code: def test_sklearnex_import_train_test_split():
      from sklearnex.model_selection import train_test_split
  
      X = np.arange(100).reshape((10, 10))
      y = np.arange(10)
  
      split = train_test_split(X, y, test_size=None, train_size=0.5)
      X_train, X_test, y_train, y_test = split
      assert len(y_test) == len(y_train)
  
      assert_allclose(X_train[:, 0], y_train * 10)
      assert_allclose(X_test[:, 0], y_test * 10)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_sklearnex_import_train_test_split() without return types