code: def test_advanced_profiler_describe(tmpdir, advanced_profiler):
      """Ensure the profiler won't fail when reporting the summary."""
      # record at least one event
      with advanced_profiler.profile("test"):
          pass
      # log to stdout and print to file
      advanced_profiler.describe()
      path = (
          advanced_profiler.dirpath
          / f"{advanced_profiler.filename}.txt"
      )
      data = path.read_text("utf-8")
      assert len(data) > 0
  
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 17 for calling a global function with example usage: test_advanced_profiler_describe(tmpdir, advanced_profiler) without return types