How to Install and Uninstall libuninum.i686 Package on Fedora 38

Last updated: November 29,2024

1. Install "libuninum.i686" package

Please follow the instructions below to install libuninum.i686 on Fedora 38


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                libuninum.i686
            
                    
    
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2. Uninstall "libuninum.i686" package

This tutorial shows how to uninstall libuninum.i686 on Fedora 38:


    
        
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                sudo dnf remove
            
                        
                libuninum.i686
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
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3. Information about the libuninum.i686 package on Fedora 38

Last metadata expiration check: 2:54:34 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : libuninum
Version : 2.7
Release : 33.fc38
Architecture : i686
Size : 71 k
Source : libuninum-2.7-33.fc38.src.rpm
Repository : fedora
Summary : Library for converting unicode strings to numbers
URL : http://billposer.org/Software/libuninum.html
License : GPLv2 and LGPLv2
Description : libuninum is a library for converting Unicode strings to
: numbers. Internal computation is done using arbitrary precision
: arithmetic, so there is no limit on the size of the integer that can
: be converted. The value is returned as an ASCII decimal string, a GNU
: MP object, or an unsigned long integer. Auto-detection of the number
: system is provided. The number systems supported include Arabic,
: Armenian, Balinese, Bengali, Burmese, Chinese, Cyrillic, Devanagari,
: Egyptian, Ethiopic, Glagolitic, Greek, Gujarati, Gurmukhi, Hebrew,
: Kannada, Khmer, Klingon, Lao, Limbu, Malayalam, Mongolian, New Tai
: Lue, Nko, Old Italic, Old Persian, Odia, Osmanya, Perso-Arabic,
: Phoenician, Roman Numerals, Tamil, Telugu, Tengwar, Thai, and Tibetan.