code: def patch_everywhere(
      attribute_name: str,
      patch: Any,
      module_name_prefix: Optional[str] = None,
  ):
      """
      Finds all occurences of `attribute_name` in the loaded modules and patches them with `patch`.
  
      Args:
          attribute_name (`str`):
              The name of attribute to patch.
          patch (`Any`):
              The patch for the attribute.
          module_name_prefix (`Optional[str]`, defaults to `None`):
              If set, only module names starting with this prefix will be considered for patching.
      """
      for name, module in sys.modules.items():
          if module_name_prefix is not None and not name.startswith(
              module_name_prefix
          ):
              continue
          if hasattr(module, attribute_name):
              setattr(module, attribute_name, patch)
  
imports: import dataclasses
  import functools
  import inspect
  import math
  import sys
  import types
  from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
  import transformers
  from packaging import version
  from transformers.models.speecht5.modeling_speecht5 import SpeechT5EncoderWithSpeechPrenet
  from transformers.utils import is_torch_available
  from ...configuration_utils import _transformers_version
  from ...utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: patch_everywhere(attribute_name, patch, module_name_prefix) without return types