code: def test_done_dataloader_iter_with_limit(
      mode, iterables, limit, num_fetches, expected
  ):
      """Test that the `done` property for `dataloader_iter` gets set as expected."""
      loader = CombinedLoader(iterables, mode=mode)
      fetcher = _DataLoaderIterDataFetcher()
      loader.limits = limit
      fetcher.setup(loader)
      iter(fetcher)
  
      assert fetcher.done == (limit == 0)
      if num_fetches == 0:
          return
  
      dataloader_iter = next(fetcher)
  
      assert not dataloader_iter.done
      for _ in range(num_fetches):
          next(dataloader_iter)
      assert dataloader_iter.done == expected
      assert fetcher.done == expected
  
      if fetcher.done:
          with pytest.raises(StopIteration):
              next(dataloader_iter)
  
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 13 for calling a global function with example usage: test_done_dataloader_iter_with_limit(mode, iterables, limit, num_fetches, expected) without return types