diff options
40 files changed, 1105 insertions, 376 deletions
@@ -34,6 +34,7 @@ @yetanothercheer <yetanothercheer@protonmail.com> Aaron Baecker <abaecker@localhost> Aarthi Agurusa <agurusa@gmail.com> +Adarsh Singh <adarshsng090@gmail.com> ADARSH SINGH <adarshsng090@gmail.com> Andrei Batomunkuev <abatomunkuev@myseneca.ca> Ajay DS <turingman@protonmail.com> Ajay DS <turingman@protonmail.com> <ajayds2001@gmail.com> @@ -49,8 +50,10 @@ Aerik Pawson <45904740+aerikpawson@users.noreply.github.com> Ahmet Can Solak <asolak14@ku.edu.tr> Amrit Krishnan <amrit110@gmail.com> Amrit Krishnan <amrit110@gmail.com> <amritk@vectorinstitute.ai> +Alban Desmaison <desmaison.alban@gmail.com> Albert Jornet Puig <albert.jornet@ic3.cat> Alberto Rubiales <arubiales11@gmail.com> +Ales Crocaro <alescrocaro@gmail.com> Alex Rockhill <aprockhill206@gmail.com> Alex Griffing <argriffi@ncsu.edu> Alex Griffing <argriffi@ncsu.edu> <argriffing@gmail.com> @@ -115,6 +118,9 @@ Bertrand Lefebvre <bertrand.l3f@gmail.com> Bharat Raghunathan <bharatraghunthan9767@gmail.com> Bharat Raghunathan <bharatraghunthan9767@gmail.com> <bharatr@symphonyai.com> Bob Eldering <eldering@jive.eu> +Bram Ton <bram@cbbg.nl> +Bram Ton <bram@cbbg.nl> <b.t.ton@saxion.nl> +Bram Ton <bram@cbbg.nl> <github@cbbg.nl> Brent Brewington <brent.brewington@gmail.com> Brett R Murphy <bmurphy@enthought.com> Brian Soto <iambriansoto@gmail.com> @@ -163,6 +169,7 @@ Daniel Rasmussen <daniel.rasmussen@appliedbrainresearch.com> Daniel G. A. Smith <dgasmith@icloud.com> Daniel G. A. Smith <dgasmith@icloud.com> <malorian@me.com> Dario Mory <daaawx@gmail.com> +Dave Goel <deego3@gmail.com> David Badnar <bdvd001@gmail.com> David Cortes <david.cortes.rivera@gmail.com> David Huard <david.huard@gmail.com> dhuard <dhuard@localhost> @@ -179,6 +186,7 @@ Derek Homeier <derek@astro.physik.uni-goettingen.de> <dhomeie@gwdg.de> Derek Homeier <derek@astro.physik.uni-goettingen.de> <derek@astro.phsik.uni-goettingen.de> Derrick Williams <myutat@gmail.com> Devin Shanahan <dshanahan88@gmail.com> +Digya Acharya <digyaacharyaa@gmail.com> Dima Pasechnik <dima@pasechnik.info> Dima Pasechnik <dima@pasechnik.info> <dimpase@gmail.com> Dimitri Papadopoulos Orfanos <3234522+DimitriPapadopoulos@users.noreply.github.com> @@ -227,6 +235,7 @@ Gregory R. Lee <grlee77@gmail.com> <gregory.lee@cchmc.org> Guo Ci <zguoci@gmail.com> guoci <zguoci@gmail.com> Guo Shuai <gs0801@foxmail.com> Hameer Abbasi <einstein.edison@gmail.com> <hameerabbasi@yahoo.com> +Hannah Aizenman <story645@gmail.com> Han Genuit <hangenuit@gmail.com> Hanno Klemm <hanno.klemm@maerskoil.com> hklemm <hanno.klemm@maerskoil.com> Harsh Mishra <erbeusgriffincasper@gmail.com> @@ -243,6 +252,7 @@ Irina Maria Mocan <28827042+IrinaMaria@users.noreply.github.com> Irvin Probst <irvin.probst@ensta-bretagne.fr> Ivan Meleshko <vn.mlshk@gmail.com> Isabela Presedo-Floyd <irpf.design@gmail.com> <ipresedo@calpoly.edu> +Ganesh Kathiresan <ganesh3597@gmail.com> Gerhard Hobler <gerhard.hobler@tuwien.ac.at> Giannis Zapantis <sdi1900059@di.uoa.gr> Guillaume Peillex <guillaume.peillex@gmail.com> @@ -250,6 +260,7 @@ Jack J. Woehr <jwoehr@softwoehr.com> Jaime Fernandez <jaime.frio@gmail.com> Jaime Fernandez <jaime.frio@gmail.com> <jaime.fernandez@hp.com> Jaime Fernandez <jaime.frio@gmail.com> <jaimefrio@google.com> +Jake Close <jsclose@umich.edu> Jakob Jakobson <jakobjakobson13@posteo.de> Jakob Jakobson <jakobjakobson13@posteo.de> <43045863+jakobjakobson13@users.noreply.github.com> James Bourbeau <jrbourbeau@gmail.com> <jrbourbeau@users.noreply.github.com> @@ -269,7 +280,10 @@ Jérémie du Boisberranger <jeremie.du-boisberranger@inria.fr> jeremiedbb <34657 Jérome Eertmans <jeertmans@icloud.com> Jérôme Richard <jeromerichard111@msn.com> <ubuntu@ip-172-31-17-195.eu-west-3.compute.internal> Jerome Kelleher <jerome.kelleher@ed.ac.uk> +Jessé Pires <jesserocha@alunos.utfpr.edu.br> Jessi J Zhao <35235453+jessijzhao@users.noreply.github.com> +João Fontes Gonçalves <jfontesgoncalves@gmail.com> +Johnathon Cusick <jonathan.cusick09@gmail.com> Jhong-Ken Chen (陳仲肯) <kenny.kuo.fs@gmail.com> Jhong-Ken Chen (陳仲肯) <kenny.kuo.fs@gmail.com> <37182101+kennychenfs@users.noreply.github.com> Johannes Hampp <johannes.hampp@zeu.uni-giessen.de> <42553970+euronion@users.noreply.github.com> @@ -319,9 +333,11 @@ Lars Buitinck <larsmans@gmail.com> Lars Buitinck <l.buitinck@esciencecenter.nl> Lars Buitinck <larsmans@gmail.com> Lars Buitinck <L.J.Buitinck@uva.nl> Lars Grüter <lagru@mailbox.org> Lars Grüter <lagru@mailbox.org> <lagru@users.noreply.github.com> +Leona Taric <92495067+LeonaTaric@users.noreply.github.com> Leonardus Chen <leonardus.chen@gmail.com> Licht Takeuchi <licht-t@outlook.jp> <licht-t@math.dis.titech.ac.jp> Lorenzo Mammana <mammanalorenzo@outlook.it> <lorenzom96@hotmail.it> +Lillian Zha <lillianzha@gmail.com> Luis Pedro Coelho <luis@luispedro.org> <lpc@cmu.edu> Luke Zoltan Kelley <lkelley@cfa.harvard.edu> Madhulika Jain Chambers <madhulikajain@gmail.com> <53166646+madhulikajc@users.noreply.github.com> @@ -346,6 +362,7 @@ Martin Teichmann <martin.teichmann@xfel.eu> <lkb.teichmann@gmail.com> Mary Conley <sleeplessinseattle.dev@gmail.com> Masashi Kishimoto <drehbleistift@gmail.com> Matheus Vieira Portela <matheus.v.portela@gmail.com> +Matheus Santana Patriarca <matheussantanapatriarca2019@outlook.com> Mathieu Lamarre <mlamarre@ea.com> <mathieu@vlam3d.com> Matías Ríos <riosm@dickinson.edu> Matt Ord <Matthew.ord1@gmail.com> @@ -391,6 +408,8 @@ Nicholas A. Del Grosso <delgrosso@bio.lmu.de> nickdg <delgrosso@bio.lmu.de> Nicholas McKibben <nicholas.bgp@gmail.com> Nick Minkyu Lee <mknicklee@protonmail.com> fivemok <9394929+fivemok@users.noreply.github.com> Oliver Eberle <oliver_eberle@web.de> +Oleksiy Kononenko <Oleksiy.S.Kononenko@gmail.com> +Oleksiy Kononenko <Oleksiy.S.Kononenko@gmail.com> <35204136+oleksiyskononenko@users.noreply.github.com> Omid Rajaei <rajaei.net@gmail.com> Omid Rajaei <rajaei.net@gmail.com> <89868505+rajaeinet@users.noreply.github.com> Ondřej Čertík <ondrej.certik@gmail.com> @@ -403,6 +422,8 @@ Paul Ivanov <pivanov5@bloomberg.net> <pi@berkeley.edu> Paul Ivanov <pivanov5@bloomberg.net> <paul.ivanov@local> Paul YS Lee <leeyspaul@gmail.com> Paul <leeyspaul@users.noreply.github.com> Paul Jacobson <hpj3@myuw.net> +Pey Lian Lim <lim@stsci.edu> +Pey Lian Lim <lim@stsci.edu> <2090236+pllim@users.noreply.github.com> Pearu Peterson <pearu.peterson@gmail.com> <pearu@pearu-laptop.(none)> Pete Peeradej Tanruangporn <pete.tanru@gmail.com> Peter Bell <peterbell10@live.co.uk> @@ -447,10 +468,12 @@ Samesh Lakhotia <samesh.lakhotia@gmail.com> Samesh Lakhotia <samesh.lakhotia@gmail.com> <43701530+sameshl@users.noreply.github.com> Sami Salonen <ssalonen@gmail.com> <sami.salonen@eniram.fi> Sanchez Gonzalez Alvaro <as12513@imperial.ac.uk> +Sanya Sinha <83265366+ssanya942@users.noreply.github.com> Saransh Chopra <saransh0701@gmail.com> Saullo Giovani <saullogiovani@gmail.com> Saurabh Mehta <e.samehta@gmail.com> Sayantika Banik <sayantikabanik122@gmail.com> +Schrijvers Luc <begasus@gmail.com> Sebastian Berg <sebastian@sipsolutions.net> Sebastian Schleehauf <slepton@posteo.de> Serge Guelton <serge.guelton@telecom-bretagne.eu> @@ -459,6 +482,7 @@ Shubham Gupta <mastershubham@gmail.com> Shubham Gupta <mastershubham@gmail.com> <63910248+shubham11941140@users.noreply.github.com> Shekhar Prasad Rajak <shekharrajak@live.com> Shen Zhou <shen_zhou@u.nus.edu> +Shreya Singh <shreyas1696@gmail.com> Shota Kawabuchi <shota.kawabuchi+GitHub@gmail.com> Siavash Eliasi <siavashserver@gmail.com> Simon Conseil <contact@saimon.org> <simon.conseil@univ-lyon1.fr> @@ -503,6 +527,7 @@ Travis Oliphant <teoliphant@gmail.com> <oliphant@enthought.com> Travis Oliphant <teoliphant@gmail.com> <travis@continuum.io> Valentin Haenel <valentin@haenel.co> <valentin.haenel@gmx.de> Valentin Haenel <valentin@haenel.co> <vhaenel@anaconda.com> +Vardhaman Kalloli <83634399+cyai@users.noreply.github.com> Varun Nayyar <nayyarv@gmail.com> <nayyarv@users.noreply.github.com> Vinith Kishore <vinith.kishore@unibas.ch> Vinith Kishore <vinith.kishore@unibas.ch> <85550536+vinith2@users.noreply.github.com> diff --git a/doc/changelog/1.24.0-changelog.rst b/doc/changelog/1.24.0-changelog.rst new file mode 100644 index 000000000..abce1dcbc --- /dev/null +++ b/doc/changelog/1.24.0-changelog.rst @@ -0,0 +1,607 @@ + +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 + + +Pull requests merged +==================== + +A total of 420 pull requests were merged for this release. + +* `#12065 <https://github.com/numpy/numpy/pull/12065>`__: API: Optimize np.isin and np.in1d for integer arrays and add... +* `#15782 <https://github.com/numpy/numpy/pull/15782>`__: ENH: complete the 'vars' list of a module +* `#16022 <https://github.com/numpy/numpy/pull/16022>`__: ENH: Adding __array_ufunc__ capability to MaskedArrays +* `#16154 <https://github.com/numpy/numpy/pull/16154>`__: ENH: Add support for symbol to polynomial package +* `#16507 <https://github.com/numpy/numpy/pull/16507>`__: BUG: Do not allow nditer to reduce the mask +* `#16971 <https://github.com/numpy/numpy/pull/16971>`__: BUG: Fix three ``complex``- & ``float128``-related issues with ``nd_grid`` +* `#19388 <https://github.com/numpy/numpy/pull/19388>`__: ENH: Support character and character string arrays +* `#20321 <https://github.com/numpy/numpy/pull/20321>`__: ENH: allow NumPy created .npy files to be appended in-place +* `#20659 <https://github.com/numpy/numpy/pull/20659>`__: BUG: cross product. Added dtype conversions of inputs. See. #19138 +* `#20913 <https://github.com/numpy/numpy/pull/20913>`__: ENH, SIMD: Extend universal intrinsics to support IBMZ +* `#20914 <https://github.com/numpy/numpy/pull/20914>`__: BUG: change ``ma.mean`` dtype to be consistent with ``np.mean`` +* `#20924 <https://github.com/numpy/numpy/pull/20924>`__: MAINT: Simplify element setting and use it for filling +* `#20949 <https://github.com/numpy/numpy/pull/20949>`__: MAINT: Rename INSTALL.rst.txt to INSTALL.rst +* `#21041 <https://github.com/numpy/numpy/pull/21041>`__: ENH: Implement string comparison ufuncs (or almost) +* `#21084 <https://github.com/numpy/numpy/pull/21084>`__: MAINT: Fix computation of numpy.array_api.linalg.vector_norm +* `#21098 <https://github.com/numpy/numpy/pull/21098>`__: DOC: Fix axis naming in ``argpartition`` docs +* `#21103 <https://github.com/numpy/numpy/pull/21103>`__: NEP: Add NEP 50 draft about fixing scalar promotion rules +* `#21152 <https://github.com/numpy/numpy/pull/21152>`__: DOC: verifying bug existence and fixes - replacement for PR 17851 +* `#21248 <https://github.com/numpy/numpy/pull/21248>`__: DOC: improve description of the ``data`` entry in ``__array_interface__`` +* `#21308 <https://github.com/numpy/numpy/pull/21308>`__: MAINT: Start testing with Python 3.11. +* `#21403 <https://github.com/numpy/numpy/pull/21403>`__: MAINT: remove some names from main numpy namespace +* `#21437 <https://github.com/numpy/numpy/pull/21437>`__: ENH: Add floating point error checking to (almost) all casts +* `#21468 <https://github.com/numpy/numpy/pull/21468>`__: ENH: Use ``threadpoolctl`` in ``show_runtime`` (a new function) +* `#21471 <https://github.com/numpy/numpy/pull/21471>`__: DOC: adding docstring to TooHardError class +* `#21483 <https://github.com/numpy/numpy/pull/21483>`__: SIMD: Use universal intrinsics to implement comparison functions +* `#21501 <https://github.com/numpy/numpy/pull/21501>`__: DOC: improve ``ascontiguousarray()`` and ``asfortranarray()`` examples +* `#21504 <https://github.com/numpy/numpy/pull/21504>`__: MAINT: Fix some typos. +* `#21507 <https://github.com/numpy/numpy/pull/21507>`__: BUG: Better report integer division overflow +* `#21527 <https://github.com/numpy/numpy/pull/21527>`__: PERF: Fast path for dtype lookup of float and long +* `#21537 <https://github.com/numpy/numpy/pull/21537>`__: DOC: Add a policy about inactive PRs. +* `#21564 <https://github.com/numpy/numpy/pull/21564>`__: TST: Enable doctests in IO Howto with testsetup and testcleanup +* `#21567 <https://github.com/numpy/numpy/pull/21567>`__: BUG: Adding the default pytest doctest instead of the ValueError +* `#21572 <https://github.com/numpy/numpy/pull/21572>`__: MAINT: allow absolute module names in refguide-check +* `#21579 <https://github.com/numpy/numpy/pull/21579>`__: DOC: Improve docstring of numpy.testing.assert_allclose +* `#21581 <https://github.com/numpy/numpy/pull/21581>`__: REL: Prepare main for NumPy 1.24.0 development +* `#21582 <https://github.com/numpy/numpy/pull/21582>`__: MAINT: Fix some small refcounting and similar issues +* `#21583 <https://github.com/numpy/numpy/pull/21583>`__: Add ``CODEOWNER`` for the ``array_api`` module +* `#21587 <https://github.com/numpy/numpy/pull/21587>`__: DOC: update logarithm docs as per theory. +* `#21591 <https://github.com/numpy/numpy/pull/21591>`__: