class_docstr: Combiner for computing dp sum.
  
  the type of the accumulator is int, which represents sum of the elements
  in the dataset for which this accumulator is computed.
class_docstr_tok: ["Combiner","for","computing","dp","sum",".","the","type","of","the","accumulator","is","int",",","which","represents","sum","of","the","elements","in","the","dataset","for","which","this","accumulator","is","computed","."]
code: def metrics_names(self) -> List[str]:
      return ["non_private_sum"]
  
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 4 for calling the RawSumCombiner obj's underlying member method code with example usage: obj.metrics_names() and returns: list