class_docstr: Options for generating statistics.
class_docstr_tok: ["Options","for","generating","statistics","."]
code: def desired_batch_size(self) -> Optional[int]:
      return self._desired_batch_size
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import json
  import logging
  import types
  from typing import Dict, List, Optional, Text, Union
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import stats_generator
  from tensorflow_data_validation.utils import example_weight_map
  from tensorflow_data_validation.utils import schema_util
  from tensorflow_data_validation.utils import slicing_util
  from tfx_bsl.arrow import sql_util
  from tfx_bsl.coders import example_coder
  from tfx_bsl.public.proto import slicing_spec_pb2
  from google.protobuf import json_format
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 27 for calling the StatsOptions obj's underlying member method code with example usage: obj.desired_batch_size() and returns: self