[SciPy-Dev] Proposed 1.6.0 Release Schedule
Romain Jacob
jacobr at ethz.ch
Wed Dec 2 07:27:17 EST 2020
Hi everyone,
> There are two stats PRs left, but I believe the "bandwidth" is a bit
> better with core devs reviewing those, and they could always be bumped
> I think.
Could this stat PR (https://github.com/scipy/scipy/pull/12680) be
considered for the 1.6.0 milestone?
I made the suggested changes and there has not been any further comments
in a while; so, just wandering :-) If not, it would be cool to know what
else I am expected to provide to conclude PR.
Cheers,
--
Romain
>
> There are two "dueling" optimize PRs:
> https://github.com/scipy/scipy/pull/13143
> https://github.com/scipy/scipy/pull/12889
>
> So, maybe we are within a single digit number of days from branching
> 1.6.0 now?
>
> Many thanks to several core devs (of NumPy and SciPy projects) for
> assisting with efforts to migrate off Travis CI due to the recent
> restrictions imposed there.
>
> Best wishes,
> Tyler
>
> On Sun, 22 Nov 2020 at 13:24, Ilhan Polat <ilhanpolat at gmail.com
> <mailto:ilhanpolat at gmail.com>> wrote:
>
> I don't mean to disrupt your flow but please feel free to assign
> some dummy work to us if need be. Given the pandemic and all, it's
> much easier to get overwhelmed with stuff these days.
>
> On Sun, Nov 22, 2020 at 8:14 PM Tyler Reddy
> <tyler.je.reddy at gmail.com <mailto:tyler.je.reddy at gmail.com>> wrote:
>
> We may need to delay the release a bit. Mostly because of the
> disruption to the Travis CI service (not running/credit
> limit), which would probably affect the wheels repo before a
> final release too. I've tried to move a few of the simpler
> jobs to Azure, but probably running out of steam for that
> effort this weekend.
>
> I've reached out to Travis CI support and asked NumFOCUS
> informally what we might do here. A few kind folks have
> offered to chip in to keep the CI running short-term. Let's
> see what happens with the former inquiries first?
>
> Open PR count is currently 26 for the 1.6.0 milestone, though
> probably a few more I can bump to next milestone.
>
> Best wishes,
> Tyler
>
>
>
> On Mon, 9 Nov 2020 at 00:12, Evgeni Burovski
> <evgeny.burovskiy at gmail.com
> <mailto:evgeny.burovskiy at gmail.com>> wrote:
>
> How about shifting the release towards January then?
>
> пн, 9 нояб. 2020 г., 1:43 Tyler Reddy
> <tyler.je.reddy at gmail.com <mailto:tyler.je.reddy at gmail.com>>:
>
> Ok, I'll bump it by a week then.
>
> * November 24: branch maintenance/1.6.x
> * November 27: rc1
> * December 8: rc2 (if needed)
> * December 17: final release
>
> I was trying to avoid the overlap with US Thanksgiving
> and a final release in late December near Winter
> Break, but I'll manage.
> Tyler
>
> On Sun, 8 Nov 2020 at 14:53, Ralf Gommers
> <ralf.gommers at gmail.com
> <mailto:ralf.gommers at gmail.com>> wrote:
>
>
>
> On Sat, Nov 7, 2020 at 10:48 PM Tyler Reddy
> <tyler.je.reddy at gmail.com
> <mailto:tyler.je.reddy at gmail.com>> wrote:
>
> Hi,
>
> SciPy 1.5.0 was released June 21 (~5 months
> ago), and I think we'd like to keep a roughly
> biannual release cadence.
>
> I'd like to propose the following schedule for
> 1.6.0:
> - November 17: branch 1.6.x
> - November 20: rc1
> - December 1: rc2 (if needed)
> - December 10: final release
>
> As always, it is a good idea to start tagging
> things that should be in 1.6.0 & please do
> help with reviewing PRs/issues that are
> tagged--current counts are:
>
> - PRs: 45 open with 1.6.0 milestone
> - issues: 25 open with 1.6.0 milestone
>
> While helping with that, also great if the
> release notes wiki is updated for appropriate
> changes:
> https://github.com/scipy/scipy/wiki/Release-note-entries-for-SciPy-1.6.0
>
>
> Thoughts/objections for the schedule?
>
>
>
> It does seem like there's a lot of PRs open,
> having only one weekend left seems optimistic. The
> majority can be bumped to 1.7.0, but there's a bit
> of a backlog of nice PRs that have been ready for
> a while and would be nice to get in. For example:
>
> - KDTree/cKDTree feature parity:
> https://github.com/scipy/scipy/pull/12852
> - HiGHS solver as linprog method:
> https://github.com/scipy/scipy/pull/12043
> - Balanced cut tree:
> https://github.com/scipy/scipy/pull/10730
> - Andrew's set of optimize PRs that he brought up
> on the mailing list recently
> - Greg's set of ndimage PRs, complex kernels and
> the boundary handling ones (#12725, #12767, #12776)
>
> If it's possible, given your time constraints, to
> bump the schedule by one week then that may be useful.
>
> Cheers,
> Ralf
>
>
>
>
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--
Romain Jacob
Postdoctoral Researcher
ETH Zurich - Networked Systems Group (NSG)
www.romainjacob.net <https://www.romainjacob.net/>
@RJacobPartner <https://twitter.com/RJacobPartner>
Gloriastrasse 35, ETZ G78
8092 Zurich
+41 7 68 16 88 22
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