class_docstr: Combiner for computing DP 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","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 compute_metrics(self, count: AccumulatorType) -> float:
      return count
  
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 3 for calling the RawCountCombiner obj's underlying member method code with example usage: obj.compute_metrics(count) and returns: count