code: def _print_transforms(self):
      """Internal debugging method. Do not use it.
      Prints the current transformations."""
      self._print_frozen_transforms()
      self._print_nonfrozen_transforms()
  
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 4 for calling a global function with example usage: _print_transforms() without return types