< 1.9 lies about alignment it doesn't actually check for new arrays. is the array aligned?
On 18.11.2014 19:37, David Cournapeau wrote: > 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 <courn...@gmail.com > <mailto:courn...@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.deb...@googlemail.com > <mailto: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 <mailto:NumPy-Discussion@scipy.org> > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
