[Numpy-discussion] Numpy 1.9.1, zeros and alignement

[David Cournapeau]

Additional point: it seems to always return aligned data on 1.8.1 (same
platform/compiler/everything).

On Tue, Nov 18, 2014 at 6:35 PM, David Cournapeau <cournape at gmail.com>
wrote:

> 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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>>
>
>
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