On Fri, Jul 19, 2013 at 12:21 AM, Rob Clewley rob.clew...@gmail.com wrote:
The exception: one can have arrays of python objects, including numpy
objects, which allows arrays to contain different sized elements.
What are numpy objects? numpy objects - numpy ndarrays or numpy
ndarray objects?
On Thu, Jul 18, 2013 at 2:52 PM, Nathaniel Smith n...@pobox.com wrote:
Compare:
gu_dot_leftwards(ones((10, 11, 4)), ones((11, 12, 3, 4))) - (10, 12, 3, 4)
versus
gu_dot_rightwards(ones((4, 10, 11)), ones((3, 4, 11, 12))) - (3, 4, 10, 12)
The second makes quite a bit more sense to me, and
On Thu, Jul 18, 2013 at 2:23 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
It is so difficult because of the fact that dot is basically a
combination of many functions:
o vector * vector - vector
o vector * matrix - matrix (add dimensions to vector on right)
o matrix * vector -
On Fri, Jul 19, 2013 at 5:31 PM, Nathaniel Smith n...@pobox.com wrote:
3) Extend the gufunc machinery to understand the idea that some core
dimensions are allowed to take on a special nonexistent size. So the
signature for dot would be:
(m*,k) x (k, n*) - (m*, n*)
where '*' denotes
On Fri, 2013-07-19 at 16:31 +0100, Nathaniel Smith wrote:
On Thu, Jul 18, 2013 at 2:23 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
It is so difficult because of the fact that dot is basically a
combination of many functions:
o vector * vector - vector
o vector * matrix -
On Fri, 2013-07-19 at 16:14 +0100, Nathaniel Smith wrote:
On Thu, Jul 18, 2013 at 2:23 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Thu, 2013-07-18 at 13:52 +0100, Nathaniel Smith wrote:
Hi all,
snip
What I mean is: Suppose we wrote a gufunc for 'sum', where the
intrinsic
Thanks Rob,
I agree. Your suggestion is the better way.
Colin W.
On 19/07/2013 11:09 AM, numpy-discussion-requ...@scipy.org wrote:
1. Today's Topics: 1. Re: User Guide (Rob Clewley)
[snip]
Message: 1
On Thu, Jul 18, 2013 at 2:23 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Thu, 2013-07-18 at 13:52 +0100, Nathaniel Smith wrote:
Hi all,
snip
So:
QUESTION 1: does that sound right: that in a perfect world, the
current gufunc convention would be the only one, and that's what we
On Thu, 18 Jul 2013, Charles R Harris wrote:
yeah... That is how I thought it is working, but I guess it was left
without asanyarraying for additional flexibility/performance so any
array-like object could be used, not just ndarray derived classes.
Speaking of which, there
Hi all,
I've just released version 2.0 of simple select. In brief this is a drop-in
replacement for numpy.select with the following qualities:
- Faster! (benchmarks 2-5x faster than numpy.select depending on use case and
faster than v1.0 simpleselect)
- Full broadcasting.
- All bugs in
URL:
https://github.com/gbb/numpy-simple-select
I've just released version 2.0 of simple select. In brief this is a drop-in
replacement for numpy.select with the following qualities:
- Faster! (benchmarks 2-5x faster than numpy.select depending on use case and
faster than v1.0
On 7/19/13, Yaroslav Halchenko li...@onerussian.com wrote:
I have just added a few more benchmarks, and here they come
http://www.onerussian.com/tmp/numpy-vbench/vb_vb_linalg.html#numpy-linalg-pinv-a-float32
it seems to be very recent so my only check based on 10 commits
didn't pick it up yet
On Fri, Jul 19, 2013 at 12:10 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Fri, 2013-07-19 at 16:14 +0100, Nathaniel Smith wrote:
On Thu, Jul 18, 2013 at 2:23 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Thu, 2013-07-18 at 13:52 +0100, Nathaniel Smith wrote:
Hi all,
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