I went ahead and filed a ticket (https://github.com/numpy/numpy/issues/2700) for historical purposes…and so those on the MPL list can follow up.
PTM --- Patrick Marsh Ph.D. Candidate / Liaison to the HWT School of Meteorology / University of Oklahoma Cooperative Institute for Mesoscale Meteorological Studies National Severe Storms Laboratory http://www.patricktmarsh.com On Mon, Oct 29, 2012 at 10:18 AM, Benjamin Root <ben.r...@ou.edu> wrote: > > > On Mon, Oct 29, 2012 at 11:04 AM, Patrick Marsh > <patrickmars...@gmail.com>wrote: > >> Turns out it isn't the commit I thought it was. I'm currently going >> through a git bisect to track down the actual commit that introduced this >> bug. I'll post back when I've found it. >> >> >> PTM >> --- >> Patrick Marsh >> Ph.D. Candidate / Liaison to the HWT >> School of Meteorology / University of Oklahoma >> Cooperative Institute for Mesoscale Meteorological Studies >> National Severe Storms Laboratory >> http://www.patricktmarsh.com >> >> >> >> On Mon, Oct 29, 2012 at 9:43 AM, Benjamin Root <ben.r...@ou.edu> wrote: >> >>> >>> >>> On Mon, Oct 29, 2012 at 10:33 AM, Sebastian Berg < >>> sebast...@sipsolutions.net> wrote: >>> >>>> Hey, >>>> >>>> On Mon, 2012-10-29 at 09:54 -0400, Benjamin Root wrote: >>>> > This error started showing up in the test suite for mpl when using >>>> > numpy master. >>>> > >>>> > AttributeError: incompatible shape for a non-contiguous array >>>> > >>>> > The tracebacks all point back to various code points where we are >>>> > trying to set the shape of an array, e.g., >>>> > >>>> > offsets.shape = (-1, 2) >>>> > >>>> Could you give a hint what these arrays history (how it was created) and >>>> maybe .shape/.strides is? Sounds like the array is not contiguous when >>>> it is expected to be, or the attribute setting itself fails in some >>>> corner cases on master? >>>> >>>> Regards, >>>> >>>> Sebastian >>>> >>>> >>> The original reporter of the bug dug into the commit list and suspects >>> it was this one: >>> >>> >>> https://github.com/numpy/numpy/commit/02ebf8b3e7674a6b8a06636feaa6c761fcdf4e2d >>> >>> However, it might be earlier than that (he is currently doing a clean >>> rebuild to make sure). >>> >>> As for the history: >>> >>> offsets = np.asanyarray(offsets) >>> offsets.shape = (-1, 2) # Make it Nx2 >>> >>> Where "offsets" comes in from (possibly) user-supplied data. Nothing >>> really all that special. I will see if I can get stride information. >>> >>> Ben Root >>> >>> > Further digging reveals that the code fails when the array is originally > 1-D. I had an array with shape (2,) and stride (8,). The reshaping should > result in a shape of (1, 2). > > Ben Root > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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