diff options
| author | Charles Harris <charlesr.harris@gmail.com> | 2020-06-20 15:09:47 -0600 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2020-06-20 15:09:47 -0600 |
| commit | 93606586e58fcf69b8e130943e929c805a6e0e32 (patch) | |
| tree | 4d1fa3a877dbc493bab299f7c1e1125f49abdd49 | |
| parent | 69555f52b2e2c5032cf70d40d9f9b8ec9a048500 (diff) | |
| download | numpy-93606586e58fcf69b8e130943e929c805a6e0e32.tar.gz | |
REL: Update master after 1.19.0 release.
| -rw-r--r-- | .mailmap | 19 | ||||
| -rw-r--r-- | doc/changelog/1.19.0-changelog.rst | 592 | ||||
| -rw-r--r-- | doc/source/release/1.19.0-notes.rst | 347 |
3 files changed, 779 insertions, 179 deletions
@@ -32,6 +32,7 @@ Amir Sarabadani <ladsgroup@gmail.com> amir <ladsgroup@gmail.com> Anatoly Techtonik <techtonik@gmail.com> anatoly techtonik <techtonik@gmail.com> Andras Deak <deak.andris@gmail.com> adeak <adeak@users.noreply.github.com> Andrea Pattori <andrea.pattori@gmail.com> patto90 <andrea.pattori@gmail.com> +Andrea Sangalli <and-sang@outlook.com> and-sang <53617841+and-sang@users.noreply.github.com> Andrei Kucharavy <ank@andreikucharavy.com> chiffa <ank@andreikucharavy.com> Anne Archibald <peridot.faceted@gmail.com> aarchiba <peridot.faceted@gmail.com> Anne Archibald <peridot.faceted@gmail.com> Anne Archibald <archibald@astron.nl> @@ -55,6 +56,7 @@ Bob Eldering <eldering@jive.eu> bobeldering <eldering@jive.eu> Brett R Murphy <bmurphy@enthought.com> brettrmurphy <bmurphy@enthought.com> Bryan Van de Ven <bryanv@continuum.io> Bryan Van de Ven <bryan@Laptop-3.local> Bryan Van de Ven <bryanv@continuum.io> Bryan Van de Ven <bryan@laptop.local> +Bui Duc Minh <buiducminh287@gmail.com> Mibu287 <41239569+Mibu287@users.noreply.github.com> Carl Kleffner <cmkleffner@gmail.com> carlkl <cmkleffner@gmail.com> Chris Burns <chris.burns@localhost> chris.burns <chris.burns@localhost> Chris Kerr <debdepba@dasganma.tk> Chris Kerr <cjk34@cam.ac.uk> @@ -63,6 +65,7 @@ Christopher Hanley <chanley@gmail.com> chanley <chanley@gmail.com> Christoph Gohlke <cgohlke@uci.edu> cgholke <?@?> Christoph Gohlke <cgohlke@uci.edu> cgohlke <cgohlke@uci.edu> Christoph Gohlke <cgohlke@uci.edu> Christolph Gohlke <cgohlke@uci.edu> +Chunlin Fang <fangchunlin@huawei.com> Qiyu8 <fangchunlin@huawei.com> Colin Snyder <47012605+colinsnyder@users.noreply.github.com> colinsnyder <47012605+colinsnyder@users.noreply.github.com> Daniel B Allan <daniel.b.allan@gmail.com> danielballan <daniel.b.allan@gmail.com> Daniel da Silva <mail@danieldasilva.org> Daniel da Silva <daniel@meltingwax.net> @@ -83,9 +86,12 @@ Derek Homeier <derek@astro.physik.uni-goettingen.de> Derek Homeir <derek@astro.p Derek Homeier <derek@astro.physik.uni-goettingen.de> Derek Homier <derek@astro.physik.uni-goettingen.de> Derrick Williams <myutat@gmail.com> derrick <myutat@gmail.com> Dmitriy Shalyga <zuko3d@gmail.com> zuko3d <zuko3d@gmail.com> +Dustan Levenstein <dlevenstein@gmail.com> dustanlevenstein <43019642+dustanlevenstein@users.noreply.github.com> Ed Schofield <edschofield@localhost> edschofield <edschofield@localhost> Egor Zindy <ezindy@gmail.com> zindy <ezindy@gmail.com> Endolith <endolith@gmail.com> +Erik M. Bray <erik.bray@lri.fr> E. M. Bray <erik.bray@lri.fr> +Erik M. Bray <erik.bray@lri.fr> Erik Bray <erik.m.bray@gmail.com> Eric Fode <ericfode@gmail.com> Eric Fode <ericfode@linuxlaptop.(none)> Eric Quintero <eric.antonio.quintero@gmail.com> e-q <eric.antonio.quintero@gmail.com> Ernest N. Mamikonyan <ernest.mamikonyan@gmail.com> mamikony <ernest.mamikonyan@sig.com> @@ -111,6 +117,7 @@ Hanno Klemm <hanno.klemm@maerskoil.com> hklemm <hanno.klemm@maerskoil.com> Hemil Desai <desai38@purdue.edu> hemildesai <desai38@purdue.edu> Hiroyuki V. Yamazaki <hiroyuki.vincent.yamazaki@gmail.com> hvy <hiroyuki.vincent.yamazaki@gmail.com> Gerhard Hobler <gerhard.hobler@tuwien.ac.at> hobler <gerhard.hobler@tuwien.ac.at> +Guillaume Peillex <guillaume.peillex@gmail.com> hippo91 <guillaume.peillex@gmail.com> Irvin Probst <irvin.probst@ensta-bretagne.fr> I--P <irvin.probst@ensta-bretagne.fr> Jaime Fernandez <jaime.frio@gmail.com> Jaime Fernandez <jaime.fernandez@hp.com> Jaime Fernandez <jaime.frio@gmail.com> jaimefrio <jaime.frio@gmail.com> @@ -129,6 +136,7 @@ Johannes Hampp <johannes.hampp@zeu.uni-giessen.de> euronion <42553970+euronion@u Johannes Schönberger <hannesschoenberger@gmail.com> Johannes Schönberger <jschoenberger@demuc.de> Johann Faouzi <johann.faouzi@gmail.com> johann.faouzi <johann.faouzi@icm-institute.org> John Darbyshire <24256554+attack68@users.noreply.github.com> attack68 <24256554+attack68@users.noreply.github.com> +John Kirkham <kirkhamj@janelia.hhmi.org> jakirkham <jakirkham@gmail.com> Joseph Fox-Rabinovitz <jfoxrabinovitz@gmail.com> Joseph Fox-Rabinovitz <joseph.r.fox-rabinovitz@nasa.gov> Joseph Fox-Rabinovitz <jfoxrabinovitz@gmail.com> Joseph Fox-Rabinovitz <madphysicist@users.noreply.github.com> Joseph Fox-Rabinovitz <jfoxrabinovitz@gmail.com> Mad Physicist <madphysicist@users.noreply.github.com> @@ -138,6 +146,7 @@ Julian Taylor <juliantaylor108@gmail.com> Julian Taylor <juliantaylor108@googlem Julien Lhermitte <jrmlhermitte@gmail.com> Julien Lhermitte <lhermitte@bnl.gov> Julien Schueller <julien.schueller@gmail.com> jschueller <julien.schueller@gmail.com> Justus Magin <keewis@posteo.de> keewis <keewis@users.noreply.github.com> +Justus Magin <keewis@posteo.de> Keewis <keewis@posteo.de> Kai Striega <kaistriega@gmail.com> kai <kaistriega@gmail.com> Kai Striega <kaistriega@gmail.com> kai-striega <kaistriega@gmail.com> Kai Striega <kaistriega@gmail.com> kai-striega <kaistriega+github@gmail.com> @@ -155,6 +164,7 @@ Luke Zoltan Kelley <lkelley@cfa.harvard.edu> lzkelley <lkelley@cfa.harvard.edu> Magdalena Proszewska <magdalena.proszewska@gmail.com> mpro <magdalena.proszewska@gmail.com> Magdalena Proszewska <magdalena.proszewska@gmail.com> mproszewska <38814059+mproszewska@users.noreply.github.com> Manoj Kumar <manojkumarsivaraj334@gmail.com> MechCoder <manojkumarsivaraj334@gmail.com> +Marcin Podhajski <podhajskimarcin@gmail.com> m-podhajski <36967358+m-podhajski@users.noreply.github.com> Mark DePristo <mdepristo@synapdx.com> markdepristo <mdepristo@synapdx.com> Mark Weissman <mw9050@gmail.com> m-d-w <mw9050@gmail.com> Mark Wiebe <mwwiebe@gmail.com> Mark <mwwiebe@gmail.com> @@ -164,16 +174,21 @@ Mark Wiebe <mwwiebe@gmail.com> Mark Wiebe <mwiebe@georg.(none)> Martin Goodson <martingoodson@gmail.com> martingoodson <martingoodson@gmail.com> Martin Reinecke <martin@mpa-garching.mpg.de> mreineck <martin@mpa-garching.mpg.de> Martin Teichmann <martin.teichmann@xfel.eu> Martin Teichmann <lkb.teichmann@gmail.com> +Matt Hancock <not.matt.hancock@gmail.com> matt <mhancock743@gmail.com> Martino Sorbaro <martino.sorbaro@ed.ac.uk> martinosorb <martino.sorbaro@ed.ac.uk> Mattheus Ueckermann <empeeu@yahoo.com> empeeu <empeeu@yahoo.com> Matthew Harrigan <harrigan.matthew@gmail.com> MattHarrigan <harrigan.matthew@gmail.com> Matti Picus <matti.picus@gmail.com> mattip <matti.picus@gmail.com> +Maximilian Konrad <maximilianlukaskonrad@hotmail.de> MLK97 <maximilianlukaskonrad@hotmail.de> +Melissa Weber Mendonça <melissawm@gmail.com> Melissa Weber Mendonca <melissawm@gmail.com> +Melissa Weber Mendonça <melissawm@gmail.com> melissawm <melissawm@gmail.com> Michael Behrisch <oss@behrisch.de> behrisch <behrisch@users.sourceforge.net> Michael Droettboom <mdboom@gmail.com> mdroe <mdroe@localhost> Michael K. Tran <trankmichael@gmail.com> mtran <trankmichael@gmail.com> Michael Martin <mmartin4242@gmail.com> mmartin <mmartin4242@gmail.com> Michael Schnaitter <schnaitterm@knights.ucf.edu> schnaitterm <schnaitterm@users.noreply.github.com> Muhammad Kasim <firman.kasim@gmail.com> mfkasim91 <firman.kasim@gmail.com> +Masashi Kishimoto <drehbleistift@gmail.com> kishimoto-banana <drehbleistift@gmail.com> Nathaniel J. Smith <njs@pobox.com> njsmith <njs@pobox.com> Naveen Arunachalam <notatroll.troll@gmail.com> naveenarun <notatroll.troll@gmail.com> Nicolas Scheffer <nicolas.scheffer@sri.com> Nicolas Scheffer <scheffer@speech.sri.com> @@ -190,6 +205,7 @@ Peter J Cock <p.j.a.cock@googlemail.com> peterjc <p.j.a.cock@googlemail.com> Phil Elson <pelson.pub@gmail.com> Pierre GM <pierregmcode@gmail.com> pierregm <pierregmcode@gmail.com> Pierre GM <pierregmcode@gmail.com> pierregm <pierregm@localhost> +Piotr Gaiński <dociebieaniuszlem@gmail.com> panpiort8 <dociebieaniuszlem@gmail.com> Prabhu Ramachandran <prabhu@localhost> prabhu <prabhu@localhost> Przemyslaw Bartosik <sendthenote@gmail.com> przemb <sendthenote@gmail.com> Ralf Gommers <ralf.gommers@gmail.com> Ralf Gommers <ralf.gommers@googlemail.com> @@ -212,6 +228,7 @@ Sebastian Berg <sebastian@sipsolutions.net> seberg <sebastian@sipsolutions.net> Shekhar Prasad Rajak <shekharrajak@live.com> shekharrajak <shekharrajak@live.com> Shota Kawabuchi <shota.kawabuchi+GitHub@gmail.com> skwbc <shota.kawabuchi+GitHub@gmail.com> Siavash Eliasi <siavashserver@gmail.com> siavashserver <siavashserver@gmail.com> +Simon Gasse <simon.gasse@gmail.com> sgasse <sgasse@users.noreply.github.com> Søren Rasmussen <soren.rasmussen@alexandra.dk> sorenrasmussenai <47032123+sorenrasmussenai@users.noreply.github.com> Stefan van der Walt <stefanv@berkeley.edu> Stefan van der Walt <sjvdwalt@gmail.com> Stefan van der Walt <stefanv@berkeley.edu> Stefan van der Walt <stefan@sun.ac.za> @@ -229,6 +246,7 @@ Tony LaTorre <tlatorre@uchicago.edu> tlatorre <tlatorre@uchicago.edu> Travis Oliphant <travis@continuum.io> Travis E. Oliphant <teoliphant@gmail.com> Travis Oliphant <travis@continuum.io> Travis Oliphant <oliphant@enthought.com> Valentin Haenel <valentin@haenel.co> Valentin Haenel <valentin.haenel@gmx.de> +Rakesh Vasudevan <rakesh.nvasudev@gmail.com> vrakesh <rakesh.nvasudev@gmail.com> Vrinda Narayan <talk2vrinda@gmail.com> vrindaaa <48102157+vrindaaa@users.noreply.github.com> Warren Weckesser <warren.weckesser@enthought.com> Warren Weckesser <warren.weckesser@gmail.com> Weitang Li <liwt31@163.com> wtli@Dirac <liwt31@163.com> @@ -238,6 +256,7 @@ Wim Glenn <wim.glenn@melbourneit.com.au> wim glenn <wim.glenn@melbourneit.com.au Wojtek Ruszczewski <git@wr.waw.pl> wrwrwr <git@wr.waw.pl> Yuji Kanagawa <yuji.kngw.80s.revive@gmail.com> kngwyu <yuji.kngw.80s.revive@gmail.com> Yury Kirienko <yury.kirienko@gmail.com> kirienko <yury.kirienko@gmail.com> +Zac Hatfield-Dodds <zac.hatfield.dodds@gmail.com> Zac-HD <zac.hatfield.dodds@gmail.com> Zixu Zhao <zixu.zhao.tireless@gmail.com> ZZhaoTireless <zixu.zhao.tireless@gmail.com> Ziyan Zhou <ziyan.zhou@mujin.co.jp> Ziyan <ziyan.zhou@mujin.co.jp> Zieji Pohz <poh.ziji@gmail.com> jpoh <poh.zijie@gmail.com> diff --git a/doc/changelog/1.19.0-changelog.rst b/doc/changelog/1.19.0-changelog.rst new file mode 100644 index 000000000..bd743832a --- /dev/null +++ b/doc/changelog/1.19.0-changelog.rst @@ -0,0 +1,592 @@ + +Contributors +============ + +A total of 126 people contributed to this release. People with a "+" by their +names contributed a patch for the first time. + +* Alex Henrie +* Alexandre de Siqueira + +* Andras Deak +* Andrea Sangalli + +* Andreas Klöckner + +* Andrei Shirobokov + +* Anirudh Subramanian + +* Anne Bonner +* Anton Ritter-Gogerly + +* Benjamin Trendelkamp-Schroer + +* Bharat Raghunathan +* Brandt Bucher + +* Brian Wignall +* Bui Duc Minh + +* Changqing Li + +* Charles Harris +* Chris Barker +* Chris Holland + +* Christian Kastner + +* Chunlin + +* Chunlin Fang + +* Damien Caliste + +* Dan Allan +* Daniel Hrisca +* Daniel Povey + +* Dustan Levenstein + +* Emmanuelle Gouillart + +* Eric Larson +* Eric M. Bray +* Eric Mariasis + +* Eric Wieser +* Erik Welch + +* Fabio Zeiser + +* Gabriel Gerlero + +* Ganesh Kathiresan + +* Gengxin Xie + +* Guilherme Leobas +* Guillaume Peillex + +* Hameer Abbasi +* Hao Jin + +* Harshal Prakash Patankar + +* Heshy Roskes + +* Himanshu Garg + +* Huon Wilson + +* John Han + +* John Kirkham +* Jon Dufresne +* Jon Morris + +* Josh Wilson +* Justus Magin +* Kai Striega +* Kerem Hallaç + +* Kevin Sheppard +* Kirill Zinovjev + +* Marcin Podhajski + +* Mark Harfouche +* Marten van Kerkwijk +* Martin Michlmayr + +* Masashi Kishimoto + +* Mathieu Lamarre +* Matt Hancock + +* MatteoRaso + +* Matthew Harrigan +* Matthias Bussonnier +* Matti Picus +* Max Balandat + +* Maximilian Konrad + +* Maxwell Aladago +* Maxwell Bileschi + +* Melissa Weber Mendonça + +* Michael Felt +* Michael Hirsch + +* Mike Taves +* Nico Schlömer +* Pan Jan + +* Paul Rougieux + +* Pauli Virtanen +* Peter Andreas Entschev +* Petre-Flaviu Gostin + +* Pierre de Buyl +* Piotr Gaiński + +* Przemyslaw Bartosik + +* Raghuveer Devulapalli +* Rakesh Vasudevan + +* Ralf Gommers +* RenaRuirui + +* Robert Kern +* Roman Yurchak +* Ross Barnowski + +* Ryan + +* Ryan Soklaski +* Sanjeev Kumar + +* SanthoshBala18 + +* Sayed Adel + +* Sebastian Berg +* Seth Troisi +* Sha Liu + +* Siba Smarak Panigrahi + +* Simon Gasse + +* Stephan Hoyer +* Steve Dower + +* Thomas A Caswell +* Till Hoffmann + +* Tim Hoffmann +* Tina Oberoi + +* Tirth Patel +* Tyler Reddy +* Warren Weckesser +* Wojciech Rzadkowski + +* Xavier Thomas + +* Yilin LI + +* Zac Hatfield-Dodds + +* Zé Vinícius + +* @Adam + +* @Anthony + +* @Jim + +* @bartosz-grabowski + +* @dojafrat + +* @gamboon + +* @jfbu + +* @keremh + +* @mayeut + +* @ndunnewind + +* @nglinh + +* @shreepads + +* @sslivkoff + + + +Pull requests merged +==================== + +A total of 452 pull requests were merged for this release. + +* `#8255 <https://github.com/numpy/numpy/pull/8255>`__: ENH: add identity kwarg to frompyfunc +* `#12646 <https://github.com/numpy/numpy/pull/12646>`__: TST: check exception details in refguide_check.py +* `#13421 <https://github.com/numpy/numpy/pull/13421>`__: ENH: improve runtime detection of CPU features +* `#14326 <https://github.com/numpy/numpy/pull/14326>`__: TST: Add assert_array_equal test for big integer arrays. +* `#14376 <https://github.com/numpy/numpy/pull/14376>`__: MAINT: Remove unnecessary 'from __future__ import ...' statements +* `#14530 <https://github.com/numpy/numpy/pull/14530>`__: MAINT: Fix typos and copy edit NEP-0030. +* `#14546 <https://github.com/numpy/numpy/pull/14546>`__: DOC: NumPy for absolute beginners tutorial +* `#14715 <https://github.com/numpy/numpy/pull/14715>`__: NEP: Proposal for array creation dispatching with `__array_function__` +* `#14867 <https://github.com/numpy/numpy/pull/14867>`__: ENH: Use AVX-512F for np.maximum and np.minimum +* `#14924 <https://github.com/numpy/numpy/pull/14924>`__: BUG: Fix numpy.random.dirichlet returns NaN for small 'alpha'... +* `#14933 <https://github.com/numpy/numpy/pull/14933>`__: API: Use `ResultType` in `PyArray_ConvertToCommonType` +* `#14942 <https://github.com/numpy/numpy/pull/14942>`__: MAINT,API: ignore and NULL fasttake/fastputmask ArrFuncs slots +* `#14981 <https://github.com/numpy/numpy/pull/14981>`__: BUG: Make ``ediff1d`` kwarg casting consistent +* `#14988 <https://github.com/numpy/numpy/pull/14988>`__: DOC: linalg: Include information about scipy.linalg. +* `#14995 <https://github.com/numpy/numpy/pull/14995>`__: BUG: Use ``__array__`` during dimension discovery +* `#15011 <https://github.com/numpy/numpy/pull/15011>`__: MAINT: cleanup compat.py3k.py +* `#15022 <https://github.com/numpy/numpy/pull/15022>`__: ENH: f2py: improve error messages +* `#15028 <https://github.com/numpy/numpy/pull/15028>`__: [DOC] LaTeX: fix preamble (closes #15026) +* `#15035 <https://github.com/numpy/numpy/pull/15035>`__: BUG: add endfunction, endsubroutine to valid fortran end words +* `#15040 <https://github.com/numpy/numpy/pull/15040>`__: TST: Add test for object method (and general unary) loops +* `#15042 <https://github.com/numpy/numpy/pull/15042>`__: REL: Update master after 1.18.x branch. +* `#15043 <https://github.com/numpy/numpy/pull/15043>`__: DOC: Update HOWTO_RELEASE.rst.txt +* `#15046 <https://github.com/numpy/numpy/pull/15046>`__: API, DOC: change names to multivariate_hypergeometric, improve... +* `#15050 <https://github.com/numpy/numpy/pull/15050>`__: DOC: Fix statement about norms +* `#15052 <https://github.com/numpy/numpy/pull/15052>`__: MAINT: follow-up cleanup for blas64 PR +* `#15054 <https://github.com/numpy/numpy/pull/15054>`__: DOC: add docstrings to refguide-check +* `#15066 <https://github.com/numpy/numpy/pull/15066>`__: Revert "DEP: issue deprecation warning when creating ragged array... +* `#15069 <https://github.com/numpy/numpy/pull/15069>`__: ENH: add support for ILP64 OpenBLAS (without symbol suffix) +* `#15070 <https://github.com/numpy/numpy/pull/15070>`__: DOC: correct version for NaT sort +* `#15072 <https://github.com/numpy/numpy/pull/15072>`__: TST: Check requires_memory immediately before the test +* `#15073 <https://github.com/numpy/numpy/pull/15073>`__: MAINT: core: Fix a very long line in the ufunc docstrings. +* `#15076 <https://github.com/numpy/numpy/pull/15076>`__: BUG: test, fix flexible dtype conversion on class with __array__ +* `#15082 <https://github.com/numpy/numpy/pull/15082>`__: TST: add value to pytest.ini for pytest6 compatibility +* `#15085 <https://github.com/numpy/numpy/pull/15085>`__: MAINT: Ragged cleanup +* `#15097 <https://github.com/numpy/numpy/pull/15097>`__: DOC: bring the out parameter docstring into line with ufuncs +* `#15106 <https://github.com/numpy/numpy/pull/15106>`__: ENH: f2py: add --f2cmap option for specifying the name of .f2py_f2cmap +* `#15107 <https://github.com/numpy/numpy/pull/15107>`__: TST: add BLAS ILP64 run in Travis & Azure +* `#15110 <https://github.com/numpy/numpy/pull/15110>`__: MAINT: Fix expm1 instability for small complex numbers. +* `#15115 <https://github.com/numpy/numpy/pull/15115>`__: MAINT: random: Remove a few unused imports from test files. +* `#15116 <https://github.com/numpy/numpy/pull/15116>`__: MAINT: Bump pytest from 5.3.1 to 5.3.2 +* `#15118 <https://github.com/numpy/numpy/pull/15118>`__: API: remove undocumented use of __array__(dtype, context) +* `#15120 <https://github.com/numpy/numpy/pull/15120>`__: MAINT,CI: fix signed-unsigned comparison warning +* `#15124 <https://github.com/numpy/numpy/pull/15124>`__: DOC: Update documentation of np.clip +* `#15125 <https://github.com/numpy/numpy/pull/15125>`__: DOC: Remove reference to basic RNG +* `#15126 <https://github.com/numpy/numpy/pull/15126>`__: MAINT: Fix randint 0d limits and other 0d cleanups +* `#15129 <https://github.com/numpy/numpy/pull/15129>`__: DOC: Fix typos, via a Levenshtein-style corrector +* `#15133 <https://github.com/numpy/numpy/pull/15133>`__: MAINT: CI: Clean up .travis.yml +* `#15136 <https://github.com/numpy/numpy/pull/15136>`__: DOC: Correct choice signature +* `#15138 <https://github.com/numpy/numpy/pull/15138>`__: DOC: Correct documentation in choice +* `#15143 <https://github.com/numpy/numpy/pull/15143>`__: TST: shippable build efficiency +* `#15144 <https://github.com/numpy/numpy/pull/15144>`__: BUG: ensure reduction output matches input along non-reduction... +* `#15149 <https://github.com/numpy/numpy/pull/15149>`__: REL: Update master after NumPy 1.18.0 release. +* `#15150 <https://github.com/numpy/numpy/pull/15150>`__: MAINT: Update pavement.py for towncrier. +* `#15153 <https://github.com/numpy/numpy/pull/15153>`__: DOC: update cholesky docstring regarding input checking +* `#15154 <https://github.com/numpy/numpy/pull/15154>`__: DOC: update documentation on how to build NumPy +* `#15156 <https://github.com/numpy/numpy/pull/15156>`__: DOC: add moved modules to 1.18 release note +* `#15160 <https://github.com/numpy/numpy/pull/15160>`__: MAINT: Update required cython version to 0.29.14. +* `#15164 <https://github.com/numpy/numpy/pull/15164>`__: BUG: searchsorted: passing the keys as a keyword argument +* `#15170 <https://github.com/numpy/numpy/pull/15170>`__: BUG: use tmp dir and check version for cython test +* `#15178 <https://github.com/numpy/numpy/pull/15178>`__: TST: improve assert message of assert_array_max_ulp +* `#15187 <https://github.com/numpy/numpy/pull/15187>`__: MAINT: unskip test on win32 +* `#15189 <https://github.com/numpy/numpy/pull/15189>`__: ENH: Add property-based tests using Hypothesis +* `#15194 <https://github.com/numpy/numpy/pull/15194>`__: BUG: test, fix for c++ compilation +* `#15196 <https://github.com/numpy/numpy/pull/15196>`__: DOC: Adding instructions for building documentation to developer... +* `#15197 <https://github.com/numpy/numpy/pull/15197>`__: DOC: NEP 37: A dispatch protocol for NumPy-like modules +* `#15203 <https://github.com/numpy/numpy/pull/15203>`__: MAINT: Do not use private Python function in testing +* `#15205 <https://github.com/numpy/numpy/pull/15205>`__: DOC: Improvements to Quickstart Tutorial. +* `#15211 <https://github.com/numpy/numpy/pull/15211>`__: BUG: distutils: fix msvc+gfortran openblas handling corner case +* `#15212 <https://github.com/numpy/numpy/pull/15212>`__: BUG: lib: Fix handling of integer arrays by gradient. +* `#15215 <https://github.com/numpy/numpy/pull/15215>`__: MAINT: lib: A little bit of clean up for the new year. +* `#15216 <https://github.com/numpy/numpy/pull/15216>`__: REL: Update master after NumPy 1.16.6 and 1.17.5 releases. +* `#15217 <https://github.com/numpy/numpy/pull/15217>`__: DEP: records: Deprecate treating shape=0 as shape=None +* `#15218 <https://github.com/numpy/numpy/pull/15218>`__: ENH: build fallback lapack_lite with 64-bit integers on 64-bit... +* `#15224 <https://github.com/numpy/numpy/pull/15224>`__: MAINT: linalg: use symbol suffix in fallback lapack_lite +* `#15227 <https://github.com/numpy/numpy/pull/15227>`__: DOC: typo in release.rst +* `#15228 <https://github.com/numpy/numpy/pull/15228>`__: NEP: universal SIMD NEP 38 +* `#15229 <https://github.com/numpy/numpy/pull/15229>`__: MAINT: Remove unused int_asbuffer +* `#15232 <https://github.com/numpy/numpy/pull/15232>`__: MAINT: Cleaning up PY_MAJOR_VERSION/PY_VERSION_HEX +* `#15233 <https://github.com/numpy/numpy/pull/15233>`__: MAINT: Clean up more PY_VERSION_HEX +* `#15236 <https://github.com/numpy/numpy/pull/15236>`__: MAINT: Remove implicit inheritance from object class +* `#15238 <https://github.com/numpy/numpy/pull/15238>`__: MAINT: only add --std=c99 where needed +* `#15239 <https://github.com/numpy/numpy/pull/15239>`__: MAINT: Remove Python2 newbuffer getbuffer +* `#15240 <https://github.com/numpy/numpy/pull/15240>`__: MAINT: Py3K array_as_buffer and gentype_as_buffer +* `#15241 <https://github.com/numpy/numpy/pull/15241>`__: MAINT: Remove references to non-existent sys.exc_clear() +* `#15242 <https://github.com/numpy/numpy/pull/15242>`__: DOC: Update HOWTO_RELEASE.rst +* `#15248 <https://github.com/numpy/numpy/pull/15248>`__: MAINT: cleanup use of sys.exc_info +* `#15249 <https://github.com/numpy/numpy/pull/15249>`__: MAINT: Eliminate some calls to `eval` +* `#15251 <https://github.com/numpy/numpy/pull/15251>`__: MAINT: Improve const-correctness of shapes and strides +* `#15253 <https://github.com/numpy/numpy/pull/15253>`__: DOC: clarify the effect of None parameters passed to ndarray.view +* `#15254 <https://github.com/numpy/numpy/pull/15254>`__: MAINT: Improve const-correctness of string arguments +* `#15255 <https://github.com/numpy/numpy/pull/15255>`__: MAINT: Delete numpy.distutils.compat +* `#15256 <https://github.com/numpy/numpy/pull/15256>`__: MAINT: Implement keyword-only arguments as syntax +* `#15260 <https://github.com/numpy/numpy/pull/15260>`__: MAINT: Remove FIXME comments introduced in the previous commit +* `#15261 <https://github.com/numpy/numpy/pull/15261>`__: MAINT: Work with unicode strings in `dtype('i8,i8')` +* `#15262 <https://github.com/numpy/numpy/pull/15262>`__: BUG: Use PyDict_GetItemWithError() instead of PyDict_GetItem() +* `#15263 <https://github.com/numpy/numpy/pull/15263>`__: MAINT: Remove python2 array_{get,set}slice +* `#15264 <https://github.com/numpy/numpy/pull/15264>`__: DOC: Add some missing functions in the list of available ufuncs. +* `#15265 <https://github.com/numpy/numpy/pull/15265>`__: MAINT: Tidy PyArray_DescrConverter +* `#15266 <https://github.com/numpy/numpy/pull/15266>`__: MAINT: remove duplicated if statements between DescrConverters +* `#15267 <https://github.com/numpy/numpy/pull/15267>`__: BUG: Fix PyArray_DescrAlignConverter2 on tuples +* `#15268 <https://github.com/numpy/numpy/pull/15268>`__: MAINT: Remove Python2 ndarray.__unicode__ +* `#15272 <https://github.com/numpy/numpy/pull/15272>`__: MAINT: Remove Python 2 divide +* `#15273 <https://github.com/numpy/numpy/pull/15273>`__: MAINT: minor formatting fixups for NEP-37 +* `#15274 <https://github.com/numpy/numpy/pull/15274>`__: MAINT: Post NumPy 1.18.1 update. +* `#15275 <https://github.com/numpy/numpy/pull/15275>`__: MAINT: travis-ci: Update CI scripts. +* `#15278 <https://github.com/numpy/numpy/pull/15278>`__: BENCH: Add benchmark for small array coercions +* `#15279 <https://github.com/numpy/numpy/pull/15279>`__: BUILD: use standard build of OpenBLAS for aarch64, ppc64le, s390x +* `#15280 <https://github.com/numpy/numpy/pull/15280>`__: BENCH: Add basic benchmarks for take and putmask +* `#15281 <https://github.com/numpy/numpy/pull/15281>`__: MAINT: Cleanup most PY3K #ifdef guards +* `#15282 <https://github.com/numpy/numpy/pull/15282>`__: DOC: BLD: add empty release notes for 1.19.0 to fix doc build... +* `#15284 <https://github.com/numpy/numpy/pull/15284>`__: MAINT: Use a simpler return convention for internal functions +* `#15285 <https://github.com/numpy/numpy/pull/15285>`__: MAINT: Simplify np.int_ inheritance +* `#15286 <https://github.com/numpy/numpy/pull/15286>`__: DOC" Update np.full docstring. +* `#15287 <https://github.com/numpy/numpy/pull/15287>`__: MAINT: Express PyArray_DescrAlignConverter in terms of _convert_from_any +* `#15288 <https://github.com/numpy/numpy/pull/15288>`__: MAINT: Push down declarations in _convert_from_* +* `#15289 <https://github.com/numpy/numpy/pull/15289>`__: MAINT: C code simplifications +* `#15291 <https://github.com/numpy/numpy/pull/15291>`__: BUG: Add missing error handling to _convert_from_list +* `#15295 <https://github.com/numpy/numpy/pull/15295>`__: DOC: Added tutorial about linear algebra on multidimensional... +* `#15300 <https://github.com/numpy/numpy/pull/15300>`__: MAINT: Refactor dtype conversion functions to be more similar +* `#15303 <https://github.com/numpy/numpy/pull/15303>`__: DOC: Updating f2py docs to python 3 and fixing some typos +* `#15304 <https://github.com/numpy/numpy/pull/15304>`__: MAINT: Remove NPY_PY3K constant +* `#15305 <https://github.com/numpy/numpy/pull/15305>`__: MAINT: Remove sys.version checks in tests +* `#15307 <https://github.com/numpy/numpy/pull/15307>`__: MAINT: cleanup sys.version dependant code +* `#15310 <https://github.com/numpy/numpy/pull/15310>`__: MAINT: Ensure `_convert_from_*` functions set errors +* `#15312 <https://github.com/numpy/numpy/pull/15312>`__: MAINT: Avoid escaping unicode in error messages +* `#15315 <https://github.com/numpy/numpy/pull/15315>`__: MAINT: Change file extension of ma README to rst. +* `#15319 <https://github.com/numpy/numpy/pull/15319>`__: BUG: fix NameError in clip nan propagation tests +* `#15323 <https://github.com/numpy/numpy/pull/15323>`__: NEP: document reimplementation of NEP 34 +* `#15324 <https://github.com/numpy/numpy/pull/15324>`__: MAINT: fix typos +* `#15328 <https://github.com/numpy/numpy/pull/15328>`__: TST: move pypy CI to ubuntu 18.04 +* `#15329 <https://github.com/numpy/numpy/pull/15329>`__: TST: move _no_tracing to testing._private, remove testing.support +* `#15333 <https://github.com/numpy/numpy/pull/15333>`__: BUG: Add some missing C error handling +* `#15335 <https://github.com/numpy/numpy/pull/15335>`__: MAINT: Remove sys.version checks +* `#15336 <https://github.com/numpy/numpy/pull/15336>`__: DEP: Deprecate `->f->fastclip` at registration time +* `#15338 <https://github.com/numpy/numpy/pull/15338>`__: DOC: document site.cfg.example +* `#15350 <https://github.com/numpy/numpy/pull/15350>`__: MAINT: Fix mistype in histogramdd docstring +* `#15351 <https://github.com/numpy/numpy/pull/15351>`__: DOC, BLD: reword release note, upgrade sphinx version +* `#15353 <https://github.com/numpy/numpy/pull/15353>`__: MAINT: Remove unnecessary calls to PyArray_DATA from binomial... +* `#15354 <https://github.com/numpy/numpy/pull/15354>`__: MAINT: Bump pytest from 5.3.2 to 5.3.3 +* `#15358 <https://github.com/numpy/numpy/pull/15358>`__: MAINT: Remove six +* `#15361 <https://github.com/numpy/numpy/pull/15361>`__: MAINT: Revise imports from collections.abc module +* `#15362 <https://github.com/numpy/numpy/pull/15362>`__: MAINT: remove internal functions required to handle Python2/3... +* `#15364 <https://github.com/numpy/numpy/pull/15364>`__: MAINT: Remove other uses of six module +* `#15366 <https://github.com/numpy/numpy/pull/15366>`__: MAINT: resolve pyflake F403 'from module import *' used +* `#15368 <https://github.com/numpy/numpy/pull/15368>`__: MAINT: Update tox for supported Python versions +* `#15369 <https://github.com/numpy/numpy/pull/15369>`__: MAINT: simd: Avoid signed comparison warning +* `#15370 <https://github.com/numpy/numpy/pull/15370>`__: DOC: Updating Chararry Buffer datatypes #15360 +* `#15374 <https://github.com/numpy/numpy/pull/15374>`__: TST: Simplify unicode test +* `#15375 <https://github.com/numpy/numpy/pull/15375>`__: MAINT: Use `with open` when possible +* `#15377 <https://github.com/numpy/numpy/pull/15377>`__: MAINT: Cleanup python2 references +* `#15379 <https://github.com/numpy/numpy/pull/15379>`__: MAINT: Python2 Cleanups +* `#15381 <https://github.com/numpy/numpy/pull/15381>`__: DEP: add PendingDeprecation to matlib.py funky namespace +* `#15385 <https://github.com/numpy/numpy/pull/15385>`__: BUG, MAINT: Stop using the error-prone deprecated Py_UNICODE... +* `#15386 <https://github.com/numpy/numpy/pull/15386>`__: MAINT: clean up some macros in scalarapi.c +* `#15393 <https://github.com/numpy/numpy/pull/15393>`__: MAINT/BUG: Fixups to scalar base classes +* `#15397 <https://github.com/numpy/numpy/pull/15397>`__: BUG: np.load does not handle empty array with an empty descr +* `#15398 <https://github.com/numpy/numpy/pull/15398>`__: MAINT: Revise imports from urllib modules +* `#15399 <https://github.com/numpy/numpy/pull/15399>`__: MAINT: Remove Python3 DeprecationWarning from pytest.ini +* `#15400 <https://github.com/numpy/numpy/pull/15400>`__: MAINT: cleanup _pytesttester.py +* `#15401 <https://github.com/numpy/numpy/pull/15401>`__: BUG: Flags should not contain spaces +* `#15403 <https://github.com/numpy/numpy/pull/15403>`__: MAINT: Clean up, mostly unused imports. +* `#15405 <https://github.com/numpy/numpy/pull/15405>`__: BUG/TEST: core: Fix an undefined name in a test. +* `#15407 <https://github.com/numpy/numpy/pull/15407>`__: MAINT: Replace basestring with str. +* `#15408 <https://github.com/numpy/numpy/pull/15408>`__: ENH: Use AVX-512F for complex number arithmetic, absolute, square... +* `#15414 <https://github.com/numpy/numpy/pull/15414>`__: MAINT: Remove Python2 workarounds +* `#15417 <https://github.com/numpy/numpy/pull/15417>`__: MAINT: Cleanup references to python2 +* `#15418 <https://github.com/numpy/numpy/pull/15418>`__: MAINT, DOC: Remove use of old Python __builtin__, now known as... +* `#15421 <https://github.com/numpy/numpy/pull/15421>`__: ENH: Make use of ExitStack in npyio.py +* `#15422 <https://github.com/numpy/numpy/pull/15422>`__: MAINT: Inline gentype_getreadbuf +* `#15423 <https://github.com/numpy/numpy/pull/15423>`__: MAINT: Use f-strings for clarity. +* `#15427 <https://github.com/numpy/numpy/pull/15427>`__: DEP: Schedule unused C-API functions for removal/disabling +* `#15428 <https://github.com/numpy/numpy/pull/15428>`__: DOC: Improve ndarray.ctypes example +* `#15429 <https://github.com/numpy/numpy/pull/15429>`__: DOC: distutils: Add a docstring to show_config(). +* `#15430 <https://github.com/numpy/numpy/pull/15430>`__: MAINT: Use contextmanager in _run_doctests +* `#15434 <https://github.com/numpy/numpy/pull/15434>`__: MAINT: Updated polynomial to use fstrings +* `#15435 <https://github.com/numpy/numpy/pull/15435>`__: DOC: Fix Incorrect document in Beginner Docs +* `#15436 <https://github.com/numpy/numpy/pull/15436>`__: MAINT: Update core.py with fstrings (issue #15420) +* `#15439 <https://github.com/numpy/numpy/pull/15439>`__: DOC: fix docstrings so `python tools/refguide-check --rst <file>... +* `#15441 <https://github.com/numpy/numpy/pull/15441>`__: MAINT: Tidy macros in scalar_new +* `#15444 <https://github.com/numpy/numpy/pull/15444>`__: MAINT: use 'yield from <expr>' for simple cases +* `#15445 <https://github.com/numpy/numpy/pull/15445>`__: MAINT: Bump pytest from 5.3.3 to 5.3.4 +* `#15446 <https://github.com/numpy/numpy/pull/15446>`__: BUG: Reject nonsense arguments to scalar constructors +* `#15449 <https://github.com/numpy/numpy/pull/15449>`__: DOC: Update refguide_check note on how to skip code +* `#15451 <https://github.com/numpy/numpy/pull/15451>`__: MAINT: Simplify `np.object_.