code: def test_chunk_bytes_iter(self):
      iter_ = iter(
          chunk_bytes_iter(
              bytes_iter(chunk_size=3, chunks=2), 3, stride=(0, 0)
          )
      )
      self.assertEqual(
          next(iter_), {"raw": b"\x00\x01\x02", "stride": (0, 0)}
      )
      self.assertEqual(
          next(iter_), {"raw": b"\x03\x04\x05", "stride": (0, 0)}
      )
      with self.assertRaises(StopIteration):
          next(iter_)
  
imports: import unittest
  import numpy
  import pytest
  from datasets import load_dataset
  from huggingface_hub import snapshot_download
  from transformers import MODEL_FOR_CTC_MAPPING, MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING, AutoFeatureExtractor, AutoTokenizer, Speech2TextForConditionalGeneration, Wav2Vec2ForCTC, WhisperForConditionalGeneration, WhisperProcessor
  from transformers.pipelines import AutomaticSpeechRecognitionPipeline, pipeline
  from transformers.pipelines.audio_utils import chunk_bytes_iter
  from transformers.pipelines.automatic_speech_recognition import chunk_iter
  from transformers.testing_utils import is_torch_available, nested_simplify, require_pyctcdecode, require_tf, require_torch, require_torchaudio, slow
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 2 for calling the AudioUtilsTest obj's underlying member method code with example usage: obj.test_chunk_bytes_iter() without return types