code: def create(
      self,
      epsilon: float,
      delta: float,
      metric: Optional[pipeline_dp.Metric],
      is_public_partitions: bool,
  ):
      return DPStrategySelector(
          epsilon, delta, metric, is_public_partitions
      )
  
imports: from dataclasses import dataclass
  from typing import Optional
  import pipeline_dp
  from pipeline_dp import aggregate_params
  from pipeline_dp import dp_computations
  from pipeline_dp import input_validators
label_desc: Use image node_id 1 for calling the DPStrategySelectorFactory obj's underlying member method code with example usage: obj.create(epsilon, delta, metric, is_public_partitions) and returns: DPStrategySelector