code: def test_anomalies_slicer(
      self, input_anomalies_proto_text, expected_slice_keys
  ):
      example = pa.RecordBatch.from_arrays([])
      anomalies = text_format.Parse(
          input_anomalies_proto_text, anomalies_pb2.Anomalies()
      )
      slicer = anomalies_util.get_anomalies_slicer(anomalies)
      actual_slice_keys = []
      for slice_key, actual_example in slicer(example):
          self.assertEqual(actual_example, example)
          actual_slice_keys.append(slice_key)
      self.assertCountEqual(actual_slice_keys, expected_slice_keys)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import flags
  from absl.testing import absltest
  from absl.testing import parameterized
  import pyarrow
  from tensorflow_data_validation.utils import anomalies_util
  from google.protobuf import text_format
  from tensorflow.python.util.protobuf import compare
  from tensorflow_metadata.proto.v0 import anomalies_pb2
label_desc: Use image node_id 4 for calling the AnomaliesUtilTest obj's underlying member method code with example usage: obj.test_anomalies_slicer(input_anomalies_proto_text, expected_slice_keys) without return types