diff options
| author | Charles Harris <charlesr.harris@gmail.com> | 2021-11-23 07:33:35 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-11-23 07:33:35 -0700 |
| commit | 150c1233a717240998567d1cc58911701224ceb6 (patch) | |
| tree | 6d552771ce97bc3a1192fe1468dd551b712f07b9 | |
| parent | 6037fbd2b5507acfc6f035825d51c01157dcfb2d (diff) | |
| parent | 8453fc574675acc3c9468be680445ccf33034567 (diff) | |
| download | numpy-1.22.0rc1.tar.gz | |
Merge pull request #20434 from charris/prepare-for-1.22.0rc1v1.22.0rc1
REL: Prepare for the NumPy 1.22.0r1 release.
39 files changed, 1173 insertions, 305 deletions
@@ -26,13 +26,13 @@ @sfolje0 <sfolje0@github> @spacescientist <aspacescientist@protonmail.com> <spacescientist@pm.me> @tautaus <sunt9751@gmail.com> -@vinith2 <85550536+vinith2@users.noreply.github.com> @xoviat <49173759+xoviat@users.noreply.github.com> @xoviat <49173759+xoviat@users.noreply.github.com> <xoviat@users.noreply.github.com> @yan-wyb <yan-wyb@foxmail.com> @yetanothercheer <yetanothercheer@protonmail.com> Aaron Baecker <abaecker@localhost> Aarthi Agurusa <agurusa@gmail.com> +Andrei Batomunkuev <abatomunkuev@myseneca.ca> Ajay DS <turingman@protonmail.com> Ajay DS <turingman@protonmail.com> <ajayds2001@gmail.com> Alan Fontenot <logeaux@yahoo.com> @@ -44,6 +44,7 @@ Abhinav Reddy <abhinav071197@gmail.com> Abel Aoun <aoun@cerfacs.fr> Adam Ginsburg <adam.g.ginsburg@gmail.com> <keflavich@gmail.com> Aerik Pawson <45904740+aerikpawson@users.noreply.github.com> +Ahmet Can Solak <asolak14@ku.edu.tr> Albert Jornet Puig <albert.jornet@ic3.cat> Alberto Rubiales <arubiales11@gmail.com> Alex Rockhill <aprockhill206@gmail.com> @@ -66,6 +67,8 @@ Allan Haldane <allan.haldane@gmail.com> <ealloc@gmail.com> Al-Baraa El-Hag <a.elhag01@gmail.com> <48454648+a-elhag@users.noreply.github.com> Alok Singhal <gandalf013@gmail.com> Alok Singhal <alok@merfinllc.com> Alyssa Quek <alyssaquek@gmail.com> +Ankit Dwivedi <adwivedi@microsoft.com> +Ankit Dwivedi <adwivedi@microsoft.com> <ankit_dwivedi@outlook.com> Amir Sarabadani <ladsgroup@gmail.com> Anas Khan <anasalimkhan@gmail.com> <anas.khan96@outlook.com> Anatoly Techtonik <techtonik@gmail.com> @@ -118,6 +121,9 @@ Bui Duc Minh <buiducminh287@gmail.com> <41239569+Mibu287@users.noreply.github.co Carl Kleffner <cmkleffner@gmail.com> Carl Leake <leakec57@gmail.com> Charles Stern <62192187+cisaacstern@users.noreply.github.com> +Chiara Marmo <chiara.marmo@inria.fr> +Chiara Marmo <chiara.marmo@inria.fr> <marmochiaskl@gmail.com> +Chiara Marmo <chiara.marmo@inria.fr> <cmarmo@users.noreply.github.com> Chris Barker <Chris.Barker@noaa.gov> <chris.barker@local> Chris Burns <chris.burns@localhost> Chris Fu (傅立业) <17433201@qq.com> @@ -161,6 +167,8 @@ Derek Homeier <derek@astro.physik.uni-goettingen.de> 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> +Dima Pasechnik <dima@pasechnik.info> +Dima Pasechnik <dima@pasechnik.info> <dimpase@gmail.com> Dmitriy Shalyga <zuko3d@gmail.com> Dustan Levenstein <dlevenstein@gmail.com> <43019642+dustanlevenstein@users.noreply.github.com> Dylan Cutler <dylancutler@google.com> @@ -207,6 +215,7 @@ Han Genuit <hangenuit@gmail.com> Hanno Klemm <hanno.klemm@maerskoil.com> hklemm <hanno.klemm@maerskoil.com> Helder Oliveira <heldercro@gmail.com> Hemil Desai <desai38@purdue.edu> +Himanshu <addyjeridiq@gmail.com> Hiroyuki V. Yamazaki <hiroyuki.vincent.yamazaki@gmail.com> Hugo van Kemenade <hugovk@users.noreply.github.com> I-Shen Leong <i-shenl@activestate.com> @@ -247,6 +256,9 @@ John Darbyshire <24256554+attack68@users.noreply.github.com> <24256554+attack68@ John Hagen <johnthagen@gmail.com> <johnthagen@users.noreply.github.com> John Kirkham <jakirkham@gmail.com> John Kirkham <jakirkham@gmail.com> <kirkhamj@janelia.hhmi.org> +Jonas I. Liechti <jonas.i.liechti@gmail.com> +Jonas I. Liechti <jonas.i.liechti@gmail.com> <jonas.i.liechti@protonmail.ch> +Jonas I. Liechti <jonas.i.liechti@gmail.com> <jonas.liechti@uzh.ch> Joseph Fox-Rabinovitz <jfoxrabinovitz@gmail.com> Joseph Fox-Rabinovitz <jfoxrabinovitz@gmail.com> <joseph.r.fox-rabinovitz@nasa.gov> Joseph Fox-Rabinovitz <jfoxrabinovitz@gmail.com> <madphysicist@users.noreply.github.com> @@ -384,6 +396,9 @@ Riya Sharma <navneet.nmk@gmail.com> Robert Kern <rkern@enthought.com> <robert.kern@gmail.com> Robert LU <robberphex@gmail.com> Robert T. McGibbon <rmcgibbo@gmail.com> +Rohit Goswami <rog32@hi.is> +Rohit Goswami <rog32@hi.is> <rohit.goswami@aol.com> +Rohit Goswami <rog32@hi.is> <r95g10@gmail.com> Roland Kaufmann <rka081+numpy@uib.no> <roland.kaufmann@uni.no> Roman Yurchak <rth.yurchak@gmail.com> <rth.yurchak@pm.me> Ronan Lamy <ronan.lamy@gmail.com> Ronan Lamy <Ronan.Lamy@normalesup.org> @@ -417,6 +432,8 @@ Siavash Eliasi <siavashserver@gmail.com> Simon Conseil <contact@saimon.org> <simon.conseil@univ-lyon1.fr> Simon Gasse <simon.gasse@gmail.com> Simon Gasse <simon.gasse@gmail.com> <sgasse@users.noreply.github.com> +Sista Seetaram <hanumaseetaram@gmail.com> +Sista Seetaram <hanumaseetaram@gmail.com> <65669128+sistaseetaram@users.noreply.github.com> Søren Rasmussen <soren.rasmussen@alexandra.dk> <47032123+sorenrasmussenai@users.noreply.github.com> Spencer Hill <spencerahill@gmail.com> <shill@atmos.ucla.edu> Stefan Behnel <stefan_ml@behnel.de> @@ -453,6 +470,9 @@ 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> 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> +Vrinda Narayan <talk2vrinda@gmail.com> Vrinda Narayan <talk2vrinda@gmail.com> <vrinda18120@iiitd.ac.in> Vrinda Narayan <talk2vrinda@gmail.com> <48102157+vrindaaa@users.noreply.github.com> Wansoo Kim <rladhkstn8@gmail.com> @@ -466,6 +486,8 @@ Wojtek Ruszczewski <git@wr.waw.pl> Wojciech Rzadkowski <wojciech.rzadkowski@gmail.com> <33913808+wrzadkow@users.noreply.github.com> Yang Hau <yuanyanghau@gmail.com> Yang Hau <yuanyanghau@gmail.com> <vulxj0j8j8@gmail.com> +Yashasvi Misra <yashasvimisra_bh@srmuniv.edu.in> +Yashasvi Misra <yashasvimisra_bh@srmuniv.edu.in> <54177363+yashasvimisra2798@users.noreply.github.com> Yogesh Raisinghani <vanshita12004@gmail.com> <46864533+raisinghanii@users.noreply.github.com> Yu Feng <rainwoodman@gmail.com> <feyu@google.com> Yuji Kanagawa <yuji.kngw.80s.revive@gmail.com> diff --git a/doc/changelog/1.22.0-changelog.rst b/doc/changelog/1.22.0-changelog.rst new file mode 100644 index 000000000..20dc37b17 --- /dev/null +++ b/doc/changelog/1.22.0-changelog.rst @@ -0,0 +1,738 @@ + +Contributors +============ + +A total of 150 people contributed to this release. People with a "+" by their +names contributed a patch for the first time. + +* @DWesl +* @Illviljan +* @h-vetinari +* @yan-wyb + +* Aaron Meurer +* Abel Aoun + +* Adrian Gao + +* Ahmet Can Solak + +* Ajay DS + +* Alban Colley + +* Alberto Rubiales + +* Alessia Marcolini + +* Amit Kumar + +* Andrei Batomunkuev + +* Andrew Watson + +* Anirudh Dagar + +* Ankit Dwivedi + +* Antony Lee +* Arfy Slowy + +* Arryan Singh + +* Arun Palaniappen + +* Arushi Sharma + +* Bas van Beek +* Brent Brewington + +* Carl Johnsen + +* Carl Michal + +* Charles Harris +* Chiara Marmo +* Chris Fu (傅立业) + +* Christoph Buchner + +* Christoph Reiter + +* Chunlin Fang +* Clément Robert + +* Constanza Fierro +* Damien Caliste +* Daniel Ching +* David Badnar + +* David Cortes + +* David Okpare + +* Derek Huang + +* Developer-Ecosystem-Engineering + +* Dima Pasechnik +* Dimitri Papadopoulos + +* Dmitriy Fishman + +* Eero Vaher + +* Elias Koromilas + +* Eliaz Bobadilla + +* Elisha Hollander + +* Eric Wieser +* Eskild Eriksen + +* Fayas Noushad + +* Gagandeep Singh + +* Ganesh Kathiresan +* Ghiles Meddour + +* Greg Lucas +* Gregory R. Lee +* Guo Shuai + +* Gwyn Ciesla + +* Hameer Abbasi +* Hector Martin + +* Henry Schreiner + +* Himanshu + +* Hood Chatham + +* Hugo Defois + +* Hugo van Kemenade +* I-Shen Leong + +* Imen Rajhi + +* Irina Maria Mocan + +* Irit Katriel + +* Isuru Fernando +* Jakob Jakobson +* Jerry Morrison + +* Jessi J Zhao + +* Joe Marshall + +* Johan von Forstner + +* Jonas I. Liechti + +* Jonathan Reichelt Gjertsen + +* Joshua Himmens + +* Jérome Eertmans +* Jérôme Kieffer + +* KIU Shueng Chuan + +* Kenichi Maehashi +* Kenny Huynh + +* Kent R. Spillner + +* Kevin Granados + +* Kevin Modzelewski + +* Kevin Sheppard +* Lalit Musmade + +* Malik Idrees Hasan Khan + +* Marco Aurelio da Costa + +* Margret Pax + +* Mars Lee + +* Marten van Kerkwijk +* Matthew Barber + +* Matthew Brett +* Matthias Bussonnier +* Matthieu Dartiailh +* Matti Picus +* Melissa Weber Mendonça +* Michael McCann + +* Mike Jarvis + +* Mike McCann + +* Mike Toews +* Mukulika Pahari +* Nick Pope + +* Nick Wogan + +* Niels Dunnewind + +* Niko Savola + +* Nikola Forró +* Niyas Sait + +* Pamphile ROY +* Paul Ganssle + +* Pauli Virtanen +* Pearu Peterson +* Peter Hawkins + +* Peter Tillema + +* Prathmesh Shirsat + +* Raghuveer Devulapalli +* Ralf Gommers +* Robert Kern +* Rohit Goswami + +* Ronan Lamy +* Ross Barnowski +* Roy Jacobson + +* Samyak S Sarnayak + +* Sayantika Banik + +* Sayed Adel +* Sebastian Berg +* Sebastian Schleehauf + +* Serge Guelton +* Shriraj Hegde + +* Shubham Gupta + +* Sista Seetaram + +* Stefan van der Walt +* Stephannie Jimenez Gacha + +* Tania Allard +* Theodoros Nikolaou + +* Thomas J. Fan +* Thomas Li + +* Tim Hoffmann +* Tom Tan + +* Tyler Reddy +* Vijay Arora + +* Vinith Kishore + +* Warren Weckesser +* Yang Hau +* Yashasvi Misra +* Yuval Ofek + +* Zac Hatfield-Dodds +* Zhang Na + + +Pull requests merged +==================== + +A total of 575 pull requests were merged for this release. + +* `#15847 <https://github.com/numpy/numpy/pull/15847>`__: BUG: avoid infinite recurrence on dependencies in crackfortran +* `#16740 <https://github.com/numpy/numpy/pull/16740>`__: ENH: Add broadcast support to Generator.multinomial +* `#16796 <https://github.com/numpy/numpy/pull/16796>`__: DOC: Added a warning about fractional steps in np.arange +* `#17530 <https://github.com/numpy/numpy/pull/17530>`__: ENH: Allow ``ctypeslib.load_library`` to take any path-like object +* `#17582 <https://github.com/numpy/numpy/pull/17582>`__: ENH: Configurable allocator +* `#18203 <https://github.com/numpy/numpy/pull/18203>`__: MAINT: Speedup np.quantile. +* `#18330 <https://github.com/numpy/numpy/pull/18330>`__: TST: Add cygwin build to CI +* `#18421 <https://github.com/numpy/numpy/pull/18421>`__: DOC: Adjust polyfit doc to clarify the meaning of w +* `#18536 <https://github.com/numpy/numpy/pull/18536>`__: ENH: Add smallest_normal and smallest_subnormal attributes to... +* `#18585 <https://github.com/numpy/numpy/pull/18585>`__: ENH: Implementation of the NEP 47 (adopting the array API standard) +* `#18759 <https://github.com/numpy/numpy/pull/18759>`__: BUG: revise string_from_pyobj/try_pyarr_from_string with respect... +* `#18762 <https://github.com/numpy/numpy/pull/18762>`__: MAINT: Remove unused imports and unreachable code +* `#18775 <https://github.com/numpy/numpy/pull/18775>`__: DOC: Ensure that we add documentation also as to the dict for... +* `#18884 <https://github.com/numpy/numpy/pull/18884>`__: DOC: Add support for documenting C/C++ via Doxygen & Breathe +* `#18905 <https://github.com/numpy/numpy/pull/18905>`__: MAINT: Refactor reductions to use NEP 43 style dispatching/promotion +* `#18964 <https://github.com/numpy/numpy/pull/18964>`__: DOC: replace np.ma functions' return types with ``MaskedArray`` +* `#18984 <https://github.com/numpy/numpy/pull/18984>`__: DOC: add example showing how to convert POSIX timestamps to datetime64 +* `#19003 <https://github.com/numpy/numpy/pull/19003>`__: DOC: Remove misleading info about Fortran compiler in Building... +* `#19016 <https://github.com/numpy/numpy/pull/19016>`__: BUG: Update coordinates on PyArray_ITER_GOTO1D +* `#19022 <https://github.com/numpy/numpy/pull/19022>`__: SIMD: Add new universal intrinsic for ceil +* `#19023 <https://github.com/numpy/numpy/pull/19023>`__: BUG: fix np.ma.MaskedArray.anom when input is masked +* `#19036 <https://github.com/numpy/numpy/pull/19036>`__: MAINT: replace imgmath with mathjax for docs +* `#19058 <https://github.com/numpy/numpy/pull/19058>`__: BUG: Fixes to getter signatures +* `#19060 <https://github.com/numpy/numpy/pull/19060>`__: ENH: Add initial annotations to ``np.core.multiarray`` +* `#19062 <https://github.com/numpy/numpy/pull/19062>`__: ENH: Add a mypy plugin for inferring the precision of ``np.ctypeslib.c_intp`` +* `#19070 <https://github.com/numpy/numpy/pull/19070>`__: REL: Prepare for NumPy 1.22.0 development +* `#19071 <https://github.com/numpy/numpy/pull/19071>`__: BUG: Fix compile-time test of POPCNT +* `#19072 <https://github.com/numpy/numpy/pull/19072>`__: BUG, TST: Fix test_numpy_version. +* `#19082 <https://github.com/numpy/numpy/pull/19082>`__: MAINT: Bump hypothesis from 6.12.0 to 6.13.4 +* `#19083 <https://github.com/numpy/numpy/pull/19083>`__: ENH: Implement the DLPack Array API protocols for ndarray. +* `#19086 <https://github.com/numpy/numpy/pull/19086>`__: BUG: Linter should only run on pull requests. +* `#19087 <https://github.com/numpy/numpy/pull/19087>`__: DOC: Add note to savez about naming variables with keyword ``file``. +* `#19089 <https://github.com/numpy/numpy/pull/19089>`__: DOC: Add example to histogram2d docstring +* `#19090 <https://github.com/numpy/numpy/pull/19090>`__: MAINT: removed unused imports listed in LGTM +* `#19092 <https://github.com/numpy/numpy/pull/19092>`__: BUG: Fixed an issue wherein ``_GenericAlias.__getitem__`` would... +* `#19093 <https://github.com/numpy/numpy/pull/19093>`__: DOC: add a "Returns" section for ``np.frombuffer`` +* `#19096 <https://github.com/numpy/numpy/pull/19096>`__: BUG: Fix setup.py to work in maintenance branches. +* `#19098 <https://github.com/numpy/numpy/pull/19098>`__: BUG, SIMD: Fix detect host/native CPU features on ICC during... +* `#19099 <https://github.com/numpy/numpy/pull/19099>`__: DOC: fixed unsigned integer alias links. +* `#19102 <https://github.com/numpy/numpy/pull/19102>`__: MAINT: Removed suitable unused variables shown in LGTM +* `#19110 <https://github.com/numpy/numpy/pull/19110>`__: DOC: Fix the documented default value of the ``order`` parameter... +* `#19115 <https://github.com/numpy/numpy/pull/19115>`__: DOC: Misc fixes to ``absolute_beginners.html`` +* `#19118 <https://github.com/numpy/numpy/pull/19118>`__: MAINT: Misc cleaning of ``numpy.typing`` +* `#19119 <https://github.com/numpy/numpy/pull/19119>`__: BUG: Adjust shallow clone in the gitpod container +* `#19121 <https://github.com/numpy/numpy/pull/19121>`__: DOC: Fix missing files and deprecated commands. +* `#19124 <https://github.com/numpy/numpy/pull/19124>`__: BUG: Fixed an issue wherein ``poly1d.