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

Last updated: June 28,2024

1. Install "python312-pickleshare" package

Here is a brief guide to show you how to install python312-pickleshare on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python312-pickleshare
            
                    
    
    Copied

2. Uninstall "python312-pickleshare" package

Please follow the step by step instructions below to uninstall python312-pickleshare on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python312-pickleshare
            
                    
    
    Copied

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

Information for package python312-pickleshare:
----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-pickleshare
Version : 0.7.5-5.6
Arch : noarch
Vendor : openSUSE
Installed Size : 28.2 KiB
Installed : No
Status : not installed
Source package : python-pickleshare-0.7.5-5.6.src
Upstream URL : https://github.com/vivainio/pickleshare
Summary : Tiny shelve-like database with concurrency support
Description :
PickleShare - a small 'shelve' like datastore with concurrency support
Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve,
many processes can access the database simultaneously. Changing a value in
database is immediately visible to other processes accessing the same database.
Concurrency is possible because the values are stored in separate files. Hence
the "database" is a directory where *all* files are governed by PickleShare.
This module is certainly not ZODB, but can be used for low-load
(non-mission-critical) situations where tiny code size trumps the
advanced features of a "real" object database.
Installation guide: pip install path pickleshare