code: def _mock_launcher_pod(self):
      return client.V1Pod(
          metadata=client.V1ObjectMeta(
              owner_references=[
                  client.V1OwnerReference(
                      api_version="argoproj.io/v1alpha1",
                      kind="Workflow",
                      name="wf-1",
                      uid="wf-uid-1",
                  )
              ]
          ),
          spec=client.V1PodSpec(containers=[], service_account="sa-1"),
      )
  
imports: import os
  from unittest import mock
  from kubernetes import client
  from kubernetes import config
  import tensorflow
  from tfx.dsl.components.base import base_executor
  from tfx.dsl.components.base import executor_spec
  from tfx.orchestration import data_types
  from tfx.orchestration import metadata
  from tfx.orchestration import publisher
  from tfx.orchestration.config import kubernetes_component_config
  from tfx.orchestration.launcher import kubernetes_component_launcher
  from tfx.orchestration.launcher import test_utils
  from tfx.types import channel_utils
  from tfx.utils import kube_utils
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 6 for calling the KubernetesComponentLauncherTest obj's underlying member method code with example usage: obj._mock_launcher_pod() and returns: client