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    "info": {
        "author": "Florian Brucker",
        "author_email": "mail@florianbrucker.de",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: Danish",
            "Natural Language :: Dutch",
            "Natural Language :: English",
            "Natural Language :: Finnish",
            "Natural Language :: French",
            "Natural Language :: German",
            "Natural Language :: Italian",
            "Natural Language :: Norwegian",
            "Natural Language :: Portuguese",
            "Natural Language :: Russian",
            "Natural Language :: Spanish",
            "Natural Language :: Swedish",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Topic :: Database",
            "Topic :: Internet :: WWW/HTTP :: Indexing/Search",
            "Topic :: Text Processing :: Indexing",
            "Topic :: Text Processing :: Linguistic"
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        "description": "*purestemmer* - A pure-Python implementation of the Snowball stemmers\n#####################################################################\nThe traditional way of using the `Snowball stemmers`_ in Python is via\nthe pystemmer_ package, which provides a Python wrapper around the\nSnowball C library. However, Python C extensions are problematic in\nsome environments. Therefore, this package provides pure-Python\nimplementations of the Snowball stemming algorithms.\n\nThe implementations of the stemming algorithms is translated from the\nSnowball language to Python via sbl2py_.\n\n.. _`Snowball stemmers`: http://snowball.tartarus.org/\n.. _pystemmer: https://pypi.python.org/pypi/PyStemmer\n.. _sbl2py: https://pypi.python.org/pypi/sbl2py\n\n\nInstallation\n============\nInstalling *purestemmer* is easy using pip_::\n\n    pip install purestemmer\n\n.. _pip: http://pip.readthedocs.org/en/latest/index.html\n\n\nUsage\n=====\nUsually, you'll prefer to use the *pystemmer* module whenever that is\npossible, because it's much faster than *purestemmer*::\n\n    try:\n        import Stemmer\n    except ImportError:\n        # pystemmer is not available, use purestemmer instead\n        import purestemmer as Stemmer\n\nSince *purestemmer* has the same public API and provides the same\nalgorithms as *pystemmer*, there should be no need to change any code\nwhen switching between *pystemmer* and *purestemmer* like this.\n\nPlease see the *pystemmer* documentation for details on how to use the\nstemming algorithms.\n\n\nDifferences between *purestemmer* and *pystemmer*\n=================================================\n* *purestemmer* has only been tested on Python 2.7\n* ``purestemmer.Stemmer`` instances are thread-safe\n* *purestemmer* is on average about 100x slower than *pystemmer*\n\n\nLicense\n=======\n*purestemmer* itself is covered by the `MIT License`_. The underlying\nSnowball algorithms are covered by the `BSD-3 License`_. Please see the\n``LICENSE`` file for details.\n\n.. _`MIT License`: http://opensource.org/licenses/MIT\n.. _`BSD-3 License`: http://opensource.org/licenses/BSD-3-Clause\n",
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