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        "author": "Stanley Nian",
        "author_email": "stanley.nian@yandex.com",
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        "description": "# Introduction\n\nThis library supports two-way data binding between JSON and Python class.\n\n# Turorial\n\nHere is a simple example to use jsonalize:\n\n```python\nfrom jsonalize import *\n\n\n# Define a class\nclass MyData(JSONObject):\n    def __init__(self):\n        JSONObject.__init__(self)\n        self.id = JSONString()\n        self.name = JSONString()\n        self.age = JSONInt()\n        self.weight = JSONFloat()\n\n\n# Create an object of MyData\nmy = MyData()\nmy.id = \"20190101\"\nmy.name = \"Stanley\"\nmy.age = 28\nmy.weight = 60\n\n# jsonalize the object\njson_str = my.to_json()\nprint(json_str)\n\n# restore the object from json\nmy2 = JSONObject.from_json(MyData, json_str)\nprint(my2.to_json())\n\n```\n\nThis example should output the following message:\n```\n{\"age\": 28, \"id\": \"20190101\", \"weight\": 60.0, \"name\": \"Stanley\"}\n{\"age\": 28, \"id\": \"20190101\", \"weight\": 60.0, \"name\": \"Stanley\"}\n```\n\nAnother example shows how to prevent creating real objects for attributes when constructing a new JSONObject instance.\n\n```python\nclass MyData(JSONObject):\n    def __init__(self):\n        JSONObject.__init__(self)\n        self.id = JSONNoneInt\n        self.name = JSONNoneString\n        self.attr = JSONObject.NoneValue(Attr)\n\n\nclass Attr(JSONObject):\n    def __init__(self):\n        JSONObject.__init__(self)\n        self.value = JSONString()\n        print(\"Attr object created\")\n\n\nmy = MyData()\nprint(my.id is None, my.name is None, my.attr is None)\n\nmy.id = 10\nmy.name = \"Stanley\"\nmy.attr = Attr()\nmy.attr.value = \"attr\"\nprint(my.to_json())\n\n# Outputs:\n# (True, True, True)\n# Attr object created\n# {\"attr\": {\"value\": \"attr\"}, \"name\": \"Stanley\", \"id\": 10}\n```\n\n\n### Key points from this tutorial\n- A serializable class should inherit the `JSONObject` class\n- Don't forget to invoke the `__init__` method in your class\n- The serializable class attributes should be set as `JSON**` types\n\n\n# List of supported JSON types\n\n- JSONInt\n- JSONLong (Only in Python 2)\n- JSONFloat\n- JSONComplex\n- JSONBool\n- JSONString\n- JSONList\n- JSONSet\n- JSONDict\n- JSONObject\n\nMost of the types can be initialized with an initial value, for example:\n```python\na_string = JSONString(\"hello jsonalize\")\n```\n\n### Remarks for JSONBool\n\nYou can't test the value of a JSONBool object with the `is` keyword, because `is` will compare the instance id of two objects, but an object of JSONBool is never an instance of `True` or `False`. \n\nYou can do the test as follows:\n```Python\na_bool = JSONBool(True)\nprint(a_bool is True, a_bool == True)\n# False, True\nprint(a_bool.true(), a_bool.true() is True, a_bool.equals(True))\n# True, True, True\n\n```\n\n\n# A more complex example\nYou can have an object of JSONObject in another JSONObject class:\n```python\nclass Monitor(JSONObject):\n    def __init__(self):\n        JSONObject.__init__(self)\n        self.size = JSONFloat()\n        self.power = JSONFloat()\n        self.color = JSONString()\n\n\nclass Computer(JSONObject):\n    def __init__(self):\n        JSONObject.__init__(self)\n        self.brand = JSONString()\n        self.monitor = Monitor()\n\n\ncomputer = Computer()\ncomputer.brand = \"Lenovo\"\ncomputer.monitor.size = 23.0\ncomputer.monitor.power = 25.0\n\njson_str = computer.to_json()\nprint(json_str)\n#{\"brand\": \"Lenovo\", \"monitor\": {\"color\": \"\", \"power\": 25.0, \"size\": 23.0}}\n\ncomputer2 = JSONObject.from_json(Computer, json_str)\nprint(computer2.to_json())\n#{\"brand\": \"Lenovo\", \"monitor\": {\"color\": \"\", \"power\": 25.0, \"size\": 23.0}}\n```\n\n# A list of JSONObject objects?\nLook at the following example:\n```python\nclass Student(JSONObject):\n    def __init__(self):\n        JSONObject.__init__(self)\n        self.id = JSONString()\n        self.name = JSONString()\n\n\nclass School(JSONObject):\n    def __init__(self):\n        JSONObject.__init__(self)\n        self.address = JSONString()\n        self.students = JSONList()\n\n\nstu1 = Student()\nstu1.id = \"20190202\"\nstu1.name = \"Stanley\"\n\nstu2 = Student()\nstu2.id = \"20190203\"\nstu2.name = \"Cyrus\"\n\nschool = School()\nschool.address = \"Central Street No.23\"\nschool.students.append(stu1)\nschool.students.append(stu2)\n\njson_str = school.to_json()\nprint(json_str)\n#{\"students\": [{\"id\": \"20190202\", \"name\": \"Stanley\"}, {\"id\": \"20190203\", \"name\": \"Cyrus\"}], \"address\": \"Central Street No.23\"}\n\nschool2 = JSONObject.from_json(School, json_str)\nprint(type(school2.students[0]), school2.students[0])\n#(<type 'dict'>, {u'id': u'20190202', u'name': u'Stanley'})\n\n```\n\nAs you can see here, the deserializing of the School object is incorrect. Because any type of object could be appended to school.students, so `jsonalize` don't know what to restore when deserializing.\n\nThis problem is currently not resolved, maybe I can add a type mapping structure in the future.\n\n\n",
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