code: def test_logger_initialization(tmp_path, monkeypatch, logger_class):
      """Test that loggers get replaced by dummy loggers on global rank > 0 and that the experiment object is available
      at the right time in Trainer."""
      _patch_comet_atexit(monkeypatch)
      try:
          _test_logger_initialization(tmp_path, logger_class)
      except (ImportError, ModuleNotFoundError):
          pytest.xfail(
              f"multi-process test requires {logger_class.__class__} dependencies to be installed."
          )
  
imports: import inspect
  import os
  import pickle
  from unittest import mock
  from unittest.mock import ANY, Mock
  import pytest
  import torch
  from lightning.pytorch import Callback, Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.loggers import CometLogger, CSVLogger, MLFlowLogger, NeptuneLogger, TensorBoardLogger, WandbLogger
  from lightning.pytorch.loggers.logger import DummyExperiment, Logger
  from lightning.pytorch.loggers.tensorboard import _TENSORBOARD_AVAILABLE
  from lightning.pytorch.tuner.tuning import Tuner
  from tests_pytorch.helpers.runif import RunIf
  from tests_pytorch.loggers.test_comet import _patch_comet_atexit
  from tests_pytorch.loggers.test_mlflow import mock_mlflow_run_creation
label_desc: Use image node_id 7 for calling a global function with example usage: test_logger_initialization(tmp_path, monkeypatch, logger_class) without return types