code: def testCompileTwoStepPipelineWithMultipleImages(self, fake_now):
      fake_now.return_value = datetime.date(2020, 1, 1)
      images = {
          kubeflow_v2_dag_runner._DEFAULT_IMAGE_PATH_KEY: "gcr.io/my-tfx:latest",
          "BigQueryExampleGen": "gcr.io/big-query:1.0.0",
      }
      runner = kubeflow_v2_dag_runner.KubeflowV2DagRunner(
          output_dir=_TEST_DIR,
          output_filename=_TEST_FILE_NAME,
          config=kubeflow_v2_dag_runner.KubeflowV2DagRunnerConfig(
              display_name="my-pipeline", default_image=images
          ),
      )
  
      self._compare_against_testdata(
          runner=runner,
          pipeline=test_utils.two_step_pipeline(),
          golden_file="expected_two_step_pipeline_job_with_multiple_images.json",
      )
  
imports: import collections
  import datetime
  import json
  import os
  from unittest import mock
  import tensorflow
  from tfx import version
  from tfx.dsl.components.base import base_component
  from tfx.orchestration import pipeline
  from tfx.orchestration.kubeflow.v2 import kubeflow_v2_dag_runner
  from tfx.orchestration.kubeflow.v2 import test_utils
  from tfx.utils import telemetry_utils
  from tfx.utils import test_case_utils
label_desc: Use image node_id 4 for calling the KubeflowV2DagRunnerTest obj's underlying member method code with example usage: obj.testCompileTwoStepPipelineWithMultipleImages(fake_now) without return types