code: def test_process_dataloader_gets_called_as_expected(
      keyword, value, monkeypatch
  ):
      trainer = Trainer()
      model = BoringModelNoDataloaders()
      strategy = SingleDeviceStrategy(accelerator=Mock())
      strategy.connect(model)
      trainer._accelerator_connector.strategy = strategy
      process_dataloader_mock = MagicMock()
      monkeypatch.setattr(
          strategy, "process_dataloader", process_dataloader_mock
      )
  
      if "train" in keyword:
          fn = trainer.fit_loop.setup_data
      elif "val" in keyword:
          fn = trainer.validate_loop.setup_data
      elif "test" in keyword:
          fn = trainer.test_loop.setup_data
      else:
          fn = trainer.predict_loop.setup_data
  
      trainer._data_connector.attach_dataloaders(
          model, **{keyword: value}
      )
      fn()
  
      expected = len(value) if isinstance(value, list) else 1
      assert process_dataloader_mock.call_count == expected
  
imports: import pickle
  from unittest.mock import MagicMock, Mock
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.core.optimizer import LightningOptimizer
  from lightning.pytorch.demos.boring_classes import BoringModel, RandomDataset
  from lightning.pytorch.strategies import SingleDeviceStrategy
  from torch.utils.data import DataLoader
  from tests_pytorch.helpers.dataloaders import CustomNotImplementedErrorDataloader
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 4 for calling a global function with example usage: test_process_dataloader_gets_called_as_expected(keyword, value, monkeypatch) without return types