How to Install and Uninstall fpack.x86_64 Package on CentOS 8 / RHEL 8
Last updated: November 15,2024
1. Install "fpack.x86_64" package
This is a short guide on how to install fpack.x86_64 on CentOS 8 / RHEL 8
$
sudo dnf update
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$
sudo dnf install
fpack.x86_64
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2. Uninstall "fpack.x86_64" package
Learn how to uninstall fpack.x86_64 on CentOS 8 / RHEL 8:
$
sudo dnf remove
fpack.x86_64
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$
sudo dnf autoremove
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3. Information about the fpack.x86_64 package on CentOS 8 / RHEL 8
Last metadata expiration check: 1 day, 4:25:15 ago on Sun May 9 13:03:46 2021.
Available Packages
Name : fpack
Version : 3.47
Release : 1.el8
Architecture : x86_64
Size : 608 k
Source : cfitsio-3.47-1.el8.src.rpm
Repository : epel
Summary : FITS image compression and decompression utilities
URL : http://heasarc.gsfc.nasa.gov/fitsio/
License : MIT
Description : fpack optimally compresses FITS format images and funpack restores them
: to the original state.
:
: * Integer format images are losslessly compressed using the Rice
: compression algorithm.
: * typically 30% better compression than GZIP
: * about 3 times faster compression speed than GZIP
: * about the same uncompression speed as GUNZIP
:
: * Floating-point format images are compressed with a lossy algorithm
: * truncates the image pixel noise by a user-specified amount to
: produce much higher compression than by lossless techniques
: * the precision of scientific measurements in the compressed image
: (relative to those in the original image) depends on the selected
: amount of compression
Available Packages
Name : fpack
Version : 3.47
Release : 1.el8
Architecture : x86_64
Size : 608 k
Source : cfitsio-3.47-1.el8.src.rpm
Repository : epel
Summary : FITS image compression and decompression utilities
URL : http://heasarc.gsfc.nasa.gov/fitsio/
License : MIT
Description : fpack optimally compresses FITS format images and funpack restores them
: to the original state.
:
: * Integer format images are losslessly compressed using the Rice
: compression algorithm.
: * typically 30% better compression than GZIP
: * about 3 times faster compression speed than GZIP
: * about the same uncompression speed as GUNZIP
:
: * Floating-point format images are compressed with a lossy algorithm
: * truncates the image pixel noise by a user-specified amount to
: produce much higher compression than by lossless techniques
: * the precision of scientific measurements in the compressed image
: (relative to those in the original image) depends on the selected
: amount of compression