Mailman 3 June 2020 - NumPy-Discussion

Fixing fromfile to throw error when opening on gzip files
by Sidhant Bansal June 4, 2020

June 4, 2020

In regard to the issue: https://github.com/numpy/numpy/issues/7713 And my corresponding PR: https://github.com/numpy/numpy/pull/16221 I was advised to put this on the mailing list to get a general sense of how the issue is affecting people and to discuss how I can improve the current PR. I am still interested in resolving this issue, so will be glad to do some re-work to be able to get this merged and fix the issue. The currently proposed PR is a kind of band-aid solution which uses an if-else chunk in the `fromfile` function's internal implementation to catch if the file opened is gzip type or not and throws an error. The drawback lies in the fact that we only are able to resolve gzip type issue and is not extendable to other high level file types which cant be opened. In my findings, I was unable to find a common distinguishing feature for those file types which cannot be opened using fromfile vs those which can be (ex. In a hypothetical situation one kind has the read method and other doesn't). Would love to hear what other people think and if they have any inputs about the what possible common distinguishing features can be there or if we should simply cross-check the file type against a hard-coded list of common high-level file types? Sidhant.

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(no subject)
by Charles R Harris June 4, 2020

June 4, 2020

Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.19.0rc2 has been released. This NumPy release supports Python 3.6-3.8 and is marked by the removal of much technical debt: support for Python 2 has been removed, many deprecations have been expired, and documentation has been improved. The polishing of the random module continues apace with bug fixes and better usability from Cython. Perhaps the most interesting thing for users will be the availability of wheels for aarch64 and PyPY. Downstream developers should use Cython >= 0.29.16 for Python 3.8 support and OpenBLAS >= 3.7 to avoid wrong results on the Skylake architecture. The NumPy Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.19.0rc2/>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.19.0rc2>. *Contributors* A total of 124 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Alex Henrie - Alexandre de Siqueira + - Andras Deak - Andrea Sangalli + - Andreas Klöckner + - Andrei Shirobokov + - Anirudh Subramanian + - Anne Bonner - Anton Ritter-Gogerly + - Benjamin Trendelkamp-Schroer + - Bharat Raghunathan - Brandt Bucher + - Brian Wignall - Bui Duc Minh + - Changqing Li + - Charles Harris - Chris Barker - Chris Holland + - Christian Kastner + - Chunlin + - Chunlin Fang + - Damien Caliste + - Dan Allan - Daniel Hrisca - Daniel Povey + - Dustan Levenstein + - Emmanuelle Gouillart + - Eric Larson - Eric M. Bray - Eric Mariasis + - Eric Wieser - Erik Welch + - Fabio Zeiser + - Gabriel Gerlero + - Ganesh Kathiresan + - Gengxin Xie + - Guilherme Leobas - Guillaume Peillex + - Hameer Abbasi - Hao Jin + - Harshal Prakash Patankar + - Heshy Roskes + - Himanshu Garg + - Huon Wilson + - John Han + - John Kirkham - Jon Dufresne - Jon Morris + - Josh Wilson - Justus Magin - Kai Striega - Kerem Hallaç + - Kevin Sheppard - Kirill Zinovjev + - Marcin Podhajski + - Mark Harfouche - Marten van Kerkwijk - Martin Michlmayr + - Masashi Kishimoto + - Mathieu Lamarre - Matt Hancock + - MatteoRaso + - Matthew Harrigan - Matthias Bussonnier - Matti Picus - Max Balandat + - Maximilian Konrad + - Maxwell Aladago - Maxwell Bileschi + - Melissa Weber Mendonça + - Michael Felt - Mike Taves - Nico Schlömer - Pan Jan + - Paul Rougieux + - Pauli Virtanen - Peter Andreas Entschev - Petre-Flaviu Gostin + - Pierre de Buyl - Piotr Gaiński + - Przemyslaw Bartosik + - Raghuveer Devulapalli - Rakesh Vasudevan + - Ralf Gommers - RenaRuirui + - Roman Yurchak - Ross Barnowski + - Ryan + - Ryan Soklaski - Sanjeev Kumar + - SanthoshBala18 + - Sayed Adel + - Sebastian Berg - Seth Troisi - Sha Liu + - Siba Smarak Panigrahi + - Simon Gasse + - Stephan Hoyer - Steve Dower + - Thomas A Caswell - Till Hoffmann + - Tim Hoffmann - Tina Oberoi + - Tirth Patel - Tyler Reddy - Warren Weckesser - Wojciech Rzadkowski + - Xavier Thomas + - Yilin LI + - Zac Hatfield-Dodds + - Zé Vinícius + - @Adam + - @Anthony + - @Jim + - @bartosz-grabowski + - @dojafrat + - @gamboon + - @jfbu + - @keremh + - @mayeut + - @ndunnewind + - @nglinh + - @shreepads + - @sslivkoff + Cheers, Charles Harris