BUG, STY: Fix doctest failure in EXAMPLE_DOCSTRING. +* `#21595 <https://github.com/numpy/numpy/pull/21595>`__: ENH: Add strict parameter to assert_array_equal. Fixes #9542 +* `#21596 <https://github.com/numpy/numpy/pull/21596>`__: TYP,MAINT: Allow unsigned integer inplace-ops to accept signed... +* `#21600 <https://github.com/numpy/numpy/pull/21600>`__: DOC: Add missing links for NEP36 and NEP49 +* `#21601 <https://github.com/numpy/numpy/pull/21601>`__: DOC: update NEP29 to address PEP0602 +* `#21602 <https://github.com/numpy/numpy/pull/21602>`__: BUILD: fix tag name for travis: it is v1.23.0rc1 +* `#21605 <https://github.com/numpy/numpy/pull/21605>`__: MAINT: Adapt npt._GenericAlias to Python 3.11 types.GenericAlias... +* `#21609 <https://github.com/numpy/numpy/pull/21609>`__: MAINT: Fix some API versions. +* `#21611 <https://github.com/numpy/numpy/pull/21611>`__: MAINT: make MismatchCAPIWarnining into MismatchCAPIError +* `#21615 <https://github.com/numpy/numpy/pull/21615>`__: MAINT: Remove compatibility shims for old versions of PyPy +* `#21616 <https://github.com/numpy/numpy/pull/21616>`__: DOC: Describe the changed Python release cadence better +* `#21617 <https://github.com/numpy/numpy/pull/21617>`__: MAINT, STY: Make download-wheels download source files. +* `#21620 <https://github.com/numpy/numpy/pull/21620>`__: MAINT: Fortify masked in-place ops against promotion warnings +* `#21622 <https://github.com/numpy/numpy/pull/21622>`__: TST: Skip F2PY tests without Fortran compilers +* `#21623 <https://github.com/numpy/numpy/pull/21623>`__: ENH: Add equals_nans kwarg to np.unique +* `#21624 <https://github.com/numpy/numpy/pull/21624>`__: DOC: move ``import_array`` and ``import_umath`` above ``PyModule_Create`` +* `#21626 <https://github.com/numpy/numpy/pull/21626>`__: API: Introduce optional (and partial) NEP 50 weak scalar logic +* `#21627 <https://github.com/numpy/numpy/pull/21627>`__: ENH: adding casting option to numpy.stack. +* `#21630 <https://github.com/numpy/numpy/pull/21630>`__: MAINT: back out conversion of npymath component to c++ +* `#21632 <https://github.com/numpy/numpy/pull/21632>`__: API: Retain ``arr.base`` more strictly in ``np.frombuffer`` +* `#21639 <https://github.com/numpy/numpy/pull/21639>`__: BUG: use explicit einsum_path whenever it is given +* `#21641 <https://github.com/numpy/numpy/pull/21641>`__: DOC: Note version-switcher update in the release walkthrough +* `#21644 <https://github.com/numpy/numpy/pull/21644>`__: MAINT: Fixup ``unique``'s ``equal_nan`` kwarg to match ``np.array_equal`` +* `#21645 <https://github.com/numpy/numpy/pull/21645>`__: DEP: Remove ``normed=`` keyword argument from histograms +* `#21648 <https://github.com/numpy/numpy/pull/21648>`__: ENH: issue overflow warning when using ``abs`` on ``np.int8(-128)`` +* `#21651 <https://github.com/numpy/numpy/pull/21651>`__: MAINT: Remove unused/not useful CODEOWNERS file again +* `#21654 <https://github.com/numpy/numpy/pull/21654>`__: MAINT: limit the number of decimals in Polynomial representation +* `#21658 <https://github.com/numpy/numpy/pull/21658>`__: MAINT: improved overflow check to avoid undefined behavior +* `#21659 <https://github.com/numpy/numpy/pull/21659>`__: BUG: Fix a bug left after f2py2e refactor +* `#21661 <https://github.com/numpy/numpy/pull/21661>`__: TYP, ENH: Add annotations for the ``equal_nan`` keyword to ``np.unique`` +* `#21662 <https://github.com/numpy/numpy/pull/21662>`__: DOC: ``np`` in double backticks. +* `#21663 <https://github.com/numpy/numpy/pull/21663>`__: DEP: Deprecate (rather than remove) the int-via-float parsing... +* `#21664 <https://github.com/numpy/numpy/pull/21664>`__: DOC: Misc RST reformatting. +* `#21666 <https://github.com/numpy/numpy/pull/21666>`__: MAINT: Change array API unique_*() functions to not compare nans... +* `#21675 <https://github.com/numpy/numpy/pull/21675>`__: DOC: Add note about broadcasting support for ``random.Generator.multinomial`` +* `#21677 <https://github.com/numpy/numpy/pull/21677>`__: DOC: RST Titles Underline reordering +* `#21681 <https://github.com/numpy/numpy/pull/21681>`__: MAINT: Point documentation version switcher at the docs homepage +* `#21687 <https://github.com/numpy/numpy/pull/21687>`__: BUG: switch _CMP_NEQ_OQ to _CMP_NEQ_UQ for npyv_cmpneq_f[32,64] +* `#21689 <https://github.com/numpy/numpy/pull/21689>`__: DOC: Fix broadcasting documentation. +* `#21690 <https://github.com/numpy/numpy/pull/21690>`__: BUG: Prevent attempted broadcasting of 0-D output operands in... +* `#21691 <https://github.com/numpy/numpy/pull/21691>`__: BUG: Small fixupes found using valgrind +* `#21692 <https://github.com/numpy/numpy/pull/21692>`__: MAINT: Renamed doc/records.rst.txt to doc/records.rst +* `#21701 <https://github.com/numpy/numpy/pull/21701>`__: BUG: Enable fortran preprocessing for ifort on Windows +* `#21704 <https://github.com/numpy/numpy/pull/21704>`__: DOC: Mention positional-only arguments in the array API compatibility... +* `#21705 <https://github.com/numpy/numpy/pull/21705>`__: BLD, SIMD: Fix detect armhf and hardened the Neon/ASIMD compile-time... +* `#21707 <https://github.com/numpy/numpy/pull/21707>`__: MAINT: generate_umath.py: do not write full path into output... +* `#21709 <https://github.com/numpy/numpy/pull/21709>`__: TST: Fixup loadtxt int-via-float tests when in release mode +* `#21712 <https://github.com/numpy/numpy/pull/21712>`__: BUG: ``.f2py_f2cmap`` doesn't map ``long_long`` and other options +* `#21715 <https://github.com/numpy/numpy/pull/21715>`__: DOC: Tell people to use only-binary option +* `#21723 <https://github.com/numpy/numpy/pull/21723>`__: DOC: Update sphinx, numpydoc, and pydata-sphinx-theme +* `#21727 <https://github.com/numpy/numpy/pull/21727>`__: MAINT, SIMD: Handle overflow gracefully in integer division +* `#21731 <https://github.com/numpy/numpy/pull/21731>`__: ENH: Ensure dispatcher TypeErrors report original name +* `#21732 <https://github.com/numpy/numpy/pull/21732>`__: ENH: Add support for platforms with missing fenv flags +* `#21733 <https://github.com/numpy/numpy/pull/21733>`__: ENH: Fix pointer size determination for cross build +* `#21734 <https://github.com/numpy/numpy/pull/21734>`__: ENH: Check that we are targeting x86 or x64 architecture before... +* `#21735 <https://github.com/numpy/numpy/pull/21735>`__: ENH: cross compilation: use sysconfig to determine if x86_64... +* `#21745 <https://github.com/numpy/numpy/pull/21745>`__: MAINT: Remove FPE helper code that is unnecessary on C99/C++11 +* `#21748 <https://github.com/numpy/numpy/pull/21748>`__: BUG: Fix for npyv_orc_b8 and npyv_xnor_b8 for s390x (z13) +* `#21749 <https://github.com/numpy/numpy/pull/21749>`__: BUG, SIMD: Fix detecting NEON/ASIMD on aarch64 +* `#21750 <https://github.com/numpy/numpy/pull/21750>`__: CI: Fix CI SIMD build on s390x +* `#21755 <https://github.com/numpy/numpy/pull/21755>`__: BUG: Do not skip value-based promotion path for large Python... +* `#21759 <https://github.com/numpy/numpy/pull/21759>`__: BUG: Fix small reference leaks found with pytest-leaks +* `#21763 <https://github.com/numpy/numpy/pull/21763>`__: MAINT: use f-string format in test_abc.py +* `#21764 <https://github.com/numpy/numpy/pull/21764>`__: BUG: Fix a potential variable misuse bug +* `#21766 <https://github.com/numpy/numpy/pull/21766>`__: CI: Guard compile-time CPU features tests +* `#21771 <https://github.com/numpy/numpy/pull/21771>`__: MAINT: Add a check of the return value of PyMem_Calloc(). +* `#21773 <https://github.com/numpy/numpy/pull/21773>`__: MAINT: fix typo in string_ufuncs.cpp +* `#21776 <https://github.com/numpy/numpy/pull/21776>`__: CI: add workflow for non-optimized builds +* `#21778 <https://github.com/numpy/numpy/pull/21778>`__: MAINT, SIMD: remove orphan path vsx/conversion.h +* `#21779 <https://github.com/numpy/numpy/pull/21779>`__: MAINT: random: Disallow complex inputs in multivariate_normal +* `#21786 <https://github.com/numpy/numpy/pull/21786>`__: MAINT: fix up use of ``NPY_NO_DEPRECATED_API`` usage in f2py +* `#21789 <https://github.com/numpy/numpy/pull/21789>`__: ENH: Change f2c declarations with void return type to int +* `#21790 <https://github.com/numpy/numpy/pull/21790>`__: ENH: add overflow handling for scalar ``negative`` operation +* `#21793 <https://github.com/numpy/numpy/pull/21793>`__: ENH: Add overflow handling for negative integers scalar multiplication +* `#21794 <https://github.com/numpy/numpy/pull/21794>`__: BUG: lib: A loadtxt error message had two values reversed. +* `#21795 <https://github.com/numpy/numpy/pull/21795>`__: ENH: Ensure that assertion of unsigned dtypes does not return... +* `#21796 <https://github.com/numpy/numpy/pull/21796>`__: BUG: Fix comparison for empty structured arrays +* `#21797 <https://github.com/numpy/numpy/pull/21797>`__: MAINT: Reduce object construction in np.require +* `#21798 <https://github.com/numpy/numpy/pull/21798>`__: MAINT: use PyErr_SetString in _import_array where possible +* `#21807 <https://github.com/numpy/numpy/pull/21807>`__: ENH: Handle the value attribute in F2Py wrappers +* `#21812 <https://github.com/numpy/numpy/pull/21812>`__: BUG: Define ``<``, ``<=``, ``>``, ``>=`` for masked arrays +* `#21815 <https://github.com/numpy/numpy/pull/21815>`__: BUG: Fix discovered MachAr (still used within valgrind) +* `#21817 <https://github.com/numpy/numpy/pull/21817>`__: ENH: Always fill object fields with None rather than NULL +* `#21823 <https://github.com/numpy/numpy/pull/21823>`__: MAINT: Try fixing broken Anaconda uploads. +* `#21828 <https://github.com/numpy/numpy/pull/21828>`__: MAINT: Update main after 1.23.0 release. +* `#21830 <https://github.com/numpy/numpy/pull/21830>`__: DOC: Change substract to subtract in comment +* `#21832 <https://github.com/numpy/numpy/pull/21832>`__: PERF: Micro optimize np.linspace +* `#21835 <https://github.com/numpy/numpy/pull/21835>`__: TST: Add f2py CLI tests +* `#21836 <https://github.com/numpy/numpy/pull/21836>`__: DOC: F2PY documentation improvements +* `#21837 <https://github.com/numpy/numpy/pull/21837>`__: DOC: Document expectation for object array initialization +* `#21842 <https://github.com/numpy/numpy/pull/21842>`__: BUG: Fix in1d for empty integer array as input +* `#21844 <https://github.com/numpy/numpy/pull/21844>`__: DOC: Rephrase dimensionality, size in broadcasting.rst +* `#21848 <https://github.com/numpy/numpy/pull/21848>`__: BUG: Handle NaNs correctly for float16 during sorting +* `#21849 <https://github.com/numpy/numpy/pull/21849>`__: MAINT: Update the documentation Makefile +* `#21851 <https://github.com/numpy/numpy/pull/21851>`__: BUG: Use ``keepdims`` during normalization in ``np.average`` and... +* `#21853 <https://github.com/numpy/numpy/pull/21853>`__: DOC: Update the docstring for np.around +* `#21854 <https://github.com/numpy/numpy/pull/21854>`__: DOC: mention changes to ``max_rows`` behaviour in ``np.loadtxt`` +* `#21855 <https://github.com/numpy/numpy/pull/21855>`__: DOC: Replace the mathematical notation N(...) with text. +* `#21856 <https://github.com/numpy/numpy/pull/21856>`__: DOC: Mention uniform in the np.random.Generator.random function. +* `#21857 <https://github.com/numpy/numpy/pull/21857>`__: BUG: Reject non integer array-likes with size 1 in delete +* `#21860 <https://github.com/numpy/numpy/pull/21860>`__: BUG: Fix numpy.isin for timedelta dtype +* `#21861 <https://github.com/numpy/numpy/pull/21861>`__: DOC: clarify loadtxt input cols requirement +* `#21863 <https://github.com/numpy/numpy/pull/21863>`__: ENH,MAINT: Improve and simplify scalar floating point warnings +* `#21872 <https://github.com/numpy/numpy/pull/21872>`__: CI: tools: Remove a long but obsolete comment from travis-test.sh +* `#21875 <https://github.com/numpy/numpy/pull/21875>`__: ENH: Implement correct scalar and integer overflow errors for... +* `#21876 <https://github.com/numpy/numpy/pull/21876>`__: DOC: Fixed minor typo in reference +* `#21877 <https://github.com/numpy/numpy/pull/21877>`__: DOC: dark theme css rules +* `#21879 <https://github.com/numpy/numpy/pull/21879>`__: CI: skip azp and circleCI logic +* `#21881 <https://github.com/numpy/numpy/pull/21881>`__: MAINT: Disable checks for Win workaround for GCC +* `#21884 <https://github.com/numpy/numpy/pull/21884>`__: MAINT: Fix non-void function does not return a value warning +* `#21885 <https://github.com/numpy/numpy/pull/21885>`__: DOC: Link to PEP-484 in the typing docs +* `#21886 <https://github.com/numpy/numpy/pull/21886>`__: Fix lib flags for librandom +* `#21887 <https://github.com/numpy/numpy/pull/21887>`__: BLD: Allow GCC compile on mingw-w64-based systems +* `#21890 <https://github.com/numpy/numpy/pull/21890>`__: BUG: Fix KeyError in crackfortran operator support +* `#21894 <https://github.com/numpy/numpy/pull/21894>`__: