class_docstr: Combiner for computing DP privacy id count.
  The type of the accumulator is int, which represents count of the elements
  in the dataset for which this accumulator is computed.
class_docstr_tok: ["Combiner","for","computing","DP","privacy","id","count",".","The","type","of","the","accumulator","is","int",",","which","represents","count","of","the","elements","in","the","dataset","for","which","this","accumulator","is","computed","."]
code: def merge_accumulators(
      self, accumulator1: AccumulatorType, accumulator2: AccumulatorType
  ):
      return accumulator1 + accumulator2
  
imports: import abc
  import copy
  from typing import Iterable, Sized, Tuple, List
  import pipeline_dp
  import numpy
  from collections import namedtuple
label_desc: Use image node_id 2 for calling the RawPrivacyIdCountCombiner obj's underlying member method code with example usage: obj.merge_accumulators(accumulator1, accumulator2) and returns: unknown