class_docstr: Common utilities for kubeflow engine.
class_docstr_tok: ["Common","utilities","for","kubeflow","engine","."]
code: def _get_kfp_runs(self):
      # CLI uses experiment_name which is the same as pipeline_name.
      experiment_id = self._kfp_client.get_experiment(
          experiment_name=self._pipeline_name
      ).id
      response = self._kfp_client.list_runs(experiment_id=experiment_id)
      return response.runs
  
imports: import datetime
  import os
  import subprocess
  import tarfile
  from absl import logging
  from google.cloud import aiplatform
  import kfp
  from tfx.dsl.io import fileio
  from tfx.experimental.templates import test_utils
  from tfx.orchestration import test_utils
  from tfx.orchestration.kubeflow import test_utils
  from tfx.orchestration.kubeflow.v2 import vertex_client_utils
  from tfx.utils import docker_utils
  from tfx.utils import io_utils
  from tfx.utils import retry
  from tfx.utils import telemetry_utils
  from tfx.utils import test_case_utils
  import yaml
label_desc: Use image node_id 4 for calling the BaseKubeflowEndToEndTest obj's underlying member method code with example usage: obj._get_kfp_runs() and returns: response