code: def testLift_continuousLabelsAndPredictions(self):
      baseline_examples = [
          {
              "labels": np.array([0.0]),
              "predictions": np.array([0.1]),
              "example_weights": np.array([3.0]),
          },
          {
              "labels": np.array([0.3]),
              "predictions": np.array([0.5]),
              "example_weights": np.array([5.0]),
          },
          {
              "labels": np.array([0.6]),
              "predictions": np.array([0.8]),
              "example_weights": np.array([2.0]),
          },
          {
              "labels": np.array([0.9]),
              "predictions": np.array([0.3]),
              "example_weights": np.array([8.0]),
          },
          {
              "labels": np.array([0.9]),
              "predictions": np.array([0.9]),
              "example_weights": np.array([3.0]),
          },
      ]
  
      comparison_examples = [
          {
              "labels": np.array([0.0]),
              "predictions": np.array([0.8]),
              "example_weights": np.array([1.0]),
          },
          {
              "labels": np.array([0.2]),
              "predictions": np.array([0.3]),
              "example_weights": np.array([2.0]),
          },
          {
              "labels": np.array([0.5]),
              "predictions": np.array([0.5]),
              "example_weights": np.array([5.0]),
          },
          {
              "labels": np.array([0.7]),
              "predictions": np.array([0.4]),
              "example_weights": np.array([2.0]),
          },
          {
              "labels": np.array([0.9]),
              "predictions": np.array([0.3]),
              "example_weights": np.array([3.0]),
          },
      ]
  
      self._assert_test(
          3, baseline_examples, comparison_examples, -0.136013986
      )
  
imports: from absl.testing import parameterized
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  from tensorflow_model_analysis.addons.fairness.metrics import lift
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.proto import config_pb2
label_desc: Use image node_id 2 for calling the LiftTest obj's underlying member method code with example usage: obj.testLift_continuousLabelsAndPredictions() without return types