code: def test_include_distances():
      # See #633
      # (Not able to repro it though)
      f = 10
      i = AnnoyIndex(f, "euclidean")
      for j in range(10000):
          i.add_item(j, [random.gauss(0, 1) for x in range(f)])
      i.build(10)
  
      v = [random.gauss(0, 1) for x in range(f)]
      for _ in range(10000000):
          indices, distances = i.get_nns_by_vector(
              v, 1, include_distances=True
          )
  
imports: import pytest
  import random
  from annoy import AnnoyIndex
label_desc: Use image node_id 4 for calling a global function with example usage: test_include_distances() without return types