code: def functional_init_arguments(args, kwargs):
      return (
          (len(args) == 2)
          or (len(args) == 1 and "outputs" in kwargs)
          or ("inputs" in kwargs and "outputs" in kwargs)
      )
  
imports: import inspect
  import json
  import os
  import warnings
  from keras import backend
  from keras import utils
  from keras.api_export import keras_export
  from keras.layers.layer import Layer
  from keras.models.variable_mapping import map_trackable_variables
  from keras.saving import saving_api
  from keras.saving import saving_lib
  from keras.trainers import trainer
  from keras.utils import io_utils
  from keras.utils import summary_utils
  from keras.utils import traceback_utils
label_desc: Use image node_id 2 for calling a global function with example usage: functional_init_arguments(args, kwargs) and returns: unknown