How to Install and Uninstall threadweaver-devel-32bit Package on openSUSE Leap
Last updated: January 23,2025
Deprecated! Installation of this package may no longer be supported.
1. Install "threadweaver-devel-32bit" package
This guide let you learn how to install threadweaver-devel-32bit on openSUSE Leap
$
sudo zypper refresh
Copied
$
sudo zypper install
threadweaver-devel-32bit
Copied
2. Uninstall "threadweaver-devel-32bit" package
This tutorial shows how to uninstall threadweaver-devel-32bit on openSUSE Leap:
$
sudo zypper remove
threadweaver-devel-32bit
Copied
3. Information about the threadweaver-devel-32bit package on openSUSE Leap
Information for package threadweaver-devel-32bit:
-------------------------------------------------
Repository : Update repository of openSUSE Backports
Name : threadweaver-devel-32bit
Version : 5.76.0-bp153.2.2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 0 B
Installed : No
Status : not installed
Source package : threadweaver-5.76.0-bp153.2.2.1.src
Summary : KDE Helper for multithreaded programming
Description :
ThreadWeaver is a helper for multithreaded programming. It uses a job-based
interface to queue tasks and execute them in an efficient way.
You simply divide the workload into jobs, state the dependencies between the jobs
and ThreadWeaver will work out the most efficient way of dividing the work between
threads within a set of resource limits. Development files.
-------------------------------------------------
Repository : Update repository of openSUSE Backports
Name : threadweaver-devel-32bit
Version : 5.76.0-bp153.2.2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 0 B
Installed : No
Status : not installed
Source package : threadweaver-5.76.0-bp153.2.2.1.src
Summary : KDE Helper for multithreaded programming
Description :
ThreadWeaver is a helper for multithreaded programming. It uses a job-based
interface to queue tasks and execute them in an efficient way.
You simply divide the workload into jobs, state the dependencies between the jobs
and ThreadWeaver will work out the most efficient way of dividing the work between
threads within a set of resource limits. Development files.