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    "info": {
        "author": "Hong Minhee",
        "author_email": "hongminhee@member.fsf.org",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.5",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: Jython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Programming Language :: Python :: Implementation :: Stackless"
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        "description": "TypeQuery\n=========\n\n.. note::\n\n   Since Python 3.3 there's ``functools.singledispatch()`` function\n   which does the similar work in the standard library.  We recommend\n   you to use it instead of this.\n\n   See also `PEP 443`_.\n\n.. image:: https://drone.io/bitbucket.org/dahlia/typequery/status.png\n   :alt: Build Status\n   :target: https://drone.io/bitbucket.org/dahlia/typequery/latest\n\nIt provides a simple and dirty way to define generic methods to existing\ntypes.  You can make overloaded methods using this.\n\n.. _PEP 443: http://www.python.org/dev/peps/pep-0443/\n\n\nCompatibility\n-------------\n\nTypeQuery does not depend on any non-standard libraries.  It works on\nthese environments:\n\n- Python 2.5--2.7, 3.2--3.5\n- CPython, Stackless, PyPy, Jython\n\n\nInstall\n-------\n\nInstall using ``pip``::\n\n    $ pip install TypeQuery\n\n\nExample: JSON encoder\n---------------------\n\n::\n\n    from typequery import GenericMethod\n    from sys import version_info\n    from re import sub\n    from numbers import Real\n    from collections import Mapping, Iterable\n\n    if version_info.major > 2:\n        basestring = string = str\n    else:\n        string = unicode\n\n    json = GenericMethod('json')\n\n    @json.of(type(None))\n    def json(value):\n        return 'null'\n\n    @json.of(bool)\n    def json(value):\n        return 'true' if value else 'false'\n\n    @json.of(Real)\n    def json(value):\n        return str(value)\n\n    @json.of(string)\n    def json(value):\n        def escape(match):\n            s = match.group(0)\n            if s in ('\\\\', '\"', '\\b', '\\f', '\\n', '\\r', '\\t'):\n                return '\\\\' + s\n            n = ord(s)\n            if n < 0x10000:\n                return r'\\u%04x' % n\n            n -= 0x10000\n            s1 = 0xd800 | ((n >> 10) & 0x3ff)\n            s2 = 0xdc00 | (n & 0x3ff)\n            return r'\\u%04x\\u%04x' % (s1, s2)\n        return '\"%s\"' % sub(r'([\\\\\"]|[^\\ -~])', escape, value)\n\n    @json.of(Iterable)\n    def json(value):\n        return '[%s]' % ', '.join(json(element) for element in value)\n\n    @json.of(Mapping)\n    def json(value):\n        return '{%s}' % ', '.join('%s: %s' % (json(string(key)), json(value))\n                                  for key, value in value.items())\n\nAnd defined ``json`` function works like:\n\n>>> json(123)\n'123'\n>>> json(True)\n'true'\n>>> json({'apple': 3, 'banana': 5, 'carrot': 1})\n'{\"apple\": 3, \"banana\": 5, \"carrot\": 1}'\n\nAs the above shows, you can define type-aware instance methods to existing\ntypes even including ABCs like ``collections.Iterable``.\n\n\nAuthor and license\n------------------\n\nWritten by `Hong Minhee <http://dahlia.kr/>`_.  Distributed under `MIT license\n<http://minhee.mit-license.org/>`_.  You can find the source code from the\n`Bitbucket repository <https://bitbucket.org/dahlia/typequery>`_::\n\n    $ hg clone https://bitbucket.org/dahlia/typequery\n\n\nChangelog\n---------\n\nVersion 0.1.5\n'''''''''''''\n\nReleased on June 23, 2016.\n\n- Compatibility with recent Python versions: Python 3.3 to 3.5, and PyPy3.\n\n\nVersion 0.1.4\n'''''''''''''\n\nReleased on October 18, 2012.\n\n- Don't use bitbucket-distutils_ anymore to prevent several headaches\n  related packaging and distribution.\n\n.. _bitbucket-distutils: https://bitbucket.org/dahlia/bitbucket-distutils\n\n\nVersion 0.1.3\n'''''''''''''\n\nReleased on August 29, 2012.\n\n- Fixed a bug of handling multiple types by one function.\n  [`#2 <https://bitbucket.org/dahlia/typequery/issue/2/>`_]\n\n\nVersion 0.1.2\n'''''''''''''\n\nReleased on August 15, 2012.\n\n- You can inherit existing generic methods using ``GenericMethod.inherit()``\n  method.\n- Added ``with_receiver`` option for ``GenericMethod.of()`` decorator and\n  ``Decorator`` constructor.\n\n\nVersion 0.1.1\n'''''''''''''\n\nReleased on May 22, 2012.\n\n- Now it works well with abstract base classes other than ``abc.ABCMeta``.\n- Fixed a bug of ``GenericMethod.clone()`` method.  It does not reflect\n  cloned one's changes to the original anymore.\n  [`#1 <https://bitbucket.org/dahlia/typequery/issue/1/>`_]\n\n\nVersion 0.1.0\n'''''''''''''\n\nReleased on May 21, 2012.\n\n- Initial release.",
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