How to Install and Uninstall python312-aioeventlet Package on openSuSE Tumbleweed

Last updated: December 25,2024

1. Install "python312-aioeventlet" package

This guide covers the steps necessary to install python312-aioeventlet on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python312-aioeventlet
            
                    
    
    Copied

2. Uninstall "python312-aioeventlet" package

This is a short guide on how to uninstall python312-aioeventlet on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python312-aioeventlet
            
                    
    
    Copied

3. Information about the python312-aioeventlet package on openSuSE Tumbleweed

Information for package python312-aioeventlet:
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Repository : openSUSE-Tumbleweed-Oss
Name : python312-aioeventlet
Version : 0.5.2-4.6
Arch : noarch
Vendor : openSUSE
Installed Size : 58.3 KiB
Installed : No
Status : not installed
Source package : python-aioeventlet-0.5.2-4.6.src
Upstream URL : https://pypi.org/project/aioeventlet/
Summary : Asyncio event loop scheduling callbacks in eventlet
Description :
aioeventlet implements the asyncio API (PEP 3156) on top of eventlet. It makes
possible to write asyncio code in a project currently written for eventlet.
aioeventlet allows to use greenthreads in asyncio coroutines, and to use
asyncio coroutines, tasks and futures in greenthreads: see ``link_future()``
and ``wrap_greenthread()`` functions.
The main visible difference between aioeventlet and trollius is the behaviour
of ``run_forever()``: ``run_forever()`` blocks with trollius, whereas it runs
in a greenthread with aioeventlet. It means that aioeventlet event loop can run
in an greenthread while the Python main thread runs other greenthreads in
parallel.