Thanks for the confirmation!
On Tue, Aug 7, 2018 at 12:47 PM Michael Sarahan <msarahan(a)gmail.com> wrote:
> Yes. It is commonplace to build packages against older versions of numpy,
> since numpy is excellent about maintaining forward compatibility. See
> https://github.com/ContinuumIO/anaconda-issues/issues/6678#issuecomment-337…
> for more discussion.
>
> On Tue, Aug 7, 2018 at 11:43 AM Mark Harfouche <mark.harfouche(a)gmail.com>
> wrote:
>
>> Is numpy 1.15 compatible with 1.14? I keep getting warnings that the
>> shape of dtype has changed. My code seems to not segfault though...
>>
>> Mark
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Yes. It is commonplace to build packages against older versions of numpy,
since numpy is excellent about maintaining forward compatibility. See
https://github.com/ContinuumIO/anaconda-issues/issues/6678#issuecomment-337…
for more discussion.
On Tue, Aug 7, 2018 at 11:43 AM Mark Harfouche <mark.harfouche(a)gmail.com>
wrote:
> Is numpy 1.15 compatible with 1.14? I keep getting warnings that the shape
> of dtype has changed. My code seems to not segfault though...
>
> Mark
> _______________________________________________
> scikit-image mailing list
> scikit-image(a)python.org
> https://mail.python.org/mailman/listinfo/scikit-image
>
