code: def test_done_dataloader_iter_empty_iterables(mode):
      """Test that the `done` property for `dataloader_iter` gets set as expected for empty iterables."""
      fetcher = _DataLoaderIterDataFetcher()
  
      # single empty iterable
      loader = CombinedLoader([], mode=mode)
      fetcher.setup(loader)
      iter(fetcher)
      assert fetcher.done
      # multiple iterables and all are empty
      loader = CombinedLoader([[], []], mode=mode)
      fetcher.setup(loader)
      iter(fetcher)
      assert fetcher.done
      # one empty, one non-empty
      loader = CombinedLoader([[], [1, 2, 3]], mode=mode)
      fetcher.setup(loader)
      iter(fetcher)
      assert fetcher.done == (mode == "min_size")
  
imports: from collections import Counter
  from typing import Any, Iterator
  import pytest
  import torch
  from lightning.pytorch import LightningDataModule, Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel, RandomDataset
  from lightning.pytorch.loops.fetchers import _DataLoaderIterDataFetcher, _PrefetchDataFetcher
  from lightning.pytorch.profilers import SimpleProfiler
  from lightning.pytorch.utilities.combined_loader import CombinedLoader
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.types import STEP_OUTPUT
  from torch import Tensor
  from torch.utils.data import DataLoader, Dataset, IterableDataset
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 14 for calling a global function with example usage: test_done_dataloader_iter_empty_iterables(mode) without return types