__new__` +* `#15452 <https://github.com/numpy/numpy/pull/15452>`__: STY,MAINT: avoid 'multiple imports on one line' +* `#15464 <https://github.com/numpy/numpy/pull/15464>`__: MAINT: Cleanup duplicate line in refguide_check +* `#15465 <https://github.com/numpy/numpy/pull/15465>`__: MAINT: cleanup unused imports; avoid redefinition of imports +* `#15468 <https://github.com/numpy/numpy/pull/15468>`__: BUG: Fix for SVD not always sorted with hermitian=True +* `#15469 <https://github.com/numpy/numpy/pull/15469>`__: MAINT: Simplify scalar __new__ some more +* `#15474 <https://github.com/numpy/numpy/pull/15474>`__: MAINT: Eliminate messy _WORK macro +* `#15476 <https://github.com/numpy/numpy/pull/15476>`__: update result of rng.random(3) to current rng output +* `#15480 <https://github.com/numpy/numpy/pull/15480>`__: DOC: Correct get_state doc +* `#15482 <https://github.com/numpy/numpy/pull/15482>`__: MAINT: Use `.identifier = val` to fill type structs +* `#15483 <https://github.com/numpy/numpy/pull/15483>`__: [DOC] Mention behaviour of np.squeeze with one element +* `#15484 <https://github.com/numpy/numpy/pull/15484>`__: ENH: fixing generic error messages to be more specific in multiarray/descriptor.c +* `#15487 <https://github.com/numpy/numpy/pull/15487>`__: BUG: Fixing result of np quantile edge case +* `#15491 <https://github.com/numpy/numpy/pull/15491>`__: TST: mark the top 3 slowest tests to save ~10 seconds +* `#15493 <https://github.com/numpy/numpy/pull/15493>`__: MAINT: Bump pytest from 5.3.4 to 5.3.5 +* `#15500 <https://github.com/numpy/numpy/pull/15500>`__: MAINT: Use True/False instead of 1/0 in np.dtype.__reduce__ +* `#15503 <https://github.com/numpy/numpy/pull/15503>`__: MAINT: Do not allow `copyswap` and friends to fail silently +* `#15504 <https://github.com/numpy/numpy/pull/15504>`__: DOC: Remove duplicated code in true_divide docstring +* `#15505 <https://github.com/numpy/numpy/pull/15505>`__: NEP 40: Informational NEP about current DTypes +* `#15510 <https://github.com/numpy/numpy/pull/15510>`__: DOC: Update unique docstring example +* `#15511 <https://github.com/numpy/numpy/pull/15511>`__: MAINT: Large overhead in some random functions +* `#15516 <https://github.com/numpy/numpy/pull/15516>`__: TST: Fix missing output in refguide-check +* `#15521 <https://github.com/numpy/numpy/pull/15521>`__: MAINT: Simplify arraydescr_richcompare +* `#15522 <https://github.com/numpy/numpy/pull/15522>`__: MAINT: Fix internal misuses of `NPY_TITLE_KEY` +* `#15524 <https://github.com/numpy/numpy/pull/15524>`__: DOC: Update instructions for building/archiving docs. +* `#15526 <https://github.com/numpy/numpy/pull/15526>`__: BUG: Fix inline assembly that detects cpu features on x86(32bit) +* `#15532 <https://github.com/numpy/numpy/pull/15532>`__: update doctests, small bugs and changes of repr +* `#15534 <https://github.com/numpy/numpy/pull/15534>`__: DEP: Do not allow "abstract" dtype conversion/creation +* `#15536 <https://github.com/numpy/numpy/pull/15536>`__: DOC: Minor copyediting on NEP 37. +* `#15538 <https://github.com/numpy/numpy/pull/15538>`__: MAINT: Extract repeated code to a helper function +* `#15543 <https://github.com/numpy/numpy/pull/15543>`__: NEP: edit and move NEP 38 to accepted status +* `#15547 <https://github.com/numpy/numpy/pull/15547>`__: MAINT: Refresh Doxyfile and modernize numpyfilter.py +* `#15549 <https://github.com/numpy/numpy/pull/15549>`__: TST: Accuracy test float32 sin/cos/exp/log for AVX platforms +* `#15550 <https://github.com/numpy/numpy/pull/15550>`__: DOC: Improve the `numpy.linalg.eig` docstring. +* `#15554 <https://github.com/numpy/numpy/pull/15554>`__: NEP 44 - Restructuring the NumPy Documentation +* `#15556 <https://github.com/numpy/numpy/pull/15556>`__: TST: (Travis CI) Use full python3-dbg path for virtual env creation +* `#15560 <https://github.com/numpy/numpy/pull/15560>`__: BUG, DOC: restore missing import +* `#15566 <https://github.com/numpy/numpy/pull/15566>`__: DOC: Removing bad practices from quick start + some PEP8 +* `#15574 <https://github.com/numpy/numpy/pull/15574>`__: TST: Do not create symbolic link named gfortran. +* `#15575 <https://github.com/numpy/numpy/pull/15575>`__: DOC: Document caveat in random.uniform +* `#15579 <https://github.com/numpy/numpy/pull/15579>`__: DOC: numpy.clip is equivalent to minimum(..., maximum(...)) +* `#15582 <https://github.com/numpy/numpy/pull/15582>`__: MAINT: Bump cython from 0.29.14 to 0.29.15 +* `#15583 <https://github.com/numpy/numpy/pull/15583>`__: MAINT: Bump hypothesis from 5.3.0 to 5.5.4 +* `#15585 <https://github.com/numpy/numpy/pull/15585>`__: BLD: manylinux2010 docker reports machine=i686 +* `#15598 <https://github.com/numpy/numpy/pull/15598>`__: BUG: Ignore differences in NAN for computing ULP differences +* `#15600 <https://github.com/numpy/numpy/pull/15600>`__: TST: use manylinux2010 docker instead of ubuntu +* `#15610 <https://github.com/numpy/numpy/pull/15610>`__: TST: mask DeprecationWarning in xfailed test +* `#15612 <https://github.com/numpy/numpy/pull/15612>`__: BUG: Fix bug in AVX-512F np.maximum and np.minimum +* `#15615 <https://github.com/numpy/numpy/pull/15615>`__: BUG: Remove check requiring natural alignment of float/double... +* `#15616 <https://github.com/numpy/numpy/pull/15616>`__: DOC: Add missing imports, definitions and dummy file +* `#15619 <https://github.com/numpy/numpy/pull/15619>`__: DOC: Fix documentation for apply_along_axis +* `#15624 <https://github.com/numpy/numpy/pull/15624>`__: DOC: fix printing, np., deprecation for refguide +* `#15631 <https://github.com/numpy/numpy/pull/15631>`__: MAINT: Pull identical line out of conditional. +* `#15633 <https://github.com/numpy/numpy/pull/15633>`__: DOC: remove broken link in f2py tutorial +* `#15639 <https://github.com/numpy/numpy/pull/15639>`__: BLD: update openblas download to new location, use manylinux2010-base +* `#15648 <https://github.com/numpy/numpy/pull/15648>`__: MAINT: AVX512 implementation with intrinsic for float64 input... +* `#15653 <https://github.com/numpy/numpy/pull/15653>`__: BLD: update OpenBLAS to pre-0.3.9 version +* `#15662 <https://github.com/numpy/numpy/pull/15662>`__: DOC: Refactor `np.polynomial` docs using `automodule` +* `#15665 <https://github.com/numpy/numpy/pull/15665>`__: BUG: fix doctest exception messages +* `#15672 <https://github.com/numpy/numpy/pull/15672>`__: MAINT: Added comment pointing FIXME to relevant PR. +* `#15673 <https://github.com/numpy/numpy/pull/15673>`__: DOC: Make extension module wording more clear +* `#15678 <https://github.com/numpy/numpy/pull/15678>`__: DOC: Improve np.finfo docs +* `#15680 <https://github.com/numpy/numpy/pull/15680>`__: DOC: Improve Benchmark README with environment setup and more... +* `#15682 <https://github.com/numpy/numpy/pull/15682>`__: MAINT: Bump hypothesis from 5.5.4 to 5.6.0 +* `#15683 <https://github.com/numpy/numpy/pull/15683>`__: NEP: move NEP 44 to accepted status +* `#15694 <https://github.com/numpy/numpy/pull/15694>`__: DOC: Fix indexing docs to pass refguide +* `#15695 <https://github.com/numpy/numpy/pull/15695>`__: MAINT: Test during import to detect bugs with Accelerate(MacOS)... +* `#15696 <https://github.com/numpy/numpy/pull/15696>`__: MAINT: Add a fast path to var for complex input +* `#15701 <https://github.com/numpy/numpy/pull/15701>`__: MAINT: Convert shebang from python to python3 (#15687) +* `#15702 <https://github.com/numpy/numpy/pull/15702>`__: MAINT: replace optparse with argparse for 'doc' and 'tools' scripts +* `#15703 <https://github.com/numpy/numpy/pull/15703>`__: DOC: Fix quickstart doc to pass refguide +* `#15706 <https://github.com/numpy/numpy/pull/15706>`__: MAINT: Fixing typos in f2py comments and code. +* `#15710 <https://github.com/numpy/numpy/pull/15710>`__: DOC: fix SVD tutorial to pass refguide +* `#15714 <https://github.com/numpy/numpy/pull/15714>`__: MAINT: use list-based APIs to call subprocesses +* `#15715 <https://github.com/numpy/numpy/pull/15715>`__: ENH: update numpy.linalg.multi_dot to accept an `out` argument +* `#15716 <https://github.com/numpy/numpy/pull/15716>`__: TST: always use 'python -mpip' not 'pip' +* `#15717 <https://github.com/numpy/numpy/pull/15717>`__: DOC: update datetime reference to pass refguide +* `#15718 <https://github.com/numpy/numpy/pull/15718>`__: DOC: Fix coremath.rst to fix refguide_check +* `#15720 <https://github.com/numpy/numpy/pull/15720>`__: DOC: fix remaining doc files for refguide_check +* `#15723 <https://github.com/numpy/numpy/pull/15723>`__: BUG: fix logic error when nm fails on 32-bit +* `#15724 <https://github.com/numpy/numpy/pull/15724>`__: TST: Remove nose from the test_requirements.txt file. +* `#15733 <https://github.com/numpy/numpy/pull/15733>`__: DOC: Allow NEPs to link to python, numpy, scipy, and matplotlib... +* `#15736 <https://github.com/numpy/numpy/pull/15736>`__: BUG: Guarantee array is in valid state after memory error occurs... +* `#15738 <https://github.com/numpy/numpy/pull/15738>`__: MAINT: Remove non-native byte order from _var check. +* `#15740 <https://github.com/numpy/numpy/pull/15740>`__: MAINT: Add better error handling in linalg.norm for vectors and... +* `#15745 <https://github.com/numpy/numpy/pull/15745>`__: MAINT: doc: Remove doc/summarize.py +* `#15747 <https://github.com/numpy/numpy/pull/15747>`__: BUG: lib: Handle axes with length 0 in np.unique. +* `#15749 <https://github.com/numpy/numpy/pull/15749>`__: DOC: document inconsistency between the shape of data and mask... +* `#15750 <https://github.com/numpy/numpy/pull/15750>`__: BUG, TST: fix f2py for PyPy, skip one test for PyPy +* `#15752 <https://github.com/numpy/numpy/pull/15752>`__: MAINT: Fix swig tests issue #15743 +* `#15757 <https://github.com/numpy/numpy/pull/15757>`__: MAINT: CI: Add an explicit 'pr' section to azure-pipelines.yml +* `#15762 <https://github.com/numpy/numpy/pull/15762>`__: MAINT: Bump pytest from 5.3.5 to 5.4.1 +* `#15766 <https://github.com/numpy/numpy/pull/15766>`__: BUG,MAINT: Remove incorrect special case in string to number... +* `#15768 <https://github.com/numpy/numpy/pull/15768>`__: REL: Update master after 1.18.2 release. +* `#15769 <https://github.com/numpy/numpy/pull/15769>`__: ENH: Allow toggling madvise hugepage and fix default +* `#15771 <https://github.com/numpy/numpy/pull/15771>`__: DOC: Fix runtests example in developer docs +* `#15773 <https://github.com/numpy/numpy/pull/15773>`__: DEP: Make issubdtype consistent for types and dtypes +* `#15774 <https://github.com/numpy/numpy/pull/15774>`__: MAINT: remove useless `global` statements +* `#15778 <https://github.com/numpy/numpy/pull/15778>`__: BLD: Add requirements.txt file for building docs +* `#15781 <https://github.com/numpy/numpy/pull/15781>`__: BUG: don't add 'public' or 'private' if the other one exists +* `#15784 <https://github.com/numpy/numpy/pull/15784>`__: ENH: Use TypeError in `np.array` for python consistency +* `#15794 <https://github.com/numpy/numpy/pull/15794>`__: BUG: Add basic __format__ for masked element to fix incorrect... +* `#15797 <https://github.com/numpy/numpy/pull/15797>`__: TST: Add unit test for out=None of np.einsum +* `#15799 <https://github.com/numpy/numpy/pull/15799>`__: MAINT: Cleanups to np.insert and np.delete +* `#15800 <https://github.com/numpy/numpy/pull/15800>`__: BUG: Add error-checking versions of strided casts. +* `#15802 <https://github.com/numpy/numpy/pull/15802>`__: DEP: Make `np.insert` and `np.delete` on 0d arrays with an axis... +* `#15803 <https://github.com/numpy/numpy/pull/15803>`__: DOC: correct possible list lengths for `extobj` in ufunc calls +* `#15804 <https://github.com/numpy/numpy/pull/15804>`__: DEP: Make np.delete on out-of-bounds indices an error +* `#15805 <https://github.com/numpy/numpy/pull/15805>`__: DEP: Forbid passing non-integral index arrays to `insert` and... +* `#15806 <https://github.com/numpy/numpy/pull/15806>`__: TST: Parametrize sort test +* `#15809 <https://github.com/numpy/numpy/pull/15809>`__: TST: switch PyPy job with CPython +* `#15812 <https://github.com/numpy/numpy/pull/15812>`__: TST: Remove code that is not supposed to warn out of warning... +* `#15815 <https://github.com/numpy/numpy/pull/15815>`__: DEP: Do not cast boolean indices to integers in np.delete +* `#15816 <https://github.com/numpy/numpy/pull/15816>`__: MAINT: simplify code that assumes str/unicode and int/long are... +* `#15830 <https://github.com/numpy/numpy/pull/15830>`__: MAINT: pathlib and hashlib are in stdlib in Python 3.5+ +* `#15832 <https://github.com/numpy/numpy/pull/15832>`__: ENH: improved error message `IndexError: too many indices for... +* `#15836 <https://github.com/numpy/numpy/pull/15836>`__: BUG: Fix IndexError for illegal axis in np.mean +* `#15839 <https://github.com/numpy/numpy/pull/15839>`__: DOC: Minor fix to _hist_bin_fd documentation +* `#15840 <https://github.com/numpy/numpy/pull/15840>`__: BUG,DEP: Make `scalar.__round__()` behave like pythons round +* `#15843 <https://github.com/numpy/numpy/pull/15843>`__: DOC: First steps towards docs restructuring (NEP 44) +* `#15848 <https://github.com/numpy/numpy/pull/15848>`__: DOC, TST: enable refguide_check in circleci +* `#15850 <https://github.com/numpy/numpy/pull/15850>`__: DOC: fix typo in C-API reference +* `#15854 <https://github.com/numpy/numpy/pull/15854>`__: DOC: Fix docstring for _hist_bin_auto. +* `#15866 <https://github.com/numpy/numpy/pull/15866>`__: MAINT: Bump cython from 0.29.15 to 0.29.16 +* `#15867 <https://github.com/numpy/numpy/pull/15867>`__: DEP: Deprecate ndarray.tostring() +* `#15868 <https://github.com/numpy/numpy/pull/15868>`__: TST: use draft OpenBLAS build +* `#15872 <https://github.com/numpy/numpy/pull/15872>`__: BUG: Fix eigh and cholesky methods of numpy.random.multivariate_normal +* `#15876 <https://github.com/numpy/numpy/pull/15876>`__: BUG: Check that `pvals` is 1D in `_generator.multinomial`. +* `#15877 <https://github.com/numpy/numpy/pull/15877>`__: DOC: Add missing signature from nditer docstring +* `#15881 <https://github.com/numpy/numpy/pull/15881>`__: BUG: Fix empty_like to respect shape=() +* `#15882 <https://github.com/numpy/numpy/pull/15882>`__: BUG: Do not ignore empty tuple of strides in ndarray.__new__ +* `#15883 <https://github.com/numpy/numpy/pull/15883>`__: MAINT: Remove duplicated code in iotools.py +* `#15884 <https://github.com/numpy/numpy/pull/15884>`__: BUG: Setting a 0d array's strides to themselves should be legal +* `#15885 <https://github.com/numpy/numpy/pull/15885>`__: BUG: Respect itershape=() in nditer +* `#15887 <https://github.com/numpy/numpy/pull/15887>`__: MAINT: Clean-up 'next = __next__' used for Python 2 compatibility +* `#15893 <https://github.com/numpy/numpy/pull/15893>`__: TST: Run test_large_zip in a child process +* `#15894 <https://github.com/numpy/numpy/pull/15894>`__: DOC: Add missing doc of numpy.ma.apply_over_axes in API list. +* `#15899 <https://github.com/numpy/numpy/pull/15899>`__: DOC: Improve record module documentation +* `#15901 <https://github.com/numpy/numpy/pull/15901>`__: DOC: Fixed order of items and link to mailing list in dev docs... +* `#15903 <https://github.com/numpy/numpy/pull/15903>`__: BLD: report clang version on macOS +* `#15904 <https://github.com/numpy/numpy/pull/15904>`__: MAINT: records: Remove private `format_parser._descr` attribute +* `#15914 <https://github.com/numpy/numpy/pull/15914>`__: BUG: random: Disallow p=0 in negative_binomial +* `#15921 <https://github.com/numpy/numpy/pull/15921>`__: ENH: Use sysconfig instead of probing Makefile +* `#15928 <https://github.com/numpy/numpy/pull/15928>`__: DOC: Update np.copy docstring to include ragged case +* `#15931 <https://github.com/numpy/numpy/pull/15931>`__: DOC: Correct private function name to PyArray_AdaptFlexibleDType +* `#15936 <https://github.com/numpy/numpy/pull/15936>`__: MAINT: Fix capitalization in error message in `mtrand.pyx` +* `#15939 <https://github.com/numpy/numpy/pull/15939>`__: DOC: Update np.rollaxis docstring +* `#15949 <https://github.com/numpy/numpy/pull/15949>`__: BUG: fix AttributeError on accessing object in nested MaskedArray. +* `#15951 <https://github.com/numpy/numpy/pull/15951>`__: BUG: Alpha parameter must be 1D in `generator.dirichlet` +* `#15953 <https://github.com/numpy/numpy/pull/15953>`__: NEP: minor maintenance, update filename and fix a cross-reference +* `#15964 <https://github.com/numpy/numpy/pull/15964>`__: MAINT: Bump hypothesis from 5.8.0 to 5.8.3 +* `#15967 <https://github.com/numpy/numpy/pull/15967>`__: TST: Add slow_pypy support +* `#15968 <https://github.com/numpy/numpy/pull/15968>`__: DOC: Added note to angle function docstring about angle(0) being... +* `#15982 <https://github.com/numpy/numpy/pull/15982>`__: MAINT/BUG: Cleanup and minor fixes to conform_reduce_result +* `#15985 <https://github.com/numpy/numpy/pull/15985>`__: BUG: Avoid duplication in stack trace of `linspace(a, b, num=1.5)` +* `#15988 <https://github.com/numpy/numpy/pull/15988>`__: BUG: Fix inf and NaN-warnings in half float `nextafter` +* `#15989 <https://github.com/numpy/numpy/pull/15989>`__: MAINT: Remove 0d check for PyArray_ISONESEGMENT +* `#15990 <https://github.com/numpy/numpy/pull/15990>`__: DEV: Pass additional runtests.py args to ASV +* `#15993 <https://github.com/numpy/numpy/pull/15993>`__: DOC: Fix method documentation of function sort in MaskedArray +* `#16000 <https://github.com/numpy/numpy/pull/16000>`__: NEP: Improve Value Based Casting paragraph in NEP 40 +* `#16001 <https://github.com/numpy/numpy/pull/16001>`__: DOC: add note on flatten ordering in matlab page +* `#16007 <https://github.com/numpy/numpy/pull/16007>`__: TST: Add tests for the conversion utilities +* `#16008 <https://github.com/numpy/numpy/pull/16008>`__: BUG: Unify handling of string enum converters +* `#16009 <https://github.com/numpy/numpy/pull/16009>`__: MAINT: Replace npyiter_order_converter with PyArray_OrderConverter +* `#16010 <https://github.com/numpy/numpy/pull/16010>`__: BUG: Fix lexsort axis check +* `#16011 <https://github.com/numpy/numpy/pull/16011>`__: DOC: Clarify single-segment arrays in np reference +* `#16014 <https://github.com/numpy/numpy/pull/16014>`__: DOC: Change import error "howto" to link to new troubleshooting... +* `#16015 <https://github.com/numpy/numpy/pull/16015>`__: DOC: update first section of NEP 37 (``__array_function__`` downsides) +* `#16021 <https://github.com/numpy/numpy/pull/16021>`__: REL: Update master after 1.18.3 release. +* `#16024 <https://github.com/numpy/numpy/pull/16024>`__: MAINT: Bump hypothesis from 5.8.3 to 5.10.1 +* `#16025 <https://github.com/numpy/numpy/pull/16025>`__: DOC: initialise random number generator before first use in quickstart +* `#16032 <https://github.com/numpy/numpy/pull/16032>`__: ENH: Fix exception causes in build_clib.py +* `#16038 <https://github.com/numpy/numpy/pull/16038>`__: MAINT,TST: Move _repr_latex tests to test_printing. +* `#16041 <https://github.com/numpy/numpy/pull/16041>`__: BUG: missing 'f' prefix for fstring +* `#16042 <https://github.com/numpy/numpy/pull/16042>`__: ENH: Fix exception causes in build_ext.py +* `#16053 <https://github.com/numpy/numpy/pull/16053>`__: DOC: Small typo fixes to NEP 40. +* `#16054 <https://github.com/numpy/numpy/pull/16054>`__: DOC, BLD: update release howto and walkthrough for ananconda.org... +* `#16061 <https://github.com/numpy/numpy/pull/16061>`__: ENH: Chained exceptions in linalg.py and polyutils.py +* `#16064 <https://github.com/numpy/numpy/pull/16064>`__: MAINT: Chain exceptions in several places. +* `#16067 <https://github.com/numpy/numpy/pull/16067>`__: MAINT: Chain exceptions in memmap.py and core.py +* `#16068 <https://github.com/numpy/numpy/pull/16068>`__: BUG: Fix string to bool cast regression +* `#16069 <https://github.com/numpy/numpy/pull/16069>`__: DOC: Added page describing how to contribute to the docs team +* `#16075 <https://github.com/numpy/numpy/pull/16075>`__: DOC: add a note on sampling 2-D arrays to random.choice docstring +* `#16076 <https://github.com/numpy/numpy/pull/16076>`__: BUG: random: Generator.integers(2**32) always returned 0. +* `#16077 <https://github.com/numpy/numpy/pull/16077>`__: BLD: fix path to libgfortran on macOS +* `#16078 <https://github.com/numpy/numpy/pull/16078>`__: DOC: Add axis to random module "new or different" docs +* `#16079 <https://github.com/numpy/numpy/pull/16079>`__: DOC,BLD: Limit timeit iterations in random docs. +* `#16081 <https://github.com/numpy/numpy/pull/16081>`__: DOC: add note on type casting to numpy.left_shift(). +* `#16083 <https://github.com/numpy/numpy/pull/16083>`__: DOC: improve development debugging doc +* `#16084 <https://github.com/numpy/numpy/pull/16084>`__: DOC: tweak neps/scope.rst +* `#16085 <https://github.com/numpy/numpy/pull/16085>`__: MAINT: Bump cython from 0.29.16 to 0.29.17 +* `#16086 <https://github.com/numpy/numpy/pull/16086>`__: MAINT: Bump hypothesis from 5.10.1 to 5.10.4 +* `#16094 <https://github.com/numpy/numpy/pull/16094>`__: TST: use latest released PyPy instead of nightly builds +* `#16097 <https://github.com/numpy/numpy/pull/16097>`__: MAINT, DOC: Improve grammar on a comment in the quickstart +* `#16100 <https://github.com/numpy/numpy/pull/16100>`__: NEP 41: Accept NEP 41 and add DType<->scalar duplication paragraph +* `#16101 <https://github.com/numpy/numpy/pull/16101>`__: BLD: put openblas library in local directory on windows +* `#16113 <https://github.com/numpy/numpy/pull/16113>`__: MAINT: Fix random.PCG64 signature +* `#16119 <https://github.com/numpy/numpy/pull/16119>`__: DOC: Move misplaced news fragment for gh-13421 +* `#16122 <https://github.com/numpy/numpy/pull/16122>`__: DOC: Fix links for NEP 40 in NEP 41 +* `#16125 <https://github.com/numpy/numpy/pull/16125>`__: BUG: lib: Fix a problem with vectorize with default parameters. +* `#16129 <https://github.com/numpy/numpy/pull/16129>`__: ENH: Better