Mailman 3 May 2020 - NumPy-Discussion

Season of Docs technical writer
by Ben Nathanson 05 May '20

05 May '20

I've updated my page (https://bennathanson.com/numpy2020) to include a section on Curation and Adaptation.

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Re: [Numpy-discussion] Closing resolved good-first-issues
by Tina Oberoi 04 May '20

04 May '20

Fri, 1 May 2020 18:05:14 Ralf Gommers <ralf.gommers(a)gmail.com> wrote: > > Hi Tina, thanks for pointing that out. I have added you to the triage team, > so you are able to close issues that you already noticed are fixed. I'll > have a look at labelling some new ones now. These are the issues that have pull requests merged but still open, Please let me know if I am wrong else we can close these issues: - Issue #9476 <https://github.com/numpy/numpy/issues/9476> - Issue #2802 <https://github.com/numpy/numpy/issues/2802> - Issue #11875 <https://github.com/numpy/numpy/issues/11875> - Issue #13114 <https://github.com/numpy/numpy/issues/13114> - Issue #13758 <https://github.com/numpy/numpy/issues/13758> Thanks and Regards Tina

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NumPy nightly wheel builds
by Charles R Harris 04 May '20

04 May '20

Hi All, The NumPy "nightly" wheel builds, actually built weekly on Sunday mornings, have moved to https://anaconda.org/scipy-wheels-nightly/numpy/files. They can be installed/downloaded using pip: pip install -i https://pypi.anaconda.org/scipy-wheels-nightly/simple numpy Chuck

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ANN: mplcairo 0.3 release
by Antony Lee 03 May '20

03 May '20

Dear all, I am pleased to announce the release of mplcairo 0.3. mplcairo is a Matplotlib backend based on the well-known cairo library, supporting output to both raster (including interactively) and vector formats. In other words, it provides the functionality of Matplotlib's {,qt5,gtk3,wx,tk,macos}{agg,cairo}, pdf, ps, and svg backends. Per Matplotlib's standard API, the backend can be selected by calling matplotlib.use("module://mplcairo.qt") or setting your MPLBACKEND environment variable to `module://mplcairo.qt` for Qt5, and similarly for other toolkits. mplcairo 0.3 adds support for OpenType font features (see `examples/opentype_features.py`), pdftex.map font effects, simplifications to the build, and as well as the usual bugfixes over 0.2. Enjoy, Antony Lee

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NumPy 1.18.4 release
by Charles R Harris 03 May '20

03 May '20

Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.18.4 has been released. This is the last planned release in the 1.18.x series. It reverts the bool("0") behavior introduced in 1.18.3 and fixes a bug in Generator.integers. There is also a link to a new troubleshooting section in the documentation included in the error message emitted when numpy import fails. 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/1.18.4>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.18.4>. *Contributors* A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris - Matti Picus - Sebastian Berg - Warren Weckesser *Pull requests merged* A total of 6 pull requests were merged for this release. - #16055: BLD: add i686 for 1.18 builds - #16090: BUG: random: Generator.integers(2**32) always returned 0. - #16091: BLD: fix path to libgfortran on macOS - #16109: REV: Reverts side-effect changes to casting - #16114: BLD: put openblas library in local directory on windows - #16132: DOC: Change import error "howto" to link to new troubleshooting... Cheers, Charles Harris

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Deprecate inexact matches for mode, order etc ?
by Anirudh Subramanian 02 May '20

02 May '20

Hi all, I added a proposal to deprecate inexact and case insensitive matches for mode, order, searchside and sortkind. in https://github.com/numpy/numpy/pull/16056 , and this stemmed from a discussion started in https://github.com/numpy/numpy/pull/16007#discussion_r410517462 Currently, numpy allows : np.ravel_multi_index(arr, (7, 6), mode='Clip') np.ravel_multi_index(arr, (7, 6), mode='C') np.ravel_multi_index(arr, (7, 6), mode='cat') We have a similar story for order, searchside and sortkind. After the change, all non exact and case insensitive matches will give a deprecationwarning i.e. only exact matches for mode('clip', 'wrap' and 'raise'), order('C', 'F', 'A', 'K'), searchside ('left', 'right') and sortkind ('merge', 'heap', 'stable', 'quick') will be valid. The PR also includes 'byteorder' but i am not too sure about this since (as pointed out in the PR) sys.byteorder uses 'big', 'little' etc. while the numpy documentation uses single capital character to indicate byteorder ('S', 'L’, 'B', 'N', 'I'). Anirudh

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Closing resolved good-first-issues
by Tina Oberoi 01 May '20

01 May '20

Hi all, I observed that there are many good-first-issues that are resolved but yet open. It would be a great help for new contributors if we could close them and label new good-first-issues (if not labelled already). Thanks and Regards Tina

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