code: def test_auto_ml_fit_set_logs_to_false(
      start_new, sagemaker_session, caplog
  ):
      auto_ml = AutoML(
          role=ROLE,
          target_attribute_name=TARGET_ATTRIBUTE_NAME,
          sagemaker_session=sagemaker_session,
      )
      inputs = DEFAULT_S3_INPUT_DATA
      auto_ml.fit(inputs, job_name=JOB_NAME, wait=False, logs=True)
      start_new.wait.assert_not_called()
      assert (
          "Setting logs to False. logs is only meaningful when wait is True."
          in caplog.text
      )
  
imports: from __future__ import absolute_import
  import copy
  import pytest
  from mock import Mock, patch
  from sagemaker import AutoML, AutoMLJob, AutoMLInput, CandidateEstimator, PipelineModel
  from sagemaker.predictor import Predictor
  from sagemaker.session_settings import SessionSettings
  from sagemaker.workflow.functions import Join
  from tests.unit import SAGEMAKER_CONFIG_AUTO_ML, SAGEMAKER_CONFIG_TRAINING_JOB, _test_default_bucket_and_prefix_combinations, DEFAULT_S3_BUCKET_NAME, DEFAULT_S3_OBJECT_KEY_PREFIX_NAME
label_desc: Use image node_id 10 for calling a global function with example usage: test_auto_ml_fit_set_logs_to_false(start_new, sagemaker_session, caplog) without return types