code: def test_run_bias_monitor(
      scheduled_bias_monitor,
      sagemaker_session,
      endpoint_name,
      ground_truth_input,
      upload_actual_data,
  ):
      _verify_execution_status(scheduled_bias_monitor)
  
      _verify_bias_job_description(
          sagemaker_session=sagemaker_session,
          monitor=scheduled_bias_monitor,
          endpoint_name=endpoint_name,
          ground_truth_input=ground_truth_input,
      )
  
      scheduled_bias_monitor.delete_monitoring_schedule()
  
imports: from __future__ import print_function, absolute_import
  from datetime import datetime, timedelta
  import json
  import numpy
  import os
  import pandas
  import pytest
  import tempfile
  import uuid
  import time
  import tests.integ
  import tests.integ.timeout
  from sagemaker import image_uris, utils
  from sagemaker.model_monitor import BiasAnalysisConfig, CronExpressionGenerator, DataCaptureConfig, EndpointInput, ExplainabilityAnalysisConfig, ModelBiasMonitor, ModelExplainabilityMonitor, BatchTransformInput, MonitoringDatasetFormat
  from sagemaker.s3 import S3Uploader
  from sagemaker.utils import unique_name_from_base
  from sagemaker.clarify import BiasConfig, DataConfig, ModelConfig, ModelPredictedLabelConfig, SHAPConfig
  from sagemaker.model import Model
  from tests.integ import DATA_DIR
  from tests.integ.retry import retries
label_desc: Use image node_id 14 for calling a global function with example usage: test_run_bias_monitor(scheduled_bias_monitor, sagemaker_session, endpoint_name, ground_truth_input, upload_actual_data) without return types