How to Install and Uninstall python310-colorspacious Package on openSuSE Tumbleweed
Last updated: December 24,2024
1. Install "python310-colorspacious" package
This guide let you learn how to install python310-colorspacious on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-colorspacious
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2. Uninstall "python310-colorspacious" package
Please follow the instructions below to uninstall python310-colorspacious on openSuSE Tumbleweed:
$
sudo zypper remove
python310-colorspacious
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3. Information about the python310-colorspacious package on openSuSE Tumbleweed
Information for package python310-colorspacious:
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Repository : openSUSE-Tumbleweed-Oss
Name : python310-colorspacious
Version : 1.1.2-2.11
Arch : noarch
Vendor : openSUSE
Installed Size : 229.6 KiB
Installed : No
Status : not installed
Source package : python-colorspacious-1.1.2-2.11.src
Upstream URL : https://github.com/njsmith/colorspacious
Summary : Python library for doing colorspace conversions
Description :
Colorspacious is a library for performing colorspace conversions.
In addition to the most common standard colorspaces (sRGB, XYZ, xyY,
CIELab, CIELCh), it also includes color vision deficiency ("color
blindness") simulations using the approach of Machado et al (2009), a
complete implementation of CIECAM02
, and the perceptually
uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
(2006).
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-colorspacious
Version : 1.1.2-2.11
Arch : noarch
Vendor : openSUSE
Installed Size : 229.6 KiB
Installed : No
Status : not installed
Source package : python-colorspacious-1.1.2-2.11.src
Upstream URL : https://github.com/njsmith/colorspacious
Summary : Python library for doing colorspace conversions
Description :
Colorspacious is a library for performing colorspace conversions.
In addition to the most common standard colorspaces (sRGB, XYZ, xyY,
CIELab, CIELCh), it also includes color vision deficiency ("color
blindness") simulations using the approach of Machado et al (2009), a
complete implementation of CIECAM02
uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
(2006).