How to Install and Uninstall libjudy-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 08,2024

1. Install "libjudy-dev" package

Learn how to install libjudy-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libjudy-dev
            
                    
    
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2. Uninstall "libjudy-dev" package

Learn how to uninstall libjudy-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libjudy-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libjudy-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libjudy-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 794
Maintainer: Ubuntu Developers
Original-Maintainer: Troy Heber
Architecture: amd64
Source: judy
Version: 1.0.5-5
Depends: libjudydebian1 (= 1.0.5-5)
Filename: pool/universe/j/judy/libjudy-dev_1.0.5-5_amd64.deb
Size: 133316
MD5sum: 3b85087edfedc952b1b3ad19d4a30fc2
SHA1: a063a577f29c41215f70dfa087bce1db98049054
SHA256: be1f2ee6891cc5c07a055047718187666e97d2fc31ef5a39c1fcf66316a954e8
Description-en: C library for creating and accessing dynamic arrays (dev package)
Judy is a C library that implements a dynamic array. Empty Judy arrays are
declared with null pointers. A Judy array consumes memory only when
populated yet can grow to take advantage of all available memory. Judy's key
benefits are: scalability, performance, memory efficiency, and ease of use.
Judy arrays are designed to grow without tuning into the peta-element range,
scaling near O(log-base-256).
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Judy arrays are accessed with insert, retrieve, and delete calls for number
or string indexes. Configuration and tuning are not required -- in fact not
possible. Judy offers sorting, counting, and neighbor/empty searching.
Indexes can be sequential, clustered, periodic, or random -- it doesn't
matter to the algorithm. Judy arrays can be arranged hierarchically to
handle any bit patterns -- large indexes, sets of keys, etc.
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Judy is often an improvement over common data structures such as: arrays,
sparse arrays, hash tables, B-trees, binary trees, linear lists, skiplists,
other sort and search algorithms, and counting functions.
.
This is the development package.
Description-md5: 3f37f9368d6875c98dfa4a78c12db96b
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu