code: def test_rnnt_alignments(loop_labels: bool):
      # using greedy as baseline and comparing all other configurations to it
      ref_transcriptions = get_rnnt_alignments("greedy")
      transcriptions = get_rnnt_alignments(
          "greedy_batch", loop_labels=loop_labels
      )
      # comparing that label sequence in alignments is exactly the same
      # we can't compare logits as well, because they are expected to be
      # slightly different in batched and single-sample mode
      assert len(ref_transcriptions) == len(transcriptions)
      for ref_transcription, transcription in zip(
          ref_transcriptions, transcriptions
      ):
          for ref_align_elem, align_elem in zip(
              ref_transcription.alignments, transcription.alignments
          ):
              assert len(ref_align_elem) == len(align_elem)
              for ref_pred, pred in zip(ref_align_elem, align_elem):
                  assert ref_pred[1].item() == pred[1].item()
  
imports: import os
  import pytest
  from examples.asr.transcribe_speech import TranscriptionConfig
  from omegaconf import OmegaConf
  from nemo.collections.asr.parts.utils.transcribe_utils import prepare_audio_data, setup_model
label_desc: Use image node_id 3 for calling a global function with example usage: test_rnnt_alignments(loop_labels) without return types