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

Last updated: November 22,2024

1. Install "python-pyeclib" package

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


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-pyeclib
            
                    
    
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2. Uninstall "python-pyeclib" package

Learn how to uninstall python-pyeclib on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: python-pyeclib
Priority: optional
Section: python
Installed-Size: 107
Maintainer: Ubuntu Developers
Original-Maintainer: PKG OpenStack
Architecture: amd64
Version: 1.2.0-1
Depends: python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.4), liberasurecode1
Pre-Depends: dpkg (>= 1.15.6~)
Suggests: libjerasure2
Filename: pool/main/p/python-pyeclib/python-pyeclib_1.2.0-1_amd64.deb
Size: 24112
MD5sum: 4c52b60301e088edd3413e01735a6efd
SHA1: a770529866551df44bdc90ddcfe7378c4729a092
SHA256: f64e41c2e161f9067f0a34084a86eadbf571300e63c8c501eba4c66be3c7a2a5
Description-en: interface for implementing erasure codes - Python 2.x
This library provides a simple Python interface for implementing erasure
codes. To obtain the best possible performance, the underlying erasure code
algorithms are written in C.
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This library makes use of Jerasure for Reed-Solomon and provides its own flat
XOR-based erasure code encoder and decoder. Currently, it implements a
specific class of HD Combination Codes (see "Flat XOR-based erasure codes in
storage systems: Constructions, efficient recovery, and tradeoffs" in IEEE
MSST 2010). These codes are well-suited to archival use-cases, have a simple
construction and require a minimum number of participating disks during
single-disk reconstruction (think XOR-based LRC code).
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This package contains the Python 2.x module.
Description-md5: 3451c79f8bdf1f7a39cd1d1bf91e33ba
Homepage: https://bitbucket.org/kmgreen2/pyeclib
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Supported: 5y