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python-pyeclib package

python-pyeclib 1.1.1-2 source package in Ubuntu

Changelog

python-pyeclib (1.1.1-2) unstable; urgency=medium

  * Rebuild with liberasurecode 1.1.0.

 -- Thomas Goirand <email address hidden>  Fri, 11 Dec 2015 23:54:00 +0000

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Uploaded by:
PKG OpenStack
Uploaded to:
Sid
Original maintainer:
PKG OpenStack
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
python-pyeclib_1.1.1-2.dsc 2.2 KiB 5f95a122403c3ac66127ce8ae27d74299e729f939449809ab59b57b15160edc1
python-pyeclib_1.1.1.orig.tar.xz 6.2 MiB 48560adda32d5085110728f93f46a744cea41f53c7840a8f2daf701d24d9132d
python-pyeclib_1.1.1-2.debian.tar.xz 4.0 KiB 0dbc7fccc07a6cbd56b2e641804f15c6c9f4acabd9001e208c32bcb0164c4d8d

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Binary packages built by this source

python-pyeclib: 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.
 .
 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).
 .
 This package contains the Python 2.x module.

python3-pyeclib: interface for implementing erasure codes - Python 3.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.
 .
 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).
 .
 This package contains the Python 3.x module.