code: def __getstate__(self) -> Dict[str, Any]:
      state = self.__dict__.copy()
  
      # workaround an inconvenient `NotImplementedError`:
      # https://github.com/pytorch/pytorch/blob/v2.0.0/torch/utils/data/dataloader.py#L652-L658
      state["iterators"] = [
          None
          if isinstance(iterator, _BaseDataLoaderIter)
          else iterator_state
          for iterator, iterator_state in zip(
              self.iterators, state["iterators"]
          )
      ]
  
      return state
  
imports: import contextlib
  from collections.abc import Iterable
  from typing import Any, Callable, Dict, Iterator, List, Literal, Optional, Tuple, Type, Union
  from torch.utils.data.dataloader import _BaseDataLoaderIter, _MultiProcessingDataLoaderIter
  from typing_extensions import Self, TypedDict
  from lightning.fabric.utilities.data import sized_len
  from lightning.pytorch.utilities._pytree import _map_and_unflatten, _tree_flatten, tree_unflatten
label_desc: Use image node_id 6 for calling the _ModeIterator obj's underlying member method code with example usage: obj.__getstate__() and returns: state