How to Install and Uninstall python2-PeachPy Package on openSUSE Leap

Last updated: November 23,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "python2-PeachPy" package

This guide let you learn how to install python2-PeachPy on openSUSE Leap


    
        
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                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python2-PeachPy
            
                    
    
    Copied

2. Uninstall "python2-PeachPy" package

This guide covers the steps necessary to uninstall python2-PeachPy on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python2-PeachPy
            
                    
    
    Copied

3. Information about the python2-PeachPy package on openSUSE Leap

Information for package python2-PeachPy:
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Repository : Main Repository
Name : python2-PeachPy
Version : 0.2.0~pre.1583266105.f189ad2-bp153.1.14
Arch : x86_64
Vendor : openSUSE
Installed Size : 10,6 MiB
Installed : No
Status : not installed
Source package : python-PeachPy-0.2.0~pre.1583266105.f189ad2-bp153.1.14.src
Summary : Portable Efficient Assembly Codegen in Higher-level Python
Description :
Portable Efficient Assembly Code-generator in Higher-level Python (PEACH-Py)
PEACH-Py is a Python framework for writing high-performance assembly kernels.
PEACH-Py is developed to simplify writing optimized assembly kernels while
preserving all optimization opportunities of traditional assembly. Some
PEACH-Py features:
- Automatic register allocation
- Stack frame management, including re-aligning of stack frame as needed
- Generating versions of a function for different calling conventions from
the same source (e.g. functions for Microsoft x64 ABI and System V x86-64
ABI can be generated from the same source)
- Allows to define constants in the place where they are used (just like in
high-level languages)
- Tracking of instruction extensions used in the function.
- Multiplexing of multiple instruction streams (helpful for software
pipelining)