BUG: Fix datetime_to_timedelta_resolve_descriptors signature +* `#21895 <https://github.com/numpy/numpy/pull/21895>`__: ENH, CI: Add Emscripten to CI +* `#21896 <https://github.com/numpy/numpy/pull/21896>`__: BLD: Make can_link_svml return False for 32bit builds on x86_64 +* `#21904 <https://github.com/numpy/numpy/pull/21904>`__: DOC: Add usage example to np.char.center docstring +* `#21905 <https://github.com/numpy/numpy/pull/21905>`__: DOC: Fix the interpolation formulae for quantile and percentile +* `#21909 <https://github.com/numpy/numpy/pull/21909>`__: DOC: fix typo in ``numpy._typing._NestedSequence`` docstring example +* `#21921 <https://github.com/numpy/numpy/pull/21921>`__: DOC: Fix typo on Byte-swapping page +* `#21922 <https://github.com/numpy/numpy/pull/21922>`__: DOC: fix typo on custom array containers page +* `#21924 <https://github.com/numpy/numpy/pull/21924>`__: CI: Use OpenBLAS again on Cygwin +* `#21925 <https://github.com/numpy/numpy/pull/21925>`__: BUG: Fix subarray to object cast ownership details +* `#21926 <https://github.com/numpy/numpy/pull/21926>`__: MAINT: random: Annotate default_rng with cython.embedsignature +* `#21927 <https://github.com/numpy/numpy/pull/21927>`__: DOC: Add a note about security and NumPy to the documentation +* `#21928 <https://github.com/numpy/numpy/pull/21928>`__: BUG: Fix the implementation of numpy.array_api.vecdot +* `#21943 <https://github.com/numpy/numpy/pull/21943>`__: DOC, MAINT: Document the C-API incompatibility error and point... +* `#21945 <https://github.com/numpy/numpy/pull/21945>`__: MAINT, DOC: Update release guide +* `#21946 <https://github.com/numpy/numpy/pull/21946>`__: BUG: Reorder extern "C" to only apply to function declarations... +* `#21948 <https://github.com/numpy/numpy/pull/21948>`__: [DOC] Double backticks in lagfit. +* `#21954 <https://github.com/numpy/numpy/pull/21954>`__: TST: Add tests for FP16 umath functions +* `#21955 <https://github.com/numpy/numpy/pull/21955>`__: ENH: Vectorize FP16 umath functions using AVX512 +* `#21956 <https://github.com/numpy/numpy/pull/21956>`__: MAINT: Update main after 1.23.1 release. +* `#21957 <https://github.com/numpy/numpy/pull/21957>`__: TYP,ENH: Mark all unhashable classes as such +* `#21959 <https://github.com/numpy/numpy/pull/21959>`__: BUG: Use ``Popen`` to silently invoke f77 -v +* `#21960 <https://github.com/numpy/numpy/pull/21960>`__: Revert "ENH: Adding __array_ufunc__ capability to MaskedArrays" +* `#21963 <https://github.com/numpy/numpy/pull/21963>`__: BLD: remove outdated pin for ``packaging`` on macOS arm64 +* `#21965 <https://github.com/numpy/numpy/pull/21965>`__: Added priority in bug-report issue-template +* `#21968 <https://github.com/numpy/numpy/pull/21968>`__: ENH: Add ``__array_ufunc__`` typing support to the ``nin=1`` ufuncs +* `#21973 <https://github.com/numpy/numpy/pull/21973>`__: DOC: correct docstring for numpy.correlate() +* `#21974 <https://github.com/numpy/numpy/pull/21974>`__: MAINT, TYP: Fix ``np.angle`` dtype-overloads +* `#21976 <https://github.com/numpy/numpy/pull/21976>`__: ENH: Add the capability to swap the singleton bit generator +* `#21977 <https://github.com/numpy/numpy/pull/21977>`__: ENH: Adding __array_ufunc__ capability to MaskedArrays +* `#21979 <https://github.com/numpy/numpy/pull/21979>`__: BUG: Fix experimental dtype slot numbers +* `#21981 <https://github.com/numpy/numpy/pull/21981>`__: TST: ensure ``np.equal.reduce`` raises a ``TypeError`` +* `#21982 <https://github.com/numpy/numpy/pull/21982>`__: MAINT: Do not let ``_GenericAlias`` wrap the underlying classes'... +* `#21983 <https://github.com/numpy/numpy/pull/21983>`__: TYP,MAINT: Allow ``einsum`` subscripts to be passed via integer... +* `#21984 <https://github.com/numpy/numpy/pull/21984>`__: MAINT,TYP: Add object-overloads for the ``np.generic`` rich comparisons +* `#21986 <https://github.com/numpy/numpy/pull/21986>`__: MAINT: Remove two unused imports +* `#21991 <https://github.com/numpy/numpy/pull/21991>`__: MAINT: rm old warning +* `#21992 <https://github.com/numpy/numpy/pull/21992>`__: DOC: cross-reference descriptions of frombuffer and ndarray.tobytes +* `#21993 <https://github.com/numpy/numpy/pull/21993>`__: BUG: fix ma.minimum.reduce with axis keyword +* `#21995 <https://github.com/numpy/numpy/pull/21995>`__: BUG: Distinguish exact vs. equivalent dtype for C type aliases. +* `#21996 <https://github.com/numpy/numpy/pull/21996>`__: BUG: Avoid errors on NULL during deepcopy +* `#21997 <https://github.com/numpy/numpy/pull/21997>`__: DOC: unify ``np.transpose``, ``np.ndarray.transpose``, and ``np.ndarray.T`` +* `#21999 <https://github.com/numpy/numpy/pull/21999>`__: BUG: Fix masked median bug +* `#22000 <https://github.com/numpy/numpy/pull/22000>`__: DOC: some improvements in the NumPy/MATLAB comparison +* `#22002 <https://github.com/numpy/numpy/pull/22002>`__: DOC: add links to ``linalg`` in docs of ``dot`` and ``matmul`` +* `#22004 <https://github.com/numpy/numpy/pull/22004>`__: DEP: Finalize ragged array creation deprecation +* `#22008 <https://github.com/numpy/numpy/pull/22008>`__: MAINT: remove unneeded ``__future__`` imports +* `#22009 <https://github.com/numpy/numpy/pull/22009>`__: BUG: fix np.average for Fraction elements +* `#22010 <https://github.com/numpy/numpy/pull/22010>`__: DOC: Add versionchanged for converter callable behavior. +* `#22013 <https://github.com/numpy/numpy/pull/22013>`__: DOC: updated masked_print_option and added explanation +* `#22014 <https://github.com/numpy/numpy/pull/22014>`__: BUG/ENH: Allow bit generators to supply their own constructor +* `#22016 <https://github.com/numpy/numpy/pull/22016>`__: BUG: Revert using __array_ufunc__ for MaskedArray +* `#22017 <https://github.com/numpy/numpy/pull/22017>`__: ENH: reorder includes for testing on top of system installations... +* `#22022 <https://github.com/numpy/numpy/pull/22022>`__: MAINT,TYP: Allow the ``squeeze`` and ``transpose`` method to... +* `#22024 <https://github.com/numpy/numpy/pull/22024>`__: BUG: Expose string_heapsort algorithm in a shared header +* `#22043 <https://github.com/numpy/numpy/pull/22043>`__: BLD: use macos-11 image on azure, macos-1015 is deprecated +* `#22045 <https://github.com/numpy/numpy/pull/22045>`__: ENH: allow importlib.LazyLoader to work with numpy and add test... +* `#22046 <https://github.com/numpy/numpy/pull/22046>`__: BUG: Make ``mask_invalid`` consistent with ``mask_where`` if ``copy``... +* `#22053 <https://github.com/numpy/numpy/pull/22053>`__: MAINT: Quiet the anaconda uploads. +* `#22060 <https://github.com/numpy/numpy/pull/22060>`__: PERF: Improve import time of numpy +* `#22071 <https://github.com/numpy/numpy/pull/22071>`__: MAINT: fix typo in test_array_object.py +* `#22081 <https://github.com/numpy/numpy/pull/22081>`__: PERF: Remove numpy.compat._pep440 from default imports +* `#22083 <https://github.com/numpy/numpy/pull/22083>`__: BUG: Fix skip condition for test_loss_of_precision[complex256] +* `#22087 <https://github.com/numpy/numpy/pull/22087>`__: ENH: raise TypeError when arange() is called with string dtype +* `#22090 <https://github.com/numpy/numpy/pull/22090>`__: MAINT: Simplify npymath +* `#22096 <https://github.com/numpy/numpy/pull/22096>`__: PERF: Improve intrinsics for tobits and pack on Apple silicon +* `#22099 <https://github.com/numpy/numpy/pull/22099>`__: TST: Remove workaround for gh-9968 from ``test_scalar_methods.test_roundtrip`` +* `#22102 <https://github.com/numpy/numpy/pull/22102>`__: BLD: Try building python3.11 wheels. +* `#22105 <https://github.com/numpy/numpy/pull/22105>`__: TST: fix test_linear_interpolation_formula_symmetric +* `#22110 <https://github.com/numpy/numpy/pull/22110>`__: BUG: Address failures in aarch64 gcc builds due to #22096 +* `#22111 <https://github.com/numpy/numpy/pull/22111>`__: BUG: Missed a case in the diff merge for #22110 +* `#22112 <https://github.com/numpy/numpy/pull/22112>`__: MAINT: remove redundant reversal of eigenvalues order in svd... +* `#22116 <https://github.com/numpy/numpy/pull/22116>`__: MAINT,DOC: Remove sphinx-panels in favor of sphinx-design +* `#22117 <https://github.com/numpy/numpy/pull/22117>`__: DOC: Reorganize user guide outline +* `#22118 <https://github.com/numpy/numpy/pull/22118>`__: DOC: Fix documentation for percentile and quantile +* `#22120 <https://github.com/numpy/numpy/pull/22120>`__: DOC: Explain spawn_key a little more. +* `#22122 <https://github.com/numpy/numpy/pull/22122>`__: DOC: Explain how to use sequences of integers as seeds. +* `#22124 <https://github.com/numpy/numpy/pull/22124>`__: MAINT: support IBM i system +* `#22127 <https://github.com/numpy/numpy/pull/22127>`__: BLD: Add Python 3.11 wheels to aarch64 build +* `#22130 <https://github.com/numpy/numpy/pull/22130>`__: MAINT: Update main after 1.23.2 release. +* `#22132 <https://github.com/numpy/numpy/pull/22132>`__: DOC: Add a release note for bit generator reduce changes +* `#22139 <https://github.com/numpy/numpy/pull/22139>`__: DEP: drop support for msvc<=1900 and Interix +* `#22142 <https://github.com/numpy/numpy/pull/22142>`__: MAINT: Update setup.py for Python 3.11. +* `#22143 <https://github.com/numpy/numpy/pull/22143>`__: MAINT: Update the RELEASE_WALKTHROUGH file. +* `#22144 <https://github.com/numpy/numpy/pull/22144>`__: DOC: Add missing word +* `#22147 <https://github.com/numpy/numpy/pull/22147>`__: DOC: fix linalg.tensorsolve docstring +* `#22149 <https://github.com/numpy/numpy/pull/22149>`__: DOC: Copy-edit the 'partition' docstring. +* `#22150 <https://github.com/numpy/numpy/pull/22150>`__: CI: Test NumPy build against old versions of GCC(6, 7, 8) +* `#22152 <https://github.com/numpy/numpy/pull/22152>`__: BUG: Support using libunwind for backtrack +* `#22154 <https://github.com/numpy/numpy/pull/22154>`__: DOC: add more prominent warnings to pin setuptools +* `#22159 <https://github.com/numpy/numpy/pull/22159>`__: DEP: drop older cygwin compatibility shims +* `#22161 <https://github.com/numpy/numpy/pull/22161>`__: MAINT: simplify complex math function handling in npymath +* `#22163 <https://github.com/numpy/numpy/pull/22163>`__: PERF: Eliminate slow check for pypy during numpy import +* `#22164 <https://github.com/numpy/numpy/pull/22164>`__: ENH: Improve tanh for architectures without efficient gather/scatter... +* `#22168 <https://github.com/numpy/numpy/pull/22168>`__: ENH: Remove AVX related functions from non x86 based builds +* `#22169 <https://github.com/numpy/numpy/pull/22169>`__: MAINT: fix defines for universal2 python builds of NumPy +* `#22171 <https://github.com/numpy/numpy/pull/22171>`__: DOC: Note symmetry requirement in ``multivariate_normal`` error +* `#22179 <https://github.com/numpy/numpy/pull/22179>`__: TST: Implemented an unused test for np.random.randint +* `#22189 <https://github.com/numpy/numpy/pull/22189>`__: MAINT: fix an incorrect pointer type usage in f2py +* `#22193 <https://github.com/numpy/numpy/pull/22193>`__: BUG: change overloads to play nice with pyright. +* `#22194 <https://github.com/numpy/numpy/pull/22194>`__: BUG: Fix circleci build +* `#22199 <https://github.com/numpy/numpy/pull/22199>`__: MAINT: Unpin towncrier +* `#22204 <https://github.com/numpy/numpy/pull/22204>`__: TST,BUG: Use fork context to fix MacOS savez test +* `#22205 <https://github.com/numpy/numpy/pull/22205>`__: DOC: Clarify that ``like`` is not passed to ``function`` +* `#22206 <https://github.com/numpy/numpy/pull/22206>`__: DOC: Fix typo disutils -> distutils in numpy.distutils migration... +* `#22210 <https://github.com/numpy/numpy/pull/22210>`__: DOC: Fix typos in cast warning release note +* `#22212 <https://github.com/numpy/numpy/pull/22212>`__: TYP,BUG: Reduce argument validation in C-based ``__class_getitem__`` +* `#22227 <https://github.com/numpy/numpy/pull/22227>`__: DOC: fix up release note +* `#22228 <https://github.com/numpy/numpy/pull/22228>`__: MAINT: Remove long deprecated functionality from np.ma +* `#22235 <https://github.com/numpy/numpy/pull/22235>`__: Remove incorrect comment about checking generated C files in +* `#22236 <https://github.com/numpy/numpy/pull/22236>`__: BUG: Fix incorrect refcounting in new ``asarray`` path +* `#22239 <https://github.com/numpy/numpy/pull/22239>`__: MAINT: Update main after 1.23.3 release. +* `#22240 <https://github.com/numpy/numpy/pull/22240>`__: ENH: Use SVML for fp32 and fp64 power and arctan2 +* `#22242 <https://github.com/numpy/numpy/pull/22242>`__: BLD: add back stdlib.h include in pcg64.h +* `#22245 <https://github.com/numpy/numpy/pull/22245>`__: MAINT: random: remove ``get_info`` from "extending with Cython"... +* `#22251 <https://github.com/numpy/numpy/pull/22251>`__: TST: Move new ``asarray`` test to a more appropriate place. +* `#22253 <https://github.com/numpy/numpy/pull/22253>`__: DOC: Update concatenate exception