Message333013
I suggest you to write:
with multiprocessing.Pool(4) as pool: result = tuple(pool.imap(print, (1, 2, 3)))
On Python 3.8, your example will now log a resource warning since you don't close/terminate explicitly the pool. |
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| Date |
User |
Action |
Args |
| 2019-01-04 22:40:35 | vstinner | set | recipients:
+ vstinner, pitrou, Anthony Sottile, pablogsal, remi.lapeyre |
| 2019-01-04 22:40:33 | vstinner | set | messageid: <[email protected]> |
| 2019-01-04 22:40:33 | vstinner | link | issue35629 messages |
| 2019-01-04 22:40:33 | vstinner | create | |
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