code: def set_training_arg(training, index, args, kwargs):
      if (
          index is None or index < 0 or len(args) <= index
      ):  # index is invalid
          kwargs["training"] = training
      else:
          args[index] = training
      return args, kwargs
  
imports: import itertools
  import threading
  import types
  from tensorflow.python.eager import context
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.engine import base_layer_utils
  from tensorflow.python.keras.utils import control_flow_util
  from tensorflow.python.keras.utils import tf_contextlib
  from tensorflow.python.keras.utils import tf_inspect
  from tensorflow.python.keras.utils.generic_utils import LazyLoader
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 7 for calling a global function with example usage: set_training_arg(training, index, args, kwargs) and returns: args,  kwargs