error message when ``bins`` has float value in ``histogramdd``. +* `#16133 <https://github.com/numpy/numpy/pull/16133>`__: MAINT: Unify casting error creation (outside the iterator) +* `#16141 <https://github.com/numpy/numpy/pull/16141>`__: BENCH: Default to building HEAD instead of master +* `#16144 <https://github.com/numpy/numpy/pull/16144>`__: REL: Update master after NumPy 1.18.4 release +* `#16145 <https://github.com/numpy/numpy/pull/16145>`__: DOC: Add VSCode help link to importerror troubleshooting +* `#16147 <https://github.com/numpy/numpy/pull/16147>`__: CI: pin 32-bit manylinux2010 image tag +* `#16151 <https://github.com/numpy/numpy/pull/16151>`__: MAINT: Bump pytz from 2019.3 to 2020.1 +* `#16153 <https://github.com/numpy/numpy/pull/16153>`__: BUG: Correct loop order in MT19937 jump +* `#16155 <https://github.com/numpy/numpy/pull/16155>`__: CI: unpin 32-bit manylinux2010 image tag +* `#16162 <https://github.com/numpy/numpy/pull/16162>`__: BUG: add missing numpy/__init__.pxd to the wheel +* `#16168 <https://github.com/numpy/numpy/pull/16168>`__: BUG:Umath remove unnecessary include of simd.inc in fast_loop_macro.h +* `#16169 <https://github.com/numpy/numpy/pull/16169>`__: DOC,BLD: Add :doc: to whitelisted roles in refguide_check. +* `#16170 <https://github.com/numpy/numpy/pull/16170>`__: ENH: resync numpy/__init__.pxd with upstream +* `#16171 <https://github.com/numpy/numpy/pull/16171>`__: ENH: allow choosing which manylinux artifact to download +* `#16173 <https://github.com/numpy/numpy/pull/16173>`__: MAINT: Mark tests as a subpackage rather than data. +* `#16182 <https://github.com/numpy/numpy/pull/16182>`__: Update Docs : point users of np.outer to np.multiply.outer +* `#16183 <https://github.com/numpy/numpy/pull/16183>`__: DOC: Fix link to numpy docs in README. +* `#16185 <https://github.com/numpy/numpy/pull/16185>`__: ENH: Allow pickle with protocol 5 when higher is requested +* `#16188 <https://github.com/numpy/numpy/pull/16188>`__: MAINT: cleanups to _iotools.StringConverter +* `#16197 <https://github.com/numpy/numpy/pull/16197>`__: DOC: Unify cross-references between array joining methods +* `#16199 <https://github.com/numpy/numpy/pull/16199>`__: DOC: Improve docstring of ``numpy.core.records`` +* `#16201 <https://github.com/numpy/numpy/pull/16201>`__: DOC: update Code of Conduct committee +* `#16203 <https://github.com/numpy/numpy/pull/16203>`__: MAINT: Bump hypothesis from 5.10.4 to 5.12.0 +* `#16204 <https://github.com/numpy/numpy/pull/16204>`__: MAINT: Bump pytest from 5.4.1 to 5.4.2 +* `#16210 <https://github.com/numpy/numpy/pull/16210>`__: DOC: warn about runtime of shares_memory +* `#16213 <https://github.com/numpy/numpy/pull/16213>`__: ENH: backport scipy changes to openblas download script +* `#16214 <https://github.com/numpy/numpy/pull/16214>`__: BUG: skip complex256 arcsinh precision test on glibc2.17 +* `#16215 <https://github.com/numpy/numpy/pull/16215>`__: MAINT: Chain exceptions and use NameError in np.bmat +* `#16216 <https://github.com/numpy/numpy/pull/16216>`__: DOC,BLD: pin sphinx to <3.0 in doc_requirements.txt +* `#16223 <https://github.com/numpy/numpy/pull/16223>`__: BUG: fix signature of PyArray_SearchSorted in __init__.pxd +* `#16224 <https://github.com/numpy/numpy/pull/16224>`__: ENH: add manylinux1 openblas hashes +* `#16226 <https://github.com/numpy/numpy/pull/16226>`__: DOC: Fix Generator.choice docstring +* `#16227 <https://github.com/numpy/numpy/pull/16227>`__: DOC: Add PyDev instructions to troubleshooting doc +* `#16228 <https://github.com/numpy/numpy/pull/16228>`__: DOC: Add Clang and MSVC to supported compilers list +* `#16240 <https://github.com/numpy/numpy/pull/16240>`__: DOC: Warn about behavior of ptp with signed integers. +* `#16258 <https://github.com/numpy/numpy/pull/16258>`__: DOC: Update the f2py section of the "Using Python as Glue" page. +* `#16263 <https://github.com/numpy/numpy/pull/16263>`__: BUG: Add missing decref in fromarray error path +* `#16265 <https://github.com/numpy/numpy/pull/16265>`__: ENH: Add tool for downloading release wheels from Anaconda. +* `#16269 <https://github.com/numpy/numpy/pull/16269>`__: DOC: Fix typos and cosmetic issues +* `#16280 <https://github.com/numpy/numpy/pull/16280>`__: REL: Prepare for the 1.19.0 release +* `#16293 <https://github.com/numpy/numpy/pull/16293>`__: BUG: Fix tools/download-wheels.py. +* `#16301 <https://github.com/numpy/numpy/pull/16301>`__: BUG: Require Python >= 3.6 in setup.py +* `#16312 <https://github.com/numpy/numpy/pull/16312>`__: BUG: relpath fails for different drives on windows +* `#16314 <https://github.com/numpy/numpy/pull/16314>`__: DOC: Fix documentation rendering, +* `#16341 <https://github.com/numpy/numpy/pull/16341>`__: BUG: Don't segfault on bad __len__ when assigning. (gh-16327) +* `#16342 <https://github.com/numpy/numpy/pull/16342>`__: MAINT: Stop Using PyEval_Call* and simplify some uses +* `#16343 <https://github.com/numpy/numpy/pull/16343>`__: BLD: Avoid "visibility attribute not supported" warning. +* `#16344 <https://github.com/numpy/numpy/pull/16344>`__: BUG: Allow attaching documentation twice in add_docstring +* `#16355 <https://github.com/numpy/numpy/pull/16355>`__: MAINT: Remove f-strings in setup.py. (gh-16346) +* `#16356 <https://github.com/numpy/numpy/pull/16356>`__: BUG: Indentation for docstrings +* `#16358 <https://github.com/numpy/numpy/pull/16358>`__: BUG: Fix dtype leak in `PyArray_FromAny` error path +* `#16383 <https://github.com/numpy/numpy/pull/16383>`__: ENH: Optimize Cpu feature detect in X86, fix for GCC on macOS... +* `#16398 <https://github.com/numpy/numpy/pull/16398>`__: MAINT: core: Use a raw string for the fromstring docstring. +* `#16399 <https://github.com/numpy/numpy/pull/16399>`__: MAINT: Make ctypes optional on Windows +* `#16400 <https://github.com/numpy/numpy/pull/16400>`__: BUG: Fix small leaks in error path and ``empty_like`` with shape +* `#16402 <https://github.com/numpy/numpy/pull/16402>`__: TST, MAINT: Fix detecting and testing armhf features +* `#16412 <https://github.com/numpy/numpy/pull/16412>`__: DOC,BLD: Update sphinx conf to use xelatex. +* `#16413 <https://github.com/numpy/numpy/pull/16413>`__: DOC,BLD: Update make dist html target. +* `#16414 <https://github.com/numpy/numpy/pull/16414>`__: MAINT, DOC: add index for user docs. +* `#16437 <https://github.com/numpy/numpy/pull/16437>`__: MAINT: support python 3.10 +* `#16456 <https://github.com/numpy/numpy/pull/16456>`__: DOC: Fix troubleshooting code snippet when env vars are empty +* `#16457 <https://github.com/numpy/numpy/pull/16457>`__: REL: Prepare for the NumPy 1.19.0rc2 release. +* `#16526 <https://github.com/numpy/numpy/pull/16526>`__: MAINT:ARMHF Fix detecting feature groups NEON_HALF and NEON_VFPV4 +* `#16527 <https://github.com/numpy/numpy/pull/16527>`__: BUG:random: Error when ``size`` is smaller than broadcast input... +* `#16528 <https://github.com/numpy/numpy/pull/16528>`__: BUG: fix GCC 10 major version comparison +* `#16563 <https://github.com/numpy/numpy/pull/16563>`__: BUG: Ensure SeedSequence 0-padding does not collide with spawn... +* `#16586 <https://github.com/numpy/numpy/pull/16586>`__: BUG: fix sin/cos bug when input is strided array +* `#16602 <https://github.com/numpy/numpy/pull/16602>`__: MAINT: Move and improve ``test_ignore_nan_ulperror``. +* `#16645 <https://github.com/numpy/numpy/pull/16645>`__: REL: Update 1.19.0-changelog.rst for 1.19.0 release. diff --git a/doc/source/release/1.19.0-notes.rst b/doc/source/release/1.19.0-notes.rst index b40969550..8f5c2c0ce 100644 --- a/doc/source/release/1.19.0-notes.rst +++ b/doc/source/release/1.19.0-notes.rst @@ -1,113 +1,47 @@ +.. currentmodule:: numpy + ========================== NumPy 1.19.0 Release Notes ========================== +This NumPy release is marked by the removal of much technical debt: support for +Python 2 has been removed, many deprecations have been expired, and +documentation has been improved. The polishing of the random module continues +apace with bug fixes and better usability from Cython. + +The Python versions supported for this release are 3.6-3.8. Downstream +developers should use Cython >= 0.29.16 for Python 3.8 support and +OpenBLAS >= 3.7 to avoid problems on the Skylake architecture. Highlights ========== -* Code compatibility with Python versions < 3.5 (including Python 2) was - dropped from both the python and C code. The shims in numpy.compat will +* Code compatibility with Python versions < 3.6 (including Python 2) was + dropped from both the python and C code. The shims in ``numpy.compat`` will remain to support third-party packages, but they may be deprecated in a - future release. + future release. Note that 1.19.x will *not* compile with earlier versions of + Python due to the use of f-strings. (`gh-15233 <https://github.com/numpy/numpy/pull/15233>`__) -Deprecations -============ - - -Deprecate automatic ``dtype=object`` for ragged input ------------------------------------------------------ -Calling ``np.array([[1, [1, 2, 3]])`` will issue a ``DeprecationWarning`` as -per `NEP 34`_. Users should explicitly use ``dtype=object`` to avoid the -warning. - -.. _`NEP 34`: https://numpy.org/neps/nep-0034-infer-dtype-is-object.html - -(`gh-15119 <https://github.com/numpy/numpy/pull/15119>`__) - -Passing ``shape=0`` to factory functions in ``numpy.rec`` is deprecated ------------------------------------------------------------------------ - -``0`` is treated as a special case and is aliased to ``None`` in the functions: - -* `numpy.core.records.fromarrays` -* `numpy.core.records.fromrecords` -* `numpy.core.records.fromstring` -* `numpy.core.records.fromfile` - -In future, ``0`` will not be special cased, and will be treated as an array -length like any other integer. - -(`gh-15217 <https://github.com/numpy/numpy/pull/15217>`__) - -Deprecation of probably unused C-API functions ----------------------------------------------- -The following C-API functions are probably unused and have been -deprecated: - -* ``PyArray_GetArrayParamsFromObject`` -* ``PyUFunc_GenericFunction`` -* ``PyUFunc_SetUsesArraysAsData`` - -In most cases ``PyArray_GetArrayParamsFromObject`` should be replaced -by converting to an array, while ``PyUFunc_GenericFunction`` can be -replaced with ``PyObject_Call`` (see documentation for details). - -(`gh-15427 <https://github.com/numpy/numpy/pull/15427>`__) - -Converting certain types to dtypes is Deprecated ------------------------------------------------- -The super classes of scalar types, such as ``np.integer``, ``np.generic``, -or ``np.inexact`` will now give a deprecation warning when converted -to a dtype (or used in a dtype keyword argument). -The reason for this is that `np.integer` is converted to ``np.int_``, -while it would be expected to represent *any* integer (e.g. also -``int8``, ``int16``, etc. -For example, ``dtype=np.floating`` is currently identical to -``dtype=np.float64``, even though also ``np.float32`` is a subclass of -``np.floating``. - -(`gh-15534 <https://github.com/numpy/numpy/pull/15534>`__) - -Deprecation of `round` for ``np.complexfloating`` scalars ------------------------------------------------------------ - -Output of the ``__round__`` dunder method and consequently the Python built-in -`round` has been deprecated on complex scalars. This does not affect -`np.round`. - -(`gh-15840 <https://github.com/numpy/numpy/pull/15840>`__) - -``numpy.ndarray.tostring()`` is deprecated in favor of ``tobytes()`` --------------------------------------------------------------------- -`~numpy.ndarray.tobytes` has existed since the 1.9 release, but until this -release `~numpy.ndarray.tostring` emitted no warning. The change to emit a -warning brings NumPy in line with the builtin `array.array` methods of the -same name. - -(`gh-15867 <https://github.com/numpy/numpy/pull/15867>`__) - - Expired deprecations ==================== -`numpy.insert` and `numpy.delete` can no longer be passed an axis on 0d arrays ------------------------------------------------------------------------------- +``numpy.insert`` and ``numpy.delete`` can no longer be passed an axis on 0d arrays +---------------------------------------------------------------------------------- This concludes a deprecation from 1.9, where when an ``axis`` argument was -passed to a call to `~numpy.insert` and `~numpy.delete` on a 0d array, the +passed to a call to ``~numpy.insert`` and ``~numpy.delete`` on a 0d array, the ``axis`` and ``obj`` argument and indices would be completely ignored. In these cases, ``insert(arr, "nonsense", 42, axis=0)`` would actually overwrite the entire array, while ``delete(arr, "nonsense", axis=0)`` would be ``arr.copy()`` -Now passing ``axis`` on a 0d array raises `~numpy.AxisError`. +Now passing ``axis`` on a 0d array raises ``~numpy.AxisError``. (`gh-15802 <https://github.com/numpy/numpy/pull/15802>`__) -`numpy.delete` no longer ignores out-of-bounds indices ------------------------------------------------------- +``numpy.delete`` no longer ignores out-of-bounds indices +-------------------------------------------------------- This concludes deprecations from 1.8 and 1.9, where ``np.delete`` would ignore both negative and out-of-bounds items in a sequence of indices. This was at odds with its behavior when passed a single index. @@ -117,8 +51,8 @@ end. (`gh-15804 <https://github.com/numpy/numpy/pull/15804>`__) -`numpy.insert` and `numpy.delete` no longer accept non-integral indices ------------------------------------------------------------------------ +``numpy.insert`` and ``numpy.delete`` no longer accept non-integral indices +--------------------------------------------------------------------------- This concludes a deprecation from 1.9, where sequences of non-integers indices were allowed and cast to integers. Now passing sequences of non-integral indices raises ``IndexError``, just like it does when passing a single @@ -126,8 +60,8 @@ non-integral scalar. (`gh-15805 <https://github.com/numpy/numpy/pull/15805>`__) -`numpy.delete` no longer casts boolean indices to integers ----------------------------------------------------------- +``numpy.delete`` no longer casts boolean indices to integers +------------------------------------------------------------ This concludes a deprecation from 1.8, where ``np.delete`` would cast boolean arrays and scalars passed as an index argument into integer indices. The behavior now is to treat boolean arrays as a mask, and to raise an error @@ -139,19 +73,18 @@ on boolean scalars. Compatibility notes =================== -Changed random variate stream from `numpy.random.Generator.dirichlet` ---------------------------------------------------------------------- +Changed random variate stream from ``numpy.random.Generator.dirichlet`` +----------------------------------------------------------------------- A bug in the generation of random variates for the Dirichlet distribution -with small `alpha` values was fixed by using a different algorithm when +with small 'alpha' values was fixed by using a different algorithm when ``max(alpha) < 0.1``. Because of the change, the stream of variates -generated by `dirichlet` in this case will be different from previous +generated by ``dirichlet`` in this case will be different from previous releases. (`gh-14924 <https://github.com/numpy/numpy/pull/14924>`__) Scalar promotion in ``PyArray_ConvertToCommonType`` --------------------------------------------------- - The promotion of mixed scalars and arrays in ``PyArray_ConvertToCommonType`` has been changed to adhere to those used by ``np.result_type``. This means that input such as ``(1000, np.array([1], dtype=np.uint8)))`` @@ -171,10 +104,9 @@ will be given. (`gh-14942 <https://github.com/numpy/numpy/pull/14942>`__) -`np.ediff1d` casting behaviour with ``to_end`` and ``to_begin`` ---------------------------------------------------------------- - -`np.ediff1d` now uses the ``"same_kind"`` casting rule for +``np.ediff1d`` casting behaviour with ``to_end`` and ``to_begin`` +----------------------------------------------------------------- +``np.ediff1d`` now uses the ``"same_kind"`` casting rule for its additional ``to_end`` and ``to_begin`` arguments. This ensures type safety except when the input array has a smaller integer type than ``to_begin`` or ``to_end``. @@ -199,7 +131,6 @@ after the first 0). Removed ``multiarray.int_asbuffer`` ----------------------------------- - As part of the continued removal of Python 2 compatibility, ``multiarray.int_asbuffer`` was removed. On Python 3, it threw a ``NotImplementedError`` and was unused internally. It is expected that there @@ -224,8 +155,7 @@ necessary for codebases supporting Python 2.5 and older. ``issubdtype`` no longer interprets ``float`` as ``np.floating`` ---------------------------------------------------------------- - -`numpy.issubdtype` had a FutureWarning since NumPy 1.14 which +``numpy.issubdtype`` had a FutureWarning since NumPy 1.14 which has expired now. This means that certain input where the second argument was neither a datatype nor a NumPy scalar type (such as a string or a python type like ``int`` or ``float``) @@ -239,16 +169,16 @@ Change output of ``round`` on scalars to be consistent with Python ------------------------------------------------------------------ Output of the ``__round__`` dunder method and consequently the Python -built-in `round` has been changed to be a Python `int` to be consistent +built-in ``round`` has been changed to be a Python ``int`` to be consistent with calling it on Python ``float`` objects when called with no arguments. -Previously, it would return a scalar of the `np.dtype` that was passed in. +Previously, it would return a scalar of the ``np.dtype`` that was passed in. (`gh-15840 <https://github.com/numpy/numpy/pull/15840>`__) The ``numpy.ndarray`` constructor no longer interprets ``strides=()`` as ``strides=None`` ----------------------------------------------------------------------------------------- The former has changed to have the expected meaning of setting -`numpy.ndarray.strides` to ``()``, while the latter continues to result in +``numpy.ndarray.strides`` to ``()``, while the latter continues to result in strides being chosen automatically. (`gh-15882 <https://github.com/numpy/numpy/pull/15882>`__) @@ -269,18 +199,92 @@ of users. ``SeedSequence`` with small seeds no longer conflicts with spawning ------------------------------------------------------------------- -Small seeds (less than ``2**96``) are implicitly 0-padded out to 128 bits, the -size of the internal entropy pool. When spawned, the spawn key was concatenated -before the 0-padding. Since the first spawn key is ``(0,)``, small seeds -before the spawn created the same states as the first spawned ``SeedSequence``. -Now, the seed is explicitly 0-padded out to the internal pool size before -concatenating the spawn key. Spawned ``SeedSequences`` will produce different -results than in the previous release. Unspawned ``SeedSequences`` will still -produce the same results. +Small seeds (less than ``2**96``) were previously implicitly 0-padded out to +128 bits, the size of the internal entropy pool. When spawned, the spawn key +was concatenated before the 0-padding. Since the first spawn key is ``(0,)``, +small seeds before the spawn created the same states as the first spawned +``SeedSequence``. Now, the seed is explicitly 0-padded out to the internal +pool size before concatenating the spawn key. Spawned ``SeedSequences`` will +produce different results than in the previous release. Unspawned +``SeedSequences`` will still produce the same results. (`gh-16551 <https://github.com/numpy/numpy/pull/16551>`__) +Deprecations +============ + +Deprecate automatic ``dtype=object`` for ragged input +----------------------------------------------------- +Calling ``np.array([[1, [1, 2, 3]])`` will issue a ``DeprecationWarning`` as +per `NEP 34`_. Users should explicitly use ``dtype=object`` to avoid the +warning. + +.. _`NEP 34`: https://numpy.org/neps/nep-0034.html + +(`gh-15119 <https://github.com/numpy/numpy/pull/15119>`__) + +Passing ``shape=0`` to factory functions in ``numpy.rec`` is deprecated +----------------------------------------------------------------------- +``0`` is treated as a special case and is aliased to ``None`` in the functions: + +* ``numpy.core.records.fromarrays`` +* ``numpy.core.records.fromrecords`` +* ``numpy.core.records.fromstring`` +* ``numpy.core.records.fromfile`` + +In future, ``0`` will not be special cased, and will be treated as an array +length like any other integer. + +(`gh-15217 <https://github.com/numpy/numpy/pull/15217>`__) + +Deprecation of probably unused C-API functions +---------------------------------------------- +The following C-API functions are probably unused and have been +deprecated: + +* ``PyArray_GetArrayParamsFromObject`` +* ``PyUFunc_GenericFunction`` +* ``PyUFunc_SetUsesArraysAsData`` + +In most cases ``PyArray_GetArrayParamsFromObject`` should be replaced +by converting to an array, while ``PyUFunc_GenericFunction`` can be +replaced with ``PyObject_Call`` (see documentation for details). + +(`gh-15427 <https://github.com/numpy/numpy/pull/15427>`__) + +Converting certain types to dtypes is Deprecated +------------------------------------------------ +The super classes of scalar types, such as ``np.integer``, ``np.generic``, +or ``np.inexact`` will now give a deprecation warning when converted +to a dtype (or used in a dtype keyword argument). +The reason for this is that ``np.integer`` is converted to ``np.int_``, +while it would be expected to represent *any* integer (e.g. also +``int8``, ``int16``, etc. +For example, ``dtype=np.floating`` is currently identical to +``dtype=np.float64``, even though also ``np.float32`` is a subclass of +``np.floating``. + +(`gh-15534 <https://github.com/numpy/numpy/pull/15534>`__) + +Deprecation