code: def rename_keys(s_dict):
      keys = list(s_dict.keys())
      for key in keys:
          new_key = key
          for k, v in WHISPER_MAPPING.items():
              if k in key:
                  new_key = new_key.replace(k, v)
  
          print(f"{key} -> {new_key}")
  
          s_dict[new_key] = s_dict.pop(key)
      return s_dict
  
imports: import argparse
  import io
  import json
  import os
  import tempfile
  import urllib
  import warnings
  from typing import Any, Optional, Tuple
  import torch
  from huggingface_hub.utils import insecure_hashlib
  from torch import nn
  from tqdm import tqdm
  from transformers import GenerationConfig, WhisperConfig, WhisperFeatureExtractor, WhisperForConditionalGeneration, WhisperProcessor, WhisperTokenizer, WhisperTokenizerFast
  from transformers.models.whisper.tokenization_whisper import LANGUAGES, bytes_to_unicode
  from transformers.utils.import_utils import _is_package_available
label_desc: Use image node_id 3 for calling a global function with example usage: rename_keys(s_dict) and returns: s_dict