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    "info": {
        "author": "David Jacquet",
        "author_email": "jacquet.david@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "Python Deep Serializer\n======================\n\n\nPackage provides for \n\n * Serializing nested Python objects. That is creating a nested dictionary from a nested Python object.\n\n * Deserializing nested Python objects, that is initializing nested Python objects with a nested dictionary.\n \n One use case is when you have a web api and users post nested json which you use to initialize (nested) Python objects.\n\n\n**Example** \n```python\nfrom pprint import pprint\n\nimport datetime\nimport typing\n\nfrom deep_serializer import des\nfrom deep_serializer.ser import ToDictEnabled\n\n\nclass Person(ToDictEnabled):\n\n    @des.cast  # casting input\n    def __init__(self, name: str, age: int):\n        self.name = name\n        self.age = age\n\n\nclass Car(ToDictEnabled):\n\n    @des.cast  # casting input\n    def __init__(self, model: str, owner: Person, color: str, registration_date: datetime.datetime,\n                 passengers: typing.List[Person] = (), miles: typing.Dict[datetime.datetime, float] = None):\n        self.miles = miles\n        self.model = model\n        self.owner = owner\n        self.color = color\n        self.registration_date = registration_date\n        self.passengers = passengers\n        self.__private_variable = 'secret'  # private attribute not serialized by todict\n\n    @property\n    def color_and_owner(self) -> str:  # property not serialized by todict\n        return '%s-%s' % (self.color, self.owner.name)\n\n\nif __name__ == '__main__':\n    car_dict = {\n        'color': 'blue',\n        'model': 'Volvo',\n        'owner': {'age': '22', 'name': 'Bob'},\n        'passengers': [{'age': 20, 'name': 'Alice'}, {'age': 19, 'name': 'Joe'}],\n        'registration_date': '2015-01-01 12:00.00',\n        'miles': {'2015-01-01 12:00.00': 0, '2016-01-01 12:00.00': '1000'}\n    }\n\n    print('\\n\\nInput')\n    pprint(car_dict)\n\n    car = Car(**car_dict)\n    print('\\n\\nCar object:\\n%s' % car)\n\n    print('\\n\\nCar as dict')\n    pprint(car.todict(), indent=4)\n```\n\n**Note that**\n * The `ToDictEnabled` adds the `todict` method which enables deep serialization.\n * The `@des.init` property tries to cast input variables according to their type hints before actual init is run.\n * The `@color_and_owner` property is not serialized.\n * The `__private_variable` attribute is not serialized.\n \n \n\nRunning main yields\n```\nInput\n{'color': 'blue',\n 'miles': {'2015-01-01 12:00.00': 0, '2016-01-01 12:00.00': '1000'},\n 'model': 'Volvo',\n 'owner': {'age': '22', 'name': 'Bob'},\n 'passengers': [{'age': 20, 'name': 'Alice'}, {'age': 19, 'name': 'Joe'}],\n 'registration_date': '2015-01-01 12:00.00'}\n\n\nCar object:\n<__main__.Car object at 0x7f4972796cf8>\n\n\nCar as dict\n{   'color': 'blue',\n    'miles': {   datetime.datetime(2015, 1, 1, 12, 0): 0.0,\n                 datetime.datetime(2016, 1, 1, 12, 0): 1000.0},\n    'model': 'Volvo',\n    'owner': {'age': 22, 'name': 'Bob'},\n    'passengers': [{'age': 20, 'name': 'Alice'}, {'age': 19, 'name': 'Joe'}],\n    'registration_date': datetime.datetime(2015, 1, 1, 12, 0)}\n```\n\n\n**Caveats**\n- Code is virtually untested, except on a few minor private projects. \n\n- Casting is far from complete. For example, the `typing.Tuple[]` type hinting does not work, and those input variables will not be casted.\n\n- Only works with Python3, only tested with Python3.6 and Python3.7.\n\n- `todict` method will not serialize attributes starting with `__` and not serialize properties.",
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