code: def raise_unsupported_arg(arg_name, arg_description, input_type):
      raise ValueError(
          f"When providing `x` as a {input_type}, `{arg_name}` "
          f"should not be passed. Instead, {arg_description} should "
          f"be included as part of the {input_type}."
      )
  
file_path: keras/keras/trainers/data_adapters/__init__.py
imports: import types
  from keras.distribution import distribution_lib
  from keras.trainers.data_adapters import array_data_adapter
  from keras.trainers.data_adapters import py_dataset_adapter
  from keras.trainers.data_adapters.array_data_adapter import ArrayDataAdapter
  from keras.trainers.data_adapters.generator_data_adapter import GeneratorDataAdapter
  from keras.trainers.data_adapters.py_dataset_adapter import PyDatasetAdapter
  from keras.trainers.data_adapters.tf_dataset_adapter import TFDatasetAdapter
  from keras.trainers.data_adapters.torch_data_loader_adapter import TorchDataLoaderAdapter
label_desc: Use image node_id 2 for calling a global function with example usage: raise_unsupported_arg(arg_name, arg_description, input_type) without return types