message. +* `#22254 <https://github.com/numpy/numpy/pull/22254>`__: DOC: Improve ``converters`` parameter description for loadtxt +* `#22256 <https://github.com/numpy/numpy/pull/22256>`__: DOC: Add C API example for NPY_ITER_MULTI_INDEX +* `#22259 <https://github.com/numpy/numpy/pull/22259>`__: DOC: Better report integer division overflow (#21506) +* `#22261 <https://github.com/numpy/numpy/pull/22261>`__: NEP: Make NEP 51 to propose changing the scalar representation +* `#22263 <https://github.com/numpy/numpy/pull/22263>`__: DOC: Clarified how finfo works with complex numbers (#22260) +* `#22272 <https://github.com/numpy/numpy/pull/22272>`__: MAINT, Haiku defines neither __STDC_NO_THREADS__ nor __GLIBC__ +* `#22276 <https://github.com/numpy/numpy/pull/22276>`__: DOC: Update for return value of np.ptp() +* `#22279 <https://github.com/numpy/numpy/pull/22279>`__: DOC: Add example to msort docstring +* `#22280 <https://github.com/numpy/numpy/pull/22280>`__: DOC: updated the description for array-like type in histogramdd... +* `#22282 <https://github.com/numpy/numpy/pull/22282>`__: DOC: Add example for find +* `#22285 <https://github.com/numpy/numpy/pull/22285>`__: DOC: Add ``isupper`` examples +* `#22291 <https://github.com/numpy/numpy/pull/22291>`__: DOC: Add examples for isdigit and str_len +* `#22292 <https://github.com/numpy/numpy/pull/22292>`__: DOC: Add copyto example +* `#22294 <https://github.com/numpy/numpy/pull/22294>`__: DOC: add examples to np.char.multiply +* `#22295 <https://github.com/numpy/numpy/pull/22295>`__: DOC: Added an example for isupper() function +* `#22296 <https://github.com/numpy/numpy/pull/22296>`__: BUG: Memory leaks in numpy.nested_iters +* `#22297 <https://github.com/numpy/numpy/pull/22297>`__: DOC: Add example to np.prod +* `#22298 <https://github.com/numpy/numpy/pull/22298>`__: DOC: add example for ma.unique function +* `#22299 <https://github.com/numpy/numpy/pull/22299>`__: DOC: Add examples for join and index +* `#22300 <https://github.com/numpy/numpy/pull/22300>`__: DOC: examples for ``np.char.isdecimal`` and ``np.char.isnumeric`` +* `#22302 <https://github.com/numpy/numpy/pull/22302>`__: DOC: Change in the documentation for chebpts2 method +* `#22304 <https://github.com/numpy/numpy/pull/22304>`__: DOC: default_rng cleanup +* `#22306 <https://github.com/numpy/numpy/pull/22306>`__: ENH: Implement essential intrinsics required by the upcoming... +* `#22308 <https://github.com/numpy/numpy/pull/22308>`__: DOC: add examples to numpy.char.replace +* `#22309 <https://github.com/numpy/numpy/pull/22309>`__: DOC: Correct usage example for np.char.decode docstring +* `#22312 <https://github.com/numpy/numpy/pull/22312>`__: MAINT: Shorten test output on travis builds +* `#22313 <https://github.com/numpy/numpy/pull/22313>`__: DEP: Deprecate fastCopyAndTranspose +* `#22314 <https://github.com/numpy/numpy/pull/22314>`__: MAINT: Shorten wheel test output on travis builds +* `#22316 <https://github.com/numpy/numpy/pull/22316>`__: ENH: Allow creating structured void scalars by passing dtype +* `#22319 <https://github.com/numpy/numpy/pull/22319>`__: TST: add functional tests for kron +* `#22321 <https://github.com/numpy/numpy/pull/22321>`__: MAINT: core: Fix a typo in a datetime error message. +* `#22324 <https://github.com/numpy/numpy/pull/22324>`__: MAINT: update function's __module__ attribute in deprecate +* `#22325 <https://github.com/numpy/numpy/pull/22325>`__: SIMD: Improve the performance of NEON vector initializer +* `#22326 <https://github.com/numpy/numpy/pull/22326>`__: CI, SIMD: Test and build without the support of AVX2 and AVX512 +* `#22327 <https://github.com/numpy/numpy/pull/22327>`__: BUG: Fix complex vector dot with more than NPY_CBLAS_CHUNK elements +* `#22331 <https://github.com/numpy/numpy/pull/22331>`__: DOC: Adding examples to ``ma.max`` function +* `#22332 <https://github.com/numpy/numpy/pull/22332>`__: DOC: Minor typo in docs +* `#22334 <https://github.com/numpy/numpy/pull/22334>`__: DOC: Added missing dtype attribute to ``iinfo`` and ``finfo`` docstring +* `#22336 <https://github.com/numpy/numpy/pull/22336>`__: MAINT: Rm numpydoc remnant example docstring. +* `#22342 <https://github.com/numpy/numpy/pull/22342>`__: MAINT: update sde toolkit to 9.0, fix download link +* `#22343 <https://github.com/numpy/numpy/pull/22343>`__: DOC: fixed two more typos in docstrings +* `#22344 <https://github.com/numpy/numpy/pull/22344>`__: DOC: fixed minor typo in percentile docstring +* `#22354 <https://github.com/numpy/numpy/pull/22354>`__: MAINT: switch sponsor link from numfocus to opencollective +* `#22356 <https://github.com/numpy/numpy/pull/22356>`__: REV: Loosen ``lookfor``'s import try/except again +* `#22357 <https://github.com/numpy/numpy/pull/22357>`__: TYP,ENH: Mark ``numpy.typing`` protocols as runtime checkable +* `#22358 <https://github.com/numpy/numpy/pull/22358>`__: ENH,TYP: Add special casing for ``ndarray``-based indexing +* `#22359 <https://github.com/numpy/numpy/pull/22359>`__: TYP,MAINT: Change more overloads to play nice with pyright +* `#22360 <https://github.com/numpy/numpy/pull/22360>`__: TST,TYP: Bump mypy to 0.981 +* `#22362 <https://github.com/numpy/numpy/pull/22362>`__: DOC: Updated amin/amax output dimensions for tuple axis +* `#22363 <https://github.com/numpy/numpy/pull/22363>`__: DOC: Added examples to ``maa.min`` function +* `#22365 <https://github.com/numpy/numpy/pull/22365>`__: BUG: Add ``__array_api_version__`` to ``numpy.array_api`` namespace +* `#22367 <https://github.com/numpy/numpy/pull/22367>`__: BUILD: add permissions to github actions +* `#22371 <https://github.com/numpy/numpy/pull/22371>`__: MAINT: remove permission restrictions for PR labeler [skip ci] +* `#22372 <https://github.com/numpy/numpy/pull/22372>`__: DOC: Update delimiter param description. +* `#22373 <https://github.com/numpy/numpy/pull/22373>`__: DOC, MAINT: Remove unused files +* `#22374 <https://github.com/numpy/numpy/pull/22374>`__: DOC: typo additional colon in beginners tutorial +* `#22375 <https://github.com/numpy/numpy/pull/22375>`__: DOC: How to partition domains +* `#22379 <https://github.com/numpy/numpy/pull/22379>`__: ENH: allow explicit ``like=None`` in all array creation functions +* `#22385 <https://github.com/numpy/numpy/pull/22385>`__: DEP: Deprecate conversion of out-of-bound Python integers +* `#22393 <https://github.com/numpy/numpy/pull/22393>`__: MAINT: Ensure graceful handling of large header sizes +* `#22398 <https://github.com/numpy/numpy/pull/22398>`__: DOC: Update broken link to diataxis framework. +* `#22399 <https://github.com/numpy/numpy/pull/22399>`__: MAINT: Fix typos found by codespell +* `#22401 <https://github.com/numpy/numpy/pull/22401>`__: MAINT: fix obsolete code comment +* `#22404 <https://github.com/numpy/numpy/pull/22404>`__: DOC: added ``ma.round`` and ``ma.round_`` examples +* `#22406 <https://github.com/numpy/numpy/pull/22406>`__: DOC: Add changelog for ``masked_invalid`` change. +* `#22407 <https://github.com/numpy/numpy/pull/22407>`__: DOC: Fix title level for release note improvements +* `#22409 <https://github.com/numpy/numpy/pull/22409>`__: DOC: Adopt a harmonic color scheme with the dark mode of pydata-sphinx-theme +* `#22411 <https://github.com/numpy/numpy/pull/22411>`__: DOC: Remove documentation specific to Python 2 +* `#22418 <https://github.com/numpy/numpy/pull/22418>`__: TST, BLD: Fix failing aarch64 wheel builds. +* `#22419 <https://github.com/numpy/numpy/pull/22419>`__: MAINT: Remove PyCObject from the SWIG interface +* `#22421 <https://github.com/numpy/numpy/pull/22421>`__: DOC: Replace CObject with Capsule consistently +* `#22422 <https://github.com/numpy/numpy/pull/22422>`__: ENH: Expose ``ufunc.resolve_dtypes`` and strided loop access +* `#22430 <https://github.com/numpy/numpy/pull/22430>`__: MAINT: Update main after 1.23.4 release. +* `#22432 <https://github.com/numpy/numpy/pull/22432>`__: MAINT: always use sys.base_prefix, never use sys.real_prefix +* `#22433 <https://github.com/numpy/numpy/pull/22433>`__: DOC: remove reference to Python 2 +* `#22436 <https://github.com/numpy/numpy/pull/22436>`__: DOC: Clarify docstring of ``masked_equal`` and ``masked_values`` +* `#22438 <https://github.com/numpy/numpy/pull/22438>`__: MAINT: Update versioneer 0.19 → 0.26 +* `#22440 <https://github.com/numpy/numpy/pull/22440>`__: MAINT: fix typo in f2c_lapack.c +* `#22441 <https://github.com/numpy/numpy/pull/22441>`__: MAINT,DOC: Revert "MAINT: fix typo in f2c_lapack.c" +* `#22442 <https://github.com/numpy/numpy/pull/22442>`__: ENH: unstructured_to_structured converts dtype argument +* `#22447 <https://github.com/numpy/numpy/pull/22447>`__: TYP: Spelling alignment for array flag literal +* `#22450 <https://github.com/numpy/numpy/pull/22450>`__: BUG: Fix bounds checking for random.logseries +* `#22452 <https://github.com/numpy/numpy/pull/22452>`__: DEV: Update GH actions and Dockerfile for Gitpod +* `#22453 <https://github.com/numpy/numpy/pull/22453>`__: DOC: Update NEP 50 text since integer conversion errors now exist. +* `#22456 <https://github.com/numpy/numpy/pull/22456>`__: DEP: Proposal to deprecate the ``msort`` convenience function +* `#22458 <https://github.com/numpy/numpy/pull/22458>`__: ENH: Allow all allocated operands in nditer/NpyIter +* `#22462 <https://github.com/numpy/numpy/pull/22462>`__: MAINT: refactor mandatory npymath functions to #define macros +* `#22463 <https://github.com/numpy/numpy/pull/22463>`__: DOC: remove mention of ``ipython -p numpy``. +* `#22466 <https://github.com/numpy/numpy/pull/22466>`__: MAINT: Ensure that fmin loops do not show up multiple times +* `#22475 <https://github.com/numpy/numpy/pull/22475>`__: MAINT: remove code specific to Python 2 +* `#22478 <https://github.com/numpy/numpy/pull/22478>`__: BUG: -unsigned_int(0) no overflow warning +* `#22479 <https://github.com/numpy/numpy/pull/22479>`__: MAINT: remove u-prefix for former Unicode strings +* `#22480 <https://github.com/numpy/numpy/pull/22480>`__: DOC: fix typo in advanced_debugging.rst [skip ci] +* `#22481 <https://github.com/numpy/numpy/pull/22481>`__: GitHub Workflows security hardening +* `#22482 <https://github.com/numpy/numpy/pull/22482>`__: ENH: Add OpenSSF Scorecard GitHub Action +* `#22483 <https://github.com/numpy/numpy/pull/22483>`__: MAINT: change subprocess arguments from Python>=3.7 +* `#22485 <https://github.com/numpy/numpy/pull/22485>`__: TST: Make test_partial_iteration_cleanup robust but require leak... +* `#22487 <https://github.com/numpy/numpy/pull/22487>`__: TST, MAINT: Replace most setup with setup_method (also teardown) +* `#22488 <https://github.com/numpy/numpy/pull/22488>`__: MAINT, CI: Switch to cygwin/cygwin-install-action@v2 +* `#22491 <https://github.com/numpy/numpy/pull/22491>`__: CI: Make cygwin build run for branches. +* `#22496 <https://github.com/numpy/numpy/pull/22496>`__: MAINT: Use SPDX license expression in project metadata +* `#22498 <https://github.com/numpy/numpy/pull/22498>`__: REL: readme in PyPI plus test +* `#22500 <https://github.com/numpy/numpy/pull/22500>`__: DOC: added example in char +* `#22503 <https://github.com/numpy/numpy/pull/22503>`__: CI: Only fetch in actions/checkout +* `#22504 <https://github.com/numpy/numpy/pull/22504>`__: DOC: Add code-formatting on install instructions +* `#22505 <https://github.com/numpy/numpy/pull/22505>`__: DOC: fixed minor typo in f2py docs +* `#22510 <https://github.com/numpy/numpy/pull/22510>`__: MAINT: Ensure raw dlpack deleter works when called without the... +* `#22519 <https://github.com/numpy/numpy/pull/22519>`__: DOC: fixed pad_width description in numpy.pad +* `#22521 <https://github.com/numpy/numpy/pull/22521>`__: DOC: Remove "current" from byte-order note and expand it slightly +* `#22524 <https://github.com/numpy/numpy/pull/22524>`__: MAINT, BLD: Wheel CI: Update cibuildwheel to 2.11.2 +* `#22525 <https://github.com/numpy/numpy/pull/22525>`__: BLD: update OpenBLAS to 0.3.21 and clean up openblas download... +* `#22531 <https://github.com/numpy/numpy/pull/22531>`__: BLD, CI: Update setup-python +* `#22538 <https://github.com/numpy/numpy/pull/22538>`__: DOC: update libnpymath docs on its status and how to consume... +* `#22540 <https://github.com/numpy/numpy/pull/22540>`__: DEP: Expire deprecation of dtype/signature allowing instances +* `#22541 <https://github.com/numpy/numpy/pull/22541>`__: DEP: Expire deprecation to ignore bad dtype= in logical ufuncs +* `#22542 <https://github.com/numpy/numpy/pull/22542>`__: API: Always use BufferError when dlpack export fails +* `#22543 <https://github.com/numpy/numpy/pull/22543>`__: DOC: Add instruction to initialize git submodules +* `#22548 <https://github.com/numpy/numpy/pull/22548>`__: MAINT: Fix designator order not matching declaration order +* `#22550 <https://github.com/numpy/numpy/pull/22550>`__: MAINT: Fix Fortran order flag use (using bool rather than enum) +* `#22552 <https://github.com/numpy/numpy/pull/22552>`__: MAINT: Do not use temporary struct construct +* `#22554 <https://github.com/numpy/numpy/pull/22554>`__: MAINT: Match arguments of constant in ``isless()`` +* `#22557 <https://github.com/numpy/numpy/pull/22557>`__: BUG: Decrement ref count in gentype_reduce if allocated memory... +* `#22561 <https://github.com/numpy/numpy/pull/22561>`__: BUG: Histogramdd breaks on big arrays in Windows +* `#22566 <https://github.com/numpy/numpy/pull/22566>`__: BUG: Fix use and errorchecking of ObjectType use +* `#22567 <https://github.com/numpy/numpy/pull/22567>`__: CI: Add PR write permissions to artifact redirector. +* `#22571 <https://github.com/numpy/numpy/pull/22571>`__: DOC: Mention numpy types in ``isnat`` error message +* `#22576 <https://github.com/numpy/numpy/pull/22576>`__: BUG: fix issue with broken assert statement in ``templ_common.h.src`` +* `#22578 <https://github.com/numpy/numpy/pull/22578>`__: BLD: fix issue with header includes in dlpack.c +* `#22579 <https://github.com/numpy/numpy/pull/22579>`__: MAINT: remove ``NPY_RESTRICT`` in favor of C99 ``restrict`` +* `#22580 <https://github.com/numpy/numpy/pull/22580>`__: BLD: remove unused ``ncola`` variables from lapack-lite +* `#22583 <https://github.com/numpy/numpy/pull/22583>`__: MAINT: Patch to remove ncola variable from f2c_blas.c +* `#22586 <https://github.com/numpy/numpy/pull/22586>`__: MAINT: Rm meaningless checks in determining typeless data +* `#22587 <https://github.com/numpy/numpy/pull/22587>`__: TYP: Update type annotations for new 1.24 features +* `#22588 <https://github.com/numpy/numpy/pull/22588>`__: DOC: Clarify relationship between row_stack and vstack. +* `#22589 <https://github.com/numpy/numpy/pull/22589>`__: DOC: expand docs on debugging with gdb +* `#22598 <https://github.com/numpy/numpy/pull/22598>`__: MAINT, CI: Update Ubuntu 18.04 to Ubuntu 20.04 +* `#22601 <https://github.com/numpy/numpy/pull/22601>`__: MAINT: Use C99 flexible struct construct for ``NpyIter_InternalOnly`` +* `#22605 <https://github.com/numpy/numpy/pull/22605>`__: MAINT: (array-coercion) Silence invalid read warning in some... +* `#22607 <https://github.com/numpy/numpy/pull/22607>`__: DEP: Next step in scalar type alias deprecations/futurewarnings +* `#22608 <https://github.com/numpy/numpy/pull/22608>`__: MAINT, CI: Enable coverage checking. +* `#22612 <https://github.com/numpy/numpy/pull/22612>`__: BLD: update wheel builds on macos to macos-12 image +* `#22614 <https://github.com/numpy/numpy/pull/22614>`__: MAINT: remove macOS specific long double handling in numpyconfig.h +* `#22615 <https://github.com/numpy/numpy/pull/22615>`__: DOC: Rm ``round_`` from the autosummary for rounding +* `#22616 <https://github.com/numpy/numpy/pull/22616>`__: TST: Rename setup to setup_method in _locales +* `#22620 <https://github.com/numpy/numpy/pull/22620>`__: DOC: testing: Fix typo: nulps -> nulp +* `#22628 <https://github.com/numpy/numpy/pull/22628>`__: DOC: Add example for np.ma.power +* `#22629 <https://github.com/numpy/numpy/pull/22629>`__: MAINT: Update main after 1.23.5 release. +* `#22630 <https://github.com/numpy/numpy/pull/22630>`__: BLD: Use cibuildwheel 2.9.0 for Python 3.8 aarch64 builds +* `#22634 <https://github.com/numpy/numpy/pull/22634>`__: CI: Increase travis timeout to 20 minutes. +* `#22636 <https://github.com/numpy/numpy/pull/22636>`__: CI: Increase travis timeout to 30 minutes (2). +* `#22639 <https://github.com/numpy/numpy/pull/22639>`__: DOC: Remove traces of interrupt handling utilities diff --git a/doc/release/upcoming_changes/12065.performance.rst b/doc/release/upcoming_changes/12065.performance.rst deleted file mode 100644 index 08d1263b9..000000000 --- a/doc/release/upcoming_changes/12065.performance.rst +++ /dev/null @@ -1,6 +0,0 @@ -Faster version of ``np.isin`` and ``np.in1d`` for integer arrays ----------------------------------------------------------------- -``np.in1d`` (used by ``np.isin``) can now switch to a faster algorithm -(up to >10x faster) when it is passed two integer arrays. -This is often automatically used, but you can use ``kind="sort"`` or -``kind="table"`` to force the old or new method, respectively.
\ No newline at end of file diff --git a/doc/release/upcoming_changes/16154.new_feature.rst b/doc/release/upcoming_changes/16154.new_feature.rst deleted file mode 100644 index 99d4b1b04..000000000 --- a/doc/release/upcoming_changes/16154.new_feature.rst +++ /dev/null @@ -1,25 +0,0 @@ -New attribute ``symbol`` added to polynomial classes ----------------------------------------------------- - -The polynomial classes in the ``numpy.polynomial`` package have a new -``symbol`` attribute which is used to represent the indeterminate -of the polynomial. -This can be used to change the value of the variable when printing:: - - >>> P_y = np.polynomial.Polynomial([1, 0, -1], symbol="y") - >>> print(P_y) - 1.0 + 0.0·y¹ - 1.0·y² - -Note that the polynomial classes only support 1D polynomials, so operations -that involve polynomials with different symbols are disallowed when the -result would be multivariate:: - - >>> P = np.polynomial.Polynomial([1, -1]) # default symbol is "x" - >>> P_z = np.polynomial.Polynomial([1, 1], symbol="z") - >>> P * P_z - Traceback (most recent call last) - ... - ValueError: Polynomial symbols differ - -The symbol can be any valid Python identifier. The default is ``symbol=x``, -consistent with existing behavior. diff --git a/doc/release/upcoming_changes/19388.improvement.rst b/doc/release/upcoming_changes/19388.improvement.rst deleted file mode 100644 index c899f9019..000000000 --- a/doc/release/upcoming_changes/19388.improvement.rst +++ /dev/null @@ -1,10 +0,0 @@ -F2PY Improvements ------------------ - -* The generated extension modules don't use the deprecated NumPy-C API anymore -* Improved ``f2py`` generated exception messages -* Numerous bug and ``flake8`` warning fixes -* various CPP macros that one can use within C-expressions of signature files are prefixed with ``f2py_``. For example, one should use ``f2py_len(x)`` instead of ``len(x)`` -* A new construct ``character(f2py_len=...)`` is introduced to support returning assumed length character strings (e.g. ``character(len=*)``) from wrapper functions - -A hook to support rewriting ``f2py`` internal data structures after reading all its input files is introduced. This is required, for instance, for BC of SciPy support where character arguments are treated as character strings arguments in ``C`` expressions. diff --git a/doc/release/upcoming_changes/19388.new_feature.rst b/doc/release/upcoming_changes/19388.new_feature.rst deleted file mode 100644 index bffe5753b..000000000 --- a/doc/release/upcoming_changes/19388.new_feature.rst +++ /dev/null @@ -1,10 +0,0 @@ -F2PY support for Fortran ``character`` strings ----------------------------------------------- -F2PY now supports wrapping Fortran functions with: - -* character (e.g. ``character x``) -* character array (e.g. ``character, dimension(n) :: x``) -* character string (e.g. ``character(len=10) x``) -* and character string array (e.g. ``character(len=10), dimension(n, m) :: x``) - -arguments, including passing Python unicode strings as Fortran character string arguments. diff --git a/doc/release/upcoming_changes/20913.improvement.rst b/doc/release/upcoming_changes/20913.improvement.rst deleted file mode 100755 index 335f44831..000000000 --- a/doc/release/upcoming_changes/20913.improvement.rst +++ /dev/null @@ -1,12 +0,0 @@ -IBM zSystems Vector Extension Facility (SIMD) ---------------------------------------------- - -Added support for SIMD extensions of zSystem (z13, z14, z15), -through the universal intrinsics interface. This support leads -to performance improvements for all SIMD kernels implemented -using the universal intrinsics, including the following operations: - -rint, floor, trunc, ceil, sqrt, absolute, square, reciprocal, tanh, sin, cos, -equal, not_equal, greater, greater_equal, less, less_equal, -maximum, minimum, fmax, fmin, argmax, argmin, -add, subtract, multiply, divide. diff --git a/doc/release/upcoming_changes/20924.compatibility.rst b/doc/release/upcoming_changes/20924.compatibility.rst deleted file mode 100644 index 02f3e9fdb..000000000 --- a/doc/release/upcoming_changes/20924.compatibility.rst +++ /dev/null @@ -1,13 +0,0 @@ -``array.fill(scalar)`` may behave slightly different ----------------------------------------------------- -`~numpy.ndarray.fill` may in some cases behave slightly different -now due to the fact that the logic is aligned with item assignment:: - - arr = np.array([1]) # with any dtype/value - arr.fill(scalar) - # is now identical to: - arr[0] = scalar - -Previously casting may have produced slightly different answers when using -values that could not be represented in the target ``dtype`` or when the -target had ``object`` dtype. diff --git a/doc/release/upcoming_changes/21437.improvement.rst b/doc/release/upcoming_changes/21437.improvement.rst deleted file mode 100644 index 291483b5f..000000000 --- a/doc/release/upcoming_changes/21437.improvement.rst +++ /dev/null @@ -1,33 +0,0 @@ -NumPy now gives floating point errors in casts ----------------------------------------------- - -In most cases, NumPy previously did not give floating point -warnings or errors when these happened during casts. -For examples, casts like:: - - np.array([2e300]).astype(np.float32) # overflow for float32 - np.array([np.inf]).astype(np.int64) - -Should now generally give floating point warnings. These warnings -should warn that floating point overflow occurred. -For errors when converting floating point values to integers users -should expect invalid value warnings. - -Users can modify the behavior of these warnings using `np.errstate`. - -Note that for float to int casts, the exact warnings that are given may -be platform dependent. For example:: - - arr = np.full(100, value=1000, dtype=np.float64) - arr.astype(np.int8) - -May give a result equivalent to (the intermediate cast means no warning is given):: - - arr.astype(np.int64).astype(np.int8) - -May return an undefined result, with a warning set:: - - RuntimeWarning: invalid value encountered in cast - -The precise behavior is subject to the C99 standard and its implementation -in both software and hardware. diff --git a/doc/release/upcoming_changes/21468.new_feature.rst b/doc/release/upcoming_changes/21468.new_feature.rst deleted file mode 100644 index c37f05735..000000000 --- a/doc/release/upcoming_changes/21468.new_feature.rst +++ /dev/null @@ -1,6 +0,0 @@ -New function ``np.show_runtime`` --------------------------------- - -A new function `numpy.show_runtime` has been added to display the runtime -information of the machine in addition to `numpy.show_config` which displays -the build-related information. diff --git a/doc/release/upcoming_changes/21483.performance.rst b/doc/release/upcoming_changes/21483.performance.rst deleted file mode 100644 index f9456d69f..000000000 --- a/doc/release/upcoming_changes/21483.performance.rst +++ /dev/null @@ -1,7 +0,0 @@ -Faster comparison operators ----------------------------- -The comparison functions (``numpy.equal``, ``numpy.not_equal``, ``numpy.less``, -``numpy.less_equal``, ``numpy.greater`` and ``numpy.greater_equal``) are now -much faster as they are now vectorized with universal intrinsics. For a CPU -with SIMD extension AVX512BW, the performance gain is up to 2.57x, 1.65x and -19.15x for integer, float and boolean data types, respectively (with N=50000). diff --git a/doc/release/upcoming_changes/21506.change.rst b/doc/release/upcoming_changes/21506.change.rst deleted file mode 100644 index 18bc6cbc2..000000000 --- a/doc/release/upcoming_changes/21506.change.rst +++ /dev/null @@ -1,18 +0,0 @@ -Better reporting of integer division overflow ---------------------------------------------- - -Integer division overflow of scalars and arrays used to provide a ``RuntimeWarning`` -and the return value was undefined leading to crashes at rare occasions:: - - >>> np.array([np.iinfo(np.int32).min]*10, dtype=np.int32) // np.int32(-1) - <stdin>:1: RuntimeWarning: divide by zero encountered in floor_divide - array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32) - -Integer division overflow now returns the input dtype's minimum value and raise the -following ``RuntimeWarning``:: - - >>> np.array([np.iinfo(np.int32).min]*10, dtype=np.int32) // np.int32(-1) - <stdin>:1: RuntimeWarning: overflow encountered in floor_divide - array([-2147483648, -2147483648, -2147483648, -2147483648, -2147483648, - -2147483648, -2147483648, -2147483648, -2147483648, -2147483648], - dtype=int32) diff --git a/doc/release/upcoming_changes/21595.new_feature.rst