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    "info": {
        "author": "Nicolas Crocfer",
        "author_email": "ncrocfer@gmail.com",
        "bugtrack_url": null,
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4"
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        "description": "similar - A similar text finder written in Python \n=================================================\n\n.. image:: https://travis-ci.org/ncrocfer/similar.svg?branch=master\n    :target: https://travis-ci.org/ncrocfer/similar\n\n\n:code:`similar` is a Python library used to find the correct spelling from a misspelled text.\n\nUsage\n-----\n\n.. code-block:: python\n\n    >>> from similar import best_match\n    >>> best_match('rasbery', ['apple', 'raspberry', 'pear'])\n    raspberry\n\n\nInstallation\n------------\n\nThe tool works with Python 2 and Python 3. It can be installed with `Pip` :\n\n::\n\n    pip install similar\n\n\nNotes\n-----\n\nYou can also use a file object for the wordlist :\n\n.. code-block:: python\n\n    from similar import Similar\n\n    s = Similar('rasbery', open('wordlist.txt'))\n    print(s.best())\n\n\nOr a generator :\n\n.. code-block:: python\n\n    from similar import Similar\n\n    def genwords():\n        for line in ['apple', 'raspberry', 'pear']:\n            yield line\n\n    s = Similar('rasbery', genwords())\n    print(s.best())",
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