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.deb...@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. > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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