code: def test_seeding():
      f = 10
      X = numpy.random.rand(1000, f)
      Y = numpy.random.rand(50, f)
  
      indexes = []
      for i in range(2):
          index = AnnoyIndex(f, "angular")
          index.set_seed(42)
          for j in range(X.shape[0]):
              index.add_item(j, X[j])
  
          index.build(10)
          indexes.append(index)
  
      for k in range(Y.shape[0]):
          assert indexes[0].get_nns_by_vector(Y[k], 100) == indexes[
              1
          ].get_nns_by_vector(Y[k], 100)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_seeding() without return types