code: def _load_current_iterator(self) -> None:
      # Load a single DataLoader, prevents multiple sets of workers from starting unnecessarily
      if self._iterator_idx < len(self.iterables):
          self.iterators = [iter(self.iterables[self._iterator_idx])]
      else:
          # No more iterables to step through, return an empty list
          self.iterators = []
  
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 _Sequential obj's underlying member method code with example usage: obj._load_current_iterator() without return types