code: def test_default_model_monitor_suggest_baseline_with_invalid_categorical_drift_method(
      sagemaker_session,
  ):
      my_default_monitor = DefaultModelMonitor(
          role=ROLE,
          instance_count=INSTANCE_COUNT,
          instance_type=INSTANCE_TYPE,
          volume_size_in_gb=VOLUME_SIZE_IN_GB,
          volume_kms_key=VOLUME_KMS_KEY,
          output_kms_key=OUTPUT_KMS_KEY,
          max_runtime_in_seconds=MAX_RUNTIME_IN_SECONDS,
          base_job_name=BASE_JOB_NAME,
          sagemaker_session=sagemaker_session,
          env=ENVIRONMENT,
          tags=TAGS,
          network_config=NETWORK_CONFIG,
      )
      distribution_constraints_with_invalid_categorical_drift_method = (
          DataQualityDistributionConstraints(
              categorical_drift_method="Invalid"
          )
      )
      monitoring_config_with_invalid_categorical_drift_method = DataQualityMonitoringConfig(
          distribution_constraints=distribution_constraints_with_invalid_categorical_drift_method
      )
      with pytest.raises(RuntimeError) as error:
          my_default_monitor.suggest_baseline(
              baseline_dataset=BASELINE_DATASET_PATH,
              dataset_format=DatasetFormat.csv(header=False),
              record_preprocessor_script=PREPROCESSOR_PATH,
              post_analytics_processor_script=POSTPROCESSOR_PATH,
              output_s3_uri=OUTPUT_S3_URI,
              wait=False,
              logs=False,
              monitoring_config_override=monitoring_config_with_invalid_categorical_drift_method,
          )
      assert "Invalid value for monitoring_config_override." in str(
          error
      )
  
imports: from __future__ import absolute_import
  import copy
  import time
  from typing import Union
  import sagemaker
  import pytest
  from mock import Mock, patch, MagicMock
  from sagemaker.model_monitor import ModelMonitor, Constraints, CronExpressionGenerator, DefaultModelMonitor, EndpointInput, BatchTransformInput, ModelQualityMonitor, Statistics, MonitoringOutput, DataQualityMonitoringConfig, DataQualityDistributionConstraints
  from sagemaker.model_monitor.monitoring_alert import MonitoringAlertSummary, MonitoringAlertHistorySummary, MonitoringAlertActions, ModelDashboardIndicatorAction
  from sagemaker.network import NetworkConfig
  from sagemaker.model_monitor.dataset_format import MonitoringDatasetFormat, DatasetFormat
  from tests.unit import SAGEMAKER_CONFIG_MONITORING_SCHEDULE
label_desc: Use image node_id 8 for calling a global function with example usage: test_default_model_monitor_suggest_baseline_with_invalid_categorical_drift_method(sagemaker_session) without return types