap coefficient
* Jaccard similarity coefficient
.
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:
Homepage: https://github.com/mrkkrp/text-metrics
Section: haskell
Priority: optional
Filename: pool/main/h/haskell-text-metrics/libghc-text-metrics-prof_0.3.2-2+b1_amd64.deb