code: def test_datamodule_parameter(tmpdir):
      """Test that the datamodule parameter works."""
      seed_everything(1)
  
      dm = ClassifDataModule()
      model = ClassificationModel(lr=1e-3)
  
      before_lr = model.lr
      # logger file to get meta
      trainer = Trainer(default_root_dir=tmpdir, max_epochs=2)
  
      tuner = Tuner(trainer)
      lr_finder = tuner.lr_find(model, datamodule=dm)
      after_lr = lr_finder.suggestion()
      model.lr = after_lr
  
      assert after_lr is not None
      assert (
          before_lr != after_lr
      ), "Learning rate was not altered after running learning rate finder"
  
imports: import logging
  import math
  import os
  from copy import deepcopy
  from typing import Any
  from unittest import mock
  import pytest
  import torch
  from lightning.pytorch import Trainer, seed_everything
  from lightning.pytorch.callbacks.lr_finder import LearningRateFinder
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.tuner.lr_finder import _LRFinder
  from lightning.pytorch.tuner.tuning import Tuner
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.types import STEP_OUTPUT
  from lightning_utilities.test.warning import no_warning_call
  from tests_pytorch.helpers.datamodules import ClassifDataModule
  from tests_pytorch.helpers.runif import RunIf
  from tests_pytorch.helpers.simple_models import ClassificationModel
  from tests_pytorch.helpers.utils import getattr_recursive
label_desc: Use image node_id 7 for calling a global function with example usage: test_datamodule_parameter(tmpdir) without return types