__getitem__`` could return... +* `#19128 <https://github.com/numpy/numpy/pull/19128>`__: DOC:``Building the NumPy API and reference docs`` rewrite +* `#19130 <https://github.com/numpy/numpy/pull/19130>`__: ENH: SIMD architectures to show_config +* `#19131 <https://github.com/numpy/numpy/pull/19131>`__: DOC: added explanation about tril/triu n-dimensional functionality. +* `#19132 <https://github.com/numpy/numpy/pull/19132>`__: BUG: Use larger fetch depth in gitpod.yml +* `#19135 <https://github.com/numpy/numpy/pull/19135>`__: BUG: Remove complex floor divide +* `#19139 <https://github.com/numpy/numpy/pull/19139>`__: MAINT: Bump hypothesis from 6.13.4 to 6.13.10 +* `#19140 <https://github.com/numpy/numpy/pull/19140>`__: ENH: Add dtype-support to 3 ``generic``/``ndarray`` methods +* `#19142 <https://github.com/numpy/numpy/pull/19142>`__: BUG: expose ``short_version`` as previously in version.py +* `#19151 <https://github.com/numpy/numpy/pull/19151>`__: ENH: Vectorising np.linalg.qr +* `#19165 <https://github.com/numpy/numpy/pull/19165>`__: DOC: Explicitly mention that ``searchsorted`` returns an integer... +* `#19167 <https://github.com/numpy/numpy/pull/19167>`__: ENH: Improve readibility of error message in terminal. +* `#19170 <https://github.com/numpy/numpy/pull/19170>`__: API: Delay string and number promotion deprecation/future warning +* `#19172 <https://github.com/numpy/numpy/pull/19172>`__: BUG: Fixed an issue wherein ``_GenericAlias`` could raise for non-iterable... +* `#19173 <https://github.com/numpy/numpy/pull/19173>`__: ENH: Add support for copy modes to NumPy +* `#19174 <https://github.com/numpy/numpy/pull/19174>`__: MAINT, BUG: Adapt ``castingimpl.casting`` to denote a minimal level +* `#19176 <https://github.com/numpy/numpy/pull/19176>`__: REV,BUG: Replace ``NotImplemented`` with ``typing.Any`` +* `#19177 <https://github.com/numpy/numpy/pull/19177>`__: BUG: Add ``-std=c99`` to intel icc compiler flags on linux +* `#19179 <https://github.com/numpy/numpy/pull/19179>`__: ENH: Add annotations for ``np.testing`` +* `#19181 <https://github.com/numpy/numpy/pull/19181>`__: MAINT: Bump pytest-cov from 2.12.0 to 2.12.1 +* `#19182 <https://github.com/numpy/numpy/pull/19182>`__: MAINT: Bump hypothesis from 6.13.10 to 6.13.14 +* `#19185 <https://github.com/numpy/numpy/pull/19185>`__: DOC: Crosslinking to Gitpod guide +* `#19186 <https://github.com/numpy/numpy/pull/19186>`__: DOC: ndindex class docstrings fix +* `#19188 <https://github.com/numpy/numpy/pull/19188>`__: NEP: Accept NEP 35 (``like=`` keyword for array creation) as final +* `#19195 <https://github.com/numpy/numpy/pull/19195>`__: DOC: Link issue label +* `#19196 <https://github.com/numpy/numpy/pull/19196>`__: DOC: update references to other repos head branch to 'main' +* `#19200 <https://github.com/numpy/numpy/pull/19200>`__: DOC: NeighborhoodIterator position on creation +* `#19202 <https://github.com/numpy/numpy/pull/19202>`__: BUG: Fix out-of-bounds access in convert_datetime_divisor_to_multiple +* `#19209 <https://github.com/numpy/numpy/pull/19209>`__: TST: Ignore exp FP exceptions test for glibc ver < 2.17 +* `#19211 <https://github.com/numpy/numpy/pull/19211>`__: ENH: Adding keepdims to np.argmin,np.argmax +* `#19212 <https://github.com/numpy/numpy/pull/19212>`__: MAINT: Add annotations for the missing ``period`` parameter to... +* `#19214 <https://github.com/numpy/numpy/pull/19214>`__: ENH: Support major version larger than 9 in ``NumpyVersion`` +* `#19218 <https://github.com/numpy/numpy/pull/19218>`__: MAINT: Add ``complex`` as allowed type for the ``np.complexfloating``... +* `#19223 <https://github.com/numpy/numpy/pull/19223>`__: ENH: Add annotations for ``np.pad`` +* `#19224 <https://github.com/numpy/numpy/pull/19224>`__: MAINT: Remove python 2 specific string comparison code +* `#19225 <https://github.com/numpy/numpy/pull/19225>`__: DOC: Fix some inconsistencies in the docstring of matrix_rank +* `#19227 <https://github.com/numpy/numpy/pull/19227>`__: ENH: Add annotations to ``np.core.multiarray`` part 2/4 +* `#19228 <https://github.com/numpy/numpy/pull/19228>`__: BUG: Invalid dtypes comparison should not raise ``TypeError`` +* `#19235 <https://github.com/numpy/numpy/pull/19235>`__: Revert "BUG: revise string_from_pyobj/try_pyarr_from_string with... +* `#19237 <https://github.com/numpy/numpy/pull/19237>`__: ENH: Add annotations to ``np.core.multiarray`` part 3/4 +* `#19241 <https://github.com/numpy/numpy/pull/19241>`__: MAINT: Bump hypothesis from 6.13.14 to 6.14.0 +* `#19242 <https://github.com/numpy/numpy/pull/19242>`__: MAINT: Bump mypy from 0.812 to 0.902 +* `#19244 <https://github.com/numpy/numpy/pull/19244>`__: BUG: Fix an issue wherein assigment to ``np.ma.masked_array`` ignores... +* `#19245 <https://github.com/numpy/numpy/pull/19245>`__: ENH: Add dtype-support to the ``np.core.shape_base`` annotations +* `#19251 <https://github.com/numpy/numpy/pull/19251>`__: BUG: revise string_from_pyobj/try_pyarr_from_string with respect... +* `#19254 <https://github.com/numpy/numpy/pull/19254>`__: MAINT: Refactor output ufunc wrapping logic +* `#19256 <https://github.com/numpy/numpy/pull/19256>`__: DOC: Fix formatting in rot90() docstring +* `#19257 <https://github.com/numpy/numpy/pull/19257>`__: MAINT: Move array-prep and type resolution to earlier +* `#19258 <https://github.com/numpy/numpy/pull/19258>`__: MAINT: Refactor and simplify the main ufunc iterator loop code +* `#19259 <https://github.com/numpy/numpy/pull/19259>`__: MAINT: Align masked with normal ufunc loops +* `#19261 <https://github.com/numpy/numpy/pull/19261>`__: ENH: Add annotations for ``np.lib.twodim_base`` +* `#19262 <https://github.com/numpy/numpy/pull/19262>`__: MAINT: Some tiny fixes and style changes in ``ufunc_object.c`` +* `#19263 <https://github.com/numpy/numpy/pull/19263>`__: STY: Small changes to the ``PyUFunc_ReduceWrapper`` +* `#19264 <https://github.com/numpy/numpy/pull/19264>`__: DOC: fix duplicate navbar in development documentation index +* `#19275 <https://github.com/numpy/numpy/pull/19275>`__: MAINT: Misc typing maintenance for ``np.dtype`` +* `#19276 <https://github.com/numpy/numpy/pull/19276>`__: BUG: Fix ``arr.flat.index`` for large arrays and big-endian machines +* `#19277 <https://github.com/numpy/numpy/pull/19277>`__: BUG: Add missing DECREF in new path +* `#19278 <https://github.com/numpy/numpy/pull/19278>`__: MAINT: Remove accidentally created directory. +* `#19281 <https://github.com/numpy/numpy/pull/19281>`__: ENH: add ``numpy.f2py.get_include`` function +* `#19284 <https://github.com/numpy/numpy/pull/19284>`__: NEP: Fixes from NEP36 feedback +* `#19285 <https://github.com/numpy/numpy/pull/19285>`__: MAINT: Use Ubuntu focal for travis-ci builds. +* `#19286 <https://github.com/numpy/numpy/pull/19286>`__: ENH: Add annotations for ``np.lib.type_check`` +* `#19289 <https://github.com/numpy/numpy/pull/19289>`__: BUG: Fix reference count leak in ufunc dtype handling +* `#19290 <https://github.com/numpy/numpy/pull/19290>`__: DOC: Unpin pydata sphinx theme and update config to avoid long... +* `#19292 <https://github.com/numpy/numpy/pull/19292>`__: MAINT: Add lightweight identity-hash map +* `#19293 <https://github.com/numpy/numpy/pull/19293>`__: MAINT: Add simple tuple creation helper and use it +* `#19295 <https://github.com/numpy/numpy/pull/19295>`__: DOC: Add ``versionadded`` directives to ``numpy.typing`` +* `#19298 <https://github.com/numpy/numpy/pull/19298>`__: DOC: Add documentation for ``np.ctypeslib.c_intp`` +* `#19301 <https://github.com/numpy/numpy/pull/19301>`__: BUG: Do not raise deprecation warning for all nans in unique +* `#19306 <https://github.com/numpy/numpy/pull/19306>`__: DOC: Fix some docstrings that crash pdf generation. +* `#19314 <https://github.com/numpy/numpy/pull/19314>`__: MAINT: bump scipy-mathjax +* `#19316 <https://github.com/numpy/numpy/pull/19316>`__: BUG: Fix warning problems of the mod operator +* `#19317 <https://github.com/numpy/numpy/pull/19317>`__: MAINT: Clean up multiarray interned strings +* `#19320 <https://github.com/numpy/numpy/pull/19320>`__: REL: Update main after 1.21.0 release. +* `#19322 <https://github.com/numpy/numpy/pull/19322>`__: BUG: Fix cast safety and comparisons for zero sized voids +* `#19323 <https://github.com/numpy/numpy/pull/19323>`__: BUG: Correct Cython declaration in random +* `#19326 <https://github.com/numpy/numpy/pull/19326>`__: BUG: protect against accessing base attribute of a NULL subarray +* `#19328 <https://github.com/numpy/numpy/pull/19328>`__: MAINT: Replace ``"dtype[Any]"`` with ``dtype`` in the definiton of... +* `#19329 <https://github.com/numpy/numpy/pull/19329>`__: ENH Add a conda-based CI job on azure. +* `#19338 <https://github.com/numpy/numpy/pull/19338>`__: DOC: Removed duplicate instructions for building docs from ``dev/index``... +* `#19344 <https://github.com/numpy/numpy/pull/19344>`__: MAINT: Annotate missing attributes of ``np.number`` subclasses +* `#19355 <https://github.com/numpy/numpy/pull/19355>`__: ENH: Adding ``bit_count`` (popcount) +* `#19356 <https://github.com/numpy/numpy/pull/19356>`__: API: Ensure np.vectorize outputs can be subclasses. +* `#19359 <https://github.com/numpy/numpy/pull/19359>`__: ENH: Add annotations for ``np.f2py`` +* `#19360 <https://github.com/numpy/numpy/pull/19360>`__: MAINT: remove ``print()``'s in distutils template handling +* `#19361 <https://github.com/numpy/numpy/pull/19361>`__: ENH: Use literals for annotating ``int``- & ``str``-based constants +* `#19362 <https://github.com/numpy/numpy/pull/19362>`__: BUG, SIMD: Fix detecting AVX512 features on Darwin +* `#19368 <https://github.com/numpy/numpy/pull/19368>`__: MAINT: Bump mypy from 0.902 to 0.910 +* `#19369 <https://github.com/numpy/numpy/pull/19369>`__: DOC: Moved VQ example & target from duplicate array broadcasting... +* `#19370 <https://github.com/numpy/numpy/pull/19370>`__: MAINT: Move masked strided/inner-loop code to its "final" place +* `#19371 <https://github.com/numpy/numpy/pull/19371>`__: MAINT: Use cast-is-view flag for the ufunc trivial-loop check +* `#19378 <https://github.com/numpy/numpy/pull/19378>`__: DOC: fix remaining np.min/np.max usages +* `#19380 <https://github.com/numpy/numpy/pull/19380>`__: BUG: Fix NULL special case in object-to-any cast code +* `#19381 <https://github.com/numpy/numpy/pull/19381>`__: MAINT: Modify initialization order during multiarray import +* `#19393 <https://github.com/numpy/numpy/pull/19393>`__: MAINT: fix overly broad exception handling listed in LGTM +* `#19394 <https://github.com/numpy/numpy/pull/19394>`__: BUG, SIMD: Fix infinite loop during count non-zero on GCC-11 +* `#19396 <https://github.com/numpy/numpy/pull/19396>`__: BUG: fix a numpy.npiter leak in npyiter_multi_index_set +* `#19402 <https://github.com/numpy/numpy/pull/19402>`__: DOC: typo fix +* `#19403 <https://github.com/numpy/numpy/pull/19403>`__: BUG: Fix memory leak in function npyiter_multi_index_set +* `#19404 <https://github.com/numpy/numpy/pull/19404>`__: NEP: update NEP with the PyDataMem_Handler struct as implemented... +* `#19407 <https://github.com/numpy/numpy/pull/19407>`__: DOC: Rearranged parts of the Indexing docs to consolidate content +* `#19408 <https://github.com/numpy/numpy/pull/19408>`__: ENH: Add annotations for misc python-based functions +* `#19409 <https://github.com/numpy/numpy/pull/19409>`__: BUG: fix some memory leaks in ufunc_object +* `#19412 <https://github.com/numpy/numpy/pull/19412>`__: MAINT: Bump sphinx from 4.0.1 to 4.0.3 +* `#19413 <https://github.com/numpy/numpy/pull/19413>`__: MAINT: Bump hypothesis from 6.14.0 to 6.14.1 +* `#19416 <https://github.com/numpy/numpy/pull/19416>`__: DOC: Remove duplicate information about governance +* `#19418 <https://github.com/numpy/numpy/pull/19418>`__: DOC: Removing tutorials from sphinx documentation +* `#19419 <https://github.com/numpy/numpy/pull/19419>`__: BUG: fix f2py markinnerspace for multiple quotations +* `#19421 <https://github.com/numpy/numpy/pull/19421>`__: ENH: Add annotations for ``np.core.getlimits`` +* `#19422 <https://github.com/numpy/numpy/pull/19422>`__: DOC: Additional ideas related to numpy-tutorials integration +* `#19423 <https://github.com/numpy/numpy/pull/19423>`__: Skip finite recursion and refcounting tests for pyston +* `#19426 <https://github.com/numpy/numpy/pull/19426>`__: MAINT: Use arm64-graviton2 for testing on travis +* `#19429 <https://github.com/numpy/numpy/pull/19429>`__: BUG: Fix some multiarray leaks +* `#19431 <https://github.com/numpy/numpy/pull/19431>`__: MAINT: Delete old SSE2 ``absolute`` implementation +* `#19434 <https://github.com/numpy/numpy/pull/19434>`__: MAINT: Fix the module of ``flagsobj`` +* `#19436 <https://github.com/numpy/numpy/pull/19436>`__: ENH: Improve the annotations of ``flagsobj`` +* `#19440 <https://github.com/numpy/numpy/pull/19440>`__: MAINT: factored out _PyArray_ArgMinMaxCommon +* `#19442 <https://github.com/numpy/numpy/pull/19442>`__: MAINT: Use "with open(...)" +* `#19444 <https://github.com/numpy/numpy/pull/19444>`__: ENH: Add annotations for ``np.lib.shape_base`` +* `#19445 <https://github.com/numpy/numpy/pull/19445>`__: DOC: broadcast_to() supports int as shape parameter +* `#19446 <https://github.com/numpy/numpy/pull/19446>`__: MAINT: Start testing with Python 3.10.0b3. +* `#19447 <https://github.com/numpy/numpy/pull/19447>`__: DOC: BLAS/LAPACK linking rules +* `#19450 <https://github.com/numpy/numpy/pull/19450>`__: TST: Simplify property-based test +* `#19451 <https://github.com/numpy/numpy/pull/19451>`__: BUG: Make openblas_support support ILP64 on Windows. +* `#19456 <https://github.com/numpy/numpy/pull/19456>`__: TST: Fix a ``GenericAlias`` test failure for python 3.9.0 +* `#19458 <https://github.com/numpy/numpy/pull/19458>`__: MAINT: Avoid unicode characters in division SIMD code comments +* `#19459 <https://github.com/numpy/numpy/pull/19459>`__: ENH: Add the ``axis`` and ``ndim`` attributes to ``np.AxisError`` +* `#19460 <https://github.com/numpy/numpy/pull/19460>`__: MAINT: Bump sphinx from 4.0.3 to 