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

Last updated: December 30,2024

1. Install "python312-lazyarray" package

Please follow the guidance below to install python312-lazyarray on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python312-lazyarray
            
                    
    
    Copied

2. Uninstall "python312-lazyarray" package

This tutorial shows how to uninstall python312-lazyarray on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python312-lazyarray
            
                    
    
    Copied

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

Information for package python312-lazyarray:
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-lazyarray
Version : 0.5.2-1.9
Arch : noarch
Vendor : openSUSE
Installed Size : 94.1 KiB
Installed : No
Status : not installed
Source package : python-lazyarray-0.5.2-1.9.src
Upstream URL : http://github.com/NeuralEnsemble/lazyarray/
Summary : Lazily-evaluated numerical array class, compatible with NumPy arrays
Description :
lazyarray is a Python package that provides a lazily-evaluated numerical array
class, larray, based on and compatible with NumPy arrays.
Lazy evaluation means that any operations on the array (potentially including
array construction) are not performed immediately, but are delayed until
evaluation is specifically requested. Evaluation of only parts of the array is
also possible.
Use of an larray`can potentially save considerable computation time
and memory in cases where:
* arrays are used conditionally (i.e. there are cases in which the array is
never used)
* only parts of an array are used (for example in distributed computation,
in which each MPI node operates on a subset of the elements of the array)