text: from n2 import HnswIndex
  import random
  
  f = 3
  t = HnswIndex(f, "L2")  # HnswIndex(f, "L2 or angular")
  for i in xrange(1000):
      v = [random.gauss(0, 1) for z in xrange(f)]
      t.add_data(v)
  
  t.build(m=5, max_m0=10, n_threads=4)
  t.save('test.n2')
  
  u = HnswIndex(f, "L2")
  u.load('test.n2')
  
  search_id = 1
  k = 3
  neighbor_ids = u.search_by_id(search_id, k)
  print(
      "[search_by_id]: Nearest neighborhoods of id {}: {}".format(
          search_id,
          neighbor_ids))
  
  example_vector_query = [random.gauss(0, 1) for z in xrange(f)]
  nns = u.search_by_vector(example_vector_query, k, include_distances=True)
  print(
      "[search_by_vector]: Nearest neighborhoods of vector {}: {}".format(
          example_vector_query,
          nns))
  