code: def setUp(self):
      super().setUp()
  
      # Example artifacts for testing.
      self.raw_examples_importer = importer.Importer(
          source_uri=os.path.join(
              self._test_data_dir, "csv_example_gen"
          ),
          artifact_type=standard_artifacts.Examples,
          reimport=True,
          properties={"split_names": '["train", "eval"]'},
      ).with_id("raw_examples")
  
      # Schema artifact for testing.
      self.schema_importer = importer.Importer(
          source_uri=os.path.join(self._test_data_dir, "schema_gen"),
          artifact_type=standard_artifacts.Schema,
          reimport=True,
      ).with_id("schema")
  
      # Model artifact for testing.
      self.model_1_importer = importer.Importer(
          source_uri=os.path.join(
              self._test_data_dir, "trainer", "previous"
          ),
          artifact_type=standard_artifacts.Model,
          reimport=True,
      ).with_id("model_1")
  
file_path: tfx/tfx/orchestration/kubeflow/e2e_tests/kubeflow_dataflow_integration_test.py
imports: import os
  import absl
  import tensorflow
  from tfx.components.evaluator.component import Evaluator
  from tfx.components.example_gen.csv_example_gen.component import CsvExampleGen
  from tfx.components.statistics_gen.component import StatisticsGen
  from tfx.components.transform.component import Transform
  from tfx.dsl.components.common import importer
  from tfx.orchestration import test_utils
  from tfx.orchestration.kubeflow import test_utils
  from tfx.proto import evaluator_pb2
  from tfx.types import standard_artifacts
label_desc: Use image node_id 1 for calling the KubeflowDataflowIntegrationTest obj's underlying member method code with example usage: obj.setUp() without return types