4.1.0 +* `#19461 <https://github.com/numpy/numpy/pull/19461>`__: MAINT: Bump hypothesis from 6.14.1 to 6.14.2 +* `#19462 <https://github.com/numpy/numpy/pull/19462>`__: BUILD: move to OpenBLAS 0.3.16 +* `#19463 <https://github.com/numpy/numpy/pull/19463>`__: MAINT: Use straight arm64 in TravisCI. +* `#19468 <https://github.com/numpy/numpy/pull/19468>`__: MAINT: Add missing ``dtype`` overloads for object- and ctypes-based... +* `#19475 <https://github.com/numpy/numpy/pull/19475>`__: DOC: Fix see also references in ``numpy.resize`` +* `#19478 <https://github.com/numpy/numpy/pull/19478>`__: ENH: Vectorizing umath module using AVX-512 (open sourced from... +* `#19479 <https://github.com/numpy/numpy/pull/19479>`__: BLD: Add clang ``-ftrapping-math`` also for ``compiler_so`` +* `#19483 <https://github.com/numpy/numpy/pull/19483>`__: MAINT: Update for using ``openblas64_``. +* `#19485 <https://github.com/numpy/numpy/pull/19485>`__: TST/BENCH: Adding test coverage and benchmarks for floating point... +* `#19486 <https://github.com/numpy/numpy/pull/19486>`__: DOC: Add link to NumPy PDF docs +* `#19491 <https://github.com/numpy/numpy/pull/19491>`__: MAINT: Disable test_blas64_dot. +* `#19492 <https://github.com/numpy/numpy/pull/19492>`__: BUILD: update OpenBLAS to v0.3.17 +* `#19493 <https://github.com/numpy/numpy/pull/19493>`__: TST: generalise ``clip`` test +* `#19498 <https://github.com/numpy/numpy/pull/19498>`__: MAINT: Update manylinux ci test to manylinux2014 +* `#19506 <https://github.com/numpy/numpy/pull/19506>`__: DOC: Fix typos +* `#19512 <https://github.com/numpy/numpy/pull/19512>`__: REL: Update main after 1.21.1 release. +* `#19513 <https://github.com/numpy/numpy/pull/19513>`__: ENH: Add support for windows on arm targets +* `#19516 <https://github.com/numpy/numpy/pull/19516>`__: DOC: Created fundamentals doc for explanations in ``ufunc`` reference... +* `#19517 <https://github.com/numpy/numpy/pull/19517>`__: MAINT: Bump sphinx from 4.1.0 to 4.1.1 +* `#19518 <https://github.com/numpy/numpy/pull/19518>`__: MAINT: Bump hypothesis from 6.14.2 to 6.14.3 +* `#19519 <https://github.com/numpy/numpy/pull/19519>`__: MAINT: Bump cython from 0.29.23 to 0.29.24 +* `#19525 <https://github.com/numpy/numpy/pull/19525>`__: TST: Test that ``numpy.typing`` can be imported in the absence... +* `#19526 <https://github.com/numpy/numpy/pull/19526>`__: MAINT: bump Sphinx in environment.yml file +* `#19527 <https://github.com/numpy/numpy/pull/19527>`__: BLD: Add LoongArch support +* `#19529 <https://github.com/numpy/numpy/pull/19529>`__: SIMD: Force inlining all functions that accept AVX registers +* `#19534 <https://github.com/numpy/numpy/pull/19534>`__: BLD: Tell fortran compiler Cygwin doesn't support rpath. +* `#19535 <https://github.com/numpy/numpy/pull/19535>`__: TST: Add Cygwin to the x86 feature tests. +* `#19538 <https://github.com/numpy/numpy/pull/19538>`__: DOC: Fix typo in PCG64 +* `#19539 <https://github.com/numpy/numpy/pull/19539>`__: DEP: Remove deprecated numeric style dtype strings +* `#19540 <https://github.com/numpy/numpy/pull/19540>`__: MAINT: Update the ``np.finfo`` annotations +* `#19542 <https://github.com/numpy/numpy/pull/19542>`__: TST: Parametrize a few more tests. +* `#19543 <https://github.com/numpy/numpy/pull/19543>`__: MAINT: Improve the ``np.core.numerictypes`` stubs +* `#19545 <https://github.com/numpy/numpy/pull/19545>`__: DOC: Add clarification +* `#19546 <https://github.com/numpy/numpy/pull/19546>`__: DOC: Add link and explanation of ``_add_newdocs`` to developer... +* `#19547 <https://github.com/numpy/numpy/pull/19547>`__: BLD: Use cygpath utility for path conversion in cyg2win32 +* `#19554 <https://github.com/numpy/numpy/pull/19554>`__: MAINT: add missing dunder method to nditer type hints +* `#19557 <https://github.com/numpy/numpy/pull/19557>`__: DOC: clarify doc re: unsupported keys in savez. +* `#19559 <https://github.com/numpy/numpy/pull/19559>`__: ENH: Add annotations for ``__path__`` and ``PytestTester`` +* `#19560 <https://github.com/numpy/numpy/pull/19560>`__: TST: Bump the GitHub actions python 3.10 version +* `#19561 <https://github.com/numpy/numpy/pull/19561>`__: DOC: Remove explicit parameter sparse=False in meshgrid() indexing... +* `#19563 <https://github.com/numpy/numpy/pull/19563>`__: MAINT: Bump hypothesis from 6.14.3 to 6.14.4 +* `#19564 <https://github.com/numpy/numpy/pull/19564>`__: TST: Add "Scaled float" custom DType for testng +* `#19565 <https://github.com/numpy/numpy/pull/19565>`__: DOC: Fix sphinx warnings in c-info.beyond-basics.rst +* `#19566 <https://github.com/numpy/numpy/pull/19566>`__: DOC: Remove ``dot`` docstring in numpy/core/_add_newdocs.py +* `#19567 <https://github.com/numpy/numpy/pull/19567>`__: DOC: Fix Unknown section warning when building docs +* `#19568 <https://github.com/numpy/numpy/pull/19568>`__: BUG: Seed random state in test_vonmises_large_kappa_range. +* `#19571 <https://github.com/numpy/numpy/pull/19571>`__: MAINT: Refactor UFunc core to use NEP 43 style dispatching +* `#19572 <https://github.com/numpy/numpy/pull/19572>`__: MAINT: Cleanup unused function _move_axis_to_0 +* `#19576 <https://github.com/numpy/numpy/pull/19576>`__: MAINT: Make Python3.8 the default for CI testing. +* `#19578 <https://github.com/numpy/numpy/pull/19578>`__: TST: Add basic tests for custom DType (scaled float) ufuncs +* `#19580 <https://github.com/numpy/numpy/pull/19580>`__: ENH: Add basic promoter capability to ufunc dispatching +* `#19582 <https://github.com/numpy/numpy/pull/19582>`__: BLD: load extra flags when checking for libflame +* `#19587 <https://github.com/numpy/numpy/pull/19587>`__: MAINT: Refactor DType slots into an opaque, allocated struct +* `#19590 <https://github.com/numpy/numpy/pull/19590>`__: DOC Fix sphinx warnings related to scope of c:macro. +* `#19593 <https://github.com/numpy/numpy/pull/19593>`__: DOC,MAINT: Update wording surrounding ``fname`` parameter for loadtxt/genfromtxt +* `#19595 <https://github.com/numpy/numpy/pull/19595>`__: MAINT: Bump sphinx from 4.1.1 to 4.1.2 +* `#19596 <https://github.com/numpy/numpy/pull/19596>`__: MAINT: Bump hypothesis from 6.14.4 to 6.14.5 +* `#19598 <https://github.com/numpy/numpy/pull/19598>`__: PERF: Speed-up common case of loadtxt()ing non-hex floats. +* `#19599 <https://github.com/numpy/numpy/pull/19599>`__: PERF: Avoid using ``@recursive``. +* `#19600 <https://github.com/numpy/numpy/pull/19600>`__: BUG: Fix bad write in masked iterator output copy paths +* `#19601 <https://github.com/numpy/numpy/pull/19601>`__: PERF: Speedup comments handling in loadtxt. +* `#19605 <https://github.com/numpy/numpy/pull/19605>`__: DEV: Update default Python in benchmark config. +* `#19607 <https://github.com/numpy/numpy/pull/19607>`__: BUG: Fix NaT handling in the PyArray_CompareFunc for datetime... +* `#19608 <https://github.com/numpy/numpy/pull/19608>`__: PERF: Specialize loadtxt packer for uniform-dtype data. +* `#19609 <https://github.com/numpy/numpy/pull/19609>`__: PERF: In loadtxt, decide once and for all whether decoding is... +* `#19610 <https://github.com/numpy/numpy/pull/19610>`__: PERF: Special-case single-converter in loadtxt. +* `#19612 <https://github.com/numpy/numpy/pull/19612>`__: TST: Bump the python 3.10 test version from beta4 to rc1 +* `#19613 <https://github.com/numpy/numpy/pull/19613>`__: DOC: isclose accepts boolean input +* `#19615 <https://github.com/numpy/numpy/pull/19615>`__: MAINT: Proposal to expire three deprecated functions in numpy.lib.npyio +* `#19616 <https://github.com/numpy/numpy/pull/19616>`__: MAINT: In loadtxt, refactor detection of the number of columns. +* `#19618 <https://github.com/numpy/numpy/pull/19618>`__: MAINT: Optimize loadtxt usecols. +* `#19619 <https://github.com/numpy/numpy/pull/19619>`__: MAINT: Include .coveragerc in source distributions to support... +* `#19620 <https://github.com/numpy/numpy/pull/19620>`__: PERF: Simplify some of loadtxt's standard converters. +* `#19621 <https://github.com/numpy/numpy/pull/19621>`__: BUG: The normal cast-safety for ufunc loops is "no" casting +* `#19622 <https://github.com/numpy/numpy/pull/19622>`__: MAINT: Skip a type check in loadtxt when using user converters. +* `#19627 <https://github.com/numpy/numpy/pull/19627>`__: BUG: Ignore whitespaces while parsing gufunc signatures +* `#19628 <https://github.com/numpy/numpy/pull/19628>`__: TST: avoid distutils.sysconfig in runtests.py +* `#19632 <https://github.com/numpy/numpy/pull/19632>`__: BUG,DEP: Non-default UFunc signature/dtype usage should be deprecated +* `#19633 <https://github.com/numpy/numpy/pull/19633>`__: MAINT: Bump hypothesis from 6.14.5 to 6.14.6 +* `#19638 <https://github.com/numpy/numpy/pull/19638>`__: MAINT: Remove import time compile +* `#19639 <https://github.com/numpy/numpy/pull/19639>`__: MAINT: Update Cython version for Python 3.10. +* `#19640 <https://github.com/numpy/numpy/pull/19640>`__: BUG: Remove logical object ufuncs with bool output +* `#19642 <https://github.com/numpy/numpy/pull/19642>`__: BLD, SIMD: Fix testing extra checks when ``-Werror`` isn't applicable... +* `#19645 <https://github.com/numpy/numpy/pull/19645>`__: DOC: Reorganized the documentation contribution docs +* `#19654 <https://github.com/numpy/numpy/pull/19654>`__: BUG: add base to templated arguments for platlib +* `#19663 <https://github.com/numpy/numpy/pull/19663>`__: NEP: add qualifier for free(), mention ContextVar +* `#19665 <https://github.com/numpy/numpy/pull/19665>`__: MAINT: Drop Python3.7 from supported versions. +* `#19667 <https://github.com/numpy/numpy/pull/19667>`__: ENH: Add annotations for ``np.lib.npyio`` +* `#19672 <https://github.com/numpy/numpy/pull/19672>`__: BLD: update circleCI docker image +* `#19678 <https://github.com/numpy/numpy/pull/19678>`__: REL: Update main after 1.21.2 release. +* `#19680 <https://github.com/numpy/numpy/pull/19680>`__: ENH: Allow ``np.fromregex`` to accept ``os.PathLike`` implementations +* `#19681 <https://github.com/numpy/numpy/pull/19681>`__: MAINT: Update wheel requirement from <0.36.3 to <0.37.1 +* `#19682 <https://github.com/numpy/numpy/pull/19682>`__: MAINT: Bump hypothesis from 6.14.6 to 6.14.7 +* `#19683 <https://github.com/numpy/numpy/pull/19683>`__: ENH: Add annotations for ``np.lib.stride_tricks`` +* `#19686 <https://github.com/numpy/numpy/pull/19686>`__: ENH: Add spaces after punctuation in dtype repr/str. +* `#19692 <https://github.com/numpy/numpy/pull/19692>`__: DOC: Fix trivial doc typo. +* `#19693 <https://github.com/numpy/numpy/pull/19693>`__: MAINT: In loadtxt, inline read_data. +* `#19695 <https://github.com/numpy/numpy/pull/19695>`__: DOC: Fix typo in ``unwrap`` docstring. +* `#19698 <https://github.com/numpy/numpy/pull/19698>`__: DOC: fix typo in example +* `#19702 <https://github.com/numpy/numpy/pull/19702>`__: MAINT: Replace deprecated unittest aliases +* `#19713 <https://github.com/numpy/numpy/pull/19713>`__: MAINT: Replace numpy custom generation engine by raw C++ +* `#19714 <https://github.com/numpy/numpy/pull/19714>`__: MAINT: Remove redundant Python2 float/int conversions +* `#19715 <https://github.com/numpy/numpy/pull/19715>`__: BUG: Casting ``bool_`` to float16 +* `#19725 <https://github.com/numpy/numpy/pull/19725>`__: MAINT: Use a contextmanager to ensure loadtxt closes the input... +* `#19727 <https://github.com/numpy/numpy/pull/19727>`__: DOC: fix basics.creation.rst to address issue 19726 +* `#19730 <https://github.com/numpy/numpy/pull/19730>`__: BUG: Fix reference leak of capi_tmp in f2py/cb_rules.py +* `#19731 <https://github.com/numpy/numpy/pull/19731>`__: BUG: fix time cast-safety for ``factor*unit`` e.g. in ``10**6*ms``... +* `#19732 <https://github.com/numpy/numpy/pull/19732>`__: MAINT: Spelling fixes in documentation +* `#19733 <https://github.com/numpy/numpy/pull/19733>`__: DOC: add citation file for GitHub support +* `#19736 <https://github.com/numpy/numpy/pull/19736>`__: BUG: Fix passing a MaskedArray instance to ``MaskedArray.__setitem__`` +* `#19738 <https://github.com/numpy/numpy/pull/19738>`__: MAINT: Bump hypothesis from 6.14.7 to 6.15.0 +* `#19739 <https://github.com/numpy/numpy/pull/19739>`__: NEP: Update NEP 47: Adopting the array API standard +* `#19742 <https://github.com/numpy/numpy/pull/19742>`__: MAINT: Remove redundant test. +* `#19743 <https://github.com/numpy/numpy/pull/19743>`__: MAINT: Avoid use of confusing compat aliases. +* `#19747 <https://github.com/numpy/numpy/pull/19747>`__: MAINT: Update README.md with badges +* `#19754 <https://github.com/numpy/numpy/pull/19754>`__: ENH: Add clang-format file +* `#19758 <https://github.com/numpy/numpy/pull/19758>`__: MAINT: Remove redundant semicolon +* `#19764 <https://github.com/numpy/numpy/pull/19764>`__: BUG: np.around fails when using doctest +* `#19766 <https://github.com/numpy/numpy/pull/19766>`__: BUG: Remove np.around's footnote [2] +* `#19775 <https://github.com/numpy/numpy/pull/19775>`__: MAINT,DOC: Readability improvements and cleanup for f2py +* `#19776 <https://github.com/numpy/numpy/pull/19776>`__: DOC: Add explanation of a sparse mesh grid +* `#19781 <https://github.com/numpy/numpy/pull/19781>`__: MAINT: refactor "for ... in range(len(" statements +* `#19784 <https://github.com/numpy/numpy/pull/19784>`__: MAINT: Remove typing code-paths specific to Python 3.7 +* `#19789 <https://github.com/numpy/numpy/pull/19789>`__: MAINT: Bump hypothesis from 6.15.0 to 6.17.3 +* `#19791 <https://github.com/numpy/numpy/pull/19791>`__: DOC: Created an explanation document for copies and views +* `#19799 <https://github.com/numpy/numpy/pull/19799>`__: TST: Drop typing-extensions from test_requirements.txt +* `#19800 <https://github.com/numpy/numpy/pull/19800>`__: ENH: Add entry point for Array API implementation +* `#19802 <https://github.com/numpy/numpy/pull/19802>`__: STY: Use the new PEP 457 positional-only syntax for typing +* `#19803 <https://github.com/numpy/numpy/pull/19803>`__: ENH: Add ``is_integer`` to ``np.floating`` & ``np.integer`` +* `#19805 <https://github.com/numpy/numpy/pull/19805>`__: ENH: Symbolic solver for dimension specifications. +* `#19809 <https://github.com/numpy/numpy/pull/19809>`__: MAINT: Fix compiler warnings generated by convert_datatype.h. +* `#19810 <https://github.com/numpy/numpy/pull/19810>`__: MAINT: Minor include rationalizations. +* `#19811 <https://github.com/numpy/numpy/pull/19811>`__: DEP: Deprecate quote_args (from numpy.distutils.misc_util) +* `#19813 <https://github.com/numpy/numpy/pull/19813>`__: DOC: Fix import of default_rng +* `#19814 <https://github.com/numpy/numpy/pull/19814>`__: ENH: Replaced markdown issue templates with issue forms +* `#19815 <https://github.com/numpy/numpy/pull/19815>`__: MAINT: revise OSError aliases (IOError, EnvironmentError) +* `#19817 <https://github.com/numpy/numpy/pull/19817>`__: ENH: Use custom file-like protocols instead of ``typing.IO`` +* `#19818 <https://github.com/numpy/numpy/pull/19818>`__: MAINT: fix unhashable instance and potential exception identified... +* `#19819 <https://github.com/numpy/numpy/pull/19819>`__: MAINT: mark _version.py as generated +* `#19821 <https://github.com/numpy/numpy/pull/19821>`__: BUG: Fixed an issue wherein certain ``nan<x>`` functions could... +* `#19824 <https://github.com/numpy/numpy/pull/19824>`__: MAINT: Small cleanups of includes in *.c files. +* `#19826 <https://github.com/numpy/numpy/pull/19826>`__: MAINT: Standardize guards in numpy/core/include +* `#19827 <https://github.com/numpy/numpy/pull/19827>`__: MAINT: Standardize guards in numpy/core/src/common. +* `#19829 <https://github.com/numpy/numpy/pull/19829>`__: MAINT: Standardize guards in numpy/core/src/multiarray. +* `#19837 <https://github.com/numpy/numpy/pull/19837>`__: MAINT: Bump hypothesis from 6.17.3 to 6.18.0 +* `#19838 <https://github.com/numpy/numpy/pull/19838>`__: MAINT: Bump pytest from 6.2.4 to 6.2.5 +* `#19843 <https://github.com/numpy/numpy/pull/19843>`__: TST: Fix/Improve cast nonstandard bool to numeric test +* `#19844 <https://github.com/numpy/numpy/pull/19844>`__: DOC: Added missing C-API functions +* `#19845 <https://github.com/numpy/numpy/pull/19845>`__: TST: Make nanfunc test ignore overflow instead of xfailing test +* `#19846 <https://github.com/numpy/numpy/pull/19846>`__: MAINT: Update testing to 3.10rc2 +* `#19849 <https://github.com/numpy/numpy/pull/19849>`__: DOC: Fix sentence casing in page titles +* `#19850 <https://github.com/numpy/numpy/pull/19850>`__: Replace posix specific ssize_t with py_ssize_t to compile on... +* `#19854 <https://github.com/numpy/numpy/pull/19854>`__: BUG: Fixed an issue wherein ``var`` would raise for 0d object arrays +* `#19856 <https://github.com/numpy/numpy/pull/19856>`__: MAINT: Mark type-check-only ufunc subclasses as ufunc aliases... +* `#19857 <https://github.com/numpy/numpy/pull/19857>`__: MAINT, ENH: Refactor percentile and quantile methods +* `#19862 <https://github.com/numpy/numpy/pull/19862>`__: DOC: Add BRANCH_WALKTHROUGH +* `#19863 <https://github.com/numpy/numpy/pull/19863>`__: BUG: Fix ``nanpercentile`` ignoring the dtype of all-nan arrays +* `#19864 <https://github.com/numpy/numpy/pull/19864>`__: DOC: Update RELEASE_WALKTHROUGH +* `#19865 <https://github.com/numpy/numpy/pull/19865>`__: DOC: Moved NumPy Internals to Under-the-hood documentation for... +* `#19867 <https://github.com/numpy/numpy/pull/19867>`__: MAINT: Bump hypothesis from 6.18.0 to 6.21.1 +* `#19868 <https://github.com/numpy/numpy/pull/19868>`__: MAINT: Bump sphinx from 4.1.2 to 4.2.0 +* `#19869 <https://github.com/numpy/numpy/pull/19869>`__: BUG: ensure np.median does not drop subclass for NaN result. +* `#19870 <https://github.com/numpy/numpy/pull/19870>`__: DOC: Small fixups for the release walkthrough +* `#19874 <https://github.com/numpy/numpy/pull/19874>`__: DOC: Fix typo in upcoming changes filename +* `#19879 <https://github.com/numpy/numpy/pull/19879>`__: ENH: Add ``__class_getitem__`` to ``ndarray``, ``dtype`` and ``number`` +* `#19882 <https://github.com/numpy/numpy/pull/19882>`__: MAINT: Use SHA-256 instead of SHA-1 +* `#19883 <https://github.com/numpy/numpy/pull/19883>`__: DOC: Fix the reported module names of objects in the ``numpy.typing``... +* `#19884 <https://github.com/numpy/numpy/pull/19884>`__: TST: Make this sysconfig handling a bit more portable +* `#19887 <https://github.com/numpy/numpy/pull/19887>`__: ENH: Add annotations for ``np.linalg`` +* `#19888 <https://github.com/numpy/numpy/pull/19888>`__: BUG: core: Fix *_like strides for str and bytes dtype. +* `#19890 <https://github.com/numpy/numpy/pull/19890>`__: DOC: Added hyperlink on numpy logo in README.md +* `#19893 <https://github.com/numpy/numpy/pull/19893>`__: MAINT,DOC: f2py restructring +* `#19894 <https://github.com/numpy/numpy/pull/19894>`__: ENH: Add a typing protocol for representing nested sequences +* `#19899 <https://github.com/numpy/numpy/pull/19899>`__: DOC: replace return type in np.ma.* docstring +* `#19900 <https://github.com/numpy/numpy/pull/19900>`__: DOC:Fixed refguide errors for basics.creation.rst +* `#19902 <https://github.com/numpy/numpy/pull/19902>`__: BUG,DOC: Ignore upcoming_changes from refguide +* `#19903 <https://github.com/numpy/numpy/pull/19903>`__: DOC: Fixed refguide errors for basics.broadcasting.rst +* `#19905 <https://github.com/numpy/numpy/pull/19905>`__: DOC: fix docstring formatting of polynomial fit method return... +* `#19907 <https://github.com/numpy/numpy/pull/19907>`__: MAINT: Bump hypothesis from 6.21.1 to 6.21.6 +* `#19908 <https://github.com/numpy/numpy/pull/19908>`__: BUG: Check whether an error is already set for invalid casting +* `#19909 <https://github.com/numpy/numpy/pull/19909>`__: MAINT: Re-export ``LinAlgError`` to the ``np.linalg.linalg`` stubs +* `#19911 <https://github.com/numpy/numpy/pull/19911>`__: DOC: Typos found by codespell +* `#19913 <https://github.com/numpy/numpy/pull/19913>`__: MAINT: Fix LGTM.com error: Unmatchable caret in regular expression +* `#19914 <https://github.com/numpy/numpy/pull/19914>`__: MAINT: Fix LGTM.com warning in nditer_imp.h +* `#19915 <https://github.com/numpy/numpy/pull/19915>`__: ENH: Add annotations for ``np.char`` +* `#19916 <https://github.com/numpy/numpy/pull/19916>`__: MAINT: Repair ``make_lite.py`` +* `#19917 <https://github.com/numpy/numpy/pull/19917>`__: ENH: Add annotations for ``np.lib.arraysetops`` +* `#19918 <https://github.com/numpy/numpy/pull/19918>`__: MAINT: Override the modules of ``np.char`` and ``np.rec`` functions +* `#19919 <https://github.com/numpy/numpy/pull/19919>`__: ENH: Create an experimental export of the new DType API +* `#19920 <https://github.com/numpy/numpy/pull/19920>`__: DOC: Fix typos in NEPs, found by codespell +* `#19921 <https://github.com/numpy/numpy/pull/19921>`__: DEP: Use ``delimiter`` rather than ``delimitor`` as kwarg in mrecords +* `#19925 <https://github.com/numpy/numpy/pull/19925>`__: BUG: ufunc: Fix potential memory leak. +* `#19926 <https://github.com/numpy/numpy/pull/19926>`__: BUG: Resolve Divide by Zero on Apple silicon + test failures +* `#19927 <https://github.com/numpy/numpy/pull/19927>`__: BUG: Only call the get_versions() function once on import +* `#19928 <https://github.com/numpy/numpy/pull/19928>`__: MAINT: lib: Check that the dtype given to fromregex is structured. +* `#19929 <https://github.com/numpy/numpy/pull/19929>`__: duplicate item in see also. +* `#19933 <https://github.com/numpy/numpy/pull/19933>`__: MAINT: random: Use expm1 where appropriate. +* `#19934 <https://github.com/numpy/numpy/pull/19934>`__: BUG: core: Fix memory leak in the C function boundarraymethod_repr. +* `#19936 <https://github.com/numpy/numpy/pull/19936>`__: BUG: Make sure __version__ is defined in setup mode +* `#19937 <https://github.com/numpy/numpy/pull/19937>`__: ENH: Updates to numpy.array_api +* `#19939 <https://github.com/numpy/numpy/pull/19939>`__: MAINT: Fix LGTM.com warning: Constant in conditional expression... +* `#19940 <https://github.com/numpy/numpy/pull/19940>`__: MAINT: Fix LGTM.com warning: Variable ``isrec`` defined multiple... +* `#19942 <https://github.com/numpy/numpy/pull/19942>`__: MAINT: Fix LGTM.com warning: Unreachable code +* `#19943 <https://github.com/numpy/numpy/pull/19943>`__: MAINT: Fix LGTM.com warning: Variable ``f`` defined multiple times +* `#19944 <https://github.com/numpy/numpy/pull/19944>`__: MAINT: Fix LGTM.com warning: Comparison result is always the... +* `#19946 <https://github.com/numpy/numpy/pull/19946>`__: MAINT: Fix LGTM.com warning: Comparison result is always the... +* `#19948 <https://github.com/numpy/numpy/pull/19948>`__: MAINT: Add annotations for three missing ``ndarray`` methods +* `#19949 <https://github.com/numpy/numpy/pull/19949>`__: ENH: Add annotations for ``np.rec`` +* `#19951 <https://github.com/numpy/numpy/pull/19951>`__: MAINT: Fix LGTM.com warning: Comparison is always false because... +* `#19953 <https://github.com/numpy/numpy/pull/19953>`__: ENH: Add annotations to ``np.core.multiarray`` part 4/4 +* `#19957 <https://github.com/numpy/numpy/pull/19957>`__: DOC: Add syntax highlighting, update pronouns +* `#19960 <https://github.com/numpy/numpy/pull/19960>`__: DOC: Minor syntax fix for numpydoc warnings +* `#19961 <https://github.com/numpy/numpy/pull/19961>`__: MAINT: Minor cleanups after merging gh-19805 +* `#19962 <https://github.com/numpy/numpy/pull/19962>`__: DOC: Remove overstated TDD evangelism. +* `#19963 <https://github.com/numpy/numpy/pull/19963>`__: DOC: rename ``np.lib.scimath`` to ``np.emath`` +* `#19965 <https://github.com/numpy/numpy/pull/19965>`__: MAINT: Update funding link in FUNDING.yml +* `#19967 <https://github.com/numpy/numpy/pull/19967>`__: DOC: Update basics.io.genfromtxt.rst +* `#19968 <https://github.com/numpy/numpy/pull/19968>`__: ENH: nagfor from NAG is available on Darwin +* `#19969 <https://github.com/numpy/numpy/pull/19969>`__: MAINT: Misc ``np.array_api`` annotation fixes +* `#19972 <https://github.com/numpy/numpy/pull/19972>`__: MAINT: Bump hypothesis from 6.21.6 to 6.23.0 +* `#19974 <https://github.com/numpy/numpy/pull/19974>`__: BUG: np.tan(np.inf) test failure in Apple silicon +* `#19976 <https://github.com/numpy/numpy/pull/19976>`__: DOC Remove reference to ``PyArray_MultiIter_SIZE`` +* `#19977 <https://github.com/numpy/numpy/pull/19977>`__: MAINT: clang-format for f2py +* `#19978 <https://github.com/numpy/numpy/pull/19978>`__: MAINT: Reduce DepreciationWarnings, use more data API types for... +* `#19979 <https://github.com/numpy/numpy/pull/19979>`__: ENH: Add annotations for ``np.memmap`` +* `#19980 <https://github.com/numpy/numpy/pull/19980>`__: ENH: Add the linalg extension to the array_api submodule +* `#19981 <https://github.com/numpy/numpy/pull/19981>`__: DOC: Deindent some sphinx declarations to avoid warnings. +* `#19983 <https://github.com/numpy/numpy/pull/19983>`__: DOC: Specifically mention the C99 requirement in 'Building from... +* `#19984 <https://github.com/numpy/numpy/pull/19984>`__: MAINT: Configure pytest to ignore array_api warnings. +* `#19986 <https://github.com/numpy/numpy/pull/19986>`__: MAINT: Fix LGTM.com warning: Comparison result is always the... +* `#19987 <https://github.com/numpy/numpy/pull/19987>`__: BUG: Remove double cast to char in favor of PyArray_BYTES +* `#19988 <https://github.com/numpy/numpy/pull/19988>`__: DOC: Update links to online copy of Abramowitz and Stegun. +* `#19992 <https://github.com/numpy/numpy/pull/19992>`__: ENH: nagfor - get_flags_linker_so() on darwin +* `#19995 <https://github.com/numpy/numpy/pull/19995>`__: DOC: for new_order parameter, add alias for 'native' order +* `#19997 <https://github.com/numpy/numpy/pull/19997>`__: STY: Harmonize rules with cb_rules for f2py +* `#19999 <https://github.com/numpy/numpy/pull/19999>`__: DOC: Copy-edit and fix typos. +* `#20000 <https://github.com/numpy/numpy/pull/20000>`__: BUG,DEP: Allow (arg-)partition to accept ``uint64`` indices +* `#20002 <https://github.com/numpy/numpy/pull/20002>`__: MAINT: Introduce various linting and misc fixes to ``numpy.typing`` +* `#20003 <https://github.com/numpy/numpy/pull/20003>`__: BLD: updated mypy version from 0.902 to 0.910 +* `#20004 <https://github.com/numpy/numpy/pull/20004>`__: DOC: Fix typos in the random and f2py documentation. +* `#20006 <https://github.com/numpy/numpy/pull/20006>`__: ENH: Add annotations for ``np.lib.function_base`` part 1 +* `#20007 <https://github.com/numpy/numpy/pull/20007>`__: MAINT: Removed the ``cdoc`` directory +* `#20008 <https://github.com/numpy/numpy/pull/20008>`__: BUG: Fix the ``lib.function_base`` window functions ignoring extended... +* `#20010 <https://github.com/numpy/numpy/pull/20010>`__: MAINT: correct linker flags for NAG Fortran compiler +* `#20015 <https://github.com/numpy/numpy/pull/20015>`__: DOC: np.select: use an example that also shows default value +* `#20016 <https://github.com/numpy/numpy/pull/20016>`__: BUG: Add a warning for user dtypes modifying casts after use +* `#20018 <https://github.com/numpy/numpy/pull/20018>`__: ENH: core: More informative error message for broadcast(*args) +* `#20019 <https://github.com/numpy/numpy/pull/20019>`__: MAINT:redundant 'else' statement with 'for' loop#19077 +* `#20026 <https://github.com/numpy/numpy/pull/20026>`__: MAINT: Test PyPy3.8 +* `#20027 <https://github.com/numpy/numpy/pull/20027>`__: ENH: Add missing parameters to the ``nan<x>`` functions +* `#20029 <https://github.com/numpy/numpy/pull/20029>`__: MAINT: Bump pytz from 2021.1 to 2021.3 +* `#20031 <https://github.com/numpy/numpy/pull/20031>`__: MAINT: Bump hypothesis from 6.23.0 to 6.23.1 +* `#20032 <https://github.com/numpy/numpy/pull/20032>`__: MAINT: Bump pytest-cov from 2.12.1 to 3.0.0 +* `#20034 <https://github.com/numpy/numpy/pull/20034>`__: ENH: Add annotations for ``np.lib.function_base`` part 2/3 +* `#20036 <https://github.com/numpy/numpy/pull/20036>`__: ENH: Add annotations for ``np.lib.function_base`` part 3/3 +* `#20037 <https://github.com/numpy/numpy/pull/20037>`__: MAINT: Fixed an issue wherein ``npt._NestedSequence`` was not a... +* `#20040 <https://github.com/numpy/numpy/pull/20040>`__: TST: Add python 3.10 to the CI +* `#20047 <https://github.com/numpy/numpy/pull/20047>`__: DOC:add an example to show flag writeable cleared upon copy related... +* `#20049 <https://github.com/numpy/numpy/pull/20049>`__: BUG: Correct advance in PCG with emulated int128 +* `#20051 <https://github.com/numpy/numpy/pull/20051>`__: DOC:add-html-reference-to-some-ma-methods +* `#20057 <https://github.com/numpy/numpy/pull/20057>`__: MAINT: LGTM.com warnings +* `#20058 <https://github.com/numpy/numpy/pull/20058>`__: MAINT: update OpenBLAS to 0.3.18 +* `#20059 <https://github.com/numpy/numpy/pull/20059>`__: MAINT: LGTM.com recommendations +* `#20060 <https://github.com/numpy/numpy/pull/20060>`__: MAINT: Remove encoding declarations: ``# -*- coding: utf-8 -*-`` +* `#20061 <https://github.com/numpy/numpy/pull/20061>`__: DOC: Remove references to Python 2 +* `#20063 <https://github.com/numpy/numpy/pull/20063>`__: ENH: Add annotations for ``np.lib.histograms`` +* `#20065 <https://github.com/numpy/numpy/pull/20065>`__: ENH: Add annotations for ``np.lib.polynomial`` +* `#20066 <https://github.com/numpy/numpy/pull/20066>`__: MAINT: A few updates to the array_api +* `#20067 <https://github.com/numpy/numpy/pull/20067>`__: MAINT: Use ``Py_SET_TYPE`` macro instead of assigning to ``Py_TYPE`` +* `#20069 <https://github.com/numpy/numpy/pull/20069>`__: BUG: Add workaround for missing ufunc error propagation +* `#20071 <https://github.com/numpy/numpy/pull/20071>`__: MAINT: Remove unused imports and remove duplicated tests +* `#20076 <https://github.com/numpy/numpy/pull/20076>`__: DOC: Document the dtype comparison operations +* `#20084 <https://github.com/numpy/numpy/pull/20084>`__: MAINT: move "git submodule update" earlier in docker creation +* `#20087 <https://github.com/numpy/numpy/pull/20087>`__: BLD: fix submodule update in gitpod.Dockerfile +* `#20088 <https://github.com/numpy/numpy/pull/20088>`__: BUG: core: result_type(0, np.timedelta64(4)) would seg. fault. +* `#20091 <https://github.com/numpy/numpy/pull/20091>`__: DOC: fix typo in docstring of bitwise_or +* `#20094 <https://github.com/numpy/numpy/pull/20094>`__: BUG: AVX-512F log() overflows +* `#20096 <https://github.com/numpy/numpy/pull/20096>`__: MAINT: Bump hypothesis from 6.23.1 to 6.23.2 +* `#20097 <https://github.com/numpy/numpy/pull/20097>`__: MAINT: Bump pycodestyle from 2.7.0 to 2.8.0 +* `#20102 <https://github.com/numpy/numpy/pull/20102>`__: BLD Uses cibuildwheel for linux + osx wheels [cd build] +* `#20104 <https://github.com/numpy/numpy/pull/20104>`__: MAINT: Update F2PY documentation URL +* `#20105 <https://github.com/numpy/numpy/pull/20105>`__: ENH: Add annotations for ``np.matrix`` +* `#20111 <https://github.com/numpy/numpy/pull/20111>`__: DOC: fix minor typo in comment +* `#20115 <https://github.com/numpy/numpy/pull/20115>`__: DOC: Modify code in absolute beginners tutorial to match image +* `#20116 <https://github.com/numpy/numpy/pull/20116>`__: MAINT: Fix issue with C compiler args containing spaces +* `#20119 <https://github.com/numpy/numpy/pull/20119>`__: DOC: Remove double property ctypes from ndarray +* `#20123 <https://github.com/numpy/numpy/pull/20123>`__: DOC: Add note to iterable docstring about 0d arrays. +* `#20129 <https://github.com/numpy/numpy/pull/20129>`__: ENH: Misc typing improvements to ``np.array_api`` +* `#20130 <https://github.com/numpy/numpy/pull/20130>`__: MAINT: Bump hypothesis from 6.23.2 to 6.23.3 +* `#20134 <https://github.com/numpy/numpy/pull/20134>`__: BUG: fix win32 np.clip slowness +* `#20136 <https://github.com/numpy/numpy/pull/20136>`__: BUG: core: Fix incorrect check of NpyIter_Deallocate return value. +* `#20137 <https://github.com/numpy/numpy/pull/20137>`__: DOC:Reword array has one axis +* `#20139 <https://github.com/numpy/numpy/pull/20139>`__: MAINT,BUG: Fix ``ufunc.at`` to use new ufunc API +* `#20142 <https://github.com/numpy/numpy/pull/20142>`__: MAINT: core: Update the comment about _parse_signature with more... +* `#20146 <https://github.com/numpy/numpy/pull/20146>`__: DOC: Updated docstring for floating point rounding +* `#20149 <https://github.com/numpy/numpy/pull/20149>`__: REL: Update main after 1.21.3 release. +* `#20150 <https://github.com/numpy/numpy/pull/20150>`__: BUG: lib: Fix error raised by insert. +* `#20153 <https://github.com/numpy/numpy/pull/20153>`__: BUG, SIMD: Fix 64-bit/8-bit integer division by a scalar +* `#20154 <https://github.com/numpy/numpy/pull/20154>`__: MAINT: Add breathe to environment.yml +* `#20155 <https://github.com/numpy/numpy/pull/20155>`__: BUG: Distutils patch to allow for 2 as a minor version (!) +* `#20156 <https://github.com/numpy/numpy/pull/20156>`__: DOC: Fixed docstring for parameters 2 and -2 on linalg.cond +* `#20159 <https://github.com/numpy/numpy/pull/20159>`__: BUG: Relax homogeneous signature fallback in type resolution +* `#20162 <https://github.com/numpy/numpy/pull/20162>`__: BUG: fixes for MSVC version checks +* `#20163 <https://github.com/numpy/numpy/pull/20163>`__: ENH: Expose promoters and Common-DType API experimentally +* `#20164 <https://github.com/numpy/numpy/pull/20164>`__: MAINT: Remove useless custom tp_alloc and tp_free on ndarray +* `#20165 <https://github.com/numpy/numpy/pull/20165>`__: ENH: Add annotations for ``np.chararray`` +* `#20166 <https://github.com/numpy/numpy/pull/20166>`__: MAINT, STY: Run clang-format on cpp files and headers. +* `#20170 <https://github.com/numpy/numpy/pull/20170>`__: More informative error for unparsable version +* `#20172 <https://github.com/numpy/numpy/pull/20172>`__: Allow clib callable build flags +* `#20173 <https://github.com/numpy/numpy/pull/20173>`__: TST: Disable test_partial_iteration_cleanup on 32 bit Windows. +* `#20174 <https://github.com/numpy/numpy/pull/20174>`__: TST: xfail ``test_overrides`` when numpy is built with MKL support +* `#20179 <https://github.com/numpy/numpy/pull/20179>`__: BUG: Do not use nonzero fastpath on unaligned arrays +* `#20182 <https://github.com/numpy/numpy/pull/20182>`__: DOC, MAINT: Update build systems for f2py +* `#20183 <https://github.com/numpy/numpy/pull/20183>`__: Thin compatibility layer for C/C++ math header +* `#20184 <https://github.com/numpy/numpy/pull/20184>`__: MAINT: Miscellaneous typing cleanups +* `#20187 <https://github.com/numpy/numpy/pull/20187>`__: BUG,DOC: Resolve a refguide failure for ``ndarray.__class_getitem__`` +* `#20188 <https://github.com/numpy/numpy/pull/20188>`__: MAINT: Bump hypothesis from 6.23.3 to 6.24.0 +* `#20190 <https://github.com/numpy/numpy/pull/20190>`__: BUG: Don't pass /arch:SSE2 to MSVC when targeting x64 +* `#20194 <https://github.com/numpy/numpy/pull/20194>`__: DOC: add release note and move NEP 49 to Final +* `#20195 <https://github.com/numpy/numpy/pull/20195>`__: DOC: Two small changes in array.rst: +* `#20196 <https://github.com/numpy/numpy/pull/20196>`__: Fix minor grammar issues in docs +* `#20197 <https://github.com/numpy/numpy/pull/20197>`__: DOC, MAINT : fixing typo in numpy doc +* `#20199 <https://github.com/numpy/numpy/pull/20199>`__: ENH: Add dtype typing support to ``np.core.numeric`` +* `#20200 <https://github.com/numpy/numpy/pull/20200>`__: MAINT: Only warn for transferred ownership if env variable is... +* `#20201 <https://github.com/numpy/numpy/pull/20201>`__: DEP: Deprecate ``np.MachAr`` +* `#20205 <https://github.com/numpy/numpy/pull/20205>`__: BUG,DOC: Fix ``random.power``'s error description +* `#20206 <https://github.com/numpy/numpy/pull/20206>`__: CI: Add new workflow/action for testing universal intrinsics... +* `#20207 <https://github.com/numpy/numpy/pull/20207>`__: ENH: Add prompt for title in issue forms +* `#20213 <https://github.com/numpy/numpy/pull/20213>`__: DOC: Mention ``nan`` results in ``power`` and ``float_power``. +* `#20214 <https://github.com/numpy/numpy/pull/20214>`__: BUG: fix test c-extension compilation inside a venv +* `#20217 <https://github.com/numpy/numpy/pull/20217>`__: DOC: Add a release note for fully annotating the main numpy namespace +* `#20219 <https://github.com/numpy/numpy/pull/20219>`__: BUG, SIMD: Workaround broadcasting SIMD 64-bit integers on MSVC... +* `#20222 <https://github.com/numpy/numpy/pull/20222>`__: Run rebase on Cygwin CI +* `#20224 <https://github.com/numpy/numpy/pull/20224>`__: BUG: Fix shadowed reference of ``dtype`` in type stubs +* `#20228 <https://github.com/numpy/numpy/pull/20228>`__: MAINT: Better error message from histogram2d +* `#20230 <https://github.com/numpy/numpy/pull/20230>`__: ENH: Add annotations for ``np.ctypeslib`` +* `#20232 <https://github.com/numpy/numpy/pull/20232>`__: CI: Add new workflow for Intel SDE +* `#20234 <https://github.com/numpy/numpy/pull/20234>`__: MAINT: Update vs2017 to vs2019. +* `#20235 <https://github.com/numpy/numpy/pull/20235>`__: DOC: fix typo in example, put the return statement inside the... +* `#20237 <https://github.com/numpy/numpy/pull/20237>`__: BUG: ``VOID_nonzero`` could sometimes mutate alignment flag +* `#20238 <https://github.com/numpy/numpy/pull/20238>`__: BUG: Fix environment checking logic for ``NUMPY_WARN_IF_NO_MEM_POLICY`` +* `#20242 <https://github.com/numpy/numpy/pull/20242>`__: DOC: centralized min-max documentation +* `#20243 <https://github.com/numpy/numpy/pull/20243>`__: DOC: Fixes wording for fmod and remainder functions. +* `#20255 <https://github.com/numpy/numpy/pull/20255>`__: DOC: fix missing link in "What is NumPy?" to broadcasting +* `#20256 <https://github.com/numpy/numpy/pull/20256>`__: The module name in the reshape section of the absolute_beginners.html... +* `#20261 <https://github.com/numpy/numpy/pull/20261>`__: [DOC] Fix math block in hermmulx, lagmulx +* `#20267 <https://github.com/numpy/numpy/pull/20267>`__: Adding Examples to numpy.roll() +* `#20268 <https://github.com/numpy/numpy/pull/20268>`__: MAINT: remove Dependabot +* `#20269 <https://github.com/numpy/numpy/pull/20269>`__: MAINT: Bump hypothesis from 6.24.0 to 6.24.1 +* `#20270 <https://github.com/numpy/numpy/pull/20270>`__: BUG: Fix headers for universal2 builds +* `#20271 <https://github.com/numpy/numpy/pull/20271>`__: TST: Add a test for device property +* `#20274 <https://github.com/numpy/numpy/pull/20274>`__: TST: Some fixes & refactoring around glibc-dependent skips in... +* `#20279 <https://github.com/numpy/numpy/pull/20279>`__: ENH: Add annotations for ``np.fft`` +* `#20281 <https://github.com/numpy/numpy/pull/20281>`__: DOC: Correct grammar in isfinite docstring +* `#20282 <https://github.com/numpy/numpy/pull/20282>`__: MAINT: Fix runtests.py overriding $PYTHONPATH environment variable +* `#20283 <https://github.com/numpy/numpy/pull/20283>`__: MAINT Fix typo for event name in wheels.yml +* `#20284 <https://github.com/numpy/numpy/pull/20284>`__: BUG: Fix duplication of names in 'numpy.__all__'. +* `#20287 <https://github.com/numpy/numpy/pull/20287>`__: TST, MAINT: module name excluded in typing tests +* `#20290 <https://github.com/numpy/numpy/pull/20290>`__: DOC: Do not leave space between directive name and double colon. +* `#20292 <https://github.com/numpy/numpy/pull/20292>`__: SIMD: replace raw SIMD of ceil with universal intrinsics +* `#20299 <https://github.com/numpy/numpy/pull/20299>`__: BLD: in conda, pin setuptools to a known working version +* `#20303 <https://github.com/numpy/numpy/pull/20303>`__: BUG: Fix requirement that user DTypes had to be heaptypes +* `#20307 <https://github.com/numpy/numpy/pull/20307>`__: REL: Update main after 1.21.4 release. +* `#20308 <https://github.com/numpy/numpy/pull/20308>`__: MAINT: Add ``IS_PYSTON`` to ``np.testing.__all__`` +* `#20309 <https://github.com/numpy/numpy/pull/20309>`__: MAINT: Add annotations for a missing ``percentile`` interpolation... +* `#20310 <https://github.com/numpy/numpy/pull/20310>`__: BUG: Fix float16 einsum fastpaths using wrong tempvar +* `#20314 <https://github.com/numpy/numpy/pull/20314>`__: BUG: Get full precision for 32 bit floating point random values. +* `#20315 <https://github.com/numpy/numpy/pull/20315>`__: MAINT: Remove Python <3.8 support from C +* `#20318 <https://github.com/numpy/numpy/pull/20318>`__: MAINT: Remove codeql-analysis.yml. +* `#20325 <https://github.com/numpy/numpy/pull/20325>`__: DOC: Remove non-existent quantile ``interpolation="inclusive"``... +* `#20327 <https://github.com/numpy/numpy/pull/20327>`__: BUG,DEP: Fixup quantile/percentile and rename interpolation->method +* `#20331 <https://github.com/numpy/numpy/pull/20331>`__: MAINT: Update quantile default lerp method +* `#20333 <https://github.com/numpy/numpy/pull/20333>`__: DEP: remove code for supporting GCC <4 in Mingw32CCompiler +* `#20334 <https://github.com/numpy/numpy/pull/20334>`__: MAINT: Rename commit trigger to "wheel build" for building wheels +* `#20342 <https://github.com/numpy/numpy/pull/20342>`__: CI: Bump azure MacOS version to macOS-1015 +* `#20343 <https://github.com/numpy/numpy/pull/20343>`__: ENH: add a 'version' field to PyDataMem_Handler +* `#20344 <https://github.com/numpy/numpy/pull/20344>`__: BLD: do not position 'cxx=-std=c++11' as a default compiler flag +* `#20345 <https://github.com/numpy/numpy/pull/20345>`__: ENH: Avoid re-encapsulation of the default handler +* `#20347 <https://github.com/numpy/numpy/pull/20347>`__: MAINT: Do not forward ``__(deep)copy__`` calls of ``_GenericAlias``... +* `#20350 <https://github.com/numpy/numpy/pull/20350>`__: DOC: random: Fix a mistake in the zipf example. +* `#20352 <https://github.com/numpy/numpy/pull/20352>`__: ENH: Prefix log messages with their levels +* `#20353 <https://github.com/numpy/numpy/pull/20353>`__: BUG, DIST: Print os error message when the executable not exist +* `#20354 <https://github.com/numpy/numpy/pull/20354>`__: BLD: Verify the ability to compile C++ sources before initiating... +* `#20360 <https://github.com/numpy/numpy/pull/20360>`__: BUG: Revert from ``long double`` changes, and force ``npymath`` to... +* `#20361 <https://github.com/numpy/numpy/pull/20361>`__: MAINT: Update SVML sources to prevent an executable stack +* `#20364 <https://github.com/numpy/numpy/pull/20364>`__: BUG: Relax unary ufunc (sqrt, etc.) stride assert +* `#20365 <https://github.com/numpy/numpy/pull/20365>`__: BUG: Fix failure to create aligned, empty structured dtype +* `#20366 <https://github.com/numpy/numpy/pull/20366>`__: MAINT,TST: Avoid small positive integers in refcount test +* `#20367 <https://github.com/numpy/numpy/pull/20367>`__: ENH, SIMD: add new universal intrinsics for trunc +* `#20369 <https://github.com/numpy/numpy/pull/20369>`__: MAINT: Fix newlines in diagnostics output of numpy.f2py. +* `#20373 <https://github.com/numpy/numpy/pull/20373>`__: MAINT: Prepare for branching maintenance/1.22.x +* `#20379 <https://github.com/numpy/numpy/pull/20379>`__: DOC: Fix formatting of a code example in ``numpy.random.Generator.multivariate_normal()``... +* `#20386 <https://github.com/numpy/numpy/pull/20386>`__: REV: Add MaskedArray creation from non nd-array back in +* `#20402 <https://github.com/numpy/numpy/pull/20402>`__: BLD: Fix Macos Builds [wheel build] +* `#20410 <https://github.com/numpy/numpy/pull/20410>`__: BUG, SIMD: Fix ``exp`` FP stack overflow when ``AVX512_SKX`` is enabled +* `#20411 <https://github.com/numpy/numpy/pull/20411>`__: ENH: provide a convenience function to replace npy_load_module... +* `#20415 <https://github.com/numpy/numpy/pull/20415>`__: CI: CircleCI: Install numpy after processing doc_requirements.txt +* `#20419 <https://github.com/numpy/numpy/pull/20419>`__: MAINT: import setuptools before distutils in one np.random test +* `#20420 <https://github.com/numpy/numpy/pull/20420>`__: BUG: Clear errors correctly in F2PY conversions +* `#20429 <https://github.com/numpy/numpy/pull/20429>`__: MAINT: Fix longdouble precision check in test_umath.py +* `#20430 <https://github.com/numpy/numpy/pull/20430>`__: MAINT: Fix METH_NOARGS function signatures +* `#20436 <https://github.com/numpy/numpy/pull/20436>`__: BUG: Fix an incorrect protocol used in ``np.lib.shape_base`` diff --git a/doc/release/upcoming_changes/17530.improvement.rst b/doc/release/upcoming_changes/17530.improvement.rst deleted file mode 100644 index 07a23f0e5..000000000 --- a/doc/release/upcoming_changes/17530.improvement.rst +++ /dev/null @@ -1,5 +0,0 @@ -`ctypeslib.load_library` can now take any path-like object ------------------------------------------------------------------------ -All parameters in the can now take any :term:`python:path-like object`. -This includes the likes of strings, bytes and objects implementing the -:meth:`__fspath__<os.PathLike.