[Numpy-discussion] PyPy wheels (was: NumPy 1.12.0b1 released)

Ralf Gommers ralf.gommers at gmail.com
Fri Nov 18 21:14:06 EST 2016

On Sat, Nov 19, 2016 at 2:53 PM, Nathaniel Smith <njs at pobox.com> wrote:

> On Nov 18, 2016 3:30 PM, "Ralf Gommers" <ralf.gommers at gmail.com> wrote:
> >
> >
> >
> > On Sat, Nov 19, 2016 at 5:24 AM, Nathaniel Smith <njs at pobox.com> wrote:
> >>
> >> Another thing to think about is that 1.12 on pypy won't pass its test
> suite (though it's close), and we're not yet testing new PRs on pypy, so no
> guarantees about 1.13 yet. I think on balance these probably aren't reasons
> *not* to upload wheels, but it's a funny place where we're talking about
> providing "official" builds even though it's not an "officially supported
> platform". So we will at least want to be clear about that. And someone
> will have to handle the bug reports about the test suite failing :-).
> >
> >
> > Those are good points. We could run PyPy on TravisCI; the PyPy install
> and numpy build aren't difficult anymore.
> I'm not sure how useful this until the test suite is passing, though, just
> because of how travis-ci works.
It's not hard to skip the currently failing tests only on a single run in
the build matrix. That would keep TravisCI green and ensure there's no


> The main outstanding issue needs some work on the numpy side: basically
> UPDATEIFCOPY, as currently conceived, just can't work reliably on pypy,
> because it assumes that Python objects get deterministically deallocated as
> soon as their reference count drops to zero, and pypy doesn't have
> reference counts.
> I think fixing this should be straightforward enough, in case anyone wants
> to work on it. Every user of UPDATEIFCOPY already has to be aware of the
> reference counts and know when the pseudo-"view" array is supposed to be
> deallocated. So I think we should define a new UPDATEIFCOPY2 flag, which
> acts like the current UPDATEIFCOPY, except that instead of using __del__ to
> do the writeback, there's an explicit API call you have to make, like
> PyArray_UpdateIfCopy2_Writeback, that checks for the flag and does the
> writeback if set. Then we should transition to using this internally, and
> probably deprecate UPDATEIFCOPY (though we may never be able to get rid of
> it entirely).
> -n
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