code: def testDeserializeSliceSpec_hashable(self):
      single_slice_spec = slicer.deserialize_slice_spec(
          config_pb2.SlicingSpec(feature_values={"a": "1"})
      )
      cross_slice_spec = slicer.deserialize_slice_spec(
          slicer.config_pb2.CrossSlicingSpec(
              baseline_spec=config_pb2.SlicingSpec(),
              slicing_specs=[
                  config_pb2.SlicingSpec(feature_values={"b": "2"})
              ],
          )
      )
      # Check either of them can be hashed and used as keys.
      slice_map = {single_slice_spec: 1, cross_slice_spec: 2}
      self.assertEqual(slice_map[single_slice_spec], 1)
      self.assertEqual(slice_map[cross_slice_spec], 2)
  
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 18 for calling the SlicerTest obj's underlying member method code with example usage: obj.testDeserializeSliceSpec_hashable() without return types