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        "author": "Franz Steinmetz",
        "author_email": "franz.steinmetz@dlr.de",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Framework :: Django",
            "Framework :: Flask",
            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Internet :: WWW/HTTP",
            "Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Software Development :: Object Brokering",
            "Topic :: Utilities"
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        "description": "The ``jsonconversion`` package\n==============================\n\nThis python module helps converting arbitrary Python objects into JSON strings and back. It extends the basic features\nof the ``JSONEncoder`` and ``JSONDecoder`` classes provided by the native ``json`` package. For this purpose,\n``jsonconversion`` ships with these four classes:\n\nThe ``JSONObject`` class\n------------------------\n\nYour serializable classes should inherit from this class. Hereby, they must implement the methods ``from_dict`` and\n``to_dict``. The example further down describes how to do so.\n\nThe ``JSONExtendedEncoder`` class\n---------------------------------\n\nThis is a class used internally by ``JSONObjectEncoder``. However, it can also be used directly, if you do not need the\nfeatures of ``JSONObjectEncoder`` but want to implement your own encoders.\n\nThe class is especially helpful, if you want custom handling of builtins (``int``, ``dict``, ...) or classes deriving\nfrom builtins. This would not be possible if directly inheriting from ``JSONEncoder``. To do so, override the\n``isinstance`` method and return ``False`` for all types you want to handle in the ``default`` method.\n\nIf you look at the source code of ``JSONObjectEncoder``, you will see how this can be used.\n\nThe ``JSONObjectEncoder`` class\n-------------------------------\n\nEncodes Python objects into JSON strings. Supported objects are:\n\n-  Python builtins: ``int``, ``float``, ``str``, ``list``, ``set``, ``dict``, ``tuple``\n-  ``type`` objects: ``isinstance(object, type)``\n-  All classes deriving from ``JSONObject``\n\nThose objects can of course also be nested!\n\nThe ``JSONObjectDecoder`` class\n-------------------------------\n\nDecodes JSON strings converted using the ``JSONObjectEncoder`` back to Python objects.\n\nThe class adds a custom keyword argument to the ``load[s]`` method: ``substitute_modules``. This parameter takes a\n``dict`` in the form ``{\"old.module.MyClass\": \"new.module.MyClass\"}``. It can be used if you have serialized\n``JSONObject``\\s who's module path has changed.\n\nUsage\n=====\n\nUsing ``jsonconversion`` is easy. You can find further code examples in the ``test`` folder.\n\nEncoding and Decoding\n---------------------\n\nIn order to encode Python objects with JSON conversion and to later decode them, you have to import the Python module\n``json``. The module provides the methods ``dump``/``dumps`` for encoding and ``load``/``loads`` for decoding:\n\n.. code:: python\n\n    import json\n\n    from jsonconversion.decoder import JSONObjectDecoder\n    from jsonconversion.encoder import JSONObjectEncoder\n\n    var = (1, 2, 3)  # variable to be serialized\n\n    # \"dumps\" converts the variable to a string, \"dump\" directly writes it to a file\n    str_var = json.dumps(var, cls=JSONObjectEncoder)\n    # Equivalently, \"loads\" converts the object back from a string. \"load\" from a file\n    var_2 = json.loads(str_var, cls=JSONObjectDecoder)\n    assert var == var_2\n\nDeriving from JSONObject\n------------------------\n\nIn order to serialize arbitrary, self-written classes, they must derive from ``JSONObject`` and implement the two\nmethods ``from_dict`` and ``to_dict``:\n\n.. code:: python\n\n    class MyClass(JSONObject):\n\n        def __init__(self, a, b, c):\n            self.a = a\n            self.b = b\n            self.c = c\n\n        @classmethod\n        def from_dict(cls, dict_):\n            return cls(dict_['a'], dict_['b'], dict_['c'])\n\n        def to_dict(self):\n            return {'a': self.a, 'b': self.b, 'c': self.c}\n\n        def __eq__(self, other):\n            return self.a == other.a and self.b == other.b and self.c == other.c\n\nGeneral notes\n-------------\n\n-  ``jsonconversion`` stores the class path in the JSON string when serializing a JSONObject. When decoding the object\n   back, it automatically imports the correct module. You only have to ensure that the module is within your\n   ``PYTHONPATH``.\n\n-  The ``to_dict`` and ``from_dict`` methods only need to specify the elements of a class, needed to recreate the\n   object. Derived attributes of a class (like ``age`` from ``year_born``) do not need to be serialized.\n\n-  If you compare the original object with the object obtained from serialization and deserialization using ``is``, they\n   will differ, as these are objects at different locations in memory. Also a comparison of JSONObject with ``==`` will\n   fail, if you do not tell Python how to compare two objects. This is why ``MyClass`` overrides the ``__eq__`` method.",
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        "license": "BSD",
        "maintainer": "Franz Steinmetz",
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