How to Install and Uninstall libbabl-0_1-0-32bit Package on openSUSE Leap
Last updated: November 08,2024
1. Install "libbabl-0_1-0-32bit" package
Please follow the steps below to install libbabl-0_1-0-32bit on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
libbabl-0_1-0-32bit
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2. Uninstall "libbabl-0_1-0-32bit" package
In this section, we are going to explain the necessary steps to uninstall libbabl-0_1-0-32bit on openSUSE Leap:
$
sudo zypper remove
libbabl-0_1-0-32bit
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3. Information about the libbabl-0_1-0-32bit package on openSUSE Leap
Information for package libbabl-0_1-0-32bit:
--------------------------------------------
Repository : Main Repository
Name : libbabl-0_1-0-32bit
Version : 0.1.88-150400.1.10
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 1.0 MiB
Installed : No
Status : not installed
Source package : babl-0.1.88-150400.1.10.src
Upstream URL : http://gegl.org/babl/
Summary : Dynamic Pixel Format Translation Library
Description :
babl is a dynamic, any to any, pixel format translation library.
It allows converting between different methods of storing pixels known
as pixel formats that have with different bitdepths and other data
representations, color models and component permutations.
A vocabulary to formulate new pixel formats from existing primitives is
provided as well as the framework to add new color models and data
types.
--------------------------------------------
Repository : Main Repository
Name : libbabl-0_1-0-32bit
Version : 0.1.88-150400.1.10
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 1.0 MiB
Installed : No
Status : not installed
Source package : babl-0.1.88-150400.1.10.src
Upstream URL : http://gegl.org/babl/
Summary : Dynamic Pixel Format Translation Library
Description :
babl is a dynamic, any to any, pixel format translation library.
It allows converting between different methods of storing pixels known
as pixel formats that have with different bitdepths and other data
representations, color models and component permutations.
A vocabulary to formulate new pixel formats from existing primitives is
provided as well as the framework to add new color models and data
types.