How to Install and Uninstall rapidfuzz-cpp-devel.i686 Package on Fedora 39

Last updated: November 14,2024

1. Install "rapidfuzz-cpp-devel.i686" package

This guide let you learn how to install rapidfuzz-cpp-devel.i686 on Fedora 39


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                rapidfuzz-cpp-devel.i686
            
                    
    
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2. Uninstall "rapidfuzz-cpp-devel.i686" package

This guide let you learn how to uninstall rapidfuzz-cpp-devel.i686 on Fedora 39:


    
        
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                sudo dnf remove
            
                        
                rapidfuzz-cpp-devel.i686
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the rapidfuzz-cpp-devel.i686 package on Fedora 39

Last metadata expiration check: 3:41:30 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : rapidfuzz-cpp-devel
Version : 1.10.4
Release : 3.fc39
Architecture : i686
Size : 68 k
Source : rapidfuzz-cpp-1.10.4-3.fc39.src.rpm
Repository : fedora
Summary : Development files for the RapidFuzz C++ library
URL : https://github.com/maxbachmann/rapidfuzz-cpp
License : MIT
Description :
: RapidFuzz is a fast string matching library for Python and C++, which is using
: the string similarity calculations from FuzzyWuzzy. However there are two
: aspects that set RapidFuzz apart from FuzzyWuzzy:
:
: 1. It is MIT licensed so it can be used whichever License you might want to
: choose for your project, while you're forced to adopt the GPL license when
: using FuzzyWuzzy
:
: 2. It is mostly written in C++ and on top of this comes with a lot of
: Algorithmic improvements to make string matching even faster, while still
: providing the same results.
:
: This is the C++ component of RapidFuzz, the Python library is available in the
: python-rapidfuzz package.