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NumPy 1.18.5 released
by Charles R Harris June 4, 2020

June 4, 2020

Hi All, On behalf of the NumPy team I am pleased to announce the release of NumPy 1.18.5. This is a short release to enable pickle protocol=5 to be used in Python3.5 and is motivated by the recent backport of pickle5 to Python3.5. The Python versions supported in this release are 3.5-3.8. Downstream developers should use Cython >= 0.29.15 for Python 3.8 support and OpenBLAS >= 3.7 to avoid errors on the Skylake architecture. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.18.5>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.18.5>. *Contributors* A total of 3 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - Charles Harris - Matti Picus - Siyuan Zhuang + *Pull requests merged* A total of 2 pull requests were merged for this release. - #16439: ENH: enable pickle protocol 5 support for python3.5 - #16441: BUG: relpath fails for different drives on windows Cheers, Charles Harris

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NumPy Development Meeting Tomorrow - Triage Focus
by Sebastian Berg June 2, 2020

June 2, 2020

Hi all, Our bi-weekly triage-focused NumPy development meeting is tomorrow (Wednesday, June 3rd) at 11 am Pacific Time (18:00 UTC). Everyone is invited to join in and edit the work-in-progress meeting topics and notes: https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg I encourage everyone to notify us of issues or PRs that you feel should be prioritized or simply discussed briefly. Just comment on it so we can label it, or add your PR/issue to this weeks topics for discussion. Best regards Sebastian

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Reminder: June 01 Deadline for the 2020 John Hunter Excellence in Plotting contest!
by Madicken Munk June 1, 2020

June 1, 2020

Dear numpy community, My apologies for repeated in-list and cross-list posts! I'd like to remind everybody that the 2020 John Hunter Excellence in Plotting Contest submission deadline is June 01 -- only a few days away. We welcome and look forward to your submissions! In memory of John Hunter, we are pleased to announce the John Hunter Excellence in Plotting Contest for 2020. This open competition aims to highlight the importance of data visualization to scientific progress and showcase the capabilities of open source software. Participants are invited to submit scientific plots to be judged by a panel. The winning entries will be announced and displayed at SciPy 2020 or announced in the John Hunter Excellence in Plotting Contest website and youtube channel. John Hunter’s family are graciously sponsoring cash prizes for the winners in the following amounts: - 1st prize: $1000 - 2nd prize: $750 - 3rd prize: $500 - Entries must be submitted by June 1st to the form at https://forms.gle/SrexmkDwiAmDc7ej7 - Winners will be announced at Scipy 2020 or publicly on the John Hunter Excellence in Plotting Contest website and youtube channel - Participants do not need to attend the Scipy conference. - Entries may take the definition of “visualization” rather broadly. Entries may be, for example, a traditional printed plot, an interactive visualization for the web, a dashboard, or an animation. - Source code for the plot must be provided, in the form of Python code and/or a Jupyter notebook, along with a rendering of the plot in a widely used format. The rendering may be, for example, PDF for print, standalone HTML and Javascript for an interactive plot, or MPEG-4 for a video. If the original data can not be shared for reasons of size or licensing, "fake" data may be substituted, along with an image of the plot using real data. - Each entry must include a 300-500 word abstract describing the plot and its importance for a general scientific audience. - Entries will be judged on their clarity, innovation and aesthetics, but most importantly for their effectiveness in communicating a real-world problem. Entrants are encouraged to submit plots that were used during the course of research or work, rather than merely being hypothetical. - SciPy and the John Hunter Excellence in Plotting Contest organizers reserves the right to display any and all entries, whether prize-winning or not, at the conference, use in any materials or on its website, with attribution to the original author(s). - Past entries can be found at https://jhepc.github.io/ - Questions regarding the contest can be sent to jhepc.organizers(a)gmail.com John Hunter Excellence in Plotting Contest Co-Chairs Madicken Munk Nelle Varoquaux

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