def test():
print("Creating 5 (non-daemon) workers and jobs in main process.")
pool = MyPool(5)
result = pool.map(work1, np.arange(5)+1)
pool.close()
pool.join()
print(result)
def work1(num_procs):
print("WORK1: Creating %i (daemon) workers and jobs in child." % num_procs)
# pool = multiprocessing.Pool(num_procs)
pool = MyPool(num_procs)
result = pool.map(work2,
np.repeat(num_procs, num_procs))
# The following is not really needed, since the (daemon) workers of the
# child's pool are killed when the child is terminated, but it's good
# practice to cleanup after ourselves anyway.
pool.close()
pool.join()
return result
