syockit wrote:
> I've been playing around with custom iterators to map into Pool. When
> I run the code below:
>
> def arif(arr):
> return arr
>
> def permutate(n):
> k = 0
> a = list(range(6))
> while k<n:
> for i in range(6):
> a.insert(0, a.pop(5)+6)
> #yield a[:] <-- produces correct results
> yield a
> k += 1
> return
>
> def main():
> from multiprocessing import Pool
> pool = Pool()
> chksize = 15
> for x in pool.imap_unordered(arif, permutate(100), chksize):
> print(x)
>
> if __name__=="__main__":
> main()
>
> .... will output something like this:
>
>
> [36, 37, 38, 39, 40, 41]
> [36, 37, 38, 39, 40, 41]
> [36, 37, 38, 39, 40, 41]
> [36, 37, 38, 39, 40, 41]
> [36, 37, 38, 39, 40, 41]
> [36, 37, 38, 39, 40, 41]
> [72, 73, 74, 75, 76, 77]
> [72, 73, 74, 75, 76, 77]
> [72, 73, 74, 75, 76, 77]
> [72, 73, 74, 75, 76, 77]
> [72, 73, 74, 75, 76, 77]
> [72, 73, 74, 75, 76, 77]
> [108, 109, 110, 111, 112, 113]
> [108, 109, 110, 111, 112, 113]
> [108, 109, 110, 111, 112, 113]
> [108, 109, 110, 111, 112, 113]
> [108, 109, 110, 111, 112, 113]
> [108, 109, 110, 111, 112, 113]
> [144, 145, 146, 147, 148, 149]
>
> ... where results are duplicated number of times equal to chunk size,
> and the results between the gap are lost. Using a[:] instead, i get:
>
> [6, 7, 8, 9, 10, 11]
> [12, 13, 14, 15, 16, 17]
> [18, 19, 20, 21, 22, 23]
> [24, 25, 26, 27, 28, 29]
> [30, 31, 32, 33, 34, 35]
> [36, 37, 38, 39, 40, 41]
> [42, 43, 44, 45, 46, 47]
> [48, 49, 50, 51, 52, 53]
>
> .... it comes out okay. Any explanation for such behavior?
>
> Ahmad Syukri
Python passes references araound, not copies. Consider
it = permutate(100)
chunksize = 15
from itertools import islice
while True:
chunk = tuple(islice(it, chunksize))
if not chunk:
break
# dispatch items in chunk
print chunk
chunksize items are calculated before they are dispatched. When you yield
the same list every time in permutate() previous items in the chunk will see
any changes you make on the list with the intention to update it to the next
value.
Peter
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