[Numpy-discussion] nasty bug in 1.8.0??

Nathaniel Smith njs at pobox.com
Mon Dec 2 18:20:48 EST 2013


On Mon, Dec 2, 2013 at 3:15 PM, Jim Bosch <talljimbo at gmail.com> wrote:
>> If your arrays are contiguous, you don't really need the strides (use the
>> itemsize instead). How is ndarray broken by this?
>
> ndarray is broken by this change because it expects the stride to be a
> multiple of the itemsize (I think; I'm just looking at code here, as I
> haven't had time to build NumPy 1.8 yet to test this); it has a slightly
> more restricted model for what data can look like than NumPy has, and it's
> easier to always just look at the stride for all sizes rather than
> special-case for size=1.

Note that arrays in which any dimension is 0 (i.e., 0 total elements)
can also have arbitrary strides with no consequence.

-- 
Nathaniel J. Smith
Postdoctoral researcher - Informatics - University of Edinburgh
http://vorpus.org



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