code: def testTaxiPipelineHello(self):
      BeamDagRunner().run(
          taxi_pipeline_hello._create_pipeline(
              pipeline_name=self._pipeline_name,
              data_root=self._data_root,
              pipeline_root=self._pipeline_root,
              metadata_path=self._metadata_path,
          )
      )
  
      self.assertTrue(fileio.exists(self._metadata_path))
      metadata_config = metadata.sqlite_metadata_connection_config(
          self._metadata_path
      )
      with metadata.Metadata(metadata_config) as m:
          artifact_count = len(m.store.get_artifacts())
          execution_count = len(m.store.get_executions())
          self.assertGreaterEqual(artifact_count, execution_count)
  
      self.assertPipelineExecution()
  
      # Run pipeline again.
      BeamDagRunner().run(
          taxi_pipeline_hello._create_pipeline(
              pipeline_name=self._pipeline_name,
              data_root=self._data_root,
              pipeline_root=self._pipeline_root,
              metadata_path=self._metadata_path,
          )
      )
  
      # Assert cache execution.
      with metadata.Metadata(metadata_config) as m:
          # Artifact count is unchanged.
          self.assertEqual(artifact_count, len(m.store.get_artifacts()))
  
      self.assertPipelineExecution()
  
file_path: tfx/tfx/examples/custom_components/hello_world/example/taxi_pipeline_hello_e2e_test.py
imports: import os
  import tensorflow
  from tfx.dsl.io import fileio
  from tfx.examples.custom_components.hello_world.example import taxi_pipeline_hello
  from tfx.orchestration import metadata
  from tfx.orchestration.beam.beam_dag_runner import BeamDagRunner
label_desc: Use image node_id 4 for calling the TaxiPipelineHelloEndToEndTest obj's underlying member method code with example usage: obj.testTaxiPipelineHello() without return types