Hi all,
I recently noted that absolute values of complex arrays are very slow
(about a factor of five compared to some straightforward
implementations). I would like to understand the origin, but could not
trace the code.
Please, consider these timings:
In [67]: z = np.random.random(1) + 1j*
On Mon, Apr 19, 2021 at 12:24 PM bas van beek
wrote:
> After a taking a closer look at the `np.choose` docs I think we should
> change `*choices: npt.ArrayLike` into `choices: Sequence[npt.ArrayLike]`.*
>
>
>
> *This would resolve the issue, but it’d also mean that directly passing an
> array wil
Hello, Mukulika!
Your project seems very ambitious! My advice would be to focus on one of
two of those items and really spend some time on them. For example, items 1
and 5 could come together, or items 3 and 4 (we are working on item 2 and
welcome contributions, but that may be a smaller task at t
After a taking a closer look at the `np.choose` docs I think we should change
`choices: npt.ArrayLike` into `choices: Sequence[npt.ArrayLike]`.
This would resolve the issue, but it’d also mean that directly passing an array
will be prohibited (as far as type checkers are concerned).
The docs do
