dmitrey wrote:
> This doesn't work for
> costlyFunction2 = lambda x: 11
> as well; and it doesn't work for imap, apply_async as well (same
> error).
> So, isn't it a bug, or it can be somehow fixed?
> Thank you in advance, D.
It's not a bug but a limitation of the pickle protocol. Pickle can't
han
dmitrey wrote:
# THIS WORKS OK
from multiprocessing import Pool
N = 400
K = 800
processes = 2
def costlyFunction2(z):
r = 0
for k in xrange(1, K+2):
r += z ** (1 / k**1.5)
return r
class ABC:
def __init__(self): pass
def testParallel(self):
po = Pool(processe
# THIS WORKS OK
from multiprocessing import Pool
N = 400
K = 800
processes = 2
def costlyFunction2(z):
r = 0
for k in xrange(1, K+2):
r += z ** (1 / k**1.5)
return r
class ABC:
def __init__(self): pass
def testParallel(self):
po = Pool(processes=processes)
