code: def wrap_transcription(
      hyps: List[str],
  ) -> List[rnnt_utils.Hypothesis]:
      """Wrap transcription to the expected format in func write_transcription"""
      wrapped_hyps = []
      for hyp in hyps:
          hypothesis = rnnt_utils.Hypothesis(
              score=0.0, y_sequence=[], text=hyp
          )
          wrapped_hyps.append(hypothesis)
      return wrapped_hyps
  
imports: import glob
  import json
  import os
  import re
  from dataclasses import dataclass
  from typing import List, Optional, Tuple, Union
  import torch
  from omegaconf import DictConfig
  from tqdm.auto import tqdm
  import nemo.collections.asr
  from nemo.collections.asr.metrics.wer import word_error_rate
  from nemo.collections.asr.models import ASRModel, EncDecHybridRNNTCTCModel
  from nemo.collections.asr.parts.utils import rnnt_utils
  from nemo.collections.asr.parts.utils.streaming_utils import FrameBatchASR
  from nemo.collections.common.metrics.punct_er import OccurancePunctuationErrorRate
  from nemo.collections.common.parts.preprocessing.manifest import get_full_path
  from nemo.utils import logging, model_utils
label_desc: Use image node_id 3 for calling a global function with example usage: wrap_transcription(hyps) and returns: wrapped_hyps