code: def testLaunchWithErrorCode(self, mock_docker_client, mock_publisher):
      mock_publisher.return_value.publish_execution.return_value = {}
      mock_run = mock_docker_client.return_value.containers.run
      mock_run.return_value.logs.return_value = []
      mock_run.return_value.wait.return_value = {"StatusCode": 1}
      context = self._create_launcher_context()
  
      with self.assertRaises(RuntimeError):
          execution_info = self._set_up_test_execution_info(
              input_dict={"input": [context["input_artifact"]]}
          )
          context["operator"].run_executor(execution_info)
  
file_path: tfx/tfx/orchestration/portable/docker_executor_operator_test.py
imports: import os
  from unittest import mock
  import docker
  import tensorflow
  from tfx.orchestration import publisher
  from tfx.orchestration.launcher import test_utils
  from tfx.orchestration.portable import data_types
  from tfx.orchestration.portable import docker_executor_operator
  from tfx.proto.orchestration import executable_spec_pb2
  from tfx.proto.orchestration import pipeline_pb2
  from tfx.proto.orchestration import platform_config_pb2
  from google.protobuf import text_format
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 3 for calling the DockerComponentLauncherTest obj's underlying member method code with example usage: obj.testLaunchWithErrorCode(mock_docker_client, mock_publisher) without return types