code: def range_search(
      self,
      dry_run,
      index: Index,
      search_parameters: Optional[Dict[str, int]],
      radius: Optional[float] = None,
      gt_radius: Optional[float] = None,
      range_search_metric_function=None,
      gt_rsm=None,
  ):
      logger.info("range_search: begin")
      if radius is None:
          assert gt_radius is not None
          radius = (
              gt_radius
              if index.is_flat()
              else self.estimate_range(
                  index,
                  search_parameters,
                  gt_radius,
              )
          )
      logger.info(f"Radius={radius}")
      lims, D, I, R, P, requires = index.range_search(
          dry_run=dry_run,
          search_parameters=search_parameters,
          query_vectors=self.query_vectors,
          radius=radius,
      )
      if requires is not None:
          return None, None, None, None, None, requires
      if range_search_metric_function is not None:
          range_search_metric = range_search_metric_function(R)
          range_search_pr = range_search_pr_curve(
              D, range_search_metric, gt_rsm
          )
          range_score_sum = np.sum(range_search_metric).item()
          P |= {
              "range_score_sum": range_score_sum,
              "range_score_max_recall": range_score_sum / gt_rsm,
              "range_search_pr": range_search_pr,
          }
      return lims, D, I, R, P, requires
  
imports: import logging
  from copy import copy
  from dataclasses import dataclass
  from operator import itemgetter
  from statistics import median, mean
  from typing import Any, Dict, List, Optional
  from .utils import dict_merge
  from .index import Index, IndexFromCodec, IndexFromFactory
  from .descriptors import DatasetDescriptor, IndexDescriptor
  import faiss
  import numpy
  from scipy.optimize import curve_fit
label_desc: Use image node_id 6 for calling the Benchmark obj's underlying member method code with example usage: obj.range_search(dry_run, index, search_parameters, radius, gt_radius, range_search_metric_function, gt_rsm) and returns: lims,  D,  I,  R,  P,  requires, None,  None,  None,  None,  None,  requires