Hi Abel,
As long as your x,y,z are next to each other, you can transform from
your structure to an unstructured array via a view, which has very
little cost. Though you need to be a bit careful with offsets, etc., if
there are also other elements in the structured dtype.
Example, with some extra
On Fri, Jun 13, 2025 at 11:07 AM Jerome Kieffer
wrote:
> Hi Matti,
>
> Sorry for the delay ...
>
> In one of my project I am working on, we use based Avoton server
> (Intel C2350) for CI/CD which can be rented today (2025) for less than
> 5€/month
> at online.net (a french provider). Switching to
On Fri, Jun 13, 2025 at 11:13 AM Andrew Nelson via NumPy-Discussion <
numpy-discussion@python.org> wrote:
>
> On Fri, 13 Jun 2025 at 16:43, Ralf Gommers via NumPy-Discussion <
> numpy-discussion@python.org> wrote:
>
>>
>> For 2FA and repository/PyPI access, we'll start making changes soon. Note
>>
I'm using structured arrays to store atoms data produced by LAMMPS (I'm using a
structured array that follows its format). I need to rotate the positions:
```
import numpy as np
transform = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]], dtype=np.float64)
dtype = np.dtype([("x", np.float64), ("y", n
On Fri, 13 Jun 2025 at 16:43, Ralf Gommers via NumPy-Discussion <
numpy-discussion@python.org> wrote:
>
> For 2FA and repository/PyPI access, we'll start making changes soon. Note
> that GitHub has recently made changes to its 2FA settings that ask for
> action from many people: on https://github.
Hi Matti,
Sorry for the delay ...
In one of my project I am working on, we use based Avoton server
(Intel C2350) for CI/CD which can be rented today (2025) for less than 5€/month
at online.net (a french provider). Switching to more recent generation
of processor (E3 1245v5) would imply at least 3
On Fri, Jun 13, 2025 at 9:40 AM Ralf Gommers via NumPy-Discussion
wrote:
>
> ...
> For 2FA and repository/PyPI access, we'll start making changes soon. Note
> that GitHub has recently made changes to its 2FA settings that ask for action
> from many people: on https://github.com/orgs/numpy/people
