How to Install and Uninstall libaec-dev Package on Kali Linux
Last updated: December 23,2024
1. Install "libaec-dev" package
This guide covers the steps necessary to install libaec-dev on Kali Linux
$
sudo apt update
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$
sudo apt install
libaec-dev
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2. Uninstall "libaec-dev" package
This is a short guide on how to uninstall libaec-dev on Kali Linux:
$
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 Kali Linux
Package: libaec-dev
Source: libaec
Version: 1.1.2-1
Installed-Size: 69
Maintainer: Alastair McKinstry
Architecture: amd64
Depends: libaec0 (= 1.1.2-1), libsz2 (= 1.1.2-1)
Size: 20912
SHA256: f6f5be7a317b976892b1ca2e1b43b05f72fecdc5f77ab587af7ae960740d1059
SHA1: 7a6688371f48a1c6c827985f4ce605b816f25965
MD5sum: bafdeebdb2dd5e8d0503c33ac8b3b838
Description: 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:
Multi-Arch: same
Homepage: https://gitlab.dkrz.de/k202009/libaec
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/liba/libaec/libaec-dev_1.1.2-1_amd64.deb
Source: libaec
Version: 1.1.2-1
Installed-Size: 69
Maintainer: Alastair McKinstry
Architecture: amd64
Depends: libaec0 (= 1.1.2-1), libsz2 (= 1.1.2-1)
Size: 20912
SHA256: f6f5be7a317b976892b1ca2e1b43b05f72fecdc5f77ab587af7ae960740d1059
SHA1: 7a6688371f48a1c6c827985f4ce605b816f25965
MD5sum: bafdeebdb2dd5e8d0503c33ac8b3b838
Description: 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:
Multi-Arch: same
Homepage: https://gitlab.dkrz.de/k202009/libaec
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/liba/libaec/libaec-dev_1.1.2-1_amd64.deb