code: def test_token_info(
      text, model_pretrained_name, separator, expected_utterance
  ):
      model = ASRModel.from_pretrained(model_pretrained_name)
      utt_obj = get_utt_obj(
          text,
          model,
          separator,
          T=T_FOR_TEST,
          audio_filepath=AUDIO_FILEPATH_FOR_TEST,
          utt_id=UTT_ID_FOR_TEST,
      )
      print(
          f"expected utterance object: {get_utt_obj_pp_string(expected_utterance)}\n"
      )
      print(
          f"output utterance object in test: {get_utt_obj_pp_string(utt_obj)}\n"
      )
  
      assert utt_obj == expected_utterance
  
imports: import prettyprinter
  import pytest
  from prettyprinter import pretty_call, register_pretty
  from utils.data_prep import Segment, Token, Utterance, Word, get_utt_obj
  from nemo.collections.asr.models import ASRModel
label_desc: Use image node_id 2 for calling a global function with example usage: test_token_info(text, model_pretrained_name, separator, expected_utterance) without return types