Rémi Lapeyre <remi.lape...@henki.fr> added the comment:

I believe that this is similar to https://bugs.python.org/issue35378 on which 
@pablogsal is working.

You were right, the issue steems from a refcount bug. Until the resolution you 
can avoid the issue by explictly keeping a reference on the pool:

>>> import multiprocessing
>>> d = multiprocessing.Pool(4)
>>> tuple(d.imap(print, (1, 2, 3)))
1
2
3
(None, None, None)
>>>

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Python tracker <rep...@bugs.python.org>
<https://bugs.python.org/issue35629>
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