code: def test_output_handler_with_global_step_from_engine():
      mock_another_engine = MagicMock()
      mock_another_engine.state = State()
      mock_another_engine.state.epoch = 10
      mock_another_engine.state.output = 12.345
  
      wrapper = OutputHandler(
          "tag",
          output_transform=lambda x: {"loss": x},
          global_step_transform=global_step_from_engine(
              mock_another_engine
          ),
      )
  
      mock_logger = MagicMock(spec=MLflowLogger)
      mock_logger.log_metrics = MagicMock()
  
      mock_engine = MagicMock()
      mock_engine.state = State()
      mock_engine.state.epoch = 1
      mock_engine.state.output = 0.123
  
      wrapper(mock_engine, mock_logger, Events.EPOCH_STARTED)
      assert mock_logger.log_metrics.call_count == 1
      mock_logger.log_metrics.assert_has_calls(
          [
              call(
                  {"tag loss": mock_engine.state.output},
                  step=mock_another_engine.state.epoch,
              )
          ]
      )
  
      mock_another_engine.state.epoch = 11
      mock_engine.state.output = 1.123
  
      wrapper(mock_engine, mock_logger, Events.EPOCH_STARTED)
      assert mock_logger.log_metrics.call_count == 2
      mock_logger.log_metrics.assert_has_calls(
          [
              call(
                  {"tag loss": mock_engine.state.output},
                  step=mock_another_engine.state.epoch,
              )
          ]
      )
  
file_path: ignite/tests/ignite/contrib/handlers/test_mlflow_logger.py
imports: import sys
  from unittest.mock import call, MagicMock
  import pytest
  import torch
  from ignite.contrib.handlers.mlflow_logger import global_step_from_engine, MLflowLogger, OptimizerParamsHandler, OutputHandler
  from ignite.engine import Engine, Events, State
label_desc: Use image node_id 7 for calling a global function with example usage: test_output_handler_with_global_step_from_engine() without return types