code: def setup(self, trainer, pl_module, stage=None):
      if trainer.global_rank > 0:
          return
      if isinstance(trainer.logger, MLFlowLogger):
          assert trainer.logger._mlflow_client
      elif isinstance(trainer.logger, NeptuneLogger):
          assert trainer.logger._run_instance
      elif hasattr(trainer.logger, "_experiment"):
          assert trainer.logger._experiment
  
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 1 for calling the LazyInitExperimentCheck obj's underlying member method code with example usage: obj.setup(trainer, pl_module, stage) without return types