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        "description": "PyEClib\n-------\n\nThis library provides a simple Python interface for implementing erasure codes\nand is known to work with Python v2.6, 2.7 and 3.x. To obtain the best possible\nperformance, the library utilizes liberasurecode, which is a C based erasure\ncode library.\n\nPyECLib supports a variety of Erasure Coding backends including the standard\nReed-Solomon implementations provided by Jerasure [1], liberasurecode [3],\nIntel's ISA-L [4] and Phazr.IO's libphazr.  It also provides support for a flat\nXOR-based encoder and decoder (part of liberasurecode) - a class of HD\nCombination Codes based on \"Flat XOR-based erasure codes in storage systems:\nConstructions, efficient recovery, and tradeoffs\" in IEEE MSST 2010[2]).\nThese codes are well-suited to archival use-cases, have a simple construction\nand require a minimum number of participating disks during single-disk\nreconstruction (think XOR-based LRC code).\n\n-----\n\nInstallation\n============\n\nInstall pre-requisites:\n\n* Python 2.6, 2.7 or 3.x (including development packages), argparse, setuptools\n* liberasurecode v1.3.1 or greater [3]\n* Erasure code backend libraries, gf-complete and Jerasure [1],[2], ISA-L [4], etc\n\nInstall dependencies:\n\nDebian/Ubuntu hosts::\n\n    $ sudo apt-get install build-essential python-dev python-pip liberasurecode-dev\n    $ sudo pip install -U bindep -r test-requirements.txt\n\nRHEL/CentOS hosts::\n    \n    $ sudo yum install -y redhat-lsb python2-pip python-devel liberasurecode-devel\n    $ sudo pip install -U bindep -r test-requirements.txt\n    $ tools/test-setup.sh\n\nIf you want to confirm all dependency packages installed successfully, try::\n\n    $ sudo bindep -f bindep.txt\n\n*Note*: Currently, for Ubuntu, liberasurecode-dev in package repo is older than v1.2.0.\nFor CentOS, make sure to install the latest Openstack Cloud SIG repo\nto be able to install the latest available version of liberasurecode-devel.\n\nInstall PyECLib::\n\n    $ sudo python setup.py install\n\nRun test suite included::\n\n    $ ./.unittests\n\nIf the test suite fails because it cannot find any of the shared libraries,\nthen you probably need to add /usr/local/lib to the path searched when loading\nlibraries.  The best way to do this (on Linux) is to add '/usr/local/lib' to::\n\n    /etc/ld.so.conf\n\nand then make sure to run::\n\n    $ sudo ldconfig\n\n-----\n\nGetting started\n===============\n\nExamples of using PyECLib are provided in the \"tools\" directory:\n\nCommand-line encoder::\n\n    tools/pyeclib_encode.py\n\nCommand-line decoder::\n\n    tools/pyeclib_decode.py\n\nUtility to determine what is needed to reconstruct missing fragments::\n\n    tools/pyeclib_fragments_needed.py\n\nA configuration utility to help compare available EC schemes in terms of\nperformance and redundancy::\n\n    tools/pyeclib_conf_tool.py\n\nPyEClib initialization::\n\n    ec_driver = ECDriver(k=<num_encoded_data_fragments>,\n                         m=<num_encoded_parity_fragments>,\n                         ec_type=<ec_scheme>))\n\nSupported ``ec_type`` values:\n\n* ``liberasurecode_rs_vand`` => Vandermonde Reed-Solomon encoding, software-only backend implemented by liberasurecode [3]\n* ``jerasure_rs_vand`` => Vandermonde Reed-Solomon encoding, based on Jerasure [1]\n* ``jerasure_rs_cauchy`` => Cauchy Reed-Solomon encoding (Jerasure variant), based on Jerasure [1]\n* ``flat_xor_hd_3``, ``flat_xor_hd_4`` => Flat-XOR based HD combination codes, liberasurecode [3]\n* ``isa_l_rs_vand`` => Intel Storage Acceleration Library (ISA-L) - SIMD accelerated Erasure Coding backends [4]\n* ``isa_l_rs_cauchy`` => Cauchy Reed-Solomon encoding (ISA-L variant) [4]\n* ``shss`` => NTT Lab Japan's Erasure Coding Library [5]\n* ``libphazr`` => Phazr.IO's erasure code library with built-in privacy [6]\n\n-----\n\nCode Maintenance\n================\n\nThis library is currently mainly maintained by the Openstack Swift community.\nFor questions or any other help, come ask in #openstack-swift on freenode.\n\n-----\n\nReferences\n==========\n\n[1] Jerasure, C library that supports erasure coding in storage applications, http://jerasure.org\n\n[2] Greenan, Kevin M et al, \"Flat XOR-based erasure codes in storage systems\", http://www.kaymgee.com/Kevin_Greenan/Publications_files/greenan-msst10.pdf\n\n[3] liberasurecode, C API abstraction layer for erasure coding backends, https://github.com/openstack/liberasurecode\n\n[4] Intel(R) Storage Acceleration Library (Open Source Version), https://01.org/intel%C2%AE-storage-acceleration-library-open-source-version\n\n[5] Kota Tsuyuzaki <tsuyuzaki.kota@lab.ntt.co.jp>, \"NTT SHSS Erasure Coding backend\"\n\n[6] Jim Cheung <support@phazr.io>, \"Phazr.IO libphazr erasure code backend with built-in privacy\"",
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        "maintainer": "Kevin Greenan and Tushar Gohad",
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