[Numpy-discussion] Updated 1.15.0 release notes
matthew.brett at gmail.com
Thu Jun 14 04:48:14 EDT 2018
One very helpful think you could do, is add a Travis-CI matrix entry
where you are testing against the latest numpy nightly builds.
I got a bit lost in your tox setup, but the basic idea is that, for
one test entry, you add the following flags to pip:
In that case, you'll pull in the latest nightly build of Numpy. See
the Scipy .travis.yml setup for an example.
On Thu, Jun 14, 2018 at 2:16 AM, Nathan Goldbaum <nathan12343 at gmail.com> wrote:
> OK I guess I missed that announcement.
> I wouldn’t mind more than one email with a reminder to test.
> On Wed, Jun 13, 2018 at 7:42 PM Charles R Harris <charlesr.harris at gmail.com>
>> On Wed, Jun 13, 2018 at 6:28 PM, Nathan Goldbaum <nathan12343 at gmail.com>
>>> Hi Chuck,
>>> Are you planning on doing an rc release this time? I think the NumPy 1.14
>>> release was unusually bumpy and part of that was the lack of an rc. One
>>> example: importing h5py caused a warning under numpy 1.14 and an h5py
>>> release didn’t come out with a workaround or fix for a couple months. There
>>> was also an issue with array printing that caused problems in yt (although
>>> both yt and NumPy quickly did bugfix releases that fixed that).
>>> I guess 1.14 was particularly noisy, but still I’d really appreciate
>>> having a prerelease version to test against and some time to report issues
>>> with the prerelease so numpy and other projects can implement workarounds as
>>> needed without doing a release that might potentially break real users who
>>> happen to install right after numpy 1.x.0 comes out.
>> There was a 1.14.0rc1. I was too quick for the full release, just waited
>> three weeks, so maybe four this time. Too few people actually test the
>> candidates and give feedback, so I tend to regard the *.*.0 releases as the
>> true rc :)
>> NumPy-Discussion mailing list
>> NumPy-Discussion at python.org
> NumPy-Discussion mailing list
> NumPy-Discussion at python.org
More information about the NumPy-Discussion