code: def on_train_batch_start(self, trainer, pl_module, batch, batch_idx):
      is_dummy = isinstance(trainer.logger.experiment, DummyExperiment)
      if trainer.is_global_zero:
          assert not is_dummy
      else:
          assert is_dummy
          assert (
              pl_module.logger.experiment.something(foo="bar") is None
          )
  
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 RankZeroLoggerCheck obj's underlying member method code with example usage: obj.on_train_batch_start(trainer, pl_module, batch, batch_idx) without return types