code: def faiss_eval_search(
      index, xq, xb, nprobe_tab, pre_reorder_k_tab, k, gt, nrun, measure
  ):
      import faiss
  
      print(
          "use precomputed table=",
          index.use_precomputed_table,
          "by residual=",
          index.by_residual,
      )
  
      print("adding a refine index")
      index_refine = faiss.IndexRefineFlat(index, faiss.swig_ptr(xb))
  
      print("set single thread")
      faiss.omp_set_num_threads(1)
  
      print("warmup")
      for _run in range(5):
          index.search(xq, k)
  
      print("run timing")
      for nprobe in nprobe_tab:
          for pre_reorder_k in pre_reorder_k_tab:
              index.nprobe = nprobe
              times = []
              for _run in range(nrun):
                  if pre_reorder_k == 0:
                      t0 = time.time()
                      D, I = index.search(xq, k)
                      t1 = time.time()
                  else:
                      index_refine.k_factor = pre_reorder_k / k
                      t0 = time.time()
                      D, I = index_refine.search(xq, k)
                      t1 = time.time()
  
                  times.append(t1 - t0)
  
              header = "Faiss nprobe=%4d reo=%4d" % (
                  nprobe,
                  pre_reorder_k,
              )
              if measure == "1-recall":
                  eval_recalls(header, I, gt, times)
              else:
                  eval_inters(header, I, gt, times)
  
file_path: faiss/benchs/bench_all_ivf/cmp_with_scann.py
imports: import time
  import sys
  import os
  import argparse
  import numpy
label_desc: Use image node_id 7 for calling a global function with example usage: faiss_eval_search(index, xq, xb, nprobe_tab, pre_reorder_k_tab, k, gt, nrun, measure) without return types