How to Install and Uninstall libjsr166y-java-doc Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 21,2024

1. Install "libjsr166y-java-doc" package

This tutorial shows how to install libjsr166y-java-doc on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libjsr166y-java-doc
            
                    
    
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2. Uninstall "libjsr166y-java-doc" package

Please follow the step by step instructions below to uninstall libjsr166y-java-doc on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libjsr166y-java-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libjsr166y-java-doc package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libjsr166y-java-doc
Priority: optional
Section: universe/doc
Installed-Size: 3205
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Java Maintainers
Architecture: all
Source: libjsr166y-java
Version: 1.7.0-2
Suggests: default-jdk-doc, libjsr166y-java
Filename: pool/universe/libj/libjsr166y-java/libjsr166y-java-doc_1.7.0-2_all.deb
Size: 141588
MD5sum: 5d2c6e574ec0b9c39c7673beeae6b619
SHA1: 578bd2e7f9b33bb9af0f5235ae949a12abbe8211
SHA256: 9e19868b6d646a26e17f6f9f892b083e2239f5fdbc64920904059469ab471257
Description-en: Documentation for libjsr166y-java
Documentation for JSR166 that provides a Java framework that
supports a style of parallel programming in which problems are
solved by (recursively) splitting them into subtasks that
are solved in parallel, waiting for them to complete, and
then composing results.
.
Fork/Join parallelism is among the simplest and most
effective design techniques for obtaining good parallel
performance. Fork/Join algorithms are parallel versions
of familiar divide-and-conquer algorithms.
.
JSR166y includes a parallel computation framework:
ForkJoinTasks and their related support classes provide a
very efficient basis for obtaining platform-independent
parallel speed-ups of computation-intensive operations.
.
This package contains javadocs for jsr166y and extra166y
Java packages.
Description-md5: b0ca4cb082d3a32ad7a918fd89edbb97
Homepage: http://g.oswego.edu/dl/concurrency-interest/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu