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            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython"
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        "description": "Python Data Classes\n===================\n\nPython Data Classes support Python 2 and 3 with many human-friendly features.\n\nThis project has been tested in Python 2.7 and Python 3.4+.\nIt is not related to the ``dataclasses`` module introduced in Python 3.7.\n\n\nFeature Support\n---------------\n\nPython Data Classes generally support\n\n- untyped data, typed data, and typed data list\n- arbitrary attribute names in the dictionary input\n- no python attribute naming conflict or pollution\n- lazy and auto object creation on-the-fly\n- lazy loading of the dict input (default: enabled)\n- synchronous updates of the dict input (default: disabled)\n\n\nGetting Started\n---------------\n\n- Install the Python Data Classes\n\n.. code-block::\n\n    pip install pydataclasses\n\n\n- Create the Python Data Classes\n\n.. code-block:: python\n\n    from pydataclasses import DataClass\n\n\n    class TT(DataClass):\n\n        attr = None\n\n\n    class ONCE(DataClass):\n\n        data = None\n\n\n    class TWICE(ONCE):\n\n        tear = TT\n        tears = [TT]\n\n        def __init__(self, *args, **kwargs):\n\n            super(TWICE, self).__init__(*args, **kwargs)\n\n            self.pair = TWICE\n            self.pairs = [TWICE]\n\n\n- Play with the Python Data Classes\n\n.. code-block:: python\n\n    old_data = 'hello'\n    new_data = 'world'\n    old_dict = {'data': old_data}\n    new_dict = {'data': new_data}\n\n    # lazy and auto object creation on-the-fly\n    twice = TWICE()\n    assert twice.pairs[1].tear.attr is None\n    twice.pairs[1].tear.attr = old_data\n    assert old_data == twice.pairs[1].tear.attr\n\n    # lazy loading of the dict input (default: enabled)\n    twice = TWICE(old_dict)\n    assert old_data == twice.data\n    assert old_dict == twice.__as_dict__(dict, 0)\n\n    # synchronous updates of the dict input (default: disabled)\n    assert old_dict != new_dict\n    twice = TWICE(old_dict, __sync__=True)\n    twice.data = new_data\n    assert old_dict == new_dict\n\n\nBest Practices\n---------------\n\nPlease\n\n- read and refer to ``pydataclasses.utils.JSONData`` as an example\n- put a tailored subclass between ``pydataclasses`` and your project\n- write (or copy from ``pydataclasses``) as many tests as possible for this subclass\n\n.. code-block:: python\n\n    from pydataclasses import DataClass\n\n\n    class ProjectDataClass(DataClass):\n\n        def as_dict(self, dict_class=OrderedDict):\n            return self.__as_dict__(dict_class, 0)\n\n\n.. :changelog:\n\nRelease History\n---------------\n\n1.0.1 (2019-05-04)\n++++++++++++++++++\n\n- Bump the version again\n\n1.0.1 (2019-05-04)\n++++++++++++++++++\n\n- Bump the version\n\n1.0.0 (2019-05-04)\n++++++++++++++++++\n\n- Support the annotations of native dataclasses\n\n0.0.2 (2018-08-28)\n++++++++++++++++++\n\n- Fix the python packaging issues\n- Add the tox, pylint, pytest, coverage tools\n\n0.0.1 (2018-08-26)\n++++++++++++++++++\n\n- Birthday\n\n\n",
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