How to Install and Uninstall liblz4-1-dbg Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 25,2024

1. Install "liblz4-1-dbg" package

Please follow the guidelines below to install liblz4-1-dbg on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                liblz4-1-dbg
            
                    
    
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2. Uninstall "liblz4-1-dbg" package

Please follow the steps below to uninstall liblz4-1-dbg on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                liblz4-1-dbg
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the liblz4-1-dbg package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: liblz4-1-dbg
Priority: extra
Section: debug
Installed-Size: 1955
Maintainer: Ubuntu Developers
Original-Maintainer: Nobuhiro Iwamatsu
Architecture: amd64
Source: lz4
Version: 0.0~r131-2ubuntu2
Replaces: liblz4-0.0-dbg (<= 0.0~r113-1)
Depends: liblz4-1 (= 0.0~r131-2ubuntu2)
Conflicts: liblz4-0.0-dbg (<= 0.0~r113-1)
Filename: pool/main/l/lz4/liblz4-1-dbg_0.0~r131-2ubuntu2_amd64.deb
Size: 227828
MD5sum: dd9b1080077ce1c377684325b2c96a79
SHA1: 2ca714457f21ac6a4bbdcc31c22d829e8f4f9f2b
SHA256: 5946a8ab1b4033d9917704e57059b8290c5e5fe14ff53da9e3d353896f3c7cde
Description-en: Fast LZ compression algorithm library - Debugging Symbols
LZ4 is a very fast lossless compression algorithm, providing compression speed
at 400 MB/s per core, scalable with multi-cores CPU. It also features an
extremely fast decoder, with speed in multiple GB/s per core, typically
reaching RAM speed limits on multi-core systems.
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This package contains the debugging symbols.
Description-md5: 235d162b0c1417d414ba8889f800292a
Homepage: https://github.com/Cyan4973/lz4
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Supported: 9m