[Numpy-discussion] Numpy 1.11.0b2 released

[Michael Sarahan]

FWIW, we (Continuum) are working on a CI system that builds conda recipes.
Part of this is testing not only individual packages that change, but also
any downstream packages that are also in the repository of recipes.  The
configuration for this is in
https://github.com/conda/conda-recipes/blob/master/.binstar.yml and the
project doing the dependency detection is in
https://github.com/ContinuumIO/ProtoCI/

This is still being established (particularly, provisioning build workers),
but please talk with us if you're interested.

Chris, it may still be useful to use docker here (perhaps on the build
worker, or elsewhere), also, as the distinction between build machines and
user machines is important to make.  Docker would be great for making sure
that all dependency requirements are met on end-user systems (we've had a
few recent issues with libgfortran accidentally missing as a requirement of
scipy).

Best,
Michael

On Sat, Feb 6, 2016 at 5:22 PM Chris Barker <chris.barker at noaa.gov> wrote:

> On Fri, Feb 5, 2016 at 3:24 PM, Nathaniel Smith <njs at pobox.com> wrote:
>
>> On Fri, Feb 5, 2016 at 1:16 PM, Chris Barker <chris.barker at noaa.gov>
>> wrote:
>>
>
>
>> >> > If we set up a numpy-testing conda channel, it could be used to cache
>> >> > binary builds for all he versions of everything we want to test
>> >> > against.
>>
>   Anaconda doesn't always have the
>> > latest builds of everything.
>
>
> OK, this may be more or less helpful, depending on what we want to built
> against. But a conda environment (maybe tied to a custom channel) really
> does make  a nice contained space for testing that can be set up fast on a
> CI server.
>
> If whoever is setting up a test system/matrix thinks this would be useful,
> I'd be glad to help set it up.
>
> -Chris
>
>
>
>
>
> --
>
> Christopher Barker, Ph.D.
> Oceanographer
>
> Emergency Response Division
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>
> Chris.Barker at noaa.gov
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