code: def test_binary(self):
      ds = datasets.SyntheticDataset(64, 1000, 1000, 200)
      tobinary = faiss.index_factory(ds.d, "LSHrt")
      tobinary.train(ds.get_train())
      index = faiss.IndexBinaryFlat(ds.d)
      xb = tobinary.sa_encode(ds.get_database())
      xq = tobinary.sa_encode(ds.get_queries())
      index.add(xb)
  
      # find a reasonable radius
      D, _ = index.search(xq, 10)
      radius0 = int(np.median(D[:, -1]))
  
      # baseline = search with that radius
      lims_ref, Dref, Iref = index.range_search(xq, radius0)
  
      # now see if using just the total number of results, we can get back
      # the same result table
      query_iterator = exponential_query_iterator(xq)
  
      radius1, lims_new, Dnew, Inew = range_search_max_results(
          index,
          query_iterator,
          ds.d // 2,
          min_results=Dref.size,
          clip_to_min=True,
      )
  
      evaluation.check_ref_range_results(
          lims_ref, Dref, Iref, lims_new, Dnew, Inew
      )
  
imports: import faiss
  import unittest
  import numpy
  import platform
  import os
  import random
  import tempfile
  from faiss.contrib import datasets
  from faiss.contrib import inspect_tools
  from faiss.contrib import evaluation
  from faiss.contrib import ivf_tools
  from faiss.contrib import clustering
  from faiss.contrib import big_batch_search
  from common_faiss_tests import get_dataset_2
label_desc: Use image node_id 4 for calling the TestRangeSearchMaxResults obj's underlying member method code with example usage: obj.test_binary() without return types