code: def pad_without_fast_tokenizer_warning(
      tokenizer, *pad_args, **pad_kwargs
  ):
      """
      Pads without triggering the warning about how using the pad function is sub-optimal when using a fast tokenizer.
      """
  
      # To avoid errors when using Feature extractors
      if not hasattr(tokenizer, "deprecation_warnings"):
          return tokenizer.pad(*pad_args, **pad_kwargs)
  
      # Save the state of the warning, then disable it
      warning_state = tokenizer.deprecation_warnings.get(
          "Asking-to-pad-a-fast-tokenizer", False
      )
      tokenizer.deprecation_warnings[
          "Asking-to-pad-a-fast-tokenizer"
      ] = True
  
      try:
          padded = tokenizer.pad(*pad_args, **pad_kwargs)
      finally:
          # Restore the state of the warning.
          tokenizer.deprecation_warnings[
              "Asking-to-pad-a-fast-tokenizer"
          ] = warning_state
  
      return padded
  
imports: import random
  import warnings
  from collections.abc import Mapping
  from dataclasses import dataclass
  from random import randint
  from typing import Any, Callable, Dict, List, NewType, Optional, Tuple, Union
  import numpy
  from ..models.bert import BertTokenizer, BertTokenizerFast
  from ..tokenization_utils_base import PreTrainedTokenizerBase
  from ..utils import PaddingStrategy
label_desc: Use image node_id 1 for calling a global function with example usage: pad_without_fast_tokenizer_warning(tokenizer) and returns: padded, tokenizer