On Fri, Jun 19, 2015 at 10:08 PM, Charles R Harris <charlesr.harris@gmail.com> wrote:

Hi All,

I'm looking to change some numpy deprecations into errors as well as remove some deprecated functions. The problem I see is that
SciPy claims to support Numpy >= 1.5 and Numpy 1.5 is really, really, old.

Lowest supported Scipy version in master and 0.16.x is 1.6.2. This can be seen in the main setup.py, scipy/__init__.py and the 0.16.0 release notes.

So the question is, does "support" mean compiles with earlier versions
of Numpy ?

Indeed.

If that is the case there is very little that can be done about deprecation.

They can be fixed in Scipy, see for example https://github.com/scipy/scipy/pull/4378

OTOH, if it means Scipy can be compiled with more recent numpy versions but used with earlier Numpy versions (which is a good feat), I'd like to know.

That's never a good idea, and in most cases raises errors on import if you try.

I'd also like to know what the interface requirements are, as I'd like to remove old_defines.h

This can be fixed in Scipy (see PR above); there's still a lot to do there though. More importantly, I think Cython still relies on this API and therefore also needs to be updated. This description of changes made in Theano might be helpful: http://mail.scipy.org/pipermail/numpy-discussion/2013-November/068209.html

Ralf

Chuck

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