code: def testDeleteModelVersionForAIPPrediction(self, mock_discovery):
      self._setUpDeleteModelVersionMocks()
  
      runner.delete_model_from_aip_if_exists(
          ai_platform_serving_args=self._ai_platform_serving_args,
          api=self._mock_api_client,
          model_version_name=self._model_version,
      )
  
      self._assertDeleteModelVersionMockCalls()
  
imports: import copy
  import importlib
  import os
  from typing import Any, Dict
  from unittest import mock
  from google.auth import credentials
  from google.cloud import aiplatform
  from google.cloud.aiplatform import initializer
  from google.cloud.aiplatform.compat.types import endpoint
  from google.cloud.aiplatform_v1.services.endpoint_service import client
  from google.cloud.aiplatform_v1.types.custom_job import CustomJob
  from google.cloud.aiplatform_v1.types.job_state import JobState
  from googleapiclient import errors
  import httplib2
  import tensorflow
  from tfx.extensions.google_cloud_ai_platform import prediction_clients
  from tfx.extensions.google_cloud_ai_platform import runner
  from tfx.extensions.google_cloud_ai_platform.trainer import executor
  from tfx.utils import json_utils
  from tfx.utils import telemetry_utils
  from tfx.utils import version_utils
label_desc: Use image node_id 23 for calling the RunnerTest obj's underlying member method code with example usage: obj.testDeleteModelVersionForAIPPrediction(mock_discovery) without return types