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
>>
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
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, 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
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
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.