code: def testCompileTwoStepPipelineWithoutDefaultImage(
      self, fake_now, fake_tfx_version
  ):
      fake_now.return_value = datetime.date(2020, 1, 1)
      fake_tfx_version.__version__ = "1.13.0.dev"
      images = {
          "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_without_default_image.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 5 for calling the KubeflowV2DagRunnerTest obj's underlying member method code with example usage: obj.testCompileTwoStepPipelineWithoutDefaultImage(fake_now, fake_tfx_version) without return types