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        "author": "Peter Lithammer",
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            "Development Status :: 5 - Production/Stable",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.6",
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            "Programming Language :: Python :: 3.4",
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        "description": "Jump Consistent Hash\n--------------------\n\n.. image:: https://travis-ci.org/lithammer/python-jump-consistent-hash.svg?branch=master\n   :alt: Build Status\n   :target: https://travis-ci.org/lithammer/python-jump-consistent-hash\n\nPython implementation of the jump consistent hash algorithm by John Lamping and\nEric Veach[1]. Tested on Python 2.6, 2.7 and 3.4+.\n\nInstall\n-------\n\nTo install Jump Consistent Hash, simply run this simple command in your\nterminal of choice::\n\n   $ pip install jump-consistent-hash\n\nUnless running PyPy the installation will try to compile the C++ reference\nimplementation (unless an appropriate wheel is available). If it fails it will\nfallback to the pure Python implementation which is about 10x slower on\nCPython.\n\nUsage\n`````\n\n.. code:: python\n\n   >>> import jump\n   >>> jump.hash(256, 1024)\n   520\n\nIf you want to use a ``str`` as a key instead of an ``int``, you can pass it\nthrough a hash function to compute a real key. Here's a couple of examples\nusing Python 3:\n\n.. code:: python\n\n   >>> import hashlib\n   >>> int(hashlib.md5(b'127.0.0.1').hexdigest(), 16)\n   325870950296970981340734819828239218902\n\n   >>> int(hashlib.sha1(b\"127.0.0.1\").hexdigest(), 16)\n   431133456357828263809343936597625557575256328153\n\n   >>> import binascii\n   >>> binascii.crc32(b'127.0.0.1') & 0xffffffff\n   3619153832\n\n   >>> abs(hash('127.0.0.1'))\n   7536019783825143230\n\nLinks\n`````\n\n[1] http://arxiv.org/pdf/1406.2294v1.pdf\n\n\n",
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