class_docstr: Generate feature level statistics using combiner function.
  
  This interface is a simplification of CombinerStatsGenerator for the special
  case of statistics that do not require cross-feature computations. It mirrors
  a beam.CombineFn for the values of a specific feature.
docstr: Returns result of folding a batch of inputs into accumulator.
  
  Args:
    accumulator: The current accumulator.
    feature_path: The path of the feature.
    feature_array: An arrow Array representing a batch of feature values
      which should be added to the accumulator.
  
  Returns:
    The accumulator after updating the statistics for the batch of inputs.
docstr_tok: ["Returns","result","of","folding","a","batch","of","inputs","into","accumulator",".","Args",":","accumulator",":","The","current","accumulator",".","feature_path",":","The","path","of","the","feature",".","feature_array",":","An","arrow","Array","representing","a","batch","of","feature","values","which","should","be","added","to","the","accumulator",".","Returns",":","The","accumulator","after","updating","the","statistics","for","the","batch","of","inputs","."]
code: def add_input(
      self,
      accumulator: ACCTYPE,
      feature_path: types.FeaturePath,
      feature_array: pa.Array,
  ) -> ACCTYPE:
      """Returns result of folding a batch of inputs into accumulator.
  
      Args:
        accumulator: The current accumulator.
        feature_path: The path of the feature.
        feature_array: An arrow Array representing a batch of feature values
          which should be added to the accumulator.
  
      Returns:
        The accumulator after updating the statistics for the batch of inputs.
      """
      raise NotImplementedError
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  from typing import Any, Dict, Generic, Hashable, Iterable, List, Optional, Text, TypeVar
  import apache_beam
  import pyarrow
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import input_batch
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 3 for calling the CombinerFeatureStatsGenerator obj's underlying member method code with example usage: obj.add_input(accumulator, feature_path, feature_array) without return types