code: def test_tag_setup_mlflow(mock_record, monkeypatch):
      from ray.air.integrations.mlflow import setup_mlflow
  
      monkeypatch.setattr(
          ray.air.integrations.mlflow, "_MLflowLoggerUtil", MagicMock()
      )
      setup_mlflow()
      assert (
          mock_record[TagKey.AIR_SETUP_MLFLOW_INTEGRATION_USED] == "1"
      )
  
imports: import json
  import os
  from packaging.version import Version
  import pyarrow.fs
  import pytest
  from unittest.mock import MagicMock, patch
  import ray
  from ray import train, tune
  from ray.air._internal import usage
  from ray.air._internal.usage import AirEntrypoint
  from ray.air.integrations import wandb, mlflow, comet
  from ray.train._internal.storage import StorageContext
  from ray.tune.callback import Callback
  from ray.tune.experiment.experiment import Experiment
  from ray.tune.logger import LoggerCallback
  from ray.tune.logger.aim import AimLoggerCallback
  from ray.tune.utils.callback import DEFAULT_CALLBACK_CLASSES
  from ray._private.usage.usage_lib import TagKey
label_desc: Use image node_id 9 for calling a global function with example usage: test_tag_setup_mlflow(mock_record, monkeypatch) without return types