Xiang Zhang <angwe...@126.com> added the comment:
It seems to me the problem is tee objects might encounter race conditions while
`PyIter_Next` in `teedataobject_getitem` releases GIL. Other threads then
might get into the same branch since `tdo->numread` haven't been updated yet.
NULL slots are generated then, 2 objects are read from the underlying iterator
and `tdo->numread` is updated twice while only one slot is set.
As for multiprocessing.pool, there is a background task handling thread
consuming one tee object and main thread consuming another one. The underlying
iterator is `IMapIterator` which `next` method would block on a condition.
While trying, I find the following snippet would also crash:
import threading
import itertools
class C:
def __iter__(self):
return self
def __next__(self):
return 1
def test(i):
print(list(i))
i1, i2 = itertools.tee(C())
threading.Thread(target=test, args=(i1,)).start()
print(list(i2))
GDB shows it crashs in `teedataobject_dealloc` -> `teedataobject_clear`. I
haven't understood what happened.
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Python tracker <rep...@bugs.python.org>
<https://bugs.python.org/issue34410>
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