code: def test_output_handler_with_wrong_logger_type():
      wrapper = OutputHandler("tag", output_transform=lambda x: x)
  
      mock_logger = MagicMock()
      mock_engine = MagicMock()
      with pytest.raises(
          RuntimeError,
          match="Handler 'OutputHandler' works only with TensorboardLogger",
      ):
          wrapper(mock_engine, mock_logger, Events.ITERATION_STARTED)
  
imports: import math
  import os
  from unittest.mock import ANY, call, MagicMock, patch
  import pytest
  import torch
  from ignite.contrib.handlers.tensorboard_logger import global_step_from_engine, GradsHistHandler, GradsScalarHandler, OptimizerParamsHandler, OutputHandler, TensorboardLogger, WeightsHistHandler, WeightsScalarHandler
  from ignite.engine import Engine, Events, State
label_desc: Use image node_id 4 for calling a global function with example usage: test_output_handler_with_wrong_logger_type() without return types