code: def get_path_dict(
      data_path: str, uniqids: List[str], len_wavs: int = None
  ) -> Dict[str, str]:
      """
      Create dictionary from list of lines (using the get_dict_from_list function)
  
      Args:
          data_path (str): Path to file containing list of files
          uniqids (list): List of file IDs
          len_wavs (int): Length of file list
      Returns:
          data_pathdict (dict): Dictionary containing file paths
      """
      if data_path is not None:
          data_pathlist = read_file(data_path)
          if len_wavs is not None:
              assert len(data_pathlist) == len_wavs
              data_pathdict = get_dict_from_list(data_pathlist, uniqids)
      elif len_wavs is not None:
          data_pathdict = {uniq_id: None for uniq_id in uniqids}
      return data_pathdict
  
imports: import json
  import os
  from collections import Counter
  from collections import OrderedDict
  from pathlib import Path
  from typing import Dict, List, Union
  import librosa
  import numpy
  from nemo.collections.asr.parts.utils.speaker_utils import audio_rttm_map, get_subsegments, get_uniqname_from_filepath, rttm_to_labels, segments_manifest_to_subsegments_manifest, write_rttm2manifest
  from nemo.utils.data_utils import DataStoreObject
label_desc: Use image node_id 12 for calling a global function with example usage: get_path_dict(data_path, uniqids, len_wavs) and returns: data_pathdict