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| author | Charles Harris <charlesr.harris@gmail.com> | 2020-11-30 15:52:51 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-11-30 15:52:51 -0700 |
| commit | 33dc7bea24f1ab6c47047b49521e732caeb485d5 (patch) | |
| tree | 1a12e7427d1e1b2e73af8b55a6de2588af60dff6 /doc | |
| parent | c1e3b726c0ea767e38b5cec3966c5b434e62f215 (diff) | |
| parent | 2fd82cb2644d35195e11b3b62be56c6d09a77166 (diff) | |
| download | numpy-33dc7bea24f1ab6c47047b49521e732caeb485d5.tar.gz | |
Merge pull request #17875 from charris/prepare-for-1.20.0-release
DOC: Prepare for 1.20.0 release
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/changelog/1.20.0-changelog.rst | 845 | ||||
| -rw-r--r-- | doc/source/release/1.20.0-notes.rst | 898 |
2 files changed, 1743 insertions, 0 deletions
diff --git a/doc/changelog/1.20.0-changelog.rst b/doc/changelog/1.20.0-changelog.rst new file mode 100644 index 000000000..5db423c41 --- /dev/null +++ b/doc/changelog/1.20.0-changelog.rst @@ -0,0 +1,845 @@ + +Contributors +============ + +A total of 182 people contributed to this release. People with a "+" by their +names contributed a patch for the first time. + +* Aaron Meurer + +* Abhilash Barigidad + +* Abhinav Reddy + +* Abhishek Singh + +* Al-Baraa El-Hag + +* Albert Villanova del Moral + +* Alex Leontiev + +* Alex Rockhill + +* Alex Rogozhnikov +* Alexander Belopolsky +* Alexander Kuhn-Regnier + +* Allen Downey + +* Andras Deak +* Andrea Olivo andryandrew@gmail.com andryandrew + +* Andrew Eckart + +* Anirudh Subramanian +* Anthony Byuraev + +* Antonio Larrosa + +* Ashutosh Singh + +* Bangcheng Yang + +* Bas van Beek + +* Ben Derrett + +* Ben Elliston + +* Ben Nathanson + +* Bharat Medasani + +* Bharat Raghunathan +* Bijesh Mohan + +* Bradley Dice + +* Brandon David + +* Brandt Bucher +* Brian Soto + +* Brigitta Sipocz +* Cameron Blocker + +* Carl Leake + +* Charles Harris +* Chris Brown + +* Chris Vavaliaris + +* Chunlin Fang +* CloseChoice + +* Daniel G. A. Smith + +* Daniel Hrisca +* Daniel Vanzo + +* David Pitchford + +* Davide Dal Bosco + +* Dima Kogan + +* Dmitry Kutlenkov + +* Douglas Fenstermacher + +* Dustin Spicuzza + +* E. Madison Bray + +* Elia Franzella + +* Enrique Matías Sánchez (Quique) + +* Erfan Nariman | Veneficus + +* Eric Larson +* Eric Moore +* Eric Wieser +* Erik M. Bray +* EthanCJ-git + +* Etienne Guesnet + +* Felix Divo +* Frankie Robertson + +* Ganesh Kathiresan +* Gengxin Xie +* Gerry Manoim + +* Guilherme Leobas +* Hassan Kibirige +* Hugo Mendes + +* Hugo van Kemenade +* Ian Thomas + +* InessaPawson + +* Isabela Presedo-Floyd + +* Isuru Fernando +* Jakob Jacobson + +* Jakob Jakobson + +* Jakub Wilk +* James Myatt + +* Jesse Li + +* John Hagen + +* John Zwinck +* Joseph Fox-Rabinovitz +* Josh Wilson +* Jovial Joe Jayarson + +* Julia Signell + +* Jun Kudo + +* Karan Dhir + +* Kaspar Thommen + +* Kerem Hallaç +* Kevin Moore + +* Kevin Sheppard +* Klaus Zimmermann + +* LSchroefl + +* Laurie + +* Laurie Stephey + +* Levi Stovall + +* Lisa Schwetlick + +* Lukas Geiger + +* Madhulika Jain Chambers + +* Matthias Bussonnier +* Matti Picus +* Melissa Weber Mendonça +* Michael Hirsch +* Nick R. Papior +* Nikola Forró +* Noman Arshad + +* Paul YS Lee + +* Pauli Virtanen +* Paweł Redzyński + +* Peter Andreas Entschev +* Peter Bell +* Philippe Ombredanne + +* Phoenix Meadowlark + +* Piotr Gaiński +* Raghav Khanna + +* Raghuveer Devulapalli +* Rajas Rade + +* Rakesh Vasudevan +* Ralf Gommers +* Raphael Kruse + +* Rashmi K A + +* Robert Kern +* Rohit Sanjay + +* Roman Yurchak +* Ross Barnowski +* Royston E Tauro + +* Ryan C Cooper + +* Ryan Soklaski +* Safouane Chergui + +* Sahil Siddiq + +* Sarthak Vineet Kumar + +* Sayed Adel +* Sebastian Berg +* Sergei Vorfolomeev + +* Seth Troisi +* Sidhant Bansal + +* Simon Gasse +* Simon Graham + +* Stefan Appelhoff + +* Stefan Behnel + +* Stefan van der Walt +* Steve Dower +* Steve Joachim + +* Steven Pitman + +* Stuart Archibald +* Sturla Molden +* Susan Chang + +* Takanori H + +* Tapajyoti Bose + +* Thomas A Caswell +* Tina Oberoi +* Tirth Patel +* Tobias Pitters + +* Tyler Reddy +* Veniamin Petrenko + +* Wansoo Kim + +* Warren Weckesser +* Wei Yang + +* Wojciech Rzadkowski +* Yang Hau + +* Yogesh Raisinghani + +* Yu Feng +* Yuya Unno + +* Zac Hatfield-Dodds +* Zuhair Ali-Khan + +* @abhilash42 + +* @bernie gray + +* @danbeibei + +* @dojafrat +* @dpitch40 + +* @forfun + +* @iamsoto + +* @jbrockmendel + +* @leeyspaul + +* @mitch + +* @prateek arora + +* @qiyu8 + +* @serge-sans-paille + +* @skywalker + +* @stphnlyd + +* @xoviat +* @谭九鼎 + +* @JMFT + +* @Jack + +* @Neal C + + +Pull requests merged +==================== + +A total of 650 pull requests were merged for this release. + +* `#13516 <https://github.com/numpy/numpy/pull/13516>`__: ENH: enable multi-platform SIMD compiler optimizations +* `#14779 <https://github.com/numpy/numpy/pull/14779>`__: NEP 36 (fair play) +* `#14882 <https://github.com/numpy/numpy/pull/14882>`__: DEP: Deprecate aliases of builtin types in python 3.7+ +* `#15037 <https://github.com/numpy/numpy/pull/15037>`__: BUG: ``np.resize`` negative shape and subclasses edge case fixes +* `#15121 <https://github.com/numpy/numpy/pull/15121>`__: ENH: random: Add the method ``permuted`` to Generator. +* `#15162 <https://github.com/numpy/numpy/pull/15162>`__: BUG,MAINT: Fix issues with non-reduce broadcasting axes +* `#15471 <https://github.com/numpy/numpy/pull/15471>`__: BUG: Ensure PyArray_FromScalar always returns the requested dtype +* `#15507 <https://github.com/numpy/numpy/pull/15507>`__: NEP 42: Technical decisions for new DTypes +* `#15508 <https://github.com/numpy/numpy/pull/15508>`__: API: Create Preliminary DTypeMeta class and np.dtype subclasses +* `#15604 <https://github.com/numpy/numpy/pull/15604>`__: MAINT: Avoid exception in NpzFile destructor if constructor raises... +* `#15666 <https://github.com/numpy/numpy/pull/15666>`__: ENH: Improved ``__str__`` for polynomials +* `#15759 <https://github.com/numpy/numpy/pull/15759>`__: BUILD: Remove Accelerate support +* `#15791 <https://github.com/numpy/numpy/pull/15791>`__: [DOC] Added