How to Install and Uninstall python-peak.rules Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 18,2024

1. Install "python-peak.rules" package

Here is a brief guide to show you how to install python-peak.rules on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-peak.rules
            
                    
    
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2. Uninstall "python-peak.rules" package

Here is a brief guide to show you how to uninstall python-peak.rules on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-peak.rules
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-peak.rules package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-peak.rules
Priority: optional
Section: universe/python
Installed-Size: 245
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Version: 0.5a1+r2713-1
Provides: python-prioritized-methods
Depends: python-peak.util, python-peak.util.decorators, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Filename: pool/universe/p/python-peak.rules/python-peak.rules_0.5a1+r2713-1_all.deb
Size: 110652
MD5sum: cf5c6c6ef35d66aebb137061f601ebe8
SHA1: f3cefb35b0ba9b47255f600f78c9c252f43c3cf1
SHA256: 058cd8098c799ea28c9600f44b2fe02b934bcc55401a1a3e91b56d82b0cb9381
Description-en: generic functions support for Python
PEAK-Rules is a highly-extensible framework for creating and using
generic functions in Python.
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PEAK-Rules supports out of the box: multiple-dispatch on positional
arguments using tuples of types, full predicate dispatch using
strings containing Python expressions, and CLOS-like method
combining. Additionally, PEAK-Rules allows one to mix and match dispatch
engines and custom method combinations.
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This package also provides some third party contribution over
PEAK-Rules, in particular:
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* prioritized_methods - prioritize methods to resolve dispatch ambiguities
Description-md5: 3a1915b223adb12d594d0f1be180a3b8
Homepage: http://pypi.python.org/pypi/PEAK-Rules
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu