code: def save_label_ids(
      label_ids: Dict[str, int], file_path: Path
  ) -> None:
      """
      Saves label ids map to a file. In each line of a file one label is saved. Labels are saved in the order of
      increasing of their ids.
  
      Args:
          label_ids: label id dictionary. Pad label has to have id ``0``
          file_path: path to a file where labels will be saved
      """
      file_path.parent.mkdir(parents=True, exist_ok=True)
      with file_path.open("w", encoding="utf_8", newline="\n") as out:
          labels, _ = zip(
              *sorted(label_ids.items(), key=lambda x: x[1])
          )
          out.write("\n".join(labels))
  
imports: import itertools
  import multiprocessing
  import os
  import pickle
  import tempfile
  from dataclasses import dataclass
  from math import ceil
  from pathlib import Path
  from queue import Empty
  from time import sleep
  from typing import Any, Dict, List, Optional, Set, Tuple, Union
  import numpy
  import torch
  from numpy import ndarray
  from omegaconf import MISSING, DictConfig, OmegaConf
  from torch.nn.utils.rnn import pad_sequence
  from tqdm import tqdm
  from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec
  from nemo.collections.nlp.data.data_utils.data_preprocessing import get_label_stats, get_stats
  from nemo.core.classes import Dataset
  from nemo.core.neural_types import AudioSignal, ChannelType, LabelsType, LengthsType, MaskType, NeuralType
  from nemo.utils import logging
  from nemo.utils.get_rank import is_global_rank_zero
label_desc: Use image node_id 9 for calling a global function with example usage: save_label_ids(label_ids, file_path) without return types