tutorial about the numpy.ma module. +* `#15852 <https://github.com/numpy/numpy/pull/15852>`__: ENH: Add where argument to np.mean +* `#15886 <https://github.com/numpy/numpy/pull/15886>`__: DEP: Deprecate passing shape=None to mean shape=() +* `#15900 <https://github.com/numpy/numpy/pull/15900>`__: DEP: Ensure indexing errors will be raised even on empty results +* `#15997 <https://github.com/numpy/numpy/pull/15997>`__: ENH: improve printing of arrays with multi-line reprs +* `#16130 <https://github.com/numpy/numpy/pull/16130>`__: DOC: Correct documentation of ``__array__`` when used as output... +* `#16134 <https://github.com/numpy/numpy/pull/16134>`__: ENH: Implement concatenate dtype and casting keyword arguments +* `#16156 <https://github.com/numpy/numpy/pull/16156>`__: DEP: Deprecate ``numpy.dual``. +* `#16161 <https://github.com/numpy/numpy/pull/16161>`__: BUG: Potential fix for divmod(1.0, 0.0) to raise divbyzero and... +* `#16167 <https://github.com/numpy/numpy/pull/16167>`__: DOC: Increase guidance and detail of np.polynomial docstring +* `#16174 <https://github.com/numpy/numpy/pull/16174>`__: DOC: Add transition note to all lib/poly functions +* `#16200 <https://github.com/numpy/numpy/pull/16200>`__: ENH: Rewrite of array-coercion to support new dtypes +* `#16205 <https://github.com/numpy/numpy/pull/16205>`__: ENH: Add ``full_output`` argument to ``f2py.compile``. +* `#16232 <https://github.com/numpy/numpy/pull/16232>`__: DEP: Deprecate ufunc.outer with matrix inputs +* `#16238 <https://github.com/numpy/numpy/pull/16238>`__: MAINT: Unify cached (C-level static) imports +* `#16239 <https://github.com/numpy/numpy/pull/16239>`__: BUG,DOC: Allow attach docs twice but error if wrong +* `#16242 <https://github.com/numpy/numpy/pull/16242>`__: BUG: Fix default fallback in genfromtxt +* `#16247 <https://github.com/numpy/numpy/pull/16247>`__: ENH:Umath Replace raw SIMD of unary float point(32-64) with NPYV... +* `#16248 <https://github.com/numpy/numpy/pull/16248>`__: MRG, ENH: added edge keyword argument to digitize +* `#16257 <https://github.com/numpy/numpy/pull/16257>`__: DOC: Update the f2py section of the "Using Python as Glue" page. +* `#16260 <https://github.com/numpy/numpy/pull/16260>`__: DOC: Improve ``rec.array`` function documentation (#15853) +* `#16266 <https://github.com/numpy/numpy/pull/16266>`__: ENH: include dt64/td64 isinstance checks in ``__init__.pxd`` +* `#16267 <https://github.com/numpy/numpy/pull/16267>`__: DOC: Clarifications for np.std +* `#16273 <https://github.com/numpy/numpy/pull/16273>`__: BUG: Order percentile monotonically +* `#16274 <https://github.com/numpy/numpy/pull/16274>`__: MAINT: cleanups to quantile +* `#16275 <https://github.com/numpy/numpy/pull/16275>`__: REL: Update master after 1.19.x branch. +* `#16276 <https://github.com/numpy/numpy/pull/16276>`__: BUG: Ensure out argument is returned by identity for 0d arrays +* `#16278 <https://github.com/numpy/numpy/pull/16278>`__: DOC: Clarifications for ``np.var``. +* `#16283 <https://github.com/numpy/numpy/pull/16283>`__: DOC: Add a note about performance of isclose compared to math.isclose +* `#16284 <https://github.com/numpy/numpy/pull/16284>`__: MAINT: Clean up the implementation of quantile +* `#16285 <https://github.com/numpy/numpy/pull/16285>`__: MAINT: Bump hypothesis from 5.12.0 to 5.14.0 +* `#16291 <https://github.com/numpy/numpy/pull/16291>`__: DOC: Improve "tobytes" docstring. +* `#16292 <https://github.com/numpy/numpy/pull/16292>`__: BUG: Fix tools/download-wheels.py. +* `#16295 <https://github.com/numpy/numpy/pull/16295>`__: BUG: Require Python >= 3.6 in setup.py +* `#16296 <https://github.com/numpy/numpy/pull/16296>`__: DOC: Fix malformed docstrings in ma. +* `#16297 <https://github.com/numpy/numpy/pull/16297>`__: ENH: Optimize Cpu feature detect in X86, fix for GCC on macOS +* `#16298 <https://github.com/numpy/numpy/pull/16298>`__: BUG: np.info does not show keyword-only arguments +* `#16300 <https://github.com/numpy/numpy/pull/16300>`__: DOC: Fix bad reference in ``numpy.ma`` +* `#16304 <https://github.com/numpy/numpy/pull/16304>`__: TST, MAINT: Fix detecting and testing armhf features +* `#16305 <https://github.com/numpy/numpy/pull/16305>`__: DOC: Fix packbits documentation rendering, +* `#16306 <https://github.com/numpy/numpy/pull/16306>`__: DOC: Fix troubleshooting code snippet when env vars are empty +* `#16308 <https://github.com/numpy/numpy/pull/16308>`__: BUG: relpath fails for different drives on windows +* `#16311 <https://github.com/numpy/numpy/pull/16311>`__: DOC: Fix ``np.ma.core.doc_note`` +* `#16316 <https://github.com/numpy/numpy/pull/16316>`__: MAINT: Bump numpydoc version +* `#16318 <https://github.com/numpy/numpy/pull/16318>`__: MAINT: Stop Using PyEval_Call* and simplify some uses +* `#16321 <https://github.com/numpy/numpy/pull/16321>`__: ENH: Improve the ARM cpu feature detection by parsing /proc/cpuinfo +* `#16323 <https://github.com/numpy/numpy/pull/16323>`__: DOC: Reconstruct Testing Guideline. +* `#16329 <https://github.com/numpy/numpy/pull/16329>`__: MAINT: Cleanup 'tools/download-wheels.py' +* `#16332 <https://github.com/numpy/numpy/pull/16332>`__: DOC: link np.interp to SciPy's interpolation functions (closes... +* `#16333 <https://github.com/numpy/numpy/pull/16333>`__: DOC: Fix spelling typo - homogenous to homogeneous. (#16324) +* `#16334 <https://github.com/numpy/numpy/pull/16334>`__: ENH: Use AVX-512 for np.isnan, np.infinite, np.isinf and np.signbit +* `#16336 <https://github.com/numpy/numpy/pull/16336>`__: BUG: Fix refcounting in add_newdoc +* `#16337 <https://github.com/numpy/numpy/pull/16337>`__: CI: Create a link for the circleCI artifact +* `#16348 <https://github.com/numpy/numpy/pull/16348>`__: BUG: Fix dtype leak in ``PyArray_FromAny`` error path +* `#16349 <https://github.com/numpy/numpy/pull/16349>`__: BUG: Indentation for docstrings +* `#16351 <https://github.com/numpy/numpy/pull/16351>`__: BUG: Fix small leaks in error path and ``empty_like`` with shape +* `#16362 <https://github.com/numpy/numpy/pull/16362>`__: MAINT: Streamline download-wheels. +* `#16365 <https://github.com/numpy/numpy/pull/16365>`__: DOC: Fix an obvious mistake in a message printed in doc/Makefile. +* `#16367 <https://github.com/numpy/numpy/pull/16367>`__: MAINT: Bump cython from 0.29.17 to 0.29.19 +* `#16368 <https://github.com/numpy/numpy/pull/16368>`__: MAINT: Bump hypothesis from 5.14.0 to 5.15.1 +* `#16369 <https://github.com/numpy/numpy/pull/16369>`__: MAINT: Bump pytest-cov from 2.8.1 to 2.9.0 +* `#16371 <https://github.com/numpy/numpy/pull/16371>`__: ENH: Use AVX-512 for np.frexp and np.ldexp +* `#16373 <https://github.com/numpy/numpy/pull/16373>`__: MAINT, DOC: add index for user docs. +* `#16375 <https://github.com/numpy/numpy/pull/16375>`__: ENH: ARM Neon implementation with intrinsic for np.argmax. +* `#16385 <https://github.com/numpy/numpy/pull/16385>`__: DOC: Tighten howto-docs guide #16259 +* `#16387 <https://github.com/numpy/numpy/pull/16387>`__: MAINT: Make ctypes optional on Windows +* `#16389 <https://github.com/numpy/numpy/pull/16389>`__: ENH: Hardcode buffer handling for simple scalars +* `#16392 <https://github.com/numpy/numpy/pull/16392>`__: MAINT: Stop uploading wheels to Rackspace. +* `#16393 <https://github.com/numpy/numpy/pull/16393>`__: MAINT: Use a raw string for the fromstring docstring. +* `#16395 <https://github.com/numpy/numpy/pull/16395>`__: ENH: Validate and disable CPU features in runtime +* `#16397 <https://github.com/numpy/numpy/pull/16397>`__: ENH: Implement the NumPy C SIMD vectorization interface +* `#16404 <https://github.com/numpy/numpy/pull/16404>`__: DOC,BLD: Update make dist html target. +* `#16408 <https://github.com/numpy/numpy/pull/16408>`__: DOC,BLD: Update sphinx conf to use xelatex. +* `#16409 <https://github.com/numpy/numpy/pull/16409>`__: TST, CI: turn on codecov patch diffs +* `#16411 <https://github.com/numpy/numpy/pull/16411>`__: BUG: endpoints of array returned by geomspace() should match... +* `#16417 <https://github.com/numpy/numpy/pull/16417>`__: MAINT: support python 3.10 +* `#16418 <https://github.com/numpy/numpy/pull/16418>`__: MAINT: Chain some exceptions. +* `#16420 <https://github.com/numpy/numpy/pull/16420>`__: DOC: Improve intersect1d docstring +* `#16422 <https://github.com/numpy/numpy/pull/16422>`__: DOC: Update assert_warns parameter list +* `#16423 <https://github.com/numpy/numpy/pull/16423>`__: TST: Simplify assert_warns in test_io.py +* `#16427 <https://github.com/numpy/numpy/pull/16427>`__: DOC: make NEP 18 status Final +* `#16428 <https://github.com/numpy/numpy/pull/16428>`__: DOC: Add style guide to howto_document +* `#16430 <https://github.com/numpy/numpy/pull/16430>`__: DOC: NEP for C style guide +* `#16433 <https://github.com/numpy/numpy/pull/16433>`__: DOC: Fix description of dtype default in linspace +* `#16435 <https://github.com/numpy/numpy/pull/16435>`__: BUG: Add extern to PyArrayDTypeMeta_Type declaration +* `#16436 <https://github.com/numpy/numpy/pull/16436>`__: DOC: Add a reference into NEP 29, +* `#16438 <https://github.com/numpy/numpy/pull/16438>`__: MAINT: Catch remaining cases of Py_SIZE and Py_TYPE as lvalues +* `#16442 <https://github.com/numpy/numpy/pull/16442>`__: ENH: Fix deprecated warn for Intel/Apple/Clang Compiler +* `#16444 <https://github.com/numpy/numpy/pull/16444>`__: DOC: make clearer that sinc is normalized by a factor pi +* `#16445 <https://github.com/numpy/numpy/pull/16445>`__: DOC: update roadmap +* `#16446 <https://github.com/numpy/numpy/pull/16446>`__: BUG: fixes einsum output order with optimization (#14615) +* `#16447 <https://github.com/numpy/numpy/pull/16447>`__: DOC: add a "make show" command to doc/Makefile +* `#16450 <https://github.com/numpy/numpy/pull/16450>`__: DOC: Add a NEP link to all neps. +* `#16452 <https://github.com/numpy/numpy/pull/16452>`__: DOC,ENH: extend error message when Accelerate is detected +* `#16463 <https://github.com/numpy/numpy/pull/16463>`__: DOC: Improve assert_warns docstring with example +* `#16464 <https://github.com/numpy/numpy/pull/16464>`__: MAINT: Bump hypothesis from 5.15.1 to 5.16.0 +* `#16465 <https://github.com/numpy/numpy/pull/16465>`__: DOC: Fix development_workflow links +* `#16468 <https://github.com/numpy/numpy/pull/16468>`__: BUG: fix GCC 10 major version comparison +* `#16471 <https://github.com/numpy/numpy/pull/16471>`__: BLD: install mingw32 v7.3.0 for win32 +* `#16472 <https://github.com/numpy/numpy/pull/16472>`__: DOC: Fixes for 18 broken links +* `#16474 <https://github.com/numpy/numpy/pull/16474>`__: MAINT: use zip instead of range in piecewise +* `#16476 <https://github.com/numpy/numpy/pull/16476>`__: ENH: add ``norm=forward,backward`` to numpy.fft functions +* `#16482 <https://github.com/numpy/numpy/pull/16482>`__: SIMD: Optimize the performace of np.packbits in ARM-based machine. +* `#16485 <https://github.com/numpy/numpy/pull/16485>`__: BUG: Fix result when a gufunc output broadcasts the inputs. +* `#16500 <https://github.com/numpy/numpy/pull/16500>`__: DOC: Point Contributing page to new NEP 45 +* `#16501 <https://github.com/numpy/numpy/pull/16501>`__: MAINT: make Py_SET_SIZE and Py_SET_TYPE macros a bit safer +* `#16503 <https://github.com/numpy/numpy/pull/16503>`__: BUG:random: Error when ``size`` is smaller than broadcast input... +* `#16504 <https://github.com/numpy/numpy/pull/16504>`__: DOC: Correct MV Normal sig +* `#16505 <https://github.com/numpy/numpy/pull/16505>`__: BUG: raise IEEE exception on AIX +* `#16506 <https://github.com/numpy/numpy/pull/16506>`__: DOC: only single-polynomial fitting in np.polynomial.Polynomial.fit() +* `#16510 <https://github.com/numpy/numpy/pull/16510>`__: DOC: Minor rounding correction in Generator.binomial +* `#16514 <https://github.com/numpy/numpy/pull/16514>`__: STY: trivial doc style fix in NEP 45. +* `#16515 <https://github.com/numpy/numpy/pull/16515>`__: ENH: add type stubs from numpy-stubs +* `#16519 <https://github.com/numpy/numpy/pull/16519>`__: BUG: f2py: make callbacks threadsafe +* `#16520 <https://github.com/numpy/numpy/pull/16520>`__: STY: f2py: replace \t by whitespace for readability +* `#16522 <https://github.com/numpy/numpy/pull/16522>`__: MAINT:ARMHF Fix detecting feature groups NEON_HALF