code: def test_no_feature_falls_in_partition(self):
      # Note: default partitioner assigns a->0, b->1
      b1 = pa.RecordBatch.from_arrays(
          [
              pa.array([[1.0, 2.0], [3.0, 4.0, 5.0]]),
              pa.array([["abc"], ["xyz"]]),
          ],
          ["a", "b"],
      )
      batches = [b1]
      expected_result = {}
      generator = basic_stats_generator.BasicStatsGenerator(
          num_values_histogram_buckets=4,
          num_histogram_buckets=3,
          num_quantiles_histogram_buckets=4,
      )
      generator = generator._copy_for_partition_index(0, 3)
      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 4 for calling the BasicStatsGeneratorTest obj's underlying member method code with example usage: obj.test_no_feature_falls_in_partition() without return types