Mailman 3 November 2022 - NumPy-Discussion

Behavior of round(array)
by Sebastian Berg Dec. 1, 2022

Dec. 1, 2022

Hi all, there is a discussion about how `round(array)` should behave in: https://github.com/numpy/numpy/issues/6248 There is some discussion about object arrays which should probably be fixed for `around()` in that ago. Otherwise, the is the question what to do about the fact that: * round(np.float64(2.**64)) -> 18446744073709551616 (a Python int) * round(np.array([2., 3., 2.**64]) can only return float or integer The NumPy `np.round`/`np.around` (same function) functions always return the same dtype. We can either ignore that discrepancy, or opt to raise an error, so that: >>> round(np.array([2., 3.5])) TypeError: Rounding a NumPy float array cannot return integers, use `round(arr, ndigits=0)` or `round(arr, 0) to indicate that a float result is desired. In the call today, I think we leaned a bit towards ignoring it, but if I read Aaron correctly, he prefers the error and it may be the conservative choice. We could of course do other things (i.e. return an integer `intp` array) but that would probably require a hard error for overflows (which is different from `np.rint(arr).astype(np.intp)`. Are there any small or big opinions on this? It seems useful to enable `round()` and is a bit of a shame to get caught up on the detail, but I am not sure what the right choice is :). - Sebastian

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Expanding support in testing for external collections.Sequence objects
by info＠markopacak.com Nov. 30, 2022

Nov. 30, 2022

See issue https://github.com/numpy/numpy/issues/22569. The debate is whether np.testing.asset_equal should support collections.Sequence objects. As you can see, a bug has been reported and an easy fix has been suggested. What is the general view on adding support in testing for Sequence objects?

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next NumPy triage meeting
by Inessa Pawson Nov. 27, 2022

Nov. 27, 2022

The next NumPy triage meeting will be held this Wednesday, August 10th at 16:00 (4 pm) UTC. This is a meeting where we synchronously triage prioritized PRs and issues. Join us via Zoom: https://us06web.zoom.us/j/82096749952?pwd=MW9oUmtKQ1c3a2gydGk1RTdYUUVXZz09 Everyone is welcome to attend and contribute to a conversation. Please notify us of issues or PRs that you’d like to have reviewed by adding a GitHub link to them in the meeting agenda: https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg. Cheers, Inessa Inessa Pawson Contributor Experience Lead | NumPy email: inessa(a)albuscode.org

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Questions on contributing
by Kode D. Creer Nov. 26, 2022

Nov. 26, 2022

Hi. I would like to help contribute with the code. I would like to know where to get started. There are a couple features in mind that I feel is missing and would be helpful.

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NumPy 1.24.0rc1 released
by Charles R Harris Nov. 24, 2022

Nov. 24, 2022

Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 1.24.0rc1. The NumPy 1.24.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase execution speed, and clarify the documentation. There are also a large number of new and expired deprecations due to changes in promotion and cleanups. This might be called a deprecation release. Highlights are - Many new deprecations. - Many expired deprecations. - New f2py features and fixes. - New "dtype" and "casting" keywords for stacking functions. The Python versions supported in this release are 3.8-3.11 Note that 32 bit wheels are only provided for Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.24.0rc1/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.24.0rc1>. The Python 3.8 aarch64 wheel is missing from this pre-release due to build problems. *Contributors* A total of 174 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - @DWesl - @h-vetinari - Aaron Meurer - Aayush Agrawal + - Adam Knapp + - Adarsh Singh + - Al-Baraa El-Hag - Alban Desmaison + - Ales Crocaro + - Alex + - Alexander Grund + - Alexander Kanavin + - Andras Deak - Angéllica Araujo + - Anselm Hahn + - Ari Cooper Davis + - Axel Huebl + - Bas van Beek - Bhavuk Kalra - Bram Ton + - Brent Tan + - Brigitta Sipőcz - Callum O'Riley + - Charles Harris - Chiara Marmo - Christoph Reiter - Damien Caliste - Dan Schult + - Daniel da Silva - DanielHabenicht + - Dave Goel + - David Gilbertson + - Developer-Ecosystem-Engineering - Digya Acharya + - Dimitri Papadopoulos Orfanos - Eric-Shang + - Evgeni Burovski - Ewout ter Hoeven - Felix Hirwa Nshuti + - Frazer McLean + - Ganesh Kathiresan - Gavin Zhang + - Gaëtan de Menten - Greg Lucas - Greg Sadetsky + - Gregory P. Smith [Google LLC] + - Hameer Abbasi - Hannah Aizenman + - Hood Chatham - I-Shen Leong - Iantra Solari + - Ikko Ashimine + - Inessa Pawson - Jake Bowhay + - Jake Close + - Jarrod Millman - Jason Thai - Jessé Pires + - Jhonatan Cunha + - Jingxuan He + - Johnathon Cusick + - Jon Morris - Jordy Williams + - Josh Wilson - João Fontes Gonçalves + - Juan Luis Cano Rodríguez - Jyn Spring 琴春 + - KIU Shueng Chuan - Karl Otness + - Kevin Sheppard - Kinshuk Dua + - Leo Fang - Leona Taric + - Lev Maximov + - Lillian Zha + - Loïc Estève - M. Eric Irrgang + - Mariusz Felisiak - Mark Harfouche - Martin Zacho + - Matheus Santana Patriarca + - Matt Williams + - Matteo Raso + - Matthew Barber - Matthew Brett - Matthew Sterrett + - Matthias Bussonnier - Matthias Koeppe + - Matti Picus - Meekail Zain + - Melissa Weber Mendonça - Michael Osthege + - Michael Siebert + - Mike Toews - Miki Watanabe + - Miles Cranmer + - MilesCranmer + - Monika Kubek + - Muhammad Jarir Kanji + - Mukulika Pahari - Namami Shanker - Nathan Goldbaum + - Nathan Rooy + - Navpreet Singh + - Noritada Kobayashi + - Oleksiy Kononenko + - Omar + - Pal Barta + - Pamphile Roy - Patrick Hoefler + - Pearu Peterson - Pedro Nacht + - Petar Mlinarić + - Pey Lian Lim - Pieter Eendebak - Pradipta Ghosh - Pranab Das + - Precision Wordcraft LLC + - PrecisionWordcraft + - Rafael CF Sousa + - Rafael Cardoso Fernandes Sousa - Rafael Sousa + - Raghuveer Devulapalli - Ralf Gommers - Rin Cat (鈴猫) + - Robert Kern - Rohit Davas + - Rohit Goswami - Ross Barnowski - Ruth Comer + - Sabiha Tahsin Soha + - Sachin Krishnan T V + - Sanjana M Moodbagil + - Sanya Sinha + - Sarah Coffland + - Saransh Chopra + - Satish Kumar Mishra + - Satish Mishra + - Sayed Adel - Schrijvers Luc + - Sebastian Berg - Serge Guelton - Seva Lotoshnikov + - Shashank Gupta + - Shoban Chiddarth + - Shreya Singh + - Shreyas Joshi + - Sicheng Zeng + - Simran Makandar + - Srimukh Sripada + - Stefan van der Walt - Stefanie Molin + - Stuart Archibald - Tania Allard - Thomas A Caswell - Thomas Kastl + - Thomas Mansencal + - Tony Newton / Teng Liu + - Toshiki Kataoka - Tyler Reddy - Vardhaman Kalloli + - Warren Weckesser - Will Ayd + - William Stein + - XinRu Lin + - Yin Li + - Yulv-git + - Yunika Bajracharya + - Zachary Blackwood + - amagicmuffin + - dg3192 + - juztamau5 + - swagatip + - 渡邉美希 + Cheers, Charles Harris

