code: def testIsCrossSliceApplicable(self):
      test_cases = [
          (
              True,
              "overall pass",
              ((), (("b", 2),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_values={"b": "2"})
                  ],
              ),
          ),
          (
              True,
              "value pass",
              ((("a", 1),), (("b", 2),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(
                      feature_values={"a": "1"}
                  ),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_values={"b": "2"})
                  ],
              ),
          ),
          (
              True,
              "baseline key pass",
              ((("a", 1),), (("b", 2),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(
                      feature_keys=["a"]
                  ),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_values={"b": "2"})
                  ],
              ),
          ),
          (
              True,
              "comparison key pass",
              ((("a", 1),), (("b", 2),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(
                      feature_values={"a": "1"}
                  ),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_keys=["b"])
                  ],
              ),
          ),
          (
              True,
              "comparison multiple key pass",
              ((("a", 1),), (("c", 3),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(
                      feature_values={"a": "1"}
                  ),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_keys=["b"]),
                      config_pb2.SlicingSpec(feature_keys=["c"]),
                  ],
              ),
          ),
          (
              False,
              "overall fail",
              ((("a", 1),), (("b", 2),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_values={"b": "2"})
                  ],
              ),
          ),
          (
              False,
              "value fail",
              ((("a", 1),), (("b", 3),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(
                      feature_values={"a": "1"}
                  ),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_values={"b": "2"})
                  ],
              ),
          ),
          (
              False,
              "baseline key fail",
              ((("c", 1),), (("b", 2),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(
                      feature_keys=["a"]
                  ),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_values={"b": "2"})
                  ],
              ),
          ),
          (
              False,
              "comparison key fail",
              ((("a", 1),), (("c", 3),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(
                      feature_values={"a": "1"}
                  ),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_keys=["b"])
                  ],
              ),
          ),
          (
              False,
              "comparison multiple key fail",
              ((("a", 1),), (("d", 3),)),
              config_pb2.CrossSlicingSpec(
                  baseline_spec=config_pb2.SlicingSpec(
                      feature_values={"a": "1"}
                  ),
                  slicing_specs=[
                      config_pb2.SlicingSpec(feature_keys=["b"]),
                      config_pb2.SlicingSpec(feature_keys=["c"]),
                  ],
              ),
          ),
      ]  # pyformat: disable
      for expected_result, name, sliced_key, slicing_spec in test_cases:
          self.assertEqual(
              expected_result,
              slicer.is_cross_slice_applicable(
                  cross_slice_key=sliced_key,
                  cross_slicing_spec=slicing_spec,
              ),
              msg=name,
          )
  
imports: from absl.testing import parameterized
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import six
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.extractors import slice_key_extractor
  from tensorflow_model_analysis.post_export_metrics import metric_keys
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.proto import metrics_for_slice_pb2
  from tensorflow_model_analysis.slicer import slicer_lib
  from google.protobuf import text_format
label_desc: Use image node_id 15 for calling the SlicerTest obj's underlying member method code with example usage: obj.testIsCrossSliceApplicable() without return types