b/doc/release/upcoming_changes/21595.new_feature.rst deleted file mode 100644 index 21b2a746f..000000000 --- a/doc/release/upcoming_changes/21595.new_feature.rst +++ /dev/null @@ -1,5 +0,0 @@ -``strict`` option for `testing.assert_array_equal` --------------------------------------------------- -The ``strict`` option is now available for `testing.assert_array_equal`. -Setting ``strict=True`` will disable the broadcasting behaviour for scalars and -ensure that input arrays have the same data type. diff --git a/doc/release/upcoming_changes/21623.new_feature.rst b/doc/release/upcoming_changes/21623.new_feature.rst deleted file mode 100644 index d783ef5a9..000000000 --- a/doc/release/upcoming_changes/21623.new_feature.rst +++ /dev/null @@ -1,6 +0,0 @@ -New parameter ``equal_nan`` added to `np.unique` ------------------------------------------------- - -`np.unique` was changed in 1.21 to treat all ``NaN`` values as equal and return -a single ``NaN``. Setting ``equal_nan=False`` will restore pre-1.21 behavior -to treat ``NaNs`` as unique. Defaults to ``True``. diff --git a/doc/release/upcoming_changes/21627.new_feature.rst b/doc/release/upcoming_changes/21627.new_feature.rst deleted file mode 100644 index f516ac96d..000000000 --- a/doc/release/upcoming_changes/21627.new_feature.rst +++ /dev/null @@ -1,16 +0,0 @@ -``casting`` and ``dtype`` keyword arguments for `numpy.stack` -------------------------------------------------------------- -The ``casting`` and ``dtype`` keyword arguments are now available for `numpy.stack`. -To use them, write ``np.stack(..., dtype=None, casting='same_kind')``. - - -``casting`` and ``dtype`` keyword arguments for `numpy.vstack` --------------------------------------------------------------- -The ``casting`` and ``dtype`` keyword arguments are now available for `numpy.vstack`. -To use them, write ``np.vstack(..., dtype=None, casting='same_kind')``. - - -``casting`` and ``dtype`` keyword arguments for `numpy.hstack` --------------------------------------------------------------- -The ``casting`` and ``dtype`` keyword arguments are now available for `numpy.hstack`. -To use them, write ``np.hstack(..., dtype=None, casting='same_kind')``.
\ No newline at end of file diff --git a/doc/release/upcoming_changes/21645.expired.rst b/doc/release/upcoming_changes/21645.expired.rst deleted file mode 100644 index 4c9933244..000000000 --- a/doc/release/upcoming_changes/21645.expired.rst +++ /dev/null @@ -1,4 +0,0 @@ -* The ``normed`` keyword argument has been removed from - `np.histogram`, `np.histogram2d`, and `np.histogramdd`. - Use ``density`` instead. If ``normed`` was passed by - position, ``density`` is now used. diff --git a/doc/release/upcoming_changes/21807.improvement.rst b/doc/release/upcoming_changes/21807.improvement.rst deleted file mode 100644 index bfad55fb7..000000000 --- a/doc/release/upcoming_changes/21807.improvement.rst +++ /dev/null @@ -1,7 +0,0 @@ -F2PY supports the value attribute ---------------------------------- - -The Fortran standard requires that variables declared with the ``value`` -attribute must be passed by value instead of reference. F2PY now supports this -use pattern correctly. So ``integer, intent(in), value :: x`` in Fortran codes -will have correct wrappers generated. diff --git a/doc/release/upcoming_changes/21925.compatibility.rst b/doc/release/upcoming_changes/21925.compatibility.rst deleted file mode 100644 index af9c47127..000000000 --- a/doc/release/upcoming_changes/21925.compatibility.rst +++ /dev/null @@ -1,12 +0,0 @@ -Subarray to object cast now copies ----------------------------------- -Casting a dtype that includes a subarray to an object will now ensure -a copy of the subarray. Previously an unsafe view was returned:: - - arr = np.ones(3, dtype=[("f", "i", 3)]) - subarray_fields = arr.astype(object)[0] - subarray = subarray_fields[0] # "f" field - - np.may_share_memory(subarray, arr) - -Is now always false. While previously it was true for the specific cast. diff --git a/doc/release/upcoming_changes/21976.new_feature.rst b/doc/release/upcoming_changes/21976.new_feature.rst deleted file mode 100644 index 387f093dd..000000000 --- a/doc/release/upcoming_changes/21976.new_feature.rst +++ /dev/null @@ -1,33 +0,0 @@ -The bit generator underlying the singleton RandomState can be changed ---------------------------------------------------------------------- -The singleton ``RandomState`` instance exposed in the ``numpy.random`` module -is initialized at startup with the ``MT19937` bit generator. The new -function ``set_bit_generator`` allows the default bit generator to be -replaced with a user-provided bit generator. This function has been introduced -to provide a method allowing seamless integration of a high-quality, modern bit -generator in new code with existing code that makes use of the -singleton-provided random variate generating functions. The companion function -``get_bit_generator`` returns the current bit generator being used by the -singleton ``RandomState``. This is provided to simplify restoring -the original source of randomness if required. - -The preferred method to generate reproducible random numbers is to use a modern -bit generator in an instance of ``Generator``. The function ``default_rng`` -simplifies instantization. - - >>> rg = np.random.default_rng(3728973198) - >>> rg.random() - -The same bit generator can then be shared with the singleton instance so that -calling functions in the ``random`` module will use the same bit -generator. - - >>> orig_bit_gen = np.random.get_bit_generator() - >>> np.random.set_bit_generator(rg.bit_generator) - >>> np.random.normal() - -The swap is permanent (until reversed) and so any call to functions -in the ``random`` module will use the new bit generator. The original -can be restored if required for code to run correctly. - - >>> np.random.set_bit_generator(orig_bit_gen) diff --git a/doc/release/upcoming_changes/21995.compatibility.rst b/doc/release/upcoming_changes/21995.compatibility.rst deleted file mode 100644 index 0ae5e3626..000000000 --- a/doc/release/upcoming_changes/21995.compatibility.rst +++ /dev/null @@ -1,21 +0,0 @@ -Returned arrays respect uniqueness of dtype kwarg objects ---------------------------------------------------------- -When the ``dtype`` keyword argument is used with :py:func:`np.array()` -or :py:func:`asarray()`, the dtype of the returned array now -always exactly matches the dtype provided by the caller. - -In some cases this change means that a *view* rather than the -input array is returned. -The following is an example for this on 64bit Linux where ``long`` -and ``longlong`` are the same precision but different ``dtypes``:: - - >>> arr = np.array([1, 2, 3], dtype="long") - >>> new_dtype = np.dtype("longlong") - >>> new = np.asarray(arr, dtype=new_dtype) - >>> new.dtype is new_dtype - True - >>> new is arr - False - -Before the change, the ``dtype`` did not match because ``new is arr`` -was ``True``. diff --git a/doc/release/upcoming_changes/22004.expired.rst b/doc/release/upcoming_changes/22004.expired.rst deleted file mode 100644 index e07dffa84..000000000 --- a/doc/release/upcoming_changes/22004.expired.rst +++ /dev/null @@ -1,2 +0,0 @@ -* Ragged array creation will now always raise a ``ValueError`` unless - ``dtype=object`` is passed. This includes very deeply nested sequences. diff --git a/doc/release/upcoming_changes/22014.improvement.rst b/doc/release/upcoming_changes/22014.improvement.rst deleted file mode 100644 index b32590c85..000000000 --- a/doc/release/upcoming_changes/22014.improvement.rst +++ /dev/null @@ -1,10 +0,0 @@ -Added pickle support for third-party BitGenerators --------------------------------------------------- - -The pickle format for bit generators was extended to allow each bit generator -to supply its own constructor when during pickling. Previous versions of NumPy -only supported unpickling ``Generator`` instances created with one of the core set -of bit generators supplied with NumPy. Attempting to unpickle a ``Generator`` -that used a third-party bit generators would fail since the constructor used during -the unpickling was only aware of the bit generators included in NumPy. - diff --git a/doc/release/upcoming_changes/22046.change.rst b/doc/release/upcoming_changes/22046.change.rst deleted file mode 100644 index 13a15f9e1..000000000 --- a/doc/release/upcoming_changes/22046.change.rst +++ /dev/null @@ -1,7 +0,0 @@ -``masked_invalid`` now modifies the mask in-place ------------------------------------------------------------------ - -When used with ``copy=False``, `numpy.ma.masked_invalid` now modifies the -input masked array in-place. -This makes it now behave identical to ``masked_where`` and better matches the -documentation. diff --git a/doc/release/upcoming_changes/22055.improvement.rst b/doc/release/upcoming_changes/22055.improvement.rst deleted file mode 100644 index cf279d138..000000000 --- a/doc/release/upcoming_changes/22055.improvement.rst +++ /dev/null @@ -1,12 +0,0 @@ -arange() now explicitly fails with dtype=str ---------------------------------------------- -Previously, the ``np.arange(n, dtype=str)`` function worked for ``n=1`` and -``n=2``, but would raise a non-specific exception message for other values of -n. -Now, it raises a `TypeError` informing that ``arange`` does not support -string dtypes:: - - >>> np.arange(2, dtype=str) - Traceback (most recent call last) - ... - TypeError: arange() not supported for inputs with DType <class 'numpy.dtype[str_]'>. diff --git a/doc/release/upcoming_changes/22139.expired.rst b/doc/release/upcoming_changes/22139.expired.rst deleted file mode 100644 index baf19a0b2..000000000 --- a/doc/release/upcoming_changes/22139.expired.rst +++ /dev/null @@ -1,4 +0,0 @@ -* Support for Visual Studio 2015 and earlier has been removed. - -* Support for the Windows Interix POSIX interop layer has been removed. - diff --git a/doc/release/upcoming_changes/22159.expired.rst b/doc/release/upcoming_changes/22159.expired.rst deleted file mode 100644 index bb8405718..000000000 --- a/doc/release/upcoming_changes/22159.expired.rst +++ /dev/null @@ -1 +0,0 @@ -* Support for cygwin < 3.3 has been removed. diff --git a/doc/release/upcoming_changes/22228.expired.rst b/doc/release/upcoming_changes/22228.expired.rst deleted file mode 100644 index 220ae2a7b..000000000 --- a/doc/release/upcoming_changes/22228.expired.rst +++ /dev/null @@ -1,5 +0,0 @@ -* The mini() method of ``np.ma.MaskedArray`` has been removed. Use either - ``np.ma.MaskedArray.min()`` or ``np.ma.minimum.reduce()``. - -* The single-argument form of ``np.ma.minimum`` and ``np.ma.maximum`` has been - removed. Use ``np.ma.minimum.reduce()`` or ``np.ma.maximum.reduce()`` instead. diff --git a/doc/release/upcoming_changes/22313.deprecation.rst b/doc/release/upcoming_changes/22313.deprecation.rst deleted file mode 100644 index c4a0a4a9a..000000000 --- a/doc/release/upcoming_changes/22313.deprecation.rst +++ /dev/null @@ -1,10 +0,0 @@ -Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose ------------------------------------------------------------ - -The ``numpy.fastCopyAndTranspose`` function has been deprecated. Use the -corresponding copy and transpose methods directly:: - - arr.T.copy() - -The underlying C function ``PyArray_CopyAndTranspose`` has also been -deprecated from the NumPy C-API. diff --git a/doc/release/upcoming_changes/22316.new_feature.rst b/doc/release/upcoming_changes/22316.new_feature.rst deleted file mode 100644 index f6655eaec..000000000 --- a/doc/release/upcoming_changes/22316.new_feature.rst +++ /dev/null @@ -1,4 +0,0 @@ -``np.void`` now has a ``dtype`` argument ----------------------------------------- -NumPy now allows constructing structured void scalars directly by -passing the ``dtype`` argument to ``np.void``. diff --git a/doc/release/upcoming_changes/22357.improvement.rst b/doc/release/upcoming_changes/22357.improvement.rst deleted file mode 100644 index a0332eaa0..000000000 --- a/doc/release/upcoming_changes/22357.improvement.rst +++ /dev/null @@ -1,6 +0,0 @@ -``numpy.typing`` protocols are now runtime checkable ----------------------------------------------------- - -The protocols used in `~numpy.typing.ArrayLike` and `~numpy.typing.DTypeLike` -are now properly marked as runtime checkable, making them easier to use for -runtime type checkers. diff --git a/doc/release/upcoming_changes/22393.deprecation.rst b/doc/release/upcoming_changes/22393.deprecation.rst deleted file mode 100644 index 52099506c..000000000 --- a/doc/release/upcoming_changes/22393.deprecation.rst +++ /dev/null @@ -1,17 +0,0 @@ -Conversion of out-of-bound Python integers ------------------------------------------- -Attempting a conversion from a Python integer to a NumPy -value will now always check