How to Install and Uninstall libopenrefine-arithcode-java Package on Debian 11 (Bullseye)
Last updated: November 23,2024
1. Install "libopenrefine-arithcode-java" package
Please follow the guidelines below to install libopenrefine-arithcode-java on Debian 11 (Bullseye)
$
sudo apt update
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$
sudo apt install
libopenrefine-arithcode-java
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2. Uninstall "libopenrefine-arithcode-java" package
Here is a brief guide to show you how to uninstall libopenrefine-arithcode-java on Debian 11 (Bullseye):
$
sudo apt remove
libopenrefine-arithcode-java
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libopenrefine-arithcode-java package on Debian 11 (Bullseye)
Package: libopenrefine-arithcode-java
Source: openrefine-arithcode
Version: 1.2-2~bpo11+1
Installed-Size: 50
Maintainer: Debian Java Maintainers
Architecture: all
Description-en: Java implementation of arithmetic coding and PPM compression
Arithmetic coding is a general technique for coding the outcome of a
stochastic process based on an adaptive model. The expected bit rate is the
cross-entropy rate of the model versus the actual process. PPM, prediction by
partial matching, is an adaptive statistical model of a symbol sequence which
models the likelihood of the next byte based on a (relatively short) suffix of
the sequence of previous bytes.
Description-md5: 457eb5f28b88e1370c68847f31962d77
Homepage: https://github.com/bob-carpenter/java-arithcode
Section: java
Priority: optional
Filename: pool/main/o/openrefine-arithcode/libopenrefine-arithcode-java_1.2-2~bpo11+1_all.deb
Size: 27712
SHA256: 8dd8f46373fbca724d40f827b65f10bf1759220e242724acd38cfba998140692
Source: openrefine-arithcode
Version: 1.2-2~bpo11+1
Installed-Size: 50
Maintainer: Debian Java Maintainers
Architecture: all
Description-en: Java implementation of arithmetic coding and PPM compression
Arithmetic coding is a general technique for coding the outcome of a
stochastic process based on an adaptive model. The expected bit rate is the
cross-entropy rate of the model versus the actual process. PPM, prediction by
partial matching, is an adaptive statistical model of a symbol sequence which
models the likelihood of the next byte based on a (relatively short) suffix of
the sequence of previous bytes.
Description-md5: 457eb5f28b88e1370c68847f31962d77
Homepage: https://github.com/bob-carpenter/java-arithcode
Section: java
Priority: optional
Filename: pool/main/o/openrefine-arithcode/libopenrefine-arithcode-java_1.2-2~bpo11+1_all.deb
Size: 27712
SHA256: 8dd8f46373fbca724d40f827b65f10bf1759220e242724acd38cfba998140692