On Thu, May 18, 2017 at 5:07 AM, Nissim Derdiger
wrote:
>
> Hi again,
> Thanks for the responses to my question!
> Roberts answer worked very well for me, except for 1 small issue:
>
> This line:
> close_mask = np.isclose(MatA, MatB, Threshold, equal_nan=True)
> returns each difference twice – onc
Hi All,
I'm pleased to announce the NumPy 1.13.0rc2 release. This release supports
Python 2.7 and 3.4-3.6 and contains many new features. It is one of the
most ambitious releases in the last several years. Some of the highlights
and new functions are
*Highlights*
- Operations like ``a + b + c
On Thu, 2017-05-18 at 15:04 +0200, marc wrote:
> Dear Numpy developers,
> I'm trying to add a routine to calculate the sum of a product of two
> arrays (a dot product). But that would not increase the memory (from
> what I saw np.dot is increasing the memory while it should not be
> necessary). The
Hello Marten,
Thank you for your help, effectively, the example that you propose is
much easier to imitate, I can now continue further.
Thanks,
Marc
On 05/18/2017 04:32 PM, Marten van Kerkwijk wrote:
Hi Marc,
ufuncs are quite tricky to compile. Part of your problem is that, I
think, you sta
Hi Marc,
ufuncs are quite tricky to compile. Part of your problem is that, I
think, you started a bit too high up: `divmod` is also a binary
operation, so that part you do not need at all. It may be an idea to
start instead with a PR that implemented a new ufunc, e.g.,
https://github.com/numpy/num
Dear Numpy developers,
I'm trying to add a routine to calculate the sum of a product of two
arrays (a dot product). But that would not increase the memory (from
what I saw np.dot is increasing the memory while it should not be
necessary). The idea is to avoid the use of the temporary array in
Hi again,
Thanks for the responses to my question!
Roberts answer worked very well for me, except for 1 small issue:
This line:
close_mask = np.isclose(MatA, MatB, Threshold, equal_nan=True)
returns each difference twice - once j in compare to I and once for I in
compare to j
for example:
for t
