code: def should_ignore(name, ignore_keys):
      for key in ignore_keys:
          if key.endswith(".*"):
              if name.startswith(key[:-1]):
                  return True
          elif ".*." in key:
              prefix, suffix = key.split(".*.")
              if prefix in name and suffix in name:
                  return True
          elif key in name:
              return True
      return False
  
file_path: transformers/src/transformers/models/speecht5/convert_speecht5_original_pytorch_checkpoint_to_pytorch.py
imports: import argparse
  import torch
  from transformers import SpeechT5Config, SpeechT5FeatureExtractor, SpeechT5ForSpeechToSpeech, SpeechT5ForSpeechToText, SpeechT5ForTextToSpeech, SpeechT5Processor, SpeechT5Tokenizer, logging
  from transformers.tokenization_utils import AddedToken
label_desc: Use image node_id 2 for calling a global function with example usage: should_ignore(name, ignore_keys) and returns: False, True, True, True