code: def test_joblib_dump():
      seed = np.random.RandomState(42)
  
      x1 = seed.normal(0, 100, (1000, 50))
      x2 = seed.normal(0, 100, (1000, 50))
  
      index1 = NNDescent(x1, "euclidean", {}, 10, random_state=None)
      neighbors1, distances1 = index1.query(x2)
  
      mem_temp = io.BytesIO()
      joblib.dump(index1, mem_temp)
      mem_temp.seek(0)
      index2 = joblib.load(mem_temp)
  
      neighbors2, distances2 = index2.query(x2)
  
      np.testing.assert_equal(neighbors1, neighbors2)
      np.testing.assert_equal(distances1, distances2)
  
imports: import os
  import io
  import re
  import pytest
  from contextlib import redirect_stdout
  import numpy
  from sklearn.neighbors import KDTree
  from sklearn.neighbors import NearestNeighbors
  from sklearn.preprocessing import normalize
  import pickle
  import joblib
  import scipy
  from pynndescent import NNDescent, PyNNDescentTransformer
label_desc: Use image node_id 22 for calling a global function with example usage: test_joblib_dump() without return types