class_docstr: Common utilities for kubeflow engine.
class_docstr_tok: ["Common","utilities","for","kubeflow","engine","."]
code: def setUp(self):
      super().setUp()
      self._namespace = "kubeflow"
      self._endpoint = self._get_endpoint(self._namespace)
      self._kfp_client = kfp.Client(host=self._endpoint)
      logging.info("ENDPOINT: %s", self._endpoint)
      self.enter_context(
          test_case_utils.override_env_var(
              "KUBEFLOW_HOME", os.path.join(self._temp_dir, "kubeflow")
          )
      )
  
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 1 for calling the BaseKubeflowEndToEndTest obj's underlying member method code with example usage: obj.setUp() without return types