# pickle fails for lambda functions
squ = lambda x:x**2
# test the pickle-ability of inner function
psqu = dumps(squ)
p_squ = loads(psqu)
assert squ(10) == p_squ(10)
if __name__ == '__main__':
from pathos.helpers import freeze_support
freeze_support()
from pathos.pools import _ProcessPool as Pool
pool = Pool()
# if pickle works, then multiprocessing should too
print("Evaluate 10 items on 2 proc:")
pool.ncpus = 2
p_res = pool.map(add_me, range(10))
print(pool)
print('%s' % p_res)
print('')
# if pickle works, then multiprocessing should too
print("Evaluate 10 items on 4 proc:")
pool.ncpus = 4
p2res = pool.map(squ, range(10))
print(pool)
print('%s' % p2res)
# pickle fails for lambda functions
squ = lambda x:x**2
# test the pickle-ability of inner function
psqu = dumps(squ)
p_squ = loads(psqu)
assert squ(10) == p_squ(10)
if __name__ == '__main__':
from pathos.helpers import freeze_support
freeze_support()
from pathos.pools import _ProcessPool as Pool
pool = Pool()
# if pickle works, then multiprocessing should too
print("Evaluate 10 items on 2 proc:")
pool.ncpus = 2
p_res = pool.map(add_me, range(10))
print(pool)
print('%s' % p_res)
print('')
# if pickle works, then multiprocessing should too
print("Evaluate 10 items on 4 proc:")
pool.ncpus = 4
p2res = pool.map(squ, range(10))
print(pool)
print('%s' % p2res)