class_docstr: A stats generator meant to be used as a part of a composite generator.
  
  A constituent stats generator facilitates sharing logic between several stats
  generators. It is functionally identical to a beam.CombineFn, but it expects
  add_input to be called with instances of InputBatch.
docstr: Returns the ID of this specific generator.
  
  Returns:
    A unique ID for this stats generator class instance.
docstr_tok: ["Returns","the","ID","of","this","specific","generator",".","Returns",":","A","unique","ID","for","this","stats","generator","class","instance","."]
code: def get_key(self) -> Hashable:
      """Returns the ID of this specific generator.
  
      Returns:
        A unique ID for this stats generator class instance.
      """
  
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 ConstituentStatsGenerator obj's underlying member method code with example usage: obj.get_key() without return types