Hi Sebastian,
On Wed, Sep 28, 2022, at 12:11, Sebastian Berg wrote:
> np.array([1, 2], dtype="uint8") + (-1)
>
> which currently returns an "int16" array must raise an error. This is
> because we want to return a uint8 array but the -1 cannot be
> represented well by -1.
Did you mean: the -1
Hi all,
In NEP 50 (https://numpy.org/neps/nep-0050-scalar-promotion.html) my
current proposal is that the following:
np.array([1, 2], dtype="uint8") + (-1)
which currently returns an "int16" array must raise an error. This is
because we want to return a uint8 array but the -1 cannot be
repr
Hi, Matteo!
Thank you for the ping. The NumPy core developer team will make a decision on
how to move forward with your pull request at the next triage meeting on
October 5th. It would be great if you could join us at the meeting.
Cheers,
Inessa
Inessa Pawson
Contributor Experience Lead | NumPy
On Wed, Sep 28, 2022, at 08:01, Matti Picus wrote:
> The reviewers also asked you to consider a different interface
> (method=), I did not see a response to that suggestion.
I think that interface suggestion makes sense. Since there seemed to be some
confusion in the comments, I'll summarize her
The idea of using fft in polynomial.polymul in the PR got a cool
reception. It is not clear if we should add this to NumPy or refer users
to other packages. Maybe the mailing list would be a forum to discuss
the need for the enhancement. It should have at least one other champion
in order to m
I made a PR (#22255) that received some attention, but has been ignored for 2
weeks now. I commented on the PR 5 days ago, but there was still no response.
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