code: def test_parallel():
      x = arange(10.0)
      with warnings.catch_warnings():
          warnings.simplefilter("ignore")
          parallel, p_func, n_jobs = parallel_func(
              sqrt, n_jobs=-1, verbose=0
          )
          y = parallel(p_func(i**2) for i in range(10))
      testing.assert_equal(x, y)
  
imports: import warnings
  from statsmodels.tools.parallel import parallel_func
  from numpy import arange, testing
  from math import sqrt
label_desc: Use image node_id 1 for calling a global function with example usage: test_parallel() without return types