whether the result can be -represented by NumPy. This means the following examples will -fail in the future and give a ``DeprecationWarning`` now:: - - np.uint8(-1) - np.array([3000], dtype=np.int8) - -Many of these did succeed before. Such code was mainly -useful for unsigned integers with negative values such as -`np.uint8(-1)` giving `np.iinfo(np.uint8).max`. - -Note that conversion between NumPy integers is unaffected, -so that `np.array(-1).astype(np.uint8)` continues to work -and use C integer overflow logic. diff --git a/doc/release/upcoming_changes/22456.deprecation.rst b/doc/release/upcoming_changes/22456.deprecation.rst deleted file mode 100644 index ab5e7ee31..000000000 --- a/doc/release/upcoming_changes/22456.deprecation.rst +++ /dev/null @@ -1,4 +0,0 @@ -Deprecate ``msort`` -------------------- - -The ``numpy.msort`` function is deprecated. Use ``np.sort(a, axis=0)`` instead. diff --git a/doc/release/upcoming_changes/22457.change.rst b/doc/release/upcoming_changes/22457.change.rst deleted file mode 100644 index 7d787441f..000000000 --- a/doc/release/upcoming_changes/22457.change.rst +++ /dev/null @@ -1,8 +0,0 @@ -``nditer``/``NpyIter`` allows all allocating all operands ---------------------------------------------------------- -The NumPy iterator available through `np.nditer` in Python -and as ``NpyIter`` in C now supports allocating all arrays. - -The iterator shape defaults to ``()`` in this case. The operands -dtype must be provided, since a "common dtype" cannot be inferred -from the other inputs. diff --git a/doc/release/upcoming_changes/22540.expired.rst b/doc/release/upcoming_changes/22540.expired.rst deleted file mode 100644 index 53e876cbf..000000000 --- a/doc/release/upcoming_changes/22540.expired.rst +++ /dev/null @@ -1,5 +0,0 @@ -* Passing dtype instances other than the canonical (mainly native byte-order) - ones to ``dtype=`` or ``signature=`` in ufuncs will now raise a ``TypeError``. - We recommend passing the strings ``"int8"`` or scalar types ``np.int8`` - since the byte-order, datetime/timedelta unit, etc. are never enforced. - (Initially deprecated in NumPy 1.21.) diff --git a/doc/release/upcoming_changes/22541.expired.rst b/doc/release/upcoming_changes/22541.expired.rst deleted file mode 100644 index a4c0f7b92..000000000 --- a/doc/release/upcoming_changes/22541.expired.rst +++ /dev/null @@ -1,3 +0,0 @@ -* The ``dtype=`` argument to comparison ufuncs is now applied - correctly. That means that only ``bool`` and ``object`` are valid - values and ``dtype=object`` is enforced. diff --git a/doc/release/upcoming_changes/22542.compatibility.rst b/doc/release/upcoming_changes/22542.compatibility.rst deleted file mode 100644 index c3fd9b6b7..000000000 --- a/doc/release/upcoming_changes/22542.compatibility.rst +++ /dev/null @@ -1,7 +0,0 @@ -DLPack export raises ``BufferError`` ------------------------------------- -When an array buffer cannot be exported via DLPack a -``BufferError`` is now always raised where previously -``TypeError`` or ``RuntimeError`` was raised. -This allows falling back to the buffer protocol or -``__array_interface__`` when DLPack was tried first. diff --git a/doc/release/upcoming_changes/22598.compatibility.rst b/doc/release/upcoming_changes/22598.compatibility.rst deleted file mode 100644 index 9be468798..000000000 --- a/doc/release/upcoming_changes/22598.compatibility.rst +++ /dev/null @@ -1,5 +0,0 @@ -NumPy builds are no longer tested on GCC-6 ------------------------------------------- -Ubuntu 18.04 is deprecated for GitHub actions and GCC-6 is not available on -Ubuntu 20.04, so builds using that compiler are no longer tested. We still test -builds using GCC-7 and GCC-8. diff --git a/doc/release/upcoming_changes/22607.deprecation.rst b/doc/release/upcoming_changes/22607.deprecation.rst deleted file mode 100644 index 26eb58d20..000000000 --- a/doc/release/upcoming_changes/22607.deprecation.rst +++ /dev/null @@ -1,5 +0,0 @@ -``np.str0`` and similar are now deprecated ------------------------------------------- -The scalar type aliases ending in a 0 bit size: ``np.object0``, ``np.str0``, -``np.bytes0``, ``np.void0``, ``np.int0``, ``np.uint0`` as well as ``np.bool8`` -are now deprecated and will eventually be removed. diff --git a/doc/release/upcoming_changes/22607.expired.rst b/doc/release/upcoming_changes/22607.expired.rst deleted file mode 100644 index 8c7ea2394..000000000 --- a/doc/release/upcoming_changes/22607.expired.rst +++ /dev/null @@ -1,4 +0,0 @@ -* The deprecation for the aliases ``np.object``, ``np.bool``, ``np.float``, - ``np.complex``, ``np.str``, and ``np.int`` is expired (introduces NumPy 1.20). - Some of these will now give a FutureWarning in addition to raising an error - since they will be mapped to the NumPy scalars in the future. diff --git a/doc/source/release/1.24.0-notes.rst b/doc/source/release/1.24.0-notes.rst index 68134bce2..93a425ef8 100644 --- a/doc/source/release/1.24.0-notes.rst +++ b/doc/source/release/1.24.0-notes.rst @@ -1,45 +1,505 @@ .. currentmodule:: numpy -========================== -NumPy 1.24.0 Release Notes -========================== +======================== +NumPy 1.24 Release Notes +======================== +The NumPy 1.24.0 release continues the ongoing work to improve the handling and +promotion of dtypes, increase the 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, check them out. +* Many expired deprecations, +* New F2PY features and fixes. +* New "dtype" and "casting" keywords for stacking functions. -Highlights -========== - - -New functions -============= +See below for the details, Deprecations ============ +Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose +----------------------------------------------------------- +The ``numpy.fastCopyAndTranspose`` function has been deprecated. Use the +corresponding copy and transpose methods directly:: + + arr.T.copy() + +The underlying C function ``PyArray_CopyAndTranspose`` has also been deprecated +from the NumPy C-API. + +(`gh-22313 <https://github.com/numpy/numpy/pull/22313>`__) + +Conversion of out-of-bound Python integers +------------------------------------------ +Attempting a conversion from a Python integer to a NumPy value will now always +check whether the result can be represented by NumPy. This means the following +examples will fail in the future and give a ``DeprecationWarning`` now:: + + np.uint8(-1) + np.array([3000], dtype=np.int8) + +Many of these did succeed before. Such code was mainly useful for unsigned +integers with negative values such as ``np.uint8(-1)`` giving +``np.iinfo(np.uint8).max``. -Future Changes -============== +Note that conversion between NumPy integers is unaffected, so that +``np.array(-1).astype(np.uint8)`` continues to work and use C integer overflow +logic. + +(`gh-22393 <https://github.com/numpy/numpy/pull/22393>`__) + +Deprecate ``msort`` +------------------- +The ``numpy.msort`` function is deprecated. Use ``np.sort(a, axis=0)`` instead. + +(`gh-22456 <https://github.com/numpy/numpy/pull/22456>`__) + +``np.str0`` and similar are now deprecated +------------------------------------------ +The scalar type aliases ending in a 0 bit size: ``np.object0``, ``np.str0``, +``np.bytes0``, ``np.void0``, ``np.int0``, ``np.uint0`` as well as ``np.bool8`` +are now deprecated and will eventually be removed. + +(`gh-22607 <https://github.com/numpy/numpy/pull/22607>`__) Expired deprecations ==================== +* The ``normed`` keyword argument has been removed from + `np.histogram`, `np.histogram2d`, and `np.histogramdd`. + Use ``density`` instead. If ``normed`` was passed by + position, ``density`` is now used. + + (`gh-21645 <https://github.com/numpy/numpy/pull/21645>`__) + +* Ragged array creation will now always raise a ``ValueError`` unless + ``dtype=object`` is passed. This includes very deeply nested sequences. + + (`gh-22004 <https://github.com/numpy/numpy/pull/22004>`__) + +* Support for Visual Studio 2015 and earlier has been removed. + +* Support for the Windows Interix POSIX interop layer has been removed. + + (`gh-22139 <https://github.com/numpy/numpy/pull/22139>`__) + +* Support for cygwin < 3.3 has been removed. + + (`gh-22159 <https://github.com/numpy/numpy/pull/22159>`__) + +* The mini() method of ``np.ma.MaskedArray`` has been removed. Use either + ``np.ma.MaskedArray.min()`` or ``np.ma.minimum.reduce()``. + +* The single-argument form of ``np.ma.minimum`` and ``np.ma.maximum`` has been + removed. Use ``np.ma.minimum.reduce()`` or ``np.ma.maximum.reduce()`` + instead. + + (`gh-22228 <https://github.com/numpy/numpy/pull/22228>`__) + +* Passing dtype instances other than the canonical (mainly native byte-order) + ones to ``dtype=`` or ``signature=`` in ufuncs will now raise a + ``TypeError``. We recommend passing the strings ``"int8"`` or scalar types + ``np.int8`` since the byte-order, datetime/timedelta unit, etc. are never + enforced. (Initially deprecated in NumPy 1.21.) + + (`gh-22540 <https://github.com/numpy/numpy/pull/22540>`__) + +* The ``dtype=`` argument to comparison ufuncs is now applied correctly. That + means that only ``bool`` and ``object`` are valid values and ``dtype=object`` + is enforced. + + (`gh-22541 <https://github.com/numpy/numpy/pull/22541>`__) + +* The deprecation for the aliases ``np.object``, ``np.bool``, ``np.float``, + ``np.complex``, ``np.str``, and ``np.int`` is expired (introduces NumPy + 1.20). Some of these will now give a FutureWarning in addition to raising an + error since they will be mapped to the NumPy scalars in the future. + + (`gh-22607 <https://github.com/numpy/numpy/pull/22607>`__) + Compatibility notes =================== +``array.fill(scalar)`` may behave slightly different +---------------------------------------------------- +``numpy.ndarray.fill`` may in some cases behave slightly different now due to +the fact that the logic is aligned with item assignment:: + + arr = np.array([1]) # with any dtype/value + arr.fill(scalar) + # is now identical to: + arr[0] = scalar + +Previously casting may have produced slightly different answers when using +values that could not be represented in the target ``dtype`` or when the target +had ``object`` dtype. + +(`gh-20924 <https://github.com/numpy/numpy/pull/20924>`__) + +Subarray to object cast now copies +---------------------------------- +Casting a dtype that includes a subarray to an object will now ensure a copy of +the subarray. Previously an unsafe view was returned:: + + arr = np.ones(3, dtype=[("f", "i", 3)]) + subarray_fields = arr.astype(object)[0] + subarray = subarray_fields[0] # "f" field + + np.may_share_memory(subarray, arr) + +Is now always false. While previously it was true for the specific cast. + +(`gh-21925 <https://github.com/numpy/numpy/pull/21925>`__) + +Returned arrays respect uniqueness of dtype kwarg objects +--------------------------------------------------------- +When the ``dtype`` keyword argument is used with :py:func:`np.array()` or +:py:func:`asarray()`, the dtype of the returned array now always exactly +matches the dtype provided by the caller. + +In some cases this change means that a *view* rather than the input array is +returned. The following is an example for this on 64bit Linux where ``long`` +and ``longlong`` are the same precision but different ``dtypes``:: + + >>> arr = np.array([1, 2, 3], dtype="long") + >>> new_dtype = np.dtype("longlong") + >>> new = np.asarray(arr, dtype=new_dtype) + >>> new.dtype is new_dtype + True + >>> new is arr + False + +Before the change, the ``dtype`` did not match because ``new is arr`` was +``True``. + +(`gh-21995 <https://github.com/numpy/numpy/pull/21995>`__) + +DLPack export raises ``BufferError`` +------------------------------------ +When an array buffer cannot be exported via DLPack a ``BufferError`` is now +always raised where previously ``TypeError`` or ``RuntimeError`` was raised. +This allows falling back to the buffer protocol or ``__array_interface__`` when +DLPack was tried first. -C API changes -============= +(`gh-22542 <https://github.com/numpy/numpy/pull/22542>`__) + +NumPy builds are no longer tested on GCC-6 +------------------------------------------ +Ubuntu 18.04 is deprecated for GitHub actions and GCC-6 is not available on +Ubuntu 20.04, so builds using that compiler are no longer tested. We still test +builds using GCC-7 and GCC-8. + +(`gh-22598 <https://github.com/numpy/numpy/pull/22598>`__) New Features ============ +New attribute ``symbol`` added to polynomial classes +---------------------------------------------------- +The polynomial classes in the ``numpy.polynomial`` package have a new +``symbol`` attribute which is used to represent the indeterminate of the +polynomial. This can be used to change the value of the variable when +printing:: + + >>> P_y = np.polynomial.Polynomial([1, 