[Numpy-discussion] Numpy 1.9.1, zeros and alignement

[David Cournapeau]

It is on windows 32 bits, but I would need to make this work for complex
(pair of double) as well.

Is this a bug (I  assumed array creation methods would always create
aligned arrays for their type) ? Seems like quite a bit of code out there
would assume this (scipy itself does for example).

(the context is > 100 test failures on scipy 0.14.x on top of numpy 1.9.,
because f2py intent(inout) fails on work arrays created by zeros, this is a
windows-32 only failure).

David

On Tue, Nov 18, 2014 at 6:26 PM, Julian Taylor <
jtaylor.debian at googlemail.com> wrote:

> On 18.11.2014 19:20, David Cournapeau wrote:
> > Hi,
> >
> > I have not followed closely the changes that happen in 1.9.1, but was
> > surprised by the following:
> >
> > x = np.zeros(12, "d")
> > assert x.flags.aligned # fails
> >
> > This is running numpy 1.9.1 built on windows with VS 2008. Is it
> > expected that zeros may return a non-aligned array ?
> >
>
> what is the real alignment of the array? Are you on 32 bit or 64 bit?
> What is the alignment of doubles in windows (linux its 4 byte on 32 bit
> 8 byte on 64 bit (% special compiler flags)?
> print x.__array_interface__["data"]
>
> there are problems with complex types but doubles should be aligned even
> on 32 bit.
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