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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def to_jsondict(self, encode_string=base64.b64encode):
 """ This method returns a JSON style dict to describe this object. The returned dict is compatible with json.dumps() and json.loads(). Suppose ClassName object inherits StringifyMixin. For an object like the following:: ClassName(Param1=100, Param2=200) this method would produce:: { "ClassName": {"Param1": 100, "Param2": 200} } This method takes the following arguments. .. tabularcolumns:: |l|L| ============= ===================================================== Argument Description ============= ===================================================== encode_string (Optional) specify how to encode attributes which has python 'str' type. The default is base64. This argument is used only for attributes which don't have explicit type annotations in _TYPE class attribute. ============= ===================================================== """

        dict_ = {}
        encode = lambda key, val: self._encode_value(key, val, encode_string)
        for k, v in obj_attrs(self):
            dict_[k] = encode(k, v)
        return {self.__class__.__name__: dict_}