code: def test_default_monitor_create_and_update_schedule_config_without_customizations(
      sagemaker_session, predictor
  ):
      my_default_monitor = DefaultModelMonitor(
          role=ROLE, sagemaker_session=sagemaker_session
      )
  
      my_default_monitor.create_monitoring_schedule(
          endpoint_input=predictor.endpoint_name,
          schedule_cron_expression=CronExpressionGenerator.daily(),
      )
  
      schedule_description = my_default_monitor.describe_schedule()
      _verify_default_monitoring_schedule(
          sagemaker_session=sagemaker_session,
          schedule_description=schedule_description,
      )
  
      _wait_for_schedule_changes_to_apply(my_default_monitor)
  
      my_default_monitor.update_monitoring_schedule()
  
      _wait_for_schedule_changes_to_apply(my_default_monitor)
  
      schedule_description = my_default_monitor.describe_schedule()
      _verify_default_monitoring_schedule(
          sagemaker_session=sagemaker_session,
          schedule_description=schedule_description,
      )
  
      _wait_for_schedule_changes_to_apply(monitor=my_default_monitor)
  
      my_default_monitor.stop_monitoring_schedule()
  
      _wait_for_schedule_changes_to_apply(monitor=my_default_monitor)
  
imports: from __future__ import absolute_import
  import json
  import os
  import uuid
  import time
  import pytest
  import tests.integ
  import tests.integ.timeout
  from sagemaker.s3 import S3Uploader
  from datetime import datetime, timedelta
  from tests.integ import DATA_DIR
  from sagemaker.model_monitor import DatasetFormat
  from sagemaker.model_monitor import MonitoringDatasetFormat
  from sagemaker.model_monitor import NetworkConfig, Statistics, Constraints
  from sagemaker.model_monitor import ModelMonitor
  from sagemaker.model_monitor import DefaultModelMonitor
  from sagemaker.model_monitor import MonitoringOutput
  from sagemaker.model_monitor import DataCaptureConfig
  from sagemaker.model_monitor import BatchTransformInput
  from sagemaker.model_monitor import DataQualityMonitoringConfig
  from sagemaker.model_monitor import DataQualityDistributionConstraints
  from sagemaker.model_monitor.data_capture_config import _MODEL_MONITOR_S3_PATH
  from sagemaker.model_monitor.data_capture_config import _DATA_CAPTURE_S3_PATH
  from sagemaker.model_monitor import CronExpressionGenerator
  from sagemaker.model_monitor.monitoring_alert import MonitoringAlertSummary
  from sagemaker.processing import ProcessingInput
  from sagemaker.processing import ProcessingOutput
  from sagemaker.tensorflow.model import TensorFlowModel
  from sagemaker.utils import unique_name_from_base
  from tests.integ.kms_utils import get_or_create_kms_key
  from tests.integ.retry import retries
label_desc: Use image node_id 17 for calling a global function with example usage: test_default_monitor_create_and_update_schedule_config_without_customizations(sagemaker_session, predictor) without return types