code: def testDoWithEnableVertexOverride(self):
      executor = ai_platform_tuner_executor.Executor()
      enable_vertex = True
      vertex_region = "us-central2"
      self._exec_properties[standard_component_specs.CUSTOM_CONFIG_KEY][
          constants.ENABLE_VERTEX_KEY
      ] = enable_vertex
      self._exec_properties[standard_component_specs.CUSTOM_CONFIG_KEY][
          constants.VERTEX_REGION_KEY
      ] = vertex_region
      executor.Do(
          self._inputs,
          self._outputs,
          self._serialize_custom_config_under_test(),
      )
      self.mock_runner.start_cloud_training.assert_called_with(
          self._inputs,
          self._outputs,
          self._serialize_custom_config_under_test(),
          self._executor_class_path,
          {
              "project": self._project_id,
              "jobDir": self._job_dir,
          },
          self._job_id,
          None,
          enable_vertex,
          vertex_region,
      )
  
imports: import copy
  import os
  from typing import Any, Dict
  from unittest import mock
  import tensorflow
  from tfx.extensions.google_cloud_ai_platform import constants
  from tfx.extensions.google_cloud_ai_platform.trainer import executor
  from tfx.extensions.google_cloud_ai_platform.tuner import executor
  from tfx.proto import tuner_pb2
  from tfx.types import standard_component_specs
  from tfx.utils import json_utils
  from tfx.utils import name_utils
  from tfx.utils import proto_utils
label_desc: Use image node_id 7 for calling the ExecutorTest obj's underlying member method code with example usage: obj.testDoWithEnableVertexOverride() without return types