code: def testGetSlicesForFeaturesDictMultivalent(self):
      test_cases = [
          (
              "One column",
              ["fruits"],
              [],
              [(("fruits", "apples"),), (("fruits", "pears"),)],
          ),
          (
              "Two columns",
              ["fruits", "interests"],
              [],
              [
                  (("fruits", "apples"), ("interests", "cars")),
                  (("fruits", "apples"), ("interests", "dogs")),
                  (("fruits", "pears"), ("interests", "cars")),
                  (("fruits", "pears"), ("interests", "dogs")),
              ],
          ),
          (
              "One feature",
              [],
              [("interests", "cars")],
              [(("interests", "cars"),)],
          ),
          (
              "Two features",
              [],
              [("gender", "f"), ("interests", "cars")],
              [(("gender", "f"), ("interests", "cars"))],
          ),
          (
              "One column, one feature",
              ["fruits"],
              [("interests", "cars")],
              [
                  (("fruits", "apples"), ("interests", "cars")),
                  (("fruits", "pears"), ("interests", "cars")),
              ],
          ),
          (
              "One column, two features",
              ["fruits"],
              [("gender", "f"), ("interests", "cars")],
              [
                  (
                      ("fruits", "apples"),
                      ("gender", "f"),
                      ("interests", "cars"),
                  ),
                  (
                      ("fruits", "pears"),
                      ("gender", "f"),
                      ("interests", "cars"),
                  ),
              ],
          ),
          (
              "Two columns, one feature",
              ["interests", "fruits"],
              [("gender", "f")],
              [
                  (
                      ("fruits", "apples"),
                      ("gender", "f"),
                      ("interests", "cars"),
                  ),
                  (
                      ("fruits", "pears"),
                      ("gender", "f"),
                      ("interests", "cars"),
                  ),
                  (
                      ("fruits", "apples"),
                      ("gender", "f"),
                      ("interests", "dogs"),
                  ),
                  (
                      ("fruits", "pears"),
                      ("gender", "f"),
                      ("interests", "dogs"),
                  ),
              ],
          ),
          (
              "Two columns, two features",
              ["interests", "fruits"],
              [("gender", "f"), ("age", 5)],
              [
                  (
                      ("age", 5),
                      ("fruits", "apples"),
                      ("gender", "f"),
                      ("interests", "cars"),
                  ),
                  (
                      ("age", 5),
                      ("fruits", "pears"),
                      ("gender", "f"),
                      ("interests", "cars"),
                  ),
                  (
                      ("age", 5),
                      ("fruits", "apples"),
                      ("gender", "f"),
                      ("interests", "dogs"),
                  ),
                  (
                      ("age", 5),
                      ("fruits", "pears"),
                      ("gender", "f"),
                      ("interests", "dogs"),
                  ),
              ],
          ),
      ]  # pyformat: disable
  
      features_dict = self._makeFeaturesDict(
          {
              "gender": ["f"],
              "age": [5],
              "interests": ["cars", "dogs"],
              "fruits": ["apples", "pears"],
          }
      )
  
      for name, columns, features, expected in test_cases:
          self.assertSliceResult(
              name, features_dict, columns, features, expected
          )
  
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 10 for calling the SlicerTest obj's underlying member method code with example usage: obj.testGetSlicesForFeaturesDictMultivalent() without return types