of ``round`` for ``np.complexfloating`` scalars +----------------------------------------------------------- +Output of the ``__round__`` dunder method and consequently the Python built-in +``round`` has been deprecated on complex scalars. This does not affect +``np.round``. + +(`gh-15840 <https://github.com/numpy/numpy/pull/15840>`__) + +``numpy.ndarray.tostring()`` is deprecated in favor of ``tobytes()`` +-------------------------------------------------------------------- +``~numpy.ndarray.tobytes`` has existed since the 1.9 release, but until this +release ``~numpy.ndarray.tostring`` emitted no warning. The change to emit a +warning brings NumPy in line with the builtin ``array.array`` methods of the +same name. + +(`gh-15867 <https://github.com/numpy/numpy/pull/15867>`__) + + C API changes ============= @@ -288,9 +292,9 @@ Better support for ``const`` dimensions in API functions -------------------------------------------------------- The following functions now accept a constant array of ``npy_intp``: -* `PyArray_BroadcastToShape` -* `PyArray_IntTupleFromIntp` -* `PyArray_OverflowMultiplyList` +* ``PyArray_BroadcastToShape`` +* ``PyArray_IntTupleFromIntp`` +* ``PyArray_OverflowMultiplyList`` Previously the caller would have to cast away the const-ness to call these functions. @@ -311,11 +315,11 @@ the compiler warnings or to const qualify their own loop signatures. New Features ============ -`numpy.frompyfunc` now accepts an identity argument ---------------------------------------------------- -This allows the :attr:`numpy.ufunc.identity` attribute to be set on the +``numpy.frompyfunc`` now accepts an identity argument +----------------------------------------------------- +This allows the :attr:``numpy.ufunc.identity`` attribute to be set on the resulting ufunc, meaning it can be used for empty and multi-dimensional -calls to :meth:`numpy.ufunc.reduce`. +calls to :meth:``numpy.ufunc.reduce``. (`gh-8255 <https://github.com/numpy/numpy/pull/8255>`__) @@ -327,40 +331,40 @@ now expose this through the buffer interface, meaning (`gh-15385 <https://github.com/numpy/numpy/pull/15385>`__) -``subok`` option for `numpy.copy` ---------------------------------- -A new kwarg, ``subok``, was added to `numpy.copy` to allow users to toggle the -behavior of `numpy.copy` with respect to array subclasses. The default value -is ``False`` which is consistent with the behavior of `numpy.copy` for +``subok`` option for ``numpy.copy`` +----------------------------------- +A new kwarg, ``subok``, was added to ``numpy.copy`` to allow users to toggle +the behavior of ``numpy.copy`` with respect to array subclasses. The default +value is ``False`` which is consistent with the behavior of ``numpy.copy`` for previous numpy versions. To create a copy that preserves an array subclass with -`numpy.copy`, call ``np.copy(arr, subok=True)``. This addition better documents -that the default behavior of `numpy.copy` differs from the -`numpy.ndarray.copy` method which respects array subclasses by default. +``numpy.copy``, call ``np.copy(arr, subok=True)``. This addition better +documents that the default behavior of ``numpy.copy`` differs from the +``numpy.ndarray.copy`` method which respects array subclasses by default. (`gh-15685 <https://github.com/numpy/numpy/pull/15685>`__) -`numpy.linalg.multi_dot` now accepts an ``out`` argument --------------------------------------------------------- +``numpy.linalg.multi_dot`` now accepts an ``out`` argument +---------------------------------------------------------- ``out`` can be used to avoid creating unnecessary copies of the final product -computed by `numpy.linalg.multidot`. +computed by ``numpy.linalg.multidot``. (`gh-15715 <https://github.com/numpy/numpy/pull/15715>`__) -``keepdims`` parameter for `numpy.count_nonzero` ------------------------------------------------- -The parameter ``keepdims`` was added to `numpy.count_nonzero`. The +``keepdims`` parameter for ``numpy.count_nonzero`` +-------------------------------------------------- +The parameter ``keepdims`` was added to ``numpy.count_nonzero``. The parameter has the same meaning as it does in reduction functions such -as `numpy.sum` or `numpy.mean`. +as ``numpy.sum`` or ``numpy.mean``. (`gh-15870 <https://github.com/numpy/numpy/pull/15870>`__) -``equal_nan`` parameter for `numpy.array_equal` ------------------------------------------------- -The keyword argument ``equal_nan`` was added to `numpy.array_equal`. -``equal_nan`` is a boolean value that toggles whether or not ``nan`` values -are considered equal in comparison (default is ``False``). This matches API -used in related functions such as `numpy.isclose` and `numpy.allclose`. +``equal_nan`` parameter for ``numpy.array_equal`` +------------------------------------------------- +The keyword argument ``equal_nan`` was added to ``numpy.array_equal``. +``equal_nan`` is a boolean value that toggles whether or not ``nan`` values are +considered equal in comparison (default is ``False``). This matches API used in +related functions such as ``numpy.isclose`` and ``numpy.allclose``. (`gh-16128 <https://github.com/numpy/numpy/pull/16128>`__) @@ -370,9 +374,8 @@ Improvements Improve detection of CPU features ================================= - -Replace ``npy_cpu_supports`` which was a gcc-specific mechanism to test support -of avx with more general functions ``npy_cpu_init`` and ``npy_cpu_have``, and +Replace ``npy_cpu_supports`` which was a gcc specific mechanism to test support +of AVX with more general functions ``npy_cpu_init`` and ``npy_cpu_have``, and expose the results via a ``NPY_CPU_HAVE`` c-macro as well as a python-level ``__cpu_features__`` dictionary. @@ -380,7 +383,6 @@ expose the results via a ``NPY_CPU_HAVE`` c-macro as well as a python-level Use 64-bit integer size on 64-bit platforms in fallback lapack_lite ------------------------------------------------------------------- - Use 64-bit integer size on 64-bit platforms in the fallback LAPACK library, which is used when the system has no LAPACK installed, allowing it to deal with linear algebra for large arrays. @@ -388,22 +390,20 @@ linear algebra for large arrays. (`gh-15218 <https://github.com/numpy/numpy/pull/15218>`__) Use AVX512 intrinsic to implement ``np.exp`` when input is ``np.float64`` --------------------------------------------------------------------------- +------------------------------------------------------------------------- Use AVX512 intrinsic to implement ``np.exp`` when input is ``np.float64``, which can improve the performance of ``np.exp`` with ``np.float64`` input 5-7x -faster than before. The _multiarray_umath.so module has grown about 63 KB on -linux64. +faster than before. The ``_multiarray_umath.so`` module has grown about 63 KB +on linux64. (`gh-15648 <https://github.com/numpy/numpy/pull/15648>`__) Ability to disable madvise hugepages ------------------------------------ - -On Linux NumPy has previously added support for madavise -hugepages which can improve performance for very large arrays. -Unfortunately, on older Kernel versions this led to peformance -regressions, thus by default the support has been disabled on -kernels before version 4.6. To override the default, you can +On Linux NumPy has previously added support for madavise hugepages which can +improve performance for very large arrays. Unfortunately, on older Kernel +versions this led to peformance regressions, thus by default the support has +been disabled on kernels before version 4.6. To override the default, you can use the environment variable:: NUMPY_MADVISE_HUGEPAGE=0 @@ -414,17 +414,17 @@ transparent hugepage. (`gh-15769 <https://github.com/numpy/numpy/pull/15769>`__) -`numpy.einsum` accepts NumPy ``int64`` type in subscript list -------------------------------------------------------------- -There is no longer a type error thrown when `numpy.einsum` is passed +``numpy.einsum`` accepts NumPy ``int64`` type in subscript list +--------------------------------------------------------------- +There is no longer a type error thrown when ``numpy.einsum`` is passed a NumPy ``int64`` array as its subscript list. (`gh-16080 <https://github.com/numpy/numpy/pull/16080>`__) ``np.logaddexp2.identity`` changed to ``-inf`` ---------------------------------------------- -The ufunc `~numpy.logaddexp2` now has an identity of ``-inf``, allowing it to -be called on empty sequences. This matches the identity of `~numpy.logaddexp`. +The ufunc ``~numpy.logaddexp2`` now has an identity of ``-inf``, allowing it to +be called on empty sequences. This matches the identity of ``~numpy.logaddexp``. (`gh-16102 <https://github.com/numpy/numpy/pull/16102>`__) @@ -444,31 +444,27 @@ was for its use. It has been removed. ``numpy.random._bit_generator`` moved to ``numpy.random.bit_generator`` ----------------------------------------------------------------------- +In order to expose ``numpy.random.BitGenerator`` and +``numpy.random.SeedSequence`` to Cython, the ``_bitgenerator`` module is now +public as ``numpy.random.bit_generator`` -In order to expose `numpy.random.BitGenerator` and `numpy.random.SeedSequence` -to cython, the ``_bitgenerator`` module is now public as -`numpy.random.bit_generator` - -Cython access to the random distributions is provided via a `pxd` file ----------------------------------------------------------------------- - +Cython access to the random distributions is provided via a ``pxd`` file +------------------------------------------------------------------------ ``c_distributions.pxd`` provides access to the c functions behind many of the random distributions from Cython, making it convenient to use and extend them. (`gh-15463 <https://github.com/numpy/numpy/pull/15463>`__) -`Fixed `eigh` and `cholesky` methods in `numpy.random.multivariate_normal`` ---------------------------------------------------------------------------- - -Previously, when passing `method='eigh'` or `method='cholesky'`, -`numpy.random.multivariate_normal` produced samples from the wrong +Fixed ``eigh`` and ``cholesky`` methods in ``numpy.random.multivariate_normal`` +------------------------------------------------------------------------------- +Previously, when passing ``method='eigh'`` or ``method='cholesky'``, +``numpy.random.multivariate_normal`` produced samples from the wrong distribution. This is now fixed. (`gh-15872 <https://github.com/numpy/numpy/pull/15872>`__) Fixed the jumping implementation in ``MT19937.jumped`` ------------------------------------------------------ - This fix changes the stream produced from jumped MT19937 generators. It does not affect the stream produced using ``RandomState`` or ``MT19937`` that are directly seeded. @@ -479,10 +475,3 @@ implementation of the Horner and Sliding Window jump methods. (`gh-16153 <https://github.com/numpy/numpy/pull/16153>`__) - -.. currentmodule:: numpy - -========================== -NumPy 1.19.0 Release Notes -========================== - |