{
    "info": {
        "author": "Micha\u0142 Kaczmarczyk",
        "author_email": "michal.s.kaczmarczyk@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
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            "Programming Language :: Python",
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        "description": "## matiz\n\nPython's 3.7 dataclasses got maried with pyyaml.\n\n## Installation:\n```sh\npip install matiz\n```\n\n## Usage example:\n\n```py\nimport dataclasses\nimport matiz\nfrom matiz import fields\n\n@dataclasses.dataclass\nclass Some(matiz.ObsoleteAble):\n    id: int = fields.Integer()\n    mac: str = fields.MacAddress()\n    ip: str = fields.IPv4()\n    version: int = fields.Integer(default=411)\n\n```\nNow the `Some` object can be created as a pure python object (thanks to `dataclass`)\nit is equipped with `__init__`, `__repr__`, `__eq__` and some other methods. \n\n```py\n>>> obj = Some(123, 'aa:bb:cc:11:22:33', '192.168.11.6')\n>>> obj\nSome(id=123, mac='aa:bb:cc:11:22:33', ip='192.168.11.6', version=411)\n\n>>> print(obj)\n!iz/Some\nid: 123\nip: 192.168.11.6\nmac: aa:bb:cc:11:22:33\nversion: 411\n```\n\nIt's attributes are regular python attributes:\n```py\n>>> obj.id\n123\n\n>>> obj.mac\n'aa:bb:cc:11:22:33'\n\n>>> obj.ip\n'192.168.11.6'\n\n>>> obj.version = 0  # can be assigned\n>>> print(repr(obj))\nInts(id=123, mac='aa:bb:cc:11:22:33', ip='192.168.11.6', version=0)\n```\n\nIt can be also deserialized from yaml directly to the custom object:\n\n```py\n>>> yaml_string = \"\"\"\n!iz/Some\nid: 22001\nip: 12.13.14.15\nmac: aa:bb:cc:11:22:33\nversion: 0\n\"\"\"\n\n>>> import yaml\n>>> obj2 = yaml.load(yaml_string, Loader=yaml.Loader)\n>>> repr(obj2)\nSome(id=22001, mac='aa:bb:cc:11:22:33', ip='12.13.14.15', version=0)\n\n```\n\n*To be further documented...*\n\n\n",
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        "keywords": "dataclasses,dataclass,yang,validation,yaml,raw,binary,encoding,decoding",
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        "name": "matiz",
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        "summary": "Serves modern approach to data structures definition - with a minimal boilerplate.",
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