code: def test_lr_finder_fails_fast_on_bad_config(tmpdir):
      """Test that tune fails if the model does not have a lr BEFORE running lr find."""
      trainer = Trainer(default_root_dir=tmpdir, max_steps=2)
      tuner = Tuner(trainer)
      with pytest.raises(
          AttributeError, match="should have one of these fields"
      ):
          tuner.lr_find(BoringModel(), update_attr=True)
  
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 11 for calling a global function with example usage: test_lr_finder_fails_fast_on_bad_config(tmpdir) without return types