Hello all,
I just wrote a blog post on uarray and how it compares against NumPy’s
__array_function__ protocol. Give it a read here:
https://labs.quansight.org/blog/2019/07/uarray-update-api-changes-overhead-and-comparison-to-__array_function__/
Best Regards,
Hameer Abbasi
Thanks for the quick explanation & answers. I was mostly puzzled by the absence
of warning.
In C you would get an overflow warning in such a case, no ?
Nicolas
> On 3 Jul 2019, at 20:01, Charles R Harris wrote:
>
>
>
> On Wed, Jul 3, 2019 at 11:39 AM Matthew Brett wrote:
> Hi,
>
> On We
On Wed, Jul 3, 2019 at 11:39 AM Matthew Brett
wrote:
> Hi,
>
> On Wed, Jul 3, 2019 at 9:08 AM Charles R Harris
> wrote:
> >
> >
> >
> > On Wed, Jul 3, 2019 at 9:08 AM Hameer Abbasi
> wrote:
> >>
> >> Hi,
> >>
> >> It turns out you're running into a bit-error. In general, the two's
> complement
Hi,
On Wed, Jul 3, 2019 at 9:08 AM Charles R Harris
wrote:
>
>
>
> On Wed, Jul 3, 2019 at 9:08 AM Hameer Abbasi
> wrote:
>>
>> Hi,
>>
>> It turns out you're running into a bit-error. In general, the two's
>> complement of -2 ** (n-1) with the bit-length being limited to n bits is
>> itself...
On Wed, Jul 3, 2019 at 9:08 AM Hameer Abbasi
wrote:
> Hi,
>
> It turns out you're running into a bit-error. In general, the two's
> complement of -2 ** (n-1) with the bit-length being limited to n bits is
> itself... No way around that. And integers don't set hardware exceptions so
> checking for
Hi,
It turns out you're running into a bit-error. In general, the two's complement
of -2 ** (n-1) with the bit-length being limited to n bits is itself... No way
around that. And integers don't set hardware exceptions so checking for errors
like these is hard as well.
TL;DR: It's an error with
Hi,
I’m a bit surprised with the following code:
>>> import numpy as np
>>> np.seterr(all='warn')
>>> Z = np.array([-128], dtype=np.byte)
>>> print(np.abs(Z))
[-128]
Obviously, it does not return the absolute value and I get no warning.
Is it something expected ? (numpy 1.16.4, python 3.7.3)
On Tue, Jul 2, 2019 at 11:19 PM Matti Picus wrote:
> In PR 13886 I reworked the way the link to the release notes is
> generated. The current page is
>
>
> http://www.numpy.org/devdocs/release.html
>
>
> and the new page is
>
>
>
> https://8001-908607-gh.circle-artifacts.com/0/home/circleci/repo
