How to Install and Uninstall libaec-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 07,2024

1. Install "libaec-dev" package

Please follow the step by step instructions below to install libaec-dev on Ubuntu 21.10 (Impish Indri)


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

This guide covers the steps necessary to uninstall libaec-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libaec-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libaec-dev package on Ubuntu 21.10 (Impish Indri)

Package: libaec-dev
Architecture: amd64
Version: 1.0.4-3
Multi-Arch: same
Priority: extra
Section: universe/libdevel
Source: libaec
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Alastair McKinstry
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 58
Depends: libaec0 (= 1.0.4-3), libsz2 (= 1.0.4-3)
Filename: pool/universe/liba/libaec/libaec-dev_1.0.4-3_amd64.deb
Size: 15992
MD5sum: 7f690ed9d4c4c13554f4d710fb1d129b
SHA1: 2e754c857e5d3bf27894d67624d27b1d51d75859
SHA256: 53a1c9b79e9523f2ff732689cc650c4f0b0bd95ed58681878badc32fb4119108
SHA512: 4eb8373088f5dbb026fdf0637ff79f4daa8acfb04568336ef34a148c05a2aa2f92485bb14da261f5a0d4db8b1ecb5b6b8fc4a87afa5795286ff6f2c9ddc91eec
Homepage: https://gitlab.dkrz.de/k202009/libaec
Description-en: Development files for the Adaptive Entropy Coding library
Libaec provides fast lossless compression of 1 up to 32 bit wide
signed or unsigned integers (samples). The library achieves best
results for low entropy data as often encountered in space imaging
instrument data or numerical model output from weather or climate
simulations. While floating point representations are not directly
supported, they can also be efficiently coded by grouping exponents
and mantissa.
Description-md5: 0c13551d42241e920faa6740d7069ce9