[Numpy-discussion] Re: next NumPy Optimization Team meeting

2023-11-20 Thread Inessa Pawson
Hi, everyone! To adjust for the end of Daylight Saving Time, NumPy Optimization Team meetings were moved to 17:00 (5pm) UTC. If you're planning on attending today's meeting, please make sure to refresh your calendar. On Fri, Nov 17, 2023 at 11:23 AM Inessa Pawson wrote: > The next NumPy Optimiza

[Numpy-discussion] Making np.object_ generic for better object array type hinting

2023-11-20 Thread christopher . ariza
Greetings! Could np.object_ be made generic? For example, if I have an object array of two-element integer tuples, it would be ideal if I could type hint the array with np.dtype[np.object_[tuple[int, int]]]; this would allow us to distinguish between object arrays by their contained types. (I.e

[Numpy-discussion] Re: *New Time* Next Documentation team meeting

2023-11-20 Thread Hetav
Hi Makulika, I would love to join today's meeting. Can I get the passcode for it? Regards, Hetav Pandya On Sun, Nov 19, 2023 at 9:07 PM Mukulika Pahari wrote: > Hi all, > > Our next Documentation Team meeting will happen on *Monday, November 20* > at *11PM UTC*. If this time slot is inconveni

[Numpy-discussion] pickling dtype values

2023-11-20 Thread Sebastien Binet
hi there, I have written a Go package[1] that can read/write simple arrays in the numpy file format [2]. when I wrote it, it was for simple interoperability use cases, but now people would like to be able to read back ragged-arrays[3]. unless I am mistaken, this means I need to interpret pieces

[Numpy-discussion] Re: pickling dtype values

2023-11-20 Thread Robert Kern
On Mon, Nov 20, 2023 at 10:08 PM Sebastien Binet wrote: > hi there, > > I have written a Go package[1] that can read/write simple arrays in the > numpy file format [2]. > when I wrote it, it was for simple interoperability use cases, but now > people would like to be able to read back ragged-arra