code: def testGetSlicesForFeaturesDictMultipleSingleSliceSpecs(self):
      features_dict = self._makeFeaturesDict(
          {"gender": ["f"], "age": [5], "interest": ["cars"]}
      )
  
      spec_overall = slicer.SingleSliceSpec()
      spec_age = slicer.SingleSliceSpec(columns=["age"])
      spec_age4 = slicer.SingleSliceSpec(features=[("age", 4)])
      spec_age5_gender = slicer.SingleSliceSpec(
          columns=["gender"], features=[("age", 5)]
      )
  
      slice_spec = [spec_overall, spec_age, spec_age4, spec_age5_gender]
      expected = [(), (("age", 5),), (("age", 5), ("gender", "f"))]
      self.assertCountEqual(
          expected,
          slicer.get_slices_for_features_dicts(
              [features_dict], None, slice_spec
          ),
      )
  
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 11 for calling the SlicerTest obj's underlying member method code with example usage: obj.testGetSlicesForFeaturesDictMultipleSingleSliceSpecs() without return types