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        "author": "Patrick Dill",
        "author_email": "jamespatrickdill@gmail.com",
        "bugtrack_url": null,
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.0",
            "Programming Language :: Python :: 3.1",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
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        "description": "struction\n---------\nPythonic, yet C-Style structs/unions.\n\nStructs are similar to namedtuples, but they allow type assertion and are defined the same way as any class. Creating\na struct is easy.\n\n``$ pip install struction``\n\n.. code-block:: python\n\n    from struction import Struct, default, between, clamp\n\n    class MyStruct(Struct):\n        # any types specified *must* be a class/type\n        field_0 = int\n        field_1 = str\n\n        # you can also allow multiple types\n        multi_type = int, str\n\n        # and default values!\n        with_default = int, default(10)\n\n        with_multi_and_default = int, str, default(10)\n\n        # it's also possible to set a specific range for fields\n        with_range = int, float, between(1, 10)  # setting this to a value < 1 or > 10 will raise ValueError\n\n        # or, values can be clamped to a range\n        with_clamp = int, float, clamp(-5, 5)  # setting this to any value outside of range will clamp it\n\n\nOnce a struct is created, it's fields can be changed, but they must match the given type or\na TypeError will be raised. Using ``del`` on a field resets it to its default value.\n\nIt's also possible to nest structs.\nAny structs that are nested will automatically be initialized.\n\n\n.. code-block:: python\n\n    class NestMe(Struct):\n        field_0 = int\n        field_1 = int\n\n\n    class Nester(Struct):\n        abc = str\n        nest = OnlyInt  # nested struct\n\n\n.. code-block:: python\n\n    >>> print(Nester())\n    # Nester {\n    #     abc = None\n    #     nest = OnlyInt {\n    #         field_0 = None\n    #         field_1 = None\n    #     }\n    # }\n\n    >>> print(Nester(nest=None))\n    # Nester {\n    #     abc = None\n    #     nest = None\n    # }\n\nIf you don't want strict types, you can also use a ``TypecastingStruct``. This will attempt to typecast the given value\nto the field's type. If it can't be typecasted, it will then raise a TypeError.\n\n.. code-block:: python\n\n    from struction import TypecastingStruct\n\n    class Test(TypecastingStruct):\n        i = int\n        f = float\n        s = str\n        all = float, int, str\n\n.. code-block:: python\n\n    >>> test = Test()\n    >>> test.i = 5.3\n    >>> test.f = 100\n    >>> test.s = {\"a\": 1, \"b\":2}\n    >>> print(test)\n    # Struct Test {\n    #     all = None\n    #     f = 100.0\n    #     i = 5\n    #     s = \"{'a': 1, 'b': 2}\"\n    # }\n    >>> # If multiple types are allowed for a field, the value will be\n    >>> # casted to the first type that doesn't throw an Exception\n    >>> test.all = (\"a\", 1, \"b\", 2, \"c\", 3)\n    >>> test.all\n    # '(\"a\", 1, \"b\", 2, \"c\", 3)'\n\n**Note:** Typecasting only works at runtime. The values still need to match their types at class definition.\n\nReference\n---------\nThese can be applied to any Struct class.\n\n- ``Struct.dict()`` : dict with struct's fields. {name: value, ...}\n- ``Struct.fields()`` : list of fields struct has.\n- ``str(Struct)`` : Multi-line representation of struct.\n- ``repr(Struct)`` : Single line representation of struct.",
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