0, -1], symbol="y") + >>> print(P_y) + 1.0 + 0.0·y¹ - 1.0·y² + +Note that the polynomial classes only support 1D polynomials, so operations +that involve polynomials with different symbols are disallowed when the result +would be multivariate:: + + >>> P = np.polynomial.Polynomial([1, -1]) # default symbol is "x" + >>> P_z = np.polynomial.Polynomial([1, 1], symbol="z") + >>> P * P_z + Traceback (most recent call last) + ... + ValueError: Polynomial symbols differ + +The symbol can be any valid Python identifier. The default is ``symbol=x``, +consistent with existing behavior. + +(`gh-16154 <https://github.com/numpy/numpy/pull/16154>`__) + +F2PY support for Fortran ``character`` strings +---------------------------------------------- +F2PY now supports wrapping Fortran functions with: + +* character (e.g. ``character x``) +* character array (e.g. ``character, dimension(n) :: x``) +* character string (e.g. ``character(len=10) x``) +* and character string array (e.g. ``character(len=10), dimension(n, m) :: x``) + +arguments, including passing Python unicode strings as Fortran character string +arguments. + +(`gh-19388 <https://github.com/numpy/numpy/pull/19388>`__) + +New function ``np.show_runtime`` +-------------------------------- +A new function ``numpy.show_runtime`` has been added to display the runtime +information of the machine in addition to ``numpy.show_config`` which displays +the build-related information. + +(`gh-21468 <https://github.com/numpy/numpy/pull/21468>`__) + +``strict`` option for ``testing.assert_array_equal`` +---------------------------------------------------- +The ``strict`` option is now available for ``testing.assert_array_equal``. +Setting ``strict=True`` will disable the broadcasting behaviour for scalars and +ensure that input arrays have the same data type. + +(`gh-21595 <https://github.com/numpy/numpy/pull/21595>`__) + +New parameter ``equal_nan`` added to ``np.unique`` +-------------------------------------------------- +``np.unique`` was changed in 1.21 to treat all ``NaN`` values as equal and +return a single ``NaN``. Setting ``equal_nan=False`` will restore pre-1.21 +behavior to treat ``NaNs`` as unique. Defaults to ``True``. + +(`gh-21623 <https://github.com/numpy/numpy/pull/21623>`__) + +``casting`` and ``dtype`` keyword arguments for ``numpy.stack`` +--------------------------------------------------------------- +The ``casting`` and ``dtype`` keyword arguments are now available for +``numpy.stack``. To use them, write ``np.stack(..., dtype=None, +casting='same_kind')``. + +``casting`` and ``dtype`` keyword arguments for ``numpy.vstack`` +---------------------------------------------------------------- +The ``casting`` and ``dtype`` keyword arguments are now available for +``numpy.vstack``. To use them, write ``np.vstack(..., dtype=None, +casting='same_kind')``. + +``casting`` and ``dtype`` keyword arguments for ``numpy.hstack`` +---------------------------------------------------------------- +The ``casting`` and ``dtype`` keyword arguments are now available for +``numpy.hstack``. To use them, write ``np.hstack(..., dtype=None, +casting='same_kind')``. + +(`gh-21627 <https://github.com/numpy/numpy/pull/21627>`__) + +The bit generator underlying the singleton RandomState can be changed +--------------------------------------------------------------------- +The singleton ``RandomState`` instance exposed in the ``numpy.random`` module +is initialized at startup with the ``MT19937` bit generator. The new function +``set_bit_generator`` allows the default bit generator to be replaced with a +user-provided bit generator. This function has been introduced to provide a +method allowing seamless integration of a high-quality, modern bit generator in +new code with existing code that makes use of the singleton-provided random +variate generating functions. The companion function ``get_bit_generator`` +returns the current bit generator being used by the singleton ``RandomState``. +This is provided to simplify restoring the original source of randomness if +required. + +The preferred method to generate reproducible random numbers is to use a modern +bit generator in an instance of ``Generator``. The function ``default_rng`` +simplifies instantiation:: + + >>> rg = np.random.default_rng(3728973198) + >>> rg.random() + +The same bit generator can then be shared with the singleton instance so that +calling functions in the ``random`` module will use the same bit generator:: + + >>> orig_bit_gen = np.random.get_bit_generator() + >>> np.random.set_bit_generator(rg.bit_generator) + >>> np.random.normal() + +The swap is permanent (until reversed) and so any call to functions in the +``random`` module will use the new bit generator. The original can be restored +if required for code to run correctly:: + + >>> np.random.set_bit_generator(orig_bit_gen) + +(`gh-21976 <https://github.com/numpy/numpy/pull/21976>`__) + +``np.void`` now has a ``dtype`` argument +---------------------------------------- +NumPy now allows constructing structured void scalars directly by +passing the ``dtype`` argument to ``np.void``. + +(`gh-22316 <https://github.com/numpy/numpy/pull/22316>`__) + Improvements ============ +F2PY Improvements +----------------- +* The generated extension modules don't use the deprecated NumPy-C API anymore +* Improved ``f2py`` generated exception messages +* Numerous bug and ``flake8`` warning fixes +* various CPP macros that one can use within C-expressions of signature files + are prefixed with ``f2py_``. For example, one should use ``f2py_len(x)`` + instead of ``len(x)`` +* A new construct ``character(f2py_len=...)`` is introduced to support + returning assumed length character strings (e.g. ``character(len=*)``) from + wrapper functions + +A hook to support rewriting ``f2py`` internal data structures after reading all +its input files is introduced. This is required, for instance, for BC of SciPy +support where character arguments are treated as character strings arguments in +``C`` expressions. + +(`gh-19388 <https://github.com/numpy/numpy/pull/19388>`__) + +IBM zSystems Vector Extension Facility (SIMD) +--------------------------------------------- +Added support for SIMD extensions of zSystem (z13, z14, z15), through the +universal intrinsics interface. This support leads to performance improvements +for all SIMD kernels implemented using the universal intrinsics, including the +following operations: rint, floor, trunc, ceil, sqrt, absolute, square, +reciprocal, tanh, sin, cos, equal, not_equal, greater, greater_equal, less, +less_equal, maximum, minimum, fmax, fmin, argmax, argmin, add, subtract, +multiply, divide. + +(`gh-20913 <https://github.com/numpy/numpy/pull/20913>`__) + +NumPy now gives floating point errors in casts +---------------------------------------------- +In most cases, NumPy previously did not give floating point warnings or errors +when these happened during casts. For examples, casts like:: + + np.array([2e300]).astype(np.float32) # overflow for float32 + np.array([np.inf]).astype(np.int64) + +Should now generally give floating point warnings. These warnings should warn +that floating point overflow occurred. For errors when converting floating +point values to integers users should expect invalid value warnings. + +Users can modify the behavior of these warnings using ``np.errstate``. + +Note that for float to int casts, the exact warnings that are given may +be platform dependent. For example:: + + arr = np.full(100, value=1000, dtype=np.float64) + arr.astype(np.int8) + +May give a result equivalent to (the intermediate cast means no warning is +given):: + + arr.astype(np.int64).astype(np.int8) + +May return an undefined result, with a warning set:: + + RuntimeWarning: invalid value encountered in cast + +The precise behavior is subject to the C99 standard and its implementation in +both software and hardware. + +(`gh-21437 <https://github.com/numpy/numpy/pull/21437>`__) + +F2PY supports the value attribute +--------------------------------- +The Fortran standard requires that variables declared with the ``value`` +attribute must be passed by value instead of reference. F2PY now supports this +use pattern correctly. So ``integer, intent(in), value :: x`` in Fortran codes +will have correct wrappers generated. + +(`gh-21807 <https://github.com/numpy/numpy/pull/21807>`__) + +Added pickle support for third-party BitGenerators +-------------------------------------------------- +The pickle format for bit generators was extended to allow each bit generator +to supply its own constructor when during pickling. Previous versions of NumPy +only supported unpickling ``Generator`` instances created with one of the core +set of bit generators supplied with NumPy. Attempting to unpickle a +``Generator`` that used a third-party bit generators would fail since the +constructor used during the unpickling was only aware of the bit generators +included in NumPy. + +(`gh-22014 <https://github.com/numpy/numpy/pull/22014>`__) + +arange() now explicitly fails with dtype=str +--------------------------------------------- +Previously, the ``np.arange(n, dtype=str)`` function worked for ``n=1`` and +``n=2``, but would raise a non-specific exception message for other values of +``n``. Now, it raises a `TypeError` informing that ``arange`` does not support +string dtypes:: + + >>> np.arange(2, dtype=str) + Traceback (most recent call last) + ... + TypeError: arange() not supported for inputs with DType <class 'numpy.dtype[str_]'>. + +(`gh-22055 <https://github.com/numpy/numpy/pull/22055>`__) + +``numpy.typing`` protocols are now runtime checkable +---------------------------------------------------- +The protocols used in ``numpy.typing.ArrayLike`` and ``numpy.typing.DTypeLike`` +are now properly marked as runtime checkable, making them easier to use for +runtime type checkers. + +(`gh-22357 <https://github.com/numpy/numpy/pull/22357>`__) + + +Performance improvements and changes +==================================== + +Faster version of ``np.isin`` and ``np.in1d`` for integer arrays +---------------------------------------------------------------- +``np.in1d`` (used by ``np.isin``) can now switch to a faster algorithm (up to +>10x faster) when it is passed two integer arrays. This is often automatically +used, but you can use ``kind="sort"`` or ``kind="table"`` to force the old or +new method, respectively. + +(`gh-12065 <https://github.com/numpy/numpy/pull/12065>`__) + +Faster comparison operators +---------------------------- +The comparison functions (``numpy.equal``, ``numpy.not_equal``, ``numpy.less``, +``numpy.less_equal``, ``numpy.greater`` and ``numpy.greater_equal``) are now +much faster as they are now vectorized with universal intrinsics. For a CPU +with SIMD extension AVX512BW, the performance gain is up to 2.57x, 1.65x and +19.15x for integer, float and boolean data types, respectively (with N=50000). + +(`gh-21483 <https://github.com/numpy/numpy/pull/21483>`__) + Changes ======= + +Better reporting of integer division overflow +--------------------------------------------- +Integer division overflow of scalars and arrays used to provide a +``RuntimeWarning`` and the return value was undefined leading to crashes at +rare occasions:: + + >>> np.array([np.iinfo(np.int32).min]*10, dtype=np.int32) // np.int32(-1) + <stdin>:1: RuntimeWarning: divide by zero encountered in floor_divide + array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32) + +Integer division overflow now returns the input dtype's minimum value and raise +the following ``RuntimeWarning``:: + + >>> np.array([np.iinfo(np.int32).min]*10, dtype=np.int32) // np.int32(-1) + <stdin>:1: RuntimeWarning: overflow encountered in floor_divide + array([-2147483648, -2147483648, -2147483648, -2147483648, -2147483648, + -2147483648, -2147483648, -2147483648, -2147483648, -2147483648], + dtype=int32) + +(`gh-21506 <https://github.com/numpy/numpy/pull/21506>`__) + +``masked_invalid`` now modifies the mask in-place +------------------------------------------------- +When used with ``copy=False``, ``numpy.ma.masked_invalid`` now modifies the +input masked array in-place. This makes it behave identically to +``masked_where`` and better matches the documentation. + +(`gh-22046 <https://github.com/numpy/numpy/pull/22046>`__) + +``nditer``/``NpyIter`` allows all allocating all operands +--------------------------------------------------------- +The NumPy iterator available through ``np.nditer`` in Python and as ``NpyIter`` +in C now supports allocating all arrays. The iterator shape defaults to ``()`` +in this case. The operands dtype must be provided, since a "common dtype" +cannot be inferred from the other inputs. + +(`gh-22457 <https://github.com/numpy/numpy/pull/22457>`__) |