code: def test_run_model_quality_monitor(
      scheduled_model_quality_monitor,
      sagemaker_session,
      endpoint_name,
      ground_truth_input,
      upload_actual_data,
  ):
      monitor = scheduled_model_quality_monitor
      _verify_execution_status(monitor)
  
      _verify_model_quality_job_description(
          sagemaker_session=sagemaker_session,
          monitor=monitor,
          endpoint_name=endpoint_name,
          ground_truth_input=ground_truth_input,
      )
  
      monitor.delete_monitoring_schedule()
  
imports: from __future__ import print_function, absolute_import
  import tempfile
  from datetime import datetime, timedelta
  import json
  import os
  import numpy
  import pytest
  import pandas
  import tests.integ
  import tests.integ.timeout
  from sagemaker import image_uris, utils
  from sagemaker.model_monitor import CronExpressionGenerator, DataCaptureConfig, EndpointInput, ModelQualityMonitor, DatasetFormat
  from sagemaker.s3 import S3Uploader
  from sagemaker.utils import unique_name_from_base
  from sagemaker.model import Model
  from tests.integ import DATA_DIR
  from tests.integ.retry import retries
label_desc: Use image node_id 8 for calling a global function with example usage: test_run_model_quality_monitor(scheduled_model_quality_monitor, sagemaker_session, endpoint_name, ground_truth_input, upload_actual_data) without return types