code: def test_L2(self):
      search_Ls = [10, 20, 30]
      thresholds = [0.83, 0.92, 0.95]
      for search_L, threshold in zip(search_Ls, thresholds):
          self.subtest(32, faiss.METRIC_L2, 10, search_L, threshold)
  
imports: from __future__ import absolute_import, division, print_function
  import unittest
  import faiss
  import numpy
  from common_faiss_tests import Randu10k, get_dataset_2, Randu10kUnbalanced
label_desc: Use image node_id 2 for calling the TestNNDescent obj's underlying member method code with example usage: obj.test_L2() without return types