code: def test_profiler_teardown(tmpdir, cls):
      """This test checks if profiler teardown method is called when trainer is exiting."""
  
      class TestCallback(Callback):
          def on_fit_end(self, trainer, *args, **kwargs) -> None:
              # describe sets it to None
              assert trainer.profiler._output_file is None
  
      profiler = cls(dirpath=tmpdir, filename="profiler")
      model = BoringModel()
      trainer = Trainer(
          default_root_dir=tmpdir,
          fast_dev_run=1,
          profiler=profiler,
          callbacks=[TestCallback()],
      )
      trainer.fit(model)
  
      assert profiler._output_file is None
  
imports: import logging
  import os
  import platform
  import time
  from copy import deepcopy
  from unittest.mock import patch
  import numpy
  import pytest
  import torch
  from lightning.pytorch import Callback, Trainer
  from lightning.pytorch.callbacks import EarlyStopping, StochasticWeightAveraging
  from lightning.pytorch.demos.boring_classes import BoringModel, ManualOptimBoringModel
  from lightning.pytorch.loggers import CSVLogger, TensorBoardLogger
  from lightning.pytorch.profilers import AdvancedProfiler, PassThroughProfiler, PyTorchProfiler, SimpleProfiler
  from lightning.pytorch.profilers.pytorch import _KINETO_AVAILABLE, RegisterRecordFunction, warning_cache
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 29 for calling a global function with example usage: test_profiler_teardown(tmpdir, cls) without return types