__fspath__>` protocol. diff --git a/doc/release/upcoming_changes/17582.new_feature.rst b/doc/release/upcoming_changes/17582.new_feature.rst deleted file mode 100644 index c2426330c..000000000 --- a/doc/release/upcoming_changes/17582.new_feature.rst +++ /dev/null @@ -1,10 +0,0 @@ -NEP 49 configurable allocators ------------------------------- -As detailed in `NEP 49`_, the function used for allocation of the data segment -of a ndarray can be changed. The policy can be set globally or in a context. -For more information see the NEP and the :ref:`data_memory` reference docs. -Also add a ``NUMPY_WARN_IF_NO_MEM_POLICY`` override to warn on dangerous use -of transfering ownership by setting ``NPY_ARRAY_OWNDATA``. - -.. _`NEP 49`: https://numpy.org/neps/nep-0049.html - diff --git a/doc/release/upcoming_changes/18536.improvement.rst b/doc/release/upcoming_changes/18536.improvement.rst deleted file mode 100644 index 8693916db..000000000 --- a/doc/release/upcoming_changes/18536.improvement.rst +++ /dev/null @@ -1,7 +0,0 @@ -Add ``smallest_normal`` and ``smallest_subnormal`` attributes to `finfo` -------------------------------------------------------------------------- - -The attributes ``smallest_normal`` and ``smallest_subnormal`` are available as -an extension of `finfo` class for any floating-point data type. To use these -new attributes, write ``np.finfo(np.float64).smallest_normal`` or -``np.finfo(np.float64).smallest_subnormal``. diff --git a/doc/release/upcoming_changes/18585.new_feature.rst b/doc/release/upcoming_changes/18585.new_feature.rst deleted file mode 100644 index bb83d755c..000000000 --- a/doc/release/upcoming_changes/18585.new_feature.rst +++ /dev/null @@ -1,15 +0,0 @@ -Implementation of the NEP 47 (adopting the array API standard) --------------------------------------------------------------- - -An initial implementation of `NEP 47`_ (adoption the array API standard) has -been added as ``numpy.array_api``. The implementation is experimental and will -issue a UserWarning on import, as the `array API standard -<https://data-apis.org/array-api/latest/index.html>`_ is still in draft state. -``numpy.array_api`` is a conforming implementation of the array API standard, -which is also minimal, meaning that only those functions and behaviors that -are required by the standard are implemented (see the NEP for more info). -Libraries wishing to make use of the array API standard are encouraged to use -``numpy.array_api`` to check that they are only using functionality that is -guaranteed to be present in standard conforming implementations. - -.. _`NEP 47`: https://numpy.org/neps/nep-0047-array-api-standard.html diff --git a/doc/release/upcoming_changes/18884.new_feature.rst b/doc/release/upcoming_changes/18884.new_feature.rst deleted file mode 100644 index 41503b00e..000000000 --- a/doc/release/upcoming_changes/18884.new_feature.rst +++ /dev/null @@ -1,7 +0,0 @@ -Generate C/C++ API reference documentation from comments blocks is now possible -------------------------------------------------------------------------------- -This feature depends on Doxygen_ in the generation process and on Breathe_ -to integrate it with Sphinx. - -.. _`Doxygen`: https://www.doxygen.nl/index.html -.. _`Breathe`: https://breathe.readthedocs.io/en/latest/ diff --git a/doc/release/upcoming_changes/19062.new_feature.rst b/doc/release/upcoming_changes/19062.new_feature.rst deleted file mode 100644 index 171715568..000000000 --- a/doc/release/upcoming_changes/19062.new_feature.rst +++ /dev/null @@ -1,21 +0,0 @@ -Assign the platform-specific ``c_intp`` precision via a mypy plugin -------------------------------------------------------------------- - -The mypy_ plugin, introduced in `numpy/numpy#17843`_, has again been expanded: -the plugin now is now responsible for setting the platform-specific precision -of `numpy.ctypeslib.c_intp`, the latter being used as data type for various -`numpy.ndarray.ctypes` attributes. - -Without the plugin, aforementioned type will default to `ctypes.c_int64`. - -To enable the plugin, one must add it to their mypy `configuration file`_: - -.. code-block:: ini - - [mypy] - plugins = numpy.typing.mypy_plugin - - -.. _mypy: http://mypy-lang.org/ -.. _configuration file: https://mypy.readthedocs.io/en/stable/config_file.html -.. _`numpy/numpy#17843`: https://github.com/numpy/numpy/pull/17843 diff --git a/doc/release/upcoming_changes/19083.new_feature.rst b/doc/release/upcoming_changes/19083.new_feature.rst deleted file mode 100644 index 92f00c0d6..000000000 --- a/doc/release/upcoming_changes/19083.new_feature.rst +++ /dev/null @@ -1,6 +0,0 @@ -Add NEP 47-compatible dlpack support ------------------------------------- - -Add a ``ndarray.__dlpack__()`` method which returns a ``dlpack`` C structure -wrapped in a ``PyCapsule``. Also add a ``np._from_dlpack(obj)`` function, where -``obj`` supports ``__dlpack__()``, and returns an ``ndarray``. diff --git a/doc/release/upcoming_changes/19135.change.rst b/doc/release/upcoming_changes/19135.change.rst deleted file mode 100644 index 0b900a16a..000000000 --- a/doc/release/upcoming_changes/19135.change.rst +++ /dev/null @@ -1,10 +0,0 @@ -Removed floor division support for complex types ------------------------------------------------- - -Floor division of complex types will now result in a `TypeError` - -.. code-block:: python - - >>> a = np.arange(10) + 1j* np.arange(10) - >>> a // 1 - TypeError: ufunc 'floor_divide' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe'' diff --git a/doc/release/upcoming_changes/19151.improvement.rst b/doc/release/upcoming_changes/19151.improvement.rst deleted file mode 100644 index 2108b9c4f..000000000 --- a/doc/release/upcoming_changes/19151.improvement.rst +++ /dev/null @@ -1,6 +0,0 @@ -`numpy.linalg.qr` accepts stacked matrices as inputs ----------------------------------------------------- - -`numpy.linalg.qr` is able to produce results for stacked matrices as inputs. -Moreover, the implementation of QR decomposition has been shifted to C -from Python. diff --git a/doc/release/upcoming_changes/19211.new_feature.rst b/doc/release/upcoming_changes/19211.new_feature.rst deleted file mode 100644 index 40e42387c..000000000 --- a/doc/release/upcoming_changes/19211.new_feature.rst +++ /dev/null @@ -1,7 +0,0 @@ -``keepdims`` optional argument added to `numpy.argmin`, `numpy.argmax` ----------------------------------------------------------------------- - -``keepdims`` argument is added to `numpy.argmin`, `numpy.argmax`. -If set to ``True``, the axes which are reduced are left in the result as dimensions with size one. -The resulting array has the same number of dimensions and will broadcast with the -input array. diff --git a/doc/release/upcoming_changes/19259.c_api.rst b/doc/release/upcoming_changes/19259.c_api.rst deleted file mode 100644 index dac9f520a..000000000 --- a/doc/release/upcoming_changes/19259.c_api.rst +++ /dev/null @@ -1,12 +0,0 @@ -Masked inner-loops cannot be customized anymore ------------------------------------------------ -The masked inner-loop selector is now never used. A warning -will be given in the unlikely event that it was customized. - -We do not expect that any code uses this. If you do use it, -you must unset the selector on newer NumPy version. -Please also contact the NumPy developers, we do anticipate -providing a new, more specific, mechanism. - -The customization was part of a never-implemented feature to allow -for faster masked operations. diff --git a/doc/release/upcoming_changes/19355.new_feature.rst b/doc/release/upcoming_changes/19355.new_feature.rst deleted file mode 100644 index cfa50b7a1..000000000 --- a/doc/release/upcoming_changes/19355.new_feature.rst +++ /dev/null @@ -1,13 +0,0 @@ -``bit_count`` to compute the number of 1-bits in an integer ------------------------------------------------------------ - -Computes the number of 1-bits in the absolute value of the input. -This works on all the numpy integer types. Analogous to the builtin -``int.bit_count`` or ``popcount`` in C++. - -.. code-block:: python - - >>> np.uint32(1023).bit_count() - 10 - >>> np.int32(-127).bit_count() - 7 diff --git a/doc/release/upcoming_changes/19356.change.rst b/doc/release/upcoming_changes/19356.change.rst deleted file mode 100644 index 3c5ef4a91..000000000 --- a/doc/release/upcoming_changes/19356.change.rst +++ /dev/null @@ -1,7 +0,0 @@ -`numpy.vectorize` functions now produce the same output class as the base function ----------------------------------------------------------------------------------- -When a function that respects `numpy.ndarray` subclasses is vectorized using -`numpy.vectorize`, the vectorized function will now be subclass-safe -also for cases that a signature is given (i.e., when creating a ``gufunc``): -the output class will be the same as that returned by the first call to -the underlying function. diff --git a/doc/release/upcoming_changes/19459.new_feature.rst b/doc/release/upcoming_changes/19459.new_feature.rst deleted file mode 100644 index aecae670f..000000000 --- a/doc/release/upcoming_changes/19459.new_feature.rst +++ /dev/null @@ -1,4 +0,0 @@ -The ``ndim`` and ``axis`` attributes have been added to `numpy.AxisError` -------------------------------------------------------------------------- -The ``ndim`` and ``axis`` parameters are now also stored as attributes -within each `numpy.AxisError` instance. diff --git a/doc/release/upcoming_changes/19462.change.rst b/doc/release/upcoming_changes/19462.change.rst deleted file mode 100644 index 8fbadb394..000000000 --- a/doc/release/upcoming_changes/19462.change.rst +++ /dev/null @@ -1,3 +0,0 @@ -OpenBLAS v0.3.17 ----------------- -Update the OpenBLAS used in testing and in wheels to v0.3.17 diff --git a/doc/release/upcoming_changes/19478.performance.rst b/doc/release/upcoming_changes/19478.performance.rst deleted file mode 100644 index 6a389c20e..000000000 --- a/doc/release/upcoming_changes/19478.performance.rst +++ /dev/null @@ -1,11 +0,0 @@ -Vectorize umath module using AVX-512 -------------------------------------- - -By leveraging Intel Short Vector Math Library (SVML), 18 umath functions -(``exp2``, ``log2``, ``log10``, ``expm1``, ``log1p``, ``cbrt``, ``sin``, -``cos``, ``tan``, ``arcsin``, ``arccos``, ``arctan``, ``sinh``, ``cosh``, -``tanh``, ``arcsinh``, ``arccosh``, ``arctanh``) are vectorized using AVX-512 -instruction set for both single and double precision implementations. This -change is currently enabled only for Linux users and on processors with -AVX-512 instruction set. It provides an average speed up of 32x and 14x for -single and double precision functions respectively. diff --git a/doc/release/upcoming_changes/19479.compatibility.rst b/doc/release/upcoming_changes/19479.compatibility.rst deleted file mode 100644 index 83533a305..000000000 --- a/doc/release/upcoming_changes/19479.compatibility.rst +++ /dev/null @@ -1,7 +0,0 @@ -Distutils forces strict floating point model on clang ------------------------------------------------------ -NumPy now sets the ``-ftrapping-math`` option on clang to enforce correct -floating point error handling for universal functions. -Clang defaults to non-IEEE and C99 conform behaviour otherwise. -This change (using the equivalent but newer ``-ffp-exception-behavior=strict``) -was attempted in NumPy 1.21, but was effectively never used. diff --git a/doc/release/upcoming_changes/19513.new_feature.rst b/doc/release/upcoming_changes/19513.new_feature.rst deleted file mode 100644 index 5f945cea2..000000000 --- a/doc/release/upcoming_changes/19513.new_feature.rst +++ /dev/null @@ -1,4 +0,0 @@ -Preliminary support for `windows/arm64` target ----------------------------------------------- -``numpy`` added support for windows/arm64 target. Please note -``OpenBLAS`` support is not yet available for windows/arm64 target. diff --git a/doc/release/upcoming_changes/19527.new_feature.rst b/doc/release/upcoming_changes/19527.new_feature.rst deleted file mode 100644 index 3967f1841..000000000 --- a/doc/release/upcoming_changes/19527.new_feature.rst +++ /dev/null @@ -1,3 +0,0 @@ -Added support for LoongArch ------------------------------------------------- -LoongArch is a new instruction set, numpy compilation failure on LoongArch architecture, so add the commit. diff --git a/doc/release/upcoming_changes/19539.expired.rst b/doc/release/upcoming_changes/19539.expired.rst deleted file mode 100644 index 6e94f175d..000000000 --- a/doc/release/upcoming_changes/19539.expired.rst +++ /dev/null @@ -1,2 +0,0 @@ -* Using the strings ``"Bytes0"``, ``"Datetime64"``, ``"Str0"``, ``"Uint32"``, - and ``"Uint64"`` as a dtype will now raise a ``TypeError``.
