How to Install and Uninstall python3-aioeventlet Package on openSUSE Leap

Last updated: January 11,2025

1. Install "python3-aioeventlet" package

This tutorial shows how to install python3-aioeventlet on openSUSE Leap


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python3-aioeventlet
            
                    
    
    Copied

2. Uninstall "python3-aioeventlet" package

Here is a brief guide to show you how to uninstall python3-aioeventlet on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python3-aioeventlet
            
                    
    
    Copied

3. Information about the python3-aioeventlet package on openSUSE Leap

Information for package python3-aioeventlet:
--------------------------------------------
Repository : Main Repository
Name : python3-aioeventlet
Version : 0.5.2-bp155.2.10
Arch : noarch
Vendor : openSUSE
Installed Size : 43.6 KiB
Installed : No
Status : not installed
Source package : python-aioeventlet-0.5.2-bp155.2.10.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.