code: def xxd_output_to_object(input_cc_file):
      """Converts xxd output C++ source file to object.
  
      Args:
        input_cc_file: Full path name to th C++ source file dumped by xxd
  
      Raises:
        RuntimeError: If input_cc_file path is invalid.
        IOError: If input_cc_file cannot be opened.
  
      Returns:
        A python object corresponding to the input tflite file.
      """
      model_bytes = xxd_output_to_bytes(input_cc_file)
      return convert_bytearray_to_object(model_bytes)
  
imports: import copy
  import random
  import re
  import struct
  import sys
  import flatbuffers
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python import schema_util
  from tensorflow.python.platform import gfile
label_desc: Use image node_id 12 for calling a global function with example usage: xxd_output_to_object(input_cc_file) and returns: convert_bytearray_to_object