code: def test_autolog_success_message_obeys_disabled():
      with mock.patch(
          "mlflow.tracking.fluent._logger.info"
      ) as autolog_logger_mock:
          mlflow.autolog(disable=True)
          mlflow.utils.import_hooks.notify_module_loaded(sklearn)
          autolog_logger_mock.assert_not_called()
  
          mlflow.autolog()
          mlflow.utils.import_hooks.notify_module_loaded(sklearn)
          autolog_logger_mock.assert_called()
  
          autolog_logger_mock.reset_mock()
  
          mlflow.autolog(disable=False)
          mlflow.utils.import_hooks.notify_module_loaded(sklearn)
          autolog_logger_mock.assert_called()
  
imports: import sys
  from collections import namedtuple
  from io import StringIO
  from unittest import mock
  import fastai
  import lightgbm
  import pyspark
  import pyspark.ml
  import pytest
  import pytorch_lightning
  import setfit
  import sklearn
  import statsmodels
  import tensorflow
  import transformers
  import xgboost
  import mlflow
  from mlflow.utils.autologging_utils import AutologgingEventLogger, autologging_is_disabled, get_autologging_config
  from tests.autologging.fixtures import reset_stderr, test_mode_off, test_mode_on
label_desc: Use image node_id 11 for calling a global function with example usage: test_autolog_success_message_obeys_disabled() without return types