class_docstr: A combiner for utility analysis privacy ID counts.
class_docstr_tok: ["A","combiner","for","utility","analysis","privacy","ID","counts","."]
code: def get_sensitivities(self) -> dp_computations.Sensitivities:
      return dp_computations.compute_sensitivities_for_privacy_id_count(
          self._params
      )
  
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 3 for calling the PrivacyIdCountCombiner obj's underlying member method code with example usage: obj.get_sensitivities() and returns: dp_computations