code: def _create_launcher_context(self, component_config=None):
      test_dir = self.get_temp_dir()
  
      connection_config = metadata_store_pb2.ConnectionConfig()
      connection_config.sqlite.SetInParent()
  
      input_artifact = test_utils._InputArtifact()
      input_artifact.uri = os.path.join(test_dir, "input")
  
      operator = (
          kubernetes_executor_operator.KubernetesExecutorOperator(_SEPC)
      )
  
      return {"operator": operator, "input_artifact": input_artifact}
  
imports: import os
  from unittest import mock
  from kubernetes import client
  from kubernetes import config
  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 kubernetes_executor_operator
  from tfx.proto.orchestration import executable_spec_pb2
  from tfx.proto.orchestration import pipeline_pb2
  from tfx.utils import kube_utils
  from google.protobuf import text_format
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 3 for calling the KubernetesComponentLauncherTest obj's underlying member method code with example usage: obj._create_launcher_context(component_config) and returns: dict