\ No newline at end of file diff --git a/doc/release/upcoming_changes/19615.expired.rst b/doc/release/upcoming_changes/19615.expired.rst deleted file mode 100644 index 4e02771e3..000000000 --- a/doc/release/upcoming_changes/19615.expired.rst +++ /dev/null @@ -1,8 +0,0 @@ -Expired deprecations for ``loads``, ``ndfromtxt``, and ``mafromtxt`` in npyio ------------------------------------------------------------------------------ - -``numpy.loads`` was deprecated in v1.15, with the recommendation that users -use `pickle.loads` instead. -``ndfromtxt`` and ``mafromtxt`` were both deprecated in v1.17 - users should -use `numpy.genfromtxt` instead with the appropriate value for the -``usemask`` parameter. diff --git a/doc/release/upcoming_changes/19665.change.rst b/doc/release/upcoming_changes/19665.change.rst deleted file mode 100644 index 2c2315dd2..000000000 --- a/doc/release/upcoming_changes/19665.change.rst +++ /dev/null @@ -1,4 +0,0 @@ -Python 3.7 is no longer supported ---------------------------------- -Python support has been dropped. This is rather strict, there are -changes that require Python >=3.8. diff --git a/doc/release/upcoming_changes/19680.improvement.rst b/doc/release/upcoming_changes/19680.improvement.rst deleted file mode 100644 index 1a2a3496b..000000000 --- a/doc/release/upcoming_changes/19680.improvement.rst +++ /dev/null @@ -1,5 +0,0 @@ -`numpy.fromregex` now accepts ``os.PathLike`` implementations -------------------------------------------------------------- - -`numpy.fromregex` now accepts objects implementing the `__fspath__<os.PathLike>` -protocol, *e.g.* `pathlib.Path`. diff --git a/doc/release/upcoming_changes/19687.change.rst b/doc/release/upcoming_changes/19687.change.rst deleted file mode 100644 index c7f7512b6..000000000 --- a/doc/release/upcoming_changes/19687.change.rst +++ /dev/null @@ -1,8 +0,0 @@ -str/repr of complex dtypes now include space after punctuation --------------------------------------------------------------- - -The repr of ``np.dtype({"names": ["a"], "formats": [int], "offsets": [2]})`` is -now ``dtype({'names': ['a'], 'formats': ['<i8'], 'offsets': [2], 'itemsize': 10})``, -whereas spaces where previously omitted after colons and between fields. - -The old behavior can be restored via ``np.set_printoptions(legacy="1.21")``. diff --git a/doc/release/upcoming_changes/19754.new_feature.rst b/doc/release/upcoming_changes/19754.new_feature.rst deleted file mode 100644 index 4e91e4cb3..000000000 --- a/doc/release/upcoming_changes/19754.new_feature.rst +++ /dev/null @@ -1,7 +0,0 @@ -A ``.clang-format`` file has been added ---------------------------------------- -Clang-format is a C/C++ code formatter, together with the added -``.clang-format`` file, it produces code close enough to the NumPy -C_STYLE_GUIDE for general use. Clang-format version 12+ is required -due to the use of several new features, it is available in -Fedora 34 and Ubuntu Focal among other distributions. diff --git a/doc/release/upcoming_changes/19803.new_feature.rst b/doc/release/upcoming_changes/19803.new_feature.rst deleted file mode 100644 index 942325822..000000000 --- a/doc/release/upcoming_changes/19803.new_feature.rst +++ /dev/null @@ -1,14 +0,0 @@ -``is_integer`` is now available to `numpy.floating` and `numpy.integer` ------------------------------------------------------------------------ -Based on its counterpart in `float` and `int`, the numpy floating point and -integer types now support `~float.is_integer`. Returns ``True`` if the -number is finite with integral value, and ``False`` otherwise. - -.. code-block:: python - - >>> np.float32(-2.0).is_integer() - True - >>> np.float64(3.2).is_integer() - False - >>> np.int32(-2).is_integer() - True diff --git a/doc/release/upcoming_changes/19805.new_feature.rst b/doc/release/upcoming_changes/19805.new_feature.rst deleted file mode 100644 index f59409254..000000000 --- a/doc/release/upcoming_changes/19805.new_feature.rst +++ /dev/null @@ -1,5 +0,0 @@ -Symbolic parser for Fortran dimension specifications ----------------------------------------------------- -A new symbolic parser has been added to f2py in order to correctly parse -dimension specifications. The parser is the basis for future improvements -and provides compatibility with Draft Fortran 202x. diff --git a/doc/release/upcoming_changes/19857.improvement.rst b/doc/release/upcoming_changes/19857.improvement.rst deleted file mode 100644 index cbeff08b1..000000000 --- a/doc/release/upcoming_changes/19857.improvement.rst +++ /dev/null @@ -1,13 +0,0 @@ -Add new methods for ``quantile`` and ``percentile`` ---------------------------------------------------- - -``quantile`` and ``percentile`` now have have a ``method=`` -keyword argument supporting 13 different methods. -This replaces the ``interpolation=`` keyword argument. - -The methods are now aligned with nine methods which can be -found in scientific literature and the R language. -The remaining methods are the previous discontinuous variations -of the default "linear" one. - -Please see the documentation of `numpy.percentile` for more information. diff --git a/doc/release/upcoming_changes/19879.new_feature.rst b/doc/release/upcoming_changes/19879.new_feature.rst deleted file mode 100644 index c6624138b..000000000 --- a/doc/release/upcoming_changes/19879.new_feature.rst +++ /dev/null @@ -1,15 +0,0 @@ -``ndarray``, ``dtype`` and ``number`` are now runtime-subscriptable -------------------------------------------------------------------- -Mimicking :pep:`585`, the `~numpy.ndarray`, `~numpy.dtype` and `~numpy.number` -classes are now subscriptable for python 3.9 and later. -Consequently, expressions that were previously only allowed in .pyi stub files -or with the help of ``from __future__ import annotations`` are now also legal -during runtime. - -.. code-block:: python - - >>> import numpy as np - >>> from typing import Any - - >>> np.ndarray[Any, np.dtype[np.float64]] - numpy.ndarray[typing.Any, numpy.dtype[numpy.float64]] diff --git a/doc/release/upcoming_changes/19921.deprecation.rst b/doc/release/upcoming_changes/19921.deprecation.rst deleted file mode 100644 index 17fa0f605..000000000 --- a/doc/release/upcoming_changes/19921.deprecation.rst +++ /dev/null @@ -1,3 +0,0 @@ -* the misspelled keyword argument ``delimitor`` of - ``numpy.ma.mrecords.fromtextfile()`` has been changed into - ``delimiter``, using it will emit a deprecation warning. diff --git a/doc/release/upcoming_changes/20000.deprecation.rst b/doc/release/upcoming_changes/20000.deprecation.rst deleted file mode 100644 index e0a56cd47..000000000 --- a/doc/release/upcoming_changes/20000.deprecation.rst +++ /dev/null @@ -1,5 +0,0 @@ -Passing boolean ``kth`` values to (arg-)partition has been deprecated ---------------------------------------------------------------------- -`~numpy.partition` and `~numpy.argpartition` would previously accept boolean -values for the ``kth`` parameter, which would subsequently be converted into -integers. This behavior has now been deprecated. diff --git a/doc/release/upcoming_changes/20027.improvement.rst b/doc/release/upcoming_changes/20027.improvement.rst deleted file mode 100644 index 86b3bed74..000000000 --- a/doc/release/upcoming_changes/20027.improvement.rst +++ /dev/null @@ -1,17 +0,0 @@ -Missing parameters have been added to the ``nan<x>`` functions --------------------------------------------------------------- -A number of the ``nan<x>`` functions previously lacked parameters that were -present in their ``<x>``-based counterpart, *e.g.* the ``where`` parameter was -present in `~numpy.mean` but absent from `~numpy.nanmean`. - -The following parameters have now been added to the ``nan<x>`` functions: - -* nanmin: ``initial`` & ``where`` -* nanmax: ``initial`` & ``where`` -* nanargmin: ``keepdims`` & ``out`` -* nanargmax: ``keepdims`` & ``out`` -* nansum: ``initial`` & ``where`` -* nanprod: ``initial`` & ``where`` -* nanmean: ``where`` -* nanvar: ``where`` -* nanstd: ``where`` diff --git a/doc/release/upcoming_changes/20049.change.rst b/doc/release/upcoming_changes/20049.change.rst deleted file mode 100644 index e1f08b343..000000000 --- a/doc/release/upcoming_changes/20049.change.rst +++ /dev/null @@ -1,5 +0,0 @@ -Corrected ``advance`` in ``PCG64DSXM`` and ``PCG64`` ----------------------------------------------------- -Fixed a bug in the ``advance`` method of ``PCG64DSXM`` and ``PCG64``. The bug only -affects results when the step was larger than :math:`2^{64}` on platforms -that do not support 128-bit integers(e.g., Windows and 32-bit Linux). diff --git a/doc/release/upcoming_changes/20201.deprecation.rst b/doc/release/upcoming_changes/20201.deprecation.rst deleted file mode 100644 index db8cda21f..000000000 --- a/doc/release/upcoming_changes/20201.deprecation.rst +++ /dev/null @@ -1,5 +0,0 @@ -The ``np.MachAr`` class has been deprecated -------------------------------------------- -The `~numpy.MachAr` class and `finfo.machar <numpy.finfo>` attribute have -been deprecated. Users are encouraged to access the property if interest -directly from the corresponding `~numpy.finfo` attribute. diff --git a/doc/release/upcoming_changes/20217.improvement.rst b/doc/release/upcoming_changes/20217.improvement.rst deleted file mode 100644 index 28e5c8ff7..000000000 --- a/doc/release/upcoming_changes/20217.improvement.rst +++ /dev/null @@ -1,10 +0,0 @@ -Annotating the main Numpy namespace --------------------------------------- -Starting from the 1.20 release, PEP 484 type annotations have been included -for parts of the NumPy library; annotating the remaining functions being a -work in progress. With the release of 1.22 this process has been completed for -the main NumPy namespace, which is now fully annotated. - -Besides the main namespace, a limited number of sub-packages contain -annotations as well. This includes, among others, `numpy.testing`, -`numpy.linalg` and `numpy.random` (available since 1.21). diff --git a/doc/release/upcoming_changes/20314.change.rst b/doc/release/upcoming_changes/20314.change.rst deleted file mode 100644 index ea7e29aff..000000000 --- a/doc/release/upcoming_changes/20314.change.rst +++ /dev/null @@ -1,10 +0,0 @@ -Change in generation of random 32 bit floating point variates -------------------------------------------------------------- -There was bug in the generation of 32 bit floating point values from -the uniform distribution that would result in the least significant -bit of the random variate always being 0. This has been fixed. - -This change affects the variates produced by the `random.Generator` -methods ``random``, ``standard_normal``, ``standard_exponential``, and -``standard_gamma``, but only when the dtype is specified as -``numpy.float32``. diff --git a/doc/source/release/1.22.0-notes.rst b/doc/source/release/1.22.0-notes.rst index 0760a3dd7..f558f3ac2 100644 --- a/doc/source/release/1.22.0-notes.rst +++ b/doc/source/release/1.22.0-notes.rst @@ -3,43 +3,445 @@ ========================== NumPy 1.22.0 Release Notes ========================== +NumPy 1.22.0 is a big release featuring the work of 150 contributers spread +over 575 pull requests. There have been many improvements, highlights are: +* Annotations of the main namespace are essentially complete. Upstream is a + moving target, so there will likely be further improvements, but the major + work is done. This is probably the most user visible enhancement in this + release. +* A preliminary version of the proposed Array-API is provided. This is a step + in creating a standard collection of functions that can be used across + application such as CuPy and JAX. +* NumPy now has a DLPack backend. DLPack provides a common interchange format + for array (tensor) data. +* New methods for ``quantile``, ``percentile``, and related functions. The new + methods provide a complete set of the methods commonly found in the + literature. +* A new configurable allocator for use by downstream projects. -Highlights -========== +These are in addition to the ongoing work to provide SIMD support for commonly +used functions, improvements to F2PY, and better documentation. +The Python versions supported in this release are 3.8-3.10, Python 3.7 has been +dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on +Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other +Linux distributions dropping 32 bit support. All 64 bit wheels are also linked +with 64 bit OpenBLAS, which should fix the occasional problems encountered by +folks using truly huge arrays. -New functions -============= + +Expired deprecations +==================== + +Deprecated numeric style dtype strings have been removed +-------------------------------------------------------- +* Using the strings ``"Bytes0"``, ``"Datetime64"``, ``"Str0"``, ``"Uint32"``, + and ``"Uint64"`` as a dtype will now raise a ``TypeError``. + + (`gh-19539 <https://github.com/numpy/numpy/pull/19539>`__) + +Expired deprecations for ``loads``, ``ndfromtxt``, and ``mafromtxt`` in npyio +----------------------------------------------------------------------------- + +``numpy.loads`` was deprecated in v1.15, with the recommendation that users use +``pickle.loads`` instead. ``ndfromtxt`` and ``mafromtxt`` were both deprecated +in v1.17 - users should use ``numpy.genfromtxt`` instead with the appropriate +value for the ``usemask`` parameter. + +(`gh-19615 <https://github.com/numpy/numpy/pull/19615>`__) Deprecations ============ +Use delimiter rather than delimitor as kwarg in mrecords +-------------------------------------------------------- +The misspelled keyword argument ``delimitor`` of +``numpy.ma.mrecords.fromtextfile()`` has been changed to ``delimiter``, using +it will emit a deprecation warning. -Future Changes -============== +(`gh-19921 <https://github.com/numpy/numpy/pull/19921>`__) +Passing boolean ``kth`` values to (arg-)partition has been deprecated +--------------------------------------------------------------------- +``numpy.partition`` and ``numpy.argpartition`` would previously accept boolean +values for the ``kth`` parameter, which would subsequently be converted into +integers. This behavior has now been deprecated. -Expired deprecations -==================== +(`gh-20000 <https://github.com/numpy/numpy/pull/20000>`__) + +The ``np.MachAr`` class has been deprecated +------------------------------------------- +The ``numpy.MachAr`` class and ``finfo.machar <numpy.finfo>`` attribute have +been deprecated. Users are encouraged to access the property if interest +directly from the corresponding ``numpy.finfo`` attribute. + +(`gh-20201 <https://github.com/numpy/numpy/pull/20201>`__) Compatibility notes =================== +Distutils forces strict floating point model on clang +----------------------------------------------------- +NumPy now sets the ``-ftrapping-math`` option on clang to enforce correct +floating point error handling for universal functions. Clang defaults to +non-IEEE and C99 conform behaviour otherwise. This change (using the +equivalent but newer ``-ffp-exception-behavior=strict``) was attempted in NumPy +1.21, but was effectively never