class_docstr: A combiner for computing per-partition raw statistics (count etc).
class_docstr_tok: ["A","combiner","for","computing","per-partition","raw","statistics","(","count","etc",")","."]
code: def compute_metrics(self, acc: AccumulatorType):
      privacy_id_count, count = acc
      return metrics.RawStatistics(privacy_id_count, count)
  
imports: import abc
  import copy
  from dataclasses import dataclass
  from typing import Any, List, Optional, Tuple
  import numpy
  import math
  import pipeline_dp
  from pipeline_dp import budget_accounting
  from pipeline_dp import dp_computations
  from analysis import metrics
  from analysis import poisson_binomial
  from pipeline_dp import partition_selection
label_desc: Use image node_id 2 for calling the RawStatisticsCombiner obj's underlying member method code with example usage: obj.compute_metrics(acc) and returns: metrics