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Add a new inf whose data type is int
by 2601536569＠qq.com Nov. 23, 2022

Nov. 23, 2022

Hi, I am a student and I have very little knowledge about python and numpy, so my suggestion may seem really stupid. One day I was use numpy to implement Floyd algorithm and then I found the data type of np.inf is float, so i can not use min or max function because other data type are int. So I wonder whether you can add a new inf whose data type is int. Thanks

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Add a new CI provider for aarch64, macos arm64, musl
by Matti Picus Nov. 22, 2022

Nov. 22, 2022

I am writing to the list for visibility: I opened an issue [0] about adding the Cirrus CI provider to take over some of the CI task runners from travis.com. We have been experiencing strange timeouts on the travis runs, and in general the platform does not feel stable. SciPy made the transition about two months ago and seem to be satisfied. Thoughts? Matti [0] https://github.com/numpy/numpy/issues/22640 [1] https://github.com/numpy/numpy/pull/22636#issuecomment-1321682645

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NumPy 1.24.x branched
by Charles R Harris Nov. 22, 2022

Nov. 22, 2022

Hi All, NumPy 1.24.x has been branched. Chuck

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Closember
by Inessa Pawson Nov. 20, 2022

Nov. 20, 2022

Some of you might have noticed that at the start of November the “closember” tag was added to the numpy/numpy GtiHub repository ( https://github.com/numpy/numpy). In case you are wondering, Closember ( https://closember.org/) is a month-long initiative hosted by Quansight, OpenTeams, and FairOSS that aims to educate and advocate for better practices in contributing to open source. Here are a few ways for you all to participate in Closember and help the NumPy maintainers: - Review all the issues opened by you: are they still relevant? If not, please close them. If yes, leave a comment with an update. If you found a workaround, share it with the community in a comment to the issue. - Review 12+ months old bug issues: try reproducing a bug to verify that it is still present. If not, please let us know so we can close the issue. - Review your open pull requests: are you intending on finishing them? If yes, please let us know by leaving a comment. If not, please close them. If you have any questions about participating in Closember, please post them in a thread. -- Cheers, Inessa Inessa Pawson Contributor Experience Lead | NumPy https://numpy.org/ GitHub: inessapawson

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next NumPy Newcomers' Hour - 8 pm UTC
by Inessa Pawson Nov. 20, 2022

Nov. 20, 2022

The next NumPy Newcomers’ Hour will be held this Thursday, November 17th at 8 pm UTC. Ross Barnowski, a NumPy maintainer and postdoctoral scholar at Berkeley Institute for Data Science (UC Berkeley), will talk about the content and maintenance of the GitHub repository with NumPy tutorials ( https://github.com/numpy/numpy-tutorials). Ross has been involved in open source software for reproducible, collaborative science since 2015, primarily as an educator. He holds a PhD in Nuclear Engineering from UC Berkeley and previously served as an assistant research scientist and lecturer in the Department of Nuclear Engineering teaching the graduate-level lab in nuclear instrumentation. Join us via Zoom: https://us06web.zoom.us/j/82563808729?pwd=ZFU3Z2dMcXBGb05YemRsaGE1OW5nQT09 -- Cheers, Inessa Inessa Pawson Contributor Experience Lead | NumPy https://numpy.org/ GitHub: inessapawson

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