On 03/28/2016 04:33 PM, Matthew Brett wrote:
Please do test on your own machines with something like this script [4]:
Matthew,
I ran the tests after installing the wheels on my machine running
Ubuntu 14.04. Three numpy tests failed with the GFORTRAN_1.4 error you
mentioned in post to the
I have emailed this list in the past explaining what is driving my open
source efforts now.
Here is a blog-post that may help some of you understand at little bit of
the history of Blaze, DyND Numba, and other related developments as they
relate to scaling up and scaling out array-computing in Pyt
> >> On Tue, Mar 29, 2016 at 1:46 PM, Benjamin Root
> >> wrote:
> >> > Is there a quick-n-easy way to reflect a NxM array that represents a
> >> > quadrant into a 2Nx2M array? Essentially, I am trying to reduce the size
> >> > of
> >> > an expensive calculation by taking advantage of the fact that
On Tue, Mar 29, 2016 at 2:02 PM, Benjamin Root wrote:
> Along those lines, yes, but you have to be careful of even/odd dimension
> lengths. Would be nice if it was some sort of stride trick so that I don't
> have to allocate a new array twice as we do in the concatenation steps.
>
> Cheers!
>
> Be
Along those lines, yes, but you have to be careful of even/odd dimension
lengths. Would be nice if it was some sort of stride trick so that I don't
have to allocate a new array twice as we do in the concatenation steps.
Cheers!
Ben Root
On Tue, Mar 29, 2016 at 1:58 PM, Joseph Fox-Rabinovitz <
jf
On Tue, Mar 29, 2016 at 1:46 PM, Benjamin Root wrote:
> Is there a quick-n-easy way to reflect a NxM array that represents a
> quadrant into a 2Nx2M array? Essentially, I am trying to reduce the size of
> an expensive calculation by taking advantage of the fact that the first part
> of the calcula
Is there a quick-n-easy way to reflect a NxM array that represents a
quadrant into a 2Nx2M array? Essentially, I am trying to reduce the size of
an expensive calculation by taking advantage of the fact that the first
part of the calculation is just computing gaussian weights, which is
radially symm
I just tested those new openblas-based wheels on the linux virtualbox
setup that I used to report the following segfault back in February:
https://mail.scipy.org/pipermail/numpy-discussion/2016-February/074866.html
https://mail.scipy.org/pipermail/numpy-discussion/2016-February/074870.html
I cann
