code: def check_labels_for_being_unique_before_building_label_ids(
      pad_label: str,
      other_labels: List[str],
      pad_label_name: str,
      other_labels_name: str,
      error_class_or_function: Union[
          Type[Exception], Callable[[str], Any]
      ],
  ) -> None:
      """
      A function for checking that that all labels are unique.
  
      Args:
          pad_label: a pad label
          other_labels: a list of labels except for the pad label
          pad_label_name: a name of the pad label used in error message
          other_labels_name: a name of other labels used in error message
          error_class_or_function: a class of an exception which is raised if there is a problem with labels.
              Alternatively it can be a function for handling exceptions, for example ``argparse.ArgumentParser.error``.
              Such a function has to take one argument -- error message.
      """
      for i, lbl in enumerate(other_labels):
          if lbl == pad_label:
              msg = f"Label number {i} in parameter `{other_labels_name}` is equal to `{pad_label_name}`."
              process_error(msg, error_class_or_function)
      for i in range(len(other_labels) - 1):
          for lbl in other_labels[i + 1 :]:
              if lbl == other_labels[i]:
                  msg = f"Label number {i} occurs at least 2 times in parameter `{other_labels_name}`."
                  process_error(msg, error_class_or_function)
  
imports: import inspect
  import json
  import multiprocessing
  import os
  import pickle
  import re
  import shutil
  import tempfile
  from collections import deque
  from pathlib import Path
  from typing import Any, Callable, Dict, Iterator, List, Optional, Set, Tuple, Type, Union
  import numpy
  import torch
  import webdataset
  from joblib import Parallel, delayed
  from omegaconf import DictConfig
  from torch.utils.data import IterableDataset
  from nemo.collections.common.tokenizers import TokenizerSpec
  from nemo.collections.nlp.data.token_classification.punctuation_capitalization_dataset import LABEL_ID_DIR_FOR_NEMO_CHECKPOINT, BertPunctuationCapitalizationDataset, Progress, create_label_ids, create_masks_and_segment_ids, load_label_ids, raise_not_equal_labels_error
  from nemo.collections.nlp.modules.common.tokenizer_utils import get_tokenizer
  from nemo.core.neural_types import AudioSignal, ChannelType, LabelsType, LengthsType, MaskType, NeuralType
  from nemo.utils import logging
label_desc: Use image node_id 9 for calling a global function with example usage: check_labels_for_being_unique_before_building_label_ids(pad_label, other_labels, pad_label_name, other_labels_name, error_class_or_function) without return types