used. + +(`gh-19479 <https://github.com/numpy/numpy/pull/19479>`__) + +Removed floor division support for complex types +------------------------------------------------ +Floor division of complex types will now result in a ``TypeError`` + +.. code-block:: python + + >>> a = np.arange(10) + 1j* np.arange(10) + >>> a // 1 + TypeError: ufunc 'floor_divide' not supported for the input types... + +(`gh-19135 <https://github.com/numpy/numpy/pull/19135>`__) + +``numpy.vectorize`` functions now produce the same output class as the base function +------------------------------------------------------------------------------------ +When a function that respects ``numpy.ndarray`` subclasses is vectorized using +``numpy.vectorize``, the vectorized function will now be subclass-safe also for +cases that a signature is given (i.e., when creating a ``gufunc``): the output +class will be the same as that returned by the first call to the underlying +function. + +(`gh-19356 <https://github.com/numpy/numpy/pull/19356>`__) + +Python 3.7 is no longer supported +--------------------------------- +Python support has been dropped. This is rather strict, there are changes that +require Python >= 3.8. + +(`gh-19665 <https://github.com/numpy/numpy/pull/19665>`__) + +str/repr of complex dtypes now include space after punctuation +-------------------------------------------------------------- +The repr of ``np.dtype({"names": ["a"], "formats": [int], "offsets": [2]})`` is +now ``dtype({'names': ['a'], 'formats': ['<i8'], 'offsets': [2], 'itemsize': +10})``, whereas spaces where previously omitted after colons and between +fields. + +The old behavior can be restored via ``np.set_printoptions(legacy="1.21")``. + +(`gh-19687 <https://github.com/numpy/numpy/pull/19687>`__) + +Corrected ``advance`` in ``PCG64DSXM`` and ``PCG64`` +---------------------------------------------------- +Fixed a bug in the ``advance`` method of ``PCG64DSXM`` and ``PCG64``. The bug +only affects results when the step was larger than :math:`2^{64}` on platforms +that do not support 128-bit integers(e.g., Windows and 32-bit Linux). + +(`gh-20049 <https://github.com/numpy/numpy/pull/20049>`__) + +Change in generation of random 32 bit floating point variates +------------------------------------------------------------- +There was bug in the generation of 32 bit floating point values from the +uniform distribution that would result in the least significant bit of the +random variate always being 0. This has been fixed. + +This change affects the variates produced by the ``random.Generator`` methods +``random``, ``standard_normal``, ``standard_exponential``, and +``standard_gamma``, but only when the dtype is specified as ``numpy.float32``. + +(`gh-20314 <https://github.com/numpy/numpy/pull/20314>`__) + C API changes ============= +Masked inner-loops cannot be customized anymore +----------------------------------------------- +The masked inner-loop selector is now never used. A warning will be given in +the unlikely event that it was customized. + +We do not expect that any code uses this. If you do use it, you must unset the +selector on newer NumPy version. Please also contact the NumPy developers, we +do anticipate providing a new, more specific, mechanism. + +The customization was part of a never-implemented feature to allow for faster +masked operations. + +(`gh-19259 <https://github.com/numpy/numpy/pull/19259>`__) + New Features ============ +NEP 49 configurable allocators +------------------------------ +As detailed in `NEP 49`_, the function used for allocation of the data segment +of a ndarray can be changed. The policy can be set globally or in a context. +For more information see the NEP and the :ref:`data_memory` reference docs. +Also add a ``NUMPY_WARN_IF_NO_MEM_POLICY`` override to warn on dangerous use +of transfering ownership by setting ``NPY_ARRAY_OWNDATA``. + +.. _`NEP 49`: https://numpy.org/neps/nep-0049.html + +(`gh-17582 <https://github.com/numpy/numpy/pull/17582>`__) + +Implementation of the NEP 47 (adopting the array API standard) +-------------------------------------------------------------- +An initial implementation of `NEP 47`_ (adoption the array API standard) has +been added as ``numpy.array_api``. The implementation is experimental and will +issue a UserWarning on import, as the `array API standard +<https://data-apis.org/array-api/latest/index.html>`_ is still in draft state. +``numpy.array_api`` is a conforming implementation of the array API standard, +which is also minimal, meaning that only those functions and behaviors that are +required by the standard are implemented (see the NEP for more info). +Libraries wishing to make use of the array API standard are encouraged to use +``numpy.array_api`` to check that they are only using functionality that is +guaranteed to be present in standard conforming implementations. + +.. _`NEP 47`: https://numpy.org/neps/nep-0047-array-api-standard.html + +(`gh-18585 <https://github.com/numpy/numpy/pull/18585>`__) + +Generate C/C++ API reference documentation from comments blocks is now possible +------------------------------------------------------------------------------- +This feature depends on Doxygen_ in the generation process and on Breathe_ to +integrate it with Sphinx. + +.. _`Doxygen`: https://www.doxygen.nl/index.html +.. _`Breathe`: https://breathe.readthedocs.io/en/latest/ + +(`gh-18884 <https://github.com/numpy/numpy/pull/18884>`__) + +Assign the platform-specific ``c_intp`` precision via a mypy plugin +------------------------------------------------------------------- +The mypy_ plugin, introduced in `numpy/numpy#17843`_, has again been expanded: +the plugin now is now responsible for setting the platform-specific precision +of ``numpy.ctypeslib.c_intp``, the latter being used as data type for various +``numpy.ndarray.ctypes`` attributes. + +Without the plugin, aforementioned type will default to ``ctypes.c_int64``. + +To enable the plugin, one must add it to their mypy `configuration file`_: + +.. code-block:: ini + + [mypy] + plugins = numpy.typing.mypy_plugin + + +.. _mypy: http://mypy-lang.org/ +.. _configuration file: https://mypy.readthedocs.io/en/stable/config_file.html +.. _`numpy/numpy#17843`: https://github.com/numpy/numpy/pull/17843 + +(`gh-19062 <https://github.com/numpy/numpy/pull/19062>`__) + +Add NEP 47-compatible dlpack support +------------------------------------ +Add a ``ndarray.__dlpack__()`` method which returns a ``dlpack`` C structure +wrapped in a ``PyCapsule``. Also add a ``np._from_dlpack(obj)`` function, where +``obj`` supports ``__dlpack__()``, and returns an ``ndarray``. + +(`gh-19083 <https://github.com/numpy/numpy/pull/19083>`__) + +``keepdims`` optional argument added to ``numpy.argmin``, ``numpy.argmax`` +-------------------------------------------------------------------------- +``keepdims`` argument is added to ``numpy.argmin``, ``numpy.argmax``. If set +to ``True``, the axes which are reduced are left in the result as dimensions +with size one. The resulting array has the same number of dimensions and will +broadcast with the input array. + +(`gh-19211 <https://github.com/numpy/numpy/pull/19211>`__) + +``bit_count`` to compute the number of 1-bits in an integer +----------------------------------------------------------- +Computes the number of 1-bits in the absolute value of the input. +This works on all the numpy integer types. Analogous to the builtin +``int.bit_count`` or ``popcount`` in C++. + +.. code-block:: python + + >>> np.uint32(1023).bit_count() + 10 + >>> np.int32(-127).bit_count() + 7 + +(`gh-19355 <https://github.com/numpy/numpy/pull/19355>`__) + +The ``ndim`` and ``axis`` attributes have been added to ``numpy.AxisError`` +--------------------------------------------------------------------------- +The ``ndim`` and ``axis`` parameters are now also stored as attributes +within each ``numpy.AxisError`` instance. + +(`gh-19459 <https://github.com/numpy/numpy/pull/19459>`__) + +Preliminary support for ``windows/arm64`` target +------------------------------------------------ +``numpy`` added support for windows/arm64 target. Please note ``OpenBLAS`` +support is not yet available for windows/arm64 target. + +(`gh-19513 <https://github.com/numpy/numpy/pull/19513>`__) + +Added support for LoongArch +--------------------------- +LoongArch is a new instruction set, numpy compilation failure on LoongArch +architecture, so add the commit. + +(`gh-19527 <https://github.com/numpy/numpy/pull/19527>`__) + +A ``.clang-format`` file has been added +--------------------------------------- +Clang-format is a C/C++ code formatter, together with the added +``.clang-format`` file, it produces code close enough to the NumPy +C_STYLE_GUIDE for general use. Clang-format version 12+ is required due to the +use of several new features, it is available in Fedora 34 and Ubuntu Focal +among other distributions. + +(`gh-19754 <https://github.com/numpy/numpy/pull/19754>`__) + +``is_integer`` is now available to ``numpy.floating`` and ``numpy.integer`` +--------------------------------------------------------------------------- +Based on its counterpart in Python ``float`` and ``int``, the numpy floating +point and integer types now support ``float.is_integer``. Returns ``True`` if +the number is finite with integral value, and ``False`` otherwise. + +.. code-block:: python + + >>> np.float32(-2.0).is_integer() + True + >>> np.float64(3.2).is_integer() + False + >>> np.int32(-2).is_integer() + True + +(`gh-19803 <https://github.com/numpy/numpy/pull/19803>`__) + +Symbolic parser for Fortran dimension specifications +---------------------------------------------------- +A new symbolic parser has been added to f2py in order to correctly parse +dimension specifications. The parser is the basis for future improvements and +provides compatibility with Draft Fortran 202x. + +(`gh-19805 <https://github.com/numpy/numpy/pull/19805>`__) + +``ndarray``, ``dtype`` and ``number`` are now runtime-subscriptable +------------------------------------------------------------------- +Mimicking :pep:`585`, the ``numpy.ndarray``, ``numpy.dtype`` and +``numpy.number`` classes are now subscriptable for python 3.9 and later. +Consequently, expressions that were previously only allowed in .pyi stub files +or with the help of ``from __future__ import annotations`` are now also legal +during runtime. + +.. code-block:: python + + >>> import numpy as np + >>> from typing import Any + + >>> np.ndarray[Any, np.dtype[np.float64]] + numpy.ndarray[typing.Any, numpy.dtype[numpy.float64]] + +(`gh-19879 <https://github.com/numpy/numpy/pull/19879>`__) + Improvements ============ +``ctypeslib.load_library`` can now take any path-like object +------------------------------------------------------------ +All parameters in the can now take any :term:`python:path-like object`. +This includes the likes of strings, bytes and objects implementing the +:meth:`__fspath__<os.PathLike.__fspath__>` protocol. + +(`gh-17530 <https://github.com/numpy/numpy/pull/17530>`__) + +Add ``smallest_normal`` and ``smallest_subnormal`` attributes to ``finfo`` +-------------------------------------------------------------------------- +The attributes ``smallest_normal`` and ``smallest_subnormal`` are available as +an extension of ``finfo`` class for any floating-point data type. To use these +new attributes, write ``np.finfo(np.float64).smallest_normal`` or +``np.finfo(np.float64).smallest_subnormal``. + +(`gh-18536 <https://github.com/numpy/numpy/pull/18536>`__) + +``numpy.linalg.qr`` accepts stacked matrices as inputs +------------------------------------------------------ +``numpy.linalg.qr`` is able to produce results for stacked matrices as inputs. +Moreover, the implementation of QR decomposition has been shifted to C from +Python. + +(`gh-19151 <https://github.com/numpy/numpy/pull/19151>`__) + +``numpy.fromregex`` now accepts ``os.PathLike`` implementations +--------------------------------------------------------------- +``numpy.fromregex`` now accepts objects implementing the ``__fspath__<os.PathLike>`` +protocol, *e.g.* ``pathlib.Path``. + +(`gh-19680 <https://github.com/numpy/numpy/pull/19680>`__) + +Add new methods for ``quantile`` and ``percentile`` +--------------------------------------------------- +``quantile`` and ``percentile`` now have have a ``method=`` keyword argument +supporting 13 different methods. This replaces the ``interpolation=`` keyword +argument. + +The methods are now aligned with nine methods which can be found in scientific +literature and the R language. The remaining methods are the previous +discontinuous variations of the default "linear" one. + +Please see the documentation of ``numpy.percentile`` for more information. + +(`gh-19857 <https://github.com/numpy/numpy/pull/19857>`__) + +Missing parameters have been added to the ``nan<x>`` functions +-------------------------------------------------------------- +A number of the ``nan<x>`` functions previously lacked parameters that were +present in their ``<x>``-based counterpart, *e.g.* the ``where`` parameter was +present in ``numpy.mean`` but absent from ``numpy.nanmean``. + +The following parameters have now been added to the ``nan<x>`` functions: + +* nanmin: ``initial`` & ``where`` +* nanmax: ``initial`` & ``where`` +* nanargmin: ``keepdims`` & ``out`` +* nanargmax: ``keepdims`` & ``out`` +* nansum: ``initial`` & ``where`` +* nanprod: ``initial`` & ``where`` +* nanmean: ``where`` +* nanvar: ``where`` +* nanstd: ``where`` + +(`gh-20027 <https://github.com/numpy/numpy/pull/20027>`__) + +Annotating the main Numpy namespace +----------------------------------- +Starting from the 1.20 release, PEP 484 type annotations have been included for +parts of the NumPy library; annotating the remaining functions being a work in +progress. With the release of 1.22 this process has been completed for the main +NumPy namespace, which is now fully annotated. + +Besides the main namespace, a limited number of sub-packages contain +annotations as well. This includes, among others, ``numpy.testing``, +``numpy.linalg`` and ``numpy.random`` (available since 1.21). + +(`gh-20217 <https://github.com/numpy/numpy/pull/20217>`__) + +Vectorize umath module using AVX-512 +------------------------------------- +By leveraging Intel Short Vector Math Library (SVML), 18 umath functions +(``exp2``, ``log2``, ``log10``, ``expm1``, ``log1p``, ``cbrt``, ``sin``, +``cos``, ``tan``, ``arcsin``, ``arccos``, ``arctan``, ``sinh``, ``cosh``, +``tanh``, ``arcsinh``, ``arccosh``, ``arctanh``) are vectorized using AVX-512 +instruction set for both single and double precision implementations. This +change is currently enabled only for Linux users and on processors with AVX-512 +instruction set. It provides an average speed up of 32x and 14x for single and +double precision functions respectively. + +(`gh-19478 <https://github.com/numpy/numpy/pull/19478>`__) + +OpenBLAS v0.3.17 +---------------- +Update the OpenBLAS used in testing and in wheels to v0.3.17 + +(`gh-19462 <https://github.com/numpy/numpy/pull/19462>`__) -Changes -======= |