class_docstr: A combiner for utility analysis sums.
class_docstr_tok: ["A","combiner","for","utility","analysis","sums","."]
code: def _get_std_noise(self) -> float:
      sensitivities = self.get_sensitivities()
      mechanism = dp_computations.create_additive_mechanism(
          self._spec, sensitivities
      )
      return mechanism.std
  
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 5 for calling the SumCombiner obj's underlying member method code with example usage: obj._get_std_noise() and returns: mechanism