code: def test_schema_claims_bytes_but_actually_int(self):
      schema = text_format.Parse(
          """
          feature {
            name: "a"
            type: BYTES
            image_domain { }
          }""",
          schema_pb2.Schema(),
      )
      batches = [
          pa.RecordBatch.from_arrays(
              [pa.array([], type=pa.list_(pa.int64()))], ["a"]
          )
      ]
      expected_result = {
          types.FeaturePath(["a"]): text_format.Parse(
              """
              type: INT
              num_stats {
                common_stats {
                }
              }
              path {
                step: "a"
              }
              """,
              statistics_pb2.FeatureNameStatistics(),
          )
      }
      generator = basic_stats_generator.BasicStatsGenerator(
          schema=schema,
          num_values_histogram_buckets=2,
          num_histogram_buckets=3,
          num_quantiles_histogram_buckets=4,
      )
      self.assertCombinerOutputEqual(
          batches, generator, expected_result
      )
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import pyarrow
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import basic_stats_generator
  from tensorflow_data_validation.utils import test_util
  from tensorflow_data_validation.utils.example_weight_map import ExampleWeightMap
  from google.protobuf import text_format
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 20 for calling the BasicStatsGeneratorTest obj's underlying member method code with example usage: obj.test_schema_claims_bytes_but_actually_int() without return types