How to Install and Uninstall python3-sabyenc Package on Kali Linux

Last updated: April 29,2024

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

1. Install "python3-sabyenc" package

This guide let you learn how to install python3-sabyenc on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-sabyenc
            
                    
    
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2. Uninstall "python3-sabyenc" package

Please follow the instructions below to uninstall python3-sabyenc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-sabyenc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-sabyenc package on Kali Linux

Package: python3-sabyenc
Source: python-sabyenc (5.4.3-1)
Version: 5.4.3-1+b1
Installed-Size: 195
Maintainer: Jeroen Ploemen
Architecture: amd64
Depends: libc6 (>= 2.16), libstdc++6 (>= 4.1.1), python3 (<< 3.11), python3 (>= 3.10~)
Breaks: sabnzbdplus (<< 3.6.0~)
Size: 62064
SHA256: 32ac064b45729a3a6b8ae67bfd691e9e1416128b152257bb71e638737fb68bdb
SHA1: 03883dbf4c1997f08f010adf682ce68eeb48b319
MD5sum: 5ddc422c94ec14145b63e23380ea3962
Description: yEnc extension for Python, optimized for Usenet
Modified version of the original python-yenc module by Alessandro Duca,
optimized for use within SABnzbd. The module was extended to do header
parsing and full yEnc decoding from a Python list of chunks, the way in
which data is retrieved from usenet.
.
This is particularly beneficial when SSL is enabled, which limits the
size of each chunk to 16K. Parsing these chunks in Python is much more
costly. Additionally, this module releases Python's GIL during decoding,
greatly increasing performance of the overall download process.
.
Further improved by using yencode from animetosho, which utilizes x86
and ARM SIMD optimised routines if such CPU features are available.
Description-md5: 0c93bbd969510fb70bc5c324c5188442
Multi-Arch: same
Homepage: https://github.com/sabnzbd/sabyenc
Section: python
Priority: optional
Filename: pool/main/p/python-sabyenc/python3-sabyenc_5.4.3-1+b1_amd64.deb