code: def decode_and_deserialize(
      json_string, module_objects=None, custom_objects=None
  ):
      """Decodes the JSON and deserializes any Keras objects found in the dict."""
      return json.loads(
          json_string,
          object_hook=functools.partial(
              _decode_helper,
              deserialize=True,
              module_objects=module_objects,
              custom_objects=custom_objects,
          ),
      )
  
file_path: keras/keras/legacy/saving/json_utils.py
imports: import collections
  import enum
  import functools
  import json
  import numpy
  from keras.legacy.saving import serialization
  from keras.saving import serialization_lib
  from keras.utils.module_utils import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: decode_and_deserialize(json_string, module_objects, custom_objects) and returns: json