code: def setUp(self):
      super().setUp()
      self.chicago_taxi_pipeline_dir = os.path.join(
          os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
          "testdata",
      )
  
      self._home = self.tmp_dir
      self.enter_context(
          test_case_utils.change_working_dir(self.tmp_dir)
      )
      self.enter_context(
          test_case_utils.override_env_var("HOME", self._home)
      )
      self._vertex_home = os.path.join(self._home, "vertex")
      self.enter_context(
          test_case_utils.override_env_var(
              "VERTEX_HOME", self._vertex_home
          )
      )
  
      # Flags for handler.
      self.engine = "vertex"
      self.pipeline_path = os.path.join(
          self.chicago_taxi_pipeline_dir,
          "test_pipeline_kubeflow_v2_1.py",
      )
      self.pipeline_name = _TEST_PIPELINE_NAME
      self.pipeline_root = os.path.join(
          self._home, "tfx", "pipelines", self.pipeline_name
      )
      self.run_id = "dummyID"
      self.project = "gcp_project_1"
      self.region = "us-central1"
  
      self.runtime_parameter = {"a": "1", "b": "2"}
  
      # Setting up Mock for API client, so that this Python test is hermetic.
      # subprocess Mock will be setup per-test.
      self.addCleanup(mock.patch.stopall)
  
imports: import os
  import sys
  from unittest import mock
  from google.cloud import aiplatform
  from google.cloud.aiplatform import pipeline_jobs
  import tensorflow
  from tfx.dsl.io import fileio
  from tfx.tools.cli import labels
  from tfx.tools.cli.handler import vertex_handler
  from tfx.utils import test_case_utils
label_desc: Use image node_id 1 for calling the VertexHandlerTest obj's underlying member method code with example usage: obj.setUp() without return types