code: def assertSliceResult(
      self, name, features_dict, columns, features, expected
  ):
      spec = slicer.SingleSliceSpec(columns=columns, features=features)
      msg = "Test case %s: slice on columns %s, features %s" % (
          name,
          columns,
          features,
      )
      six.assertCountEqual(
          self,
          expected,
          slicer.get_slices_for_features_dicts(
              [features_dict], None, [spec]
          ),
          msg,
      )
  
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 3 for calling the SlicerTest obj's underlying member method code with example usage: obj.assertSliceResult(name, features_dict, columns, features, expected) without return types