code: def _print_frozen_transforms(self):
      """Internal debugging method. Do not use it.
      Prints the current frozen transformations."""
      print("FROZEN TRANSFORMS:\n" + str(self._frozen_transform_groups))
      for dd in self._datasets:
          if isinstance(dd, AvalancheDataset):
              print("PARENT FROZEN:\n")
              _print_frozen_transforms(dd)
  
imports: import copy
  import warnings
  import numpy
  from torch.utils.data.dataloader import default_collate
  from avalanche.benchmarks.utils.dataset_definitions import IDataset
  from .data_attribute import DataAttribute
  from typing import Dict, List, Any, Optional, Sequence, TypeVar, Callable, Union, overload
  from .flat_data import FlatData
  from .transform_groups import TransformGroups, EmptyTransformGroups
  from torch.utils.data import Dataset
  from collections import OrderedDict
label_desc: Use image node_id 2 for calling a global function with example usage: _print_frozen_transforms() without return types