and NEON_VFPV4 +* `#16523 <https://github.com/numpy/numpy/pull/16523>`__: MAINT: Improve buffer speed +* `#16524 <https://github.com/numpy/numpy/pull/16524>`__: MAINT: f2py: move thread-local declaration definition to common... +* `#16529 <https://github.com/numpy/numpy/pull/16529>`__: BUG: Fix cython warning in random/_common.pyx. +* `#16530 <https://github.com/numpy/numpy/pull/16530>`__: MAINT: Bump pytest from 5.4.2 to 5.4.3 +* `#16532 <https://github.com/numpy/numpy/pull/16532>`__: BUG: Remove non-threadsafe sigint handling from fft calculation +* `#16540 <https://github.com/numpy/numpy/pull/16540>`__: SIMD: SSE2 intrinsic implementation for float64 input of np.enisum +* `#16551 <https://github.com/numpy/numpy/pull/16551>`__: BUG: Ensure SeedSequence 0-padding does not collide with spawn... +* `#16554 <https://github.com/numpy/numpy/pull/16554>`__: DEP: Remove deprecated numeric types and deprecate remaining +* `#16555 <https://github.com/numpy/numpy/pull/16555>`__: CI: drop win32 3.7, 3.6 builds +* `#16556 <https://github.com/numpy/numpy/pull/16556>`__: MAINT: simplifying annotations for np.core.from_numeric +* `#16558 <https://github.com/numpy/numpy/pull/16558>`__: ENH: make typing module available at runtime +* `#16570 <https://github.com/numpy/numpy/pull/16570>`__: ENH: Throw TypeError on operator concat on Numpy Arrays +* `#16571 <https://github.com/numpy/numpy/pull/16571>`__: TST: Add new tests for array coercion +* `#16572 <https://github.com/numpy/numpy/pull/16572>`__: BUG: fix sin/cos bug when input is strided array +* `#16574 <https://github.com/numpy/numpy/pull/16574>`__: MAINT: fix name of first parameter to dtype constructor in type... +* `#16581 <https://github.com/numpy/numpy/pull/16581>`__: DOC: Added an example for np.transpose(4d_array) +* `#16583 <https://github.com/numpy/numpy/pull/16583>`__: MAINT: changed ``np.generic`` arguments to positional-only +* `#16590 <https://github.com/numpy/numpy/pull/16590>`__: DOC: Clarify dtype default for logspace and geomspace +* `#16591 <https://github.com/numpy/numpy/pull/16591>`__: DOC: Disallow complex args in arange +* `#16592 <https://github.com/numpy/numpy/pull/16592>`__: BUG: Raise TypeError for float->timedelta promotion +* `#16594 <https://github.com/numpy/numpy/pull/16594>`__: ENH: Add ``__f2py_numpy_version__`` attribute to Fortran modules. +* `#16596 <https://github.com/numpy/numpy/pull/16596>`__: BUG: Fix reference count leak in mapping.c +* `#16601 <https://github.com/numpy/numpy/pull/16601>`__: MAINT: Move and improve ``test_ignore_nan_ulperror``. +* `#16603 <https://github.com/numpy/numpy/pull/16603>`__: DOC: make addition of types a "new feature" in release notes +* `#16605 <https://github.com/numpy/numpy/pull/16605>`__: MAINT: Avx512 intrinsics implementation for float64 input np.log +* `#16606 <https://github.com/numpy/numpy/pull/16606>`__: MAINT: Bump pytest-cov from 2.9.0 to 2.10.0 +* `#16607 <https://github.com/numpy/numpy/pull/16607>`__: MAINT: Bump hypothesis from 5.16.0 to 5.16.1 +* `#16613 <https://github.com/numpy/numpy/pull/16613>`__: MAINT: bump mypy version to 0.780 +* `#16617 <https://github.com/numpy/numpy/pull/16617>`__: BLD: Openblas 0.3.10 +* `#16618 <https://github.com/numpy/numpy/pull/16618>`__: ENH: add annotation for abs +* `#16619 <https://github.com/numpy/numpy/pull/16619>`__: BLD: check if std=c99 is really required +* `#16620 <https://github.com/numpy/numpy/pull/16620>`__: MAINT, CI: disable Shippable cache +* `#16621 <https://github.com/numpy/numpy/pull/16621>`__: BENCH: Expand array-creation benchmarks +* `#16622 <https://github.com/numpy/numpy/pull/16622>`__: MAINT: Implemented two dtype-related TODO's +* `#16623 <https://github.com/numpy/numpy/pull/16623>`__: BUG: Initialize stop-reading in array_from_text +* `#16627 <https://github.com/numpy/numpy/pull/16627>`__: DOC: Updated documentation for numpy.squeeze +* `#16629 <https://github.com/numpy/numpy/pull/16629>`__: ENH: add tool to find functions missing types +* `#16630 <https://github.com/numpy/numpy/pull/16630>`__: ENH,BUG:distutils Remove the origins from the implied features +* `#16633 <https://github.com/numpy/numpy/pull/16633>`__: MAINT: lib: Some code clean up in loadtxt +* `#16635 <https://github.com/numpy/numpy/pull/16635>`__: BENCH: remove obsolete goal_time param +* `#16639 <https://github.com/numpy/numpy/pull/16639>`__: BUG: Fix uint->timedelta promotion to raise TypeError +* `#16642 <https://github.com/numpy/numpy/pull/16642>`__: MAINT: Replace ``PyUString_GET_SIZE`` with ``PyUnicode_GetLength``. +* `#16643 <https://github.com/numpy/numpy/pull/16643>`__: REL: Fix outdated docs link +* `#16646 <https://github.com/numpy/numpy/pull/16646>`__: TST: add a static typing test for memoryviews as ArrayLikes +* `#16647 <https://github.com/numpy/numpy/pull/16647>`__: ENH: Added annotations to 8 functions from np.core.fromnumeric +* `#16648 <https://github.com/numpy/numpy/pull/16648>`__: REL: Update master after 1.19.0 release. +* `#16650 <https://github.com/numpy/numpy/pull/16650>`__: ENH: Allow genfromtxt to unpack structured arrays +* `#16651 <https://github.com/numpy/numpy/pull/16651>`__: MAINT: Prefer generator expressions over list comprehensions... +* `#16653 <https://github.com/numpy/numpy/pull/16653>`__: DOC: cross-reference numpy.dot and numpy.linalg.multi_dot +* `#16658 <https://github.com/numpy/numpy/pull/16658>`__: MAINT: Bump hypothesis from 5.16.1 to 5.16.3 +* `#16659 <https://github.com/numpy/numpy/pull/16659>`__: MAINT: Bump mypy from 0.780 to 0.781 +* `#16664 <https://github.com/numpy/numpy/pull/16664>`__: DOC: Add lib.format.open_memmap to autosummary. +* `#16666 <https://github.com/numpy/numpy/pull/16666>`__: BUG: Fix bug in AVX complex absolute while processing array of... +* `#16669 <https://github.com/numpy/numpy/pull/16669>`__: MAINT: remove blacklist/whitelist terms +* `#16674 <https://github.com/numpy/numpy/pull/16674>`__: TST: Add extra debugging information to CPU features detection +* `#16675 <https://github.com/numpy/numpy/pull/16675>`__: ENH: Add support for file like objects to np.core.records.fromfile +* `#16683 <https://github.com/numpy/numpy/pull/16683>`__: DOC: updated gcc minimum recommend version to build from source +* `#16684 <https://github.com/numpy/numpy/pull/16684>`__: MAINT: Allow ``None`` to be passed to certain ``generic`` subclasses +* `#16690 <https://github.com/numpy/numpy/pull/16690>`__: DOC: fixed docstring for descr_to_dtype +* `#16691 <https://github.com/numpy/numpy/pull/16691>`__: DOC: Remove "matrix" from ``triu`` docstring. +* `#16696 <https://github.com/numpy/numpy/pull/16696>`__: MAINT: add py.typed sentinel to package manifest +* `#16699 <https://github.com/numpy/numpy/pull/16699>`__: MAINT: Fixup quantile tests to not use ``np.float`` +* `#16702 <https://github.com/numpy/numpy/pull/16702>`__: BLD: Add CPU entry for Emscripten / WebAssembly +* `#16704 <https://github.com/numpy/numpy/pull/16704>`__: TST: Disable Python 3.9-dev testing. +* `#16706 <https://github.com/numpy/numpy/pull/16706>`__: DOC: Add instruction about stable symlink +* `#16708 <https://github.com/numpy/numpy/pull/16708>`__: MAINT: Disable use_hugepages in case of ValueError +* `#16709 <https://github.com/numpy/numpy/pull/16709>`__: DOC: Add dep directive to alen docstring. +* `#16710 <https://github.com/numpy/numpy/pull/16710>`__: ENH, BLD: Add RPATH support for AIX +* `#16718 <https://github.com/numpy/numpy/pull/16718>`__: DOC: fix typo +* `#16720 <https://github.com/numpy/numpy/pull/16720>`__: BUG: Fix PyArray_SearchSorted signature. +* `#16729 <https://github.com/numpy/numpy/pull/16729>`__: ENH: Add annotations to the last 8 functions in numpy.core.fromnumeric +* `#16730 <https://github.com/numpy/numpy/pull/16730>`__: ENH: Use f90 compiler specified in f2py command line args for... +* `#16731 <https://github.com/numpy/numpy/pull/16731>`__: DOC: reword random c-api introduction, cython is documented in... +* `#16735 <https://github.com/numpy/numpy/pull/16735>`__: DOC: Tweak a sentence about broadcasting. +* `#16736 <https://github.com/numpy/numpy/pull/16736>`__: DOC: Prepend ``ma.`` to references in ``numpy.ma`` +* `#16738 <https://github.com/numpy/numpy/pull/16738>`__: DOC: Remove redundant word +* `#16742 <https://github.com/numpy/numpy/pull/16742>`__: DOC: add unique() to See Also of repeat() +* `#16743 <https://github.com/numpy/numpy/pull/16743>`__: DOC: add example to unique() and make connection to repeat() +* `#16747 <https://github.com/numpy/numpy/pull/16747>`__: MAINT: Chaining exceptions in numpy/core/_internal.py +* `#16752 <https://github.com/numpy/numpy/pull/16752>`__: BLD: add manylinux1 OpenBlAS 0.3.10 hashes and test for them +* `#16757 <https://github.com/numpy/numpy/pull/16757>`__: DOC: Add Matti Picus to steering council page +* `#16759 <https://github.com/numpy/numpy/pull/16759>`__: ENH: make dtype generic over scalar type +* `#16760 <https://github.com/numpy/numpy/pull/16760>`__: DOC: Added a section in the 'Iterating over arrays' doc page... +* `#16761 <https://github.com/numpy/numpy/pull/16761>`__: MAINT: Tidy exception chaining in _datasource.py +* `#16762 <https://github.com/numpy/numpy/pull/16762>`__: MAINT: Fixes for deprecated functions in scalartypes.c.src +* `#16764 <https://github.com/numpy/numpy/pull/16764>`__: MAINT: Bump mypy from 0.781 to 0.782 +* `#16765 <https://github.com/numpy/numpy/pull/16765>`__: MAINT: Bump hypothesis from 5.16.3 to 5.19.0 +* `#16767 <https://github.com/numpy/numpy/pull/16767>`__: ENH: Update NumPy logos +* `#16770 <https://github.com/numpy/numpy/pull/16770>`__: MAINT: Remove unneeded call to PyUnicode_READY +* `#16771 <https://github.com/numpy/numpy/pull/16771>`__: MAINT: Fix deprecated functions in scalarapi.c +* `#16775 <https://github.com/numpy/numpy/pull/16775>`__: DOC: switch to logo with text +* `#16782 <https://github.com/numpy/numpy/pull/16782>`__: ENH, TST: Bring the NumPy C SIMD vectorization interface "NPYV"... +* `#16786 <https://github.com/numpy/numpy/pull/16786>`__: BENCH: Add basic benchmarks for scalar indexing and assignment +* `#16789 <https://github.com/numpy/numpy/pull/16789>`__: BUG: fix decode error when building and get rid of warn +* `#16792 <https://github.com/numpy/numpy/pull/16792>`__: DOC: Minor RST formatting. +* `#16793 <https://github.com/numpy/numpy/pull/16793>`__: BLD, MAINT: update cython to 0.29.21 +* `#16794 <https://github.com/numpy/numpy/pull/16794>`__: TST: Upgrade to Python 3.8 for DEBUG testing. +* `#16798 <https://github.com/numpy/numpy/pull/16798>`__: DOC: Fix RST/numpydoc standard. +* `#16800 <https://github.com/numpy/numpy/pull/16800>`__: MAINT: Move typing tests +* `#16802 <https://github.com/numpy/numpy/pull/16802>`__: MAINT: Explicitly disallow object user dtypes +* `#16805 <https://github.com/numpy/numpy/pull/16805>`__: DOC: add example to corrcoef function +* `#16806 <https://github.com/numpy/numpy/pull/16806>`__: DOC: adding docs on passing dimensions as tuple to ndindex +* `#16807 <https://github.com/numpy/numpy/pull/16807>`__: BUG, MAINT: Remove overzealous automatic RST link +* `#16811 <https://github.com/numpy/numpy/pull/16811>`__: DOC: Add explanation of 'K' and 'A' layout options to 'asarray*'... +* `#16814 <https://github.com/numpy/numpy/pull/16814>`__: DOC: Add a reST label to /user/building.rst +* `#16815 <https://github.com/numpy/numpy/pull/16815>`__: BUG: fix mgrid output for lower precision float inputs +* `#16816 <https://github.com/numpy/numpy/pull/16816>`__: BLD: temporarily disable OpenBLAS hash checks +* `#16817 <https://github.com/numpy/numpy/pull/16817>`__: BUG: Do not inherit flags from the structured part of a union... +* `#16819 <https://github.com/numpy/numpy/pull/16819>`__: DOC: replace dec.slow with pytest.mark.slow +* `#16820 <https://github.com/numpy/numpy/pull/16820>`__: MAINT: Make void scalar to array creation copy when dtype is... +* `#16821 <https://github.com/numpy/numpy/pull/16821>`__: DOC: fix inconsistent parameter name in np.ndindex docstring +* `#16822 <https://github.com/numpy/numpy/pull/16822>`__: MAINT: setuptools 49.2.0 emits a warning, avoid it +* `#16824 <https://github.com/numpy/numpy/pull/16824>`__: DOC: add examples to random number generator pages +* `#16826 <https://github.com/numpy/numpy/pull/16826>`__: DOC: describe ufunc copy behavior when input and output overlap +* `#16827 <https://github.com/numpy/numpy/pull/16827>`__: MAINT: Fix ``runtest.py`` warning. +* `#16829 <https://github.com/numpy/numpy/pull/16829>`__: DOC,BLD: Add pandas to doc_requirements.txt +* `#16831 <https://github.com/numpy/numpy/pull/16831>`__: MAINT: fix sphinx deprecation +* `#16834 <https://github.com/numpy/numpy/pull/16834>`__: Avoid using uninitialized bytes in getlimits.py. +* `#16835 <https://github.com/numpy/numpy/pull/16835>`__: DOC: Explaining why datetime64 doesn't work for allclose + isclose +* `#16836 <https://github.com/numpy/numpy/pull/16836>`__: DOC: improve SIMD features tables +* `#16837 <https://github.com/numpy/numpy/pull/16837>`__: BLD: update openblas hashes, re-enable check +* `#16838 <https://github.com/numpy/numpy/pull/16838>`__: MAINT: Remove code that will never run +* `#16840 <https://github.com/numpy/numpy/pull/16840>`__: MAINT: Bump hypothesis from 5.19.0 to 5.19.1 +* `#16841 <https://github.com/numpy/numpy/pull/16841>`__: BUG: linspace should round towards -infinity +* `#16845 <https://github.com/numpy/numpy/pull/16845>`__: TST: Disable shippable until we can fix it. +* `#16847 <https://github.com/numpy/numpy/pull/16847>`__: MAINT: Remove Duplicated Code (function extract rmap) +* `#16848 <https://github.com/numpy/numpy/pull/16848>`__: MAINT: Remove Duplicated Code +* `#16849 <https://github.com/numpy/numpy/pull/16849>`__: MAINT: Change for loop (range -> for each) +* `#16850 <https://github.com/numpy/numpy/pull/16850>`__: DEP: Deprecate NumPy object scalars +* `#16854 <https://github.com/numpy/numpy/pull/16854>`__: DOC: clarify whats required for new features see #13924 +* `#16857 <https://github.com/numpy/numpy/pull/16857>`__: MAINT: fix new compiler warnings on clang +* `#16858 <https://github.com/numpy/numpy/pull/16858>`__: BUG: fix the search dir of dispatch-able sources +* `#16860 <https://github.com/numpy/numpy/pull/16860>`__: MAINT: Remove deprecated python function 'file()' +* `#16868 <https://github.com/numpy/numpy/pull/16868>`__: BUG: Validate output size in bin- and multinomial +* `#16870 <https://github.com/numpy/numpy/pull/16870>`__: BLD, MAINT: Pin setuptools +* `#16871 <https://github.com/numpy/numpy/pull/16871>`__: BUG: Update compiler check for AVX-512F +* `#16874 <https://github.com/numpy/numpy/pull/16874>`__: TST, MAINT: fix the test for ``np.ones`` +* `#16878 <https://github.com/numpy/numpy/pull/16878>`__: DOC: edit to the documentation of lib/polynomial.py/polyfit +* `#16879 <https://github.com/numpy/numpy/pull/16879>`__: MAINT: Configure hypothesis in ``np.test()`` for determinism,... +* `#16882 <https://github.com/numpy/numpy/pull/16882>`__: BLD: Remove unused pip install +* `#16883 <https://github.com/numpy/numpy/pull/16883>`__: BUG,DOC: Fix bad MPL kwarg in docs +* `#16886 <https://github.com/numpy/numpy/pull/16886>`__: DOC: Fix types including curly braces +* `#16887 <https://github.com/numpy/numpy/pull/16887>`__: DOC: Remove the links for ``True`` and ``False`` +* `#16888 <https://github.com/numpy/numpy/pull/16888>`__: ENH: Integrate the new CPU dispatcher with umath generator +* `#16894 <https://github.com/numpy/numpy/pull/16894>`__: DOC: Fix wrong markups in ``arrays.dtypes`` +* `#16896 <https://github.com/numpy/numpy/pull/16896>`__: DOC: Remove links for C codes +* `#16897 <https://github.com/numpy/numpy/pull/16897>`__: DOC: Fix the declarations of C fuctions +* `#16899 <https://github.com/numpy/numpy/pull/16899>`__: MNT: also use Py_SET_REFCNT instead of Py_REFCNT +* `#16900 <https://github.com/numpy/numpy/pull/16900>`__: MAINT: Chaining exceptions in numpy/__init__.py +* `#16907 <https://github.com/numpy/numpy/pull/16907>`__: DOC: update val to be scalar or array like optional closes #16901 +* `#16910 <https://github.com/numpy/numpy/pull/16910>`__: MAINT: Bump hypothesis from 5.19.1 to 5.20.2 +* `#16911 <https://github.com/numpy/numpy/pull/16911>`__: ENH: Speed up trim_zeros +* `#16914 <https://github.com/numpy/numpy/pull/16914>`__: BUG: Fix string/bytes to complex assignment +* `#16917 <https://github.com/numpy/numpy/pull/16917>`__: DOC: Add correctness vs strictness consideration for np.dtype +* `#16919 <https://github.com/numpy/numpy/pull/16919>`__: DOC: Add ufunc docstring to generated docs. +* `#16925 <https://github.com/numpy/numpy/pull/16925>`__: REL: Update master after 1.19.1 release. +* `#16931 <https://github.com/numpy/numpy/pull/16931>`__: Revert "Merge pull request #16248 from alexrockhill/edge" +* `#16936 <https://github.com/numpy/numpy/pull/16936>`__: BUG: Fix memory leak of buffer-info cache due to relaxed strides +* `#16938 <https://github.com/numpy/numpy/pull/16938>`__: ENH,API: Store exported buffer info on the array +* `#16940 <https://github.com/numpy/numpy/pull/16940>`__: BLD: update OpenBLAS build +* `#16941 <https://github.com/numpy/numpy/pull/16941>`__: BUG: Allow array-like types to be coerced as object array elements +* `#16943 <https://github.com/numpy/numpy/pull/16943>`__: DEP: Deprecate size-one ragged array coercion +* `#16944 <https://github.com/numpy/numpy/pull/16944>`__: Change the name of the folder "icons" to "logo". +* `#16949 <https://github.com/numpy/numpy/pull/16949>`__: ENH: enable colors for ``runtests.py --ipython`` +* `#16950 <https://github.com/numpy/numpy/pull/16950>`__: DOC: Clarify input to irfft/irfft2/irfftn +* `#16952 <https://github.com/numpy/numpy/pull/16952>`__: MAINT: Bump hypothesis from 5.20.2 to 5.23.2 +* `#16953 <https://github.com/numpy/numpy/pull/16953>`__: update numpy/lib/arraypad.py with appropriate chain exception +* `#16957 <https://github.com/numpy/numpy/pull/16957>`__: MAINT: Use arm64 instead of aarch64 on travisCI. +* `#16962 <https://github.com/numpy/numpy/pull/16962>`__: MAINT: Chain exception in ``distutils/fcompiler/environment.py``. +* `#16966 <https://github.com/numpy/numpy/pull/16966>`__: MAINT: Added the ``order`` parameter to ``np.array()`` +* `#16969 <https://github.com/numpy/numpy/pull/16969>`__: ENH: Add Neon SIMD implementations for add, sub, mul, and div +* `#16973 <https://github.com/numpy/numpy/pull/16973>`__: DOC: Fixed typo in lib/recfunctions.py +* `#16974 <https://github.com/numpy/numpy/pull/16974>`__: TST: Add pypy win32 CI testing. +* `#16982 <https://github.com/numpy/numpy/pull/16982>`__: ENH: Increase the use of ``Literal`` types +* `#16986 <https://github.com/numpy/numpy/pull/16986>`__: ENH: Add NumPy declarations to be used by Cython 3.0+ +* `#16988 <https://github.com/numpy/numpy/pull/16988>`__: DOC: Add the new NumPy logo to Sphinx pages +* `#16991 <https://github.com/numpy/numpy/pull/16991>`__: MAINT: Bump hypothesis from 5.23.2 to 5.23.9 +* `#16992 <https://github.com/numpy/numpy/pull/16992>`__: MAINT: Bump pytest from 5.4.3 to 6.0.1 +* `#16993 <https://github.com/numpy/numpy/pull/16993>`__: BLD: pin setuptools < 49.2.0 +* `#16996 <https://github.com/numpy/numpy/pull/16996>`__: DOC: Revise glossary page +* `#17002 <https://github.com/numpy/numpy/pull/17002>`__: DOC: clip() allows arguments. +* `#17009 <https://github.com/numpy/numpy/pull/17009>`__: NEP: Updated NEP-35 with keyword-only instruction +* `#17013 <https://github.com/numpy/numpy/pull/17013>`__: MAINT: Simplify scalar power +* `#17014 <https://github.com/numpy/numpy/pull/17014>`__: MAINT: Improve error handling in umathmodule setup +* `#17028 <https://github.com/numpy/numpy/pull/17028>`__: DOC: Disclaimer for FFT library +* `#17029 <https://github.com/numpy/numpy/pull/17029>`__: MAINT: Add error return to all casting functionality and NpyIter +* `#17033 <https://github.com/numpy/numpy/pull/17033>`__: BUG: fix a compile and a test warning +* `#17036 <https://github.com/numpy/numpy/pull/17036>`__: DOC: Clarify that ``np.char`` comparison functions always return... +* `#17039 <https://github.com/numpy/numpy/pull/17039>`__: DOC: Use a less ambiguous example for array_split +* `#17041 <https://github.com/numpy/numpy/pull/17041>`__: MAINT: Bump hypothesis from 5.23.9 to 5.23.12 +* `#17048 <https://github.com/numpy/numpy/pull/17048>`__: STY: core._internal style fixups +* `#17050 <https://github.com/numpy/numpy/pull/17050>`__: MAINT: Remove _EXTRAFLAGS variable +* `#17053 <https://github.com/numpy/numpy/pull/17053>`__: BUG: fix typo in polydiv that prevented promotion to poly1d +* `#17058 <https://github.com/numpy/numpy/pull/17058>`__: MAINT: Revert boolean casting back to elementwise comparisons... +* `#17062 <https://github.com/numpy/numpy/pull/17062>`__: API, BUG: Raise error on complex input to i0 +* `#17063 <https://github.com/numpy/numpy/pull/17063>`__: MAINT: Remove obsolete conversion to set +* `#17067 <https://github.com/numpy/numpy/pull/17067>`__: DEP: lib: Remove the deprecated financial functions. +* `#17068 <https://github.com/numpy/numpy/pull/17068>`__: MAINT, BUG: Remove uses of PyString_FromString. +* `#17074 <https://github.com/numpy/numpy/pull/17074>`__: DOC: use the pydata_sphinx_theme +* `#17078 <https://github.com/numpy/numpy/pull/17078>`__: DOC: Fixes duplication of toctree content (Closes #17077) +* `#17091 <https://github.com/numpy/numpy/pull/17091>`__: MAINT: Bump pytest-cov from 2.10.0 to 2.10.1 +* `#17092 <https://github.com/numpy/numpy/pull/17092>`__: MAINT: Bump hypothesis from 5.23.12 to 5.26.0 +* `#17093 <https://github.com/numpy/numpy/pull/17093>`__: NEP: Adjust NEP-35 to make it more user-accessible +* `#17104 <https://github.com/numpy/numpy/pull/17104>`__: ENH: Add placeholder stubs for all sub-modules +* `#17109 <https://github.com/numpy/numpy/pull/17109>`__: MAINT: Split einsum into multiple files +* `#17112 <https://github.com/numpy/numpy/pull/17112>`__: BUG: Handle errors from the PyCapsule API +* `#17115 <https://github.com/numpy/numpy/pull/17115>`__: DOC: Fix spacing in vectorize doc +* `#17116 <https://github.com/numpy/numpy/pull/17116>`__: API: Remove ``np.ctypeslib.ctypes_load_library`` +* `#17119 <https://github.com/numpy/numpy/pull/17119>`__: DOC: make spacing consistent in NEP 41 bullet points +* `#17121 <https://github.com/numpy/numpy/pull/17121>`__: BUG: core: fix ilp64 blas dot/vdot/... for strides > int32 max +* `#17123 <https://github.com/numpy/numpy/pull/17123>`__: ENH: allow running mypy through runtests.py +* `#17127 <https://github.com/numpy/numpy/pull/17127>`__: MAINT: Remove duplicated symbols from link step +* `#17129 <https://github.com/numpy/numpy/pull/17129>`__: BLD: Check for reduce intrinsics and AVX512BW mask operations +* `#17132 <https://github.com/numpy/numpy/pull/17132>`__: MAINT: Chain some exceptions in arraysetops. +* `#17133 <https://github.com/numpy/numpy/pull/17133>`__: MAINT: Chain ValueError in ma.timer_comparison +* `#17137 <https://github.com/numpy/numpy/pull/17137>`__: API,MAINT: Rewrite promotion using common DType and common instance +* `#17141 <https://github.com/numpy/numpy/pull/17141>`__: MAINT: Make arrayprint str and repr the ndarray defaults. +* `#17142 <https://github.com/numpy/numpy/pull/17142>`__: DOC: NEP-42: Fix a few typos. +* `#17143 <https://github.com/numpy/numpy/pull/17143>`__: MAINT: Change handling of the expired financial functions. +* `#17144 <https://github.com/numpy/numpy/pull/17144>`__: ENH: Add annotations to 3 functions in ``np.core.function_base`` +* `#17145 <https://github.com/numpy/numpy/pull/17145>`__: MAINT, BUG: Replace uses of PyString_AsString. +* `#17146 <https://github.com/numpy/numpy/pull/17146>`__: MAINT: ``Replace PyUString_*`` by ``PyUnicode_*`` equivalents. +* `#17149 <https://github.com/numpy/numpy/pull/17149>`__: MAINT: Replace PyInt macros with their PyLong replacement +* `#17150 <https://github.com/numpy/numpy/pull/17150>`__: ENH: Add support for the abstract scalars to cython code +* `#17151 <https://github.com/numpy/numpy/pull/17151>`__: BUG: Fix incorrect cython definition of npy_cfloat +* `#17152 <https://github.com/numpy/numpy/pull/17152>`__: MAINT: Clean up some ``Npy_`` vs ``Py_`` macro usage +* `#17154 <https://github.com/numpy/numpy/pull/17154>`__: DOC: Remove references to PyCObject +* `#17159 <https://github.com/numpy/numpy/pull/17159>`__: DOC: Update numpy4matlab +* `#17160 <https://github.com/numpy/numpy/pull/17160>`__: Clean up some more bytes vs unicode handling +* `#17161 <https://github.com/numpy/numpy/pull/17161>`__: BUG: Remove Void special case for "safe casting" +* `#17163 <https://github.com/numpy/numpy/pull/17163>`__: MAINT: Remove redundant headers +* `#17164 <https://github.com/numpy/numpy/pull/17164>`__: MAINT: Remove ``NPY_COPY_PYOBJECT_PTR`` +* `#17167 <https://github.com/numpy/numpy/pull/17167>`__: BLD: Merge the npysort library into multiarray +* `#17168 <https://github.com/numpy/numpy/pull/17168>`__: TST: Add tests mapping out the rules for metadata in promotion +* `#17171 <https://github.com/numpy/numpy/pull/17171>`__: BUG: revert trim_zeros changes from gh-16911 +* `#17172 <https://github.com/numpy/numpy/pull/17172>`__: ENH: Make ``np.complexfloating`` generic w.r.t. ``np.floating`` +* `#17176 <https://github.com/numpy/numpy/pull/17176>`__: MAINT/ENH: datetime: remove calls to PyUnicode_AsASCIIString,... +* `#17180 <https://github.com/numpy/numpy/pull/17180>`__: ENH: Added missing methods to ``np.flatiter`` +* `#17181 <https://github.com/numpy/numpy/pull/17181>`__: DOC: Correct error in description of ndarray.base +* `#17182 <https://github.com/numpy/numpy/pull/17182>`__: DOC: Document ``dtype.metadata`` +* `#17186 <https://github.com/numpy/numpy/pull/17186>`__: MAINT: Use utf8 strings in more of datetime +* `#17188 <https://github.com/numpy/numpy/pull/17188>`__: MAINT: Add placeholder stubs for ``ndarray`` and ``generic`` +* `#17191 <https://github.com/numpy/numpy/pull/17191>`__: MAINT: Bump hypothesis from 5.26.0 to 5.30.0 +* `#17193 <https://github.com/numpy/numpy/pull/17193>`__: MAINT: Remove some callers of functions in numpy.compat +* `#17195 <https://github.com/numpy/numpy/pull/17195>`__: ENH: Make the window functions exactly symmetric +* `#17197 <https://github.com/numpy/numpy/pull/17197>`__: MAINT: Improve error handling in npy_cpu_init +* `#17199 <https://github.com/numpy/numpy/pull/17199>`__: DOC: Fix the documented signatures of four ``ufunc`` methods +* `#17201 <https://github.com/numpy/numpy/pull/17201>`__: MAINT: Make the ``NPY_CPU_DISPATCH_CALL`` macros expressions not... +* `#17204 <https://github.com/numpy/numpy/pull/17204>`__: DOC: Fixed headings for tutorials so they appear at new theme... +* `#17210 <https://github.com/numpy/numpy/pull/17210>`__: DOC: Canonical_urls +* `#17214 <https://github.com/numpy/numpy/pull/17214>`__: MAINT: Fix various issues with the ``np.generic`` annotations +* `#17219 <https://github.com/numpy/numpy/pull/17219>`__: BLD: enabled negation of library choices in ``NPY_*_ORDER`` +* `#17220 <https://github.com/numpy/numpy/pull/17220>`__: BUG, DOC: comment out metadata added via javascript +* `#17222 <https://github.com/numpy/numpy/pull/17222>`__: MAINT, DOC: move informational files from numpy.doc.*.py to their... +* `#17223 <https://github.com/numpy/numpy/pull/17223>`__: MAINT: use sysconfig not distutils.sysconfig where possible +* `#17225 <https://github.com/numpy/numpy/pull/17225>`__: BUG: Fix dimension discovery of within array ragged cases +* `#17227 <https://github.com/numpy/numpy/pull/17227>`__: DOC: Added templates for different types of issues. +* `#17233 <https://github.com/numpy/numpy/pull/17233>`__: DEP: Deprecated ndindex.ndincr +* `#17235 <https://github.com/numpy/numpy/pull/17235>`__: MAINT: Remove old PY_VERSION_HEX and sys.version_info code +* `#17237 <https://github.com/numpy/numpy/pull/17237>`__: BUG: Avoid using ``np.random`` in typing tests. +* `#17239 <https://github.com/numpy/numpy/pull/17239>`__: DOC: Fix link quick-start in old random API functions +* `#17241 <https://github.com/numpy/numpy/pull/17241>`__: MAINT: ``__array_interface__`` data address cannot be bytes +* `#17242 <https://github.com/numpy/numpy/pull/17242>`__: MAINT: Run slow CI jobs earlier so builds finishes sooner +* `#17247 <https://github.com/numpy/numpy/pull/17247>`__: ENH: Add tool to help speed up Travis CI +* `#17250 <https://github.com/numpy/numpy/pull/17250>`__: DOC: Fix docstring cross-referencing +* `#17252 <https://github.com/numpy/numpy/pull/17252>`__: DOC: Added a PR "Reviewer guidelines" document. +* `#17257 <https://github.com/numpy/numpy/pull/17257>`__: DOC: work around a bug in the new theme +* `#17258 <https://github.com/numpy/numpy/pull/17258>`__: SIMD: add fused multiply subtract/add intrinics for all supported... +* `#17259 <https://github.com/numpy/numpy/pull/17259>`__: MAINT: Bump hypothesis from 5.30.0 to 5.33.0 +* `#17260 <https://github.com/numpy/numpy/pull/17260>`__: MAINT: Bump pydata-sphinx-theme from 0.3.2 to 0.4.0 +* `#17263 <https://github.com/numpy/numpy/pull/17263>`__: DOC: add new glossary terms +* `#17264 <https://github.com/numpy/numpy/pull/17264>`__: DOC: remove some glosssary terms +* `#17267 <https://github.com/numpy/numpy/pull/17267>`__: TST: Fix the path to ``mypy.ini`` in ``runtests.py`` +* `#17268 <https://github.com/numpy/numpy/pull/17268>`__: BUG: sysconfig attributes/distutils issue +* `#17273 <https://github.com/numpy/numpy/pull/17273>`__: ENH: Annotate the arithmetic operations of ``ndarray`` and ``generic`` +* `#17278 <https://github.com/numpy/numpy/pull/17278>`__: MAINT: Merge together index page content into a single file +* `#17279 <https://github.com/numpy/numpy/pull/17279>`__: DOC: Fix a typo in shape_base. +* `#17284 <https://github.com/numpy/numpy/pull/17284>`__: ENH: Pass optimizations arguments to asv build +* `#17285 <https://github.com/numpy/numpy/pull/17285>`__: DEP: Change the financial name access warning to DeprecationWarning +* `#17288 <https://github.com/numpy/numpy/pull/17288>`__: REL: Update master after 1.19.2 release. +* `#17289 <https://github.com/numpy/numpy/pull/17289>`__: MAINT: Simplify ufunc pickling +* `#17290 <https://github.com/numpy/numpy/pull/17290>`__: MAINT: Cleanup some pystring macros +* `#17292 <https://github.com/numpy/numpy/pull/17292>`__: MAINT: Replace remaining PyString macros. +* `#17293 <https://github.com/numpy/numpy/pull/17293>`__: MAINT: Replace PyUString_Check by PyUnicode_Check. +* `#17295 <https://github.com/numpy/numpy/pull/17295>`__: BUG,ENH: fix pickling user-scalars by allowing non-format buffer... +* `#17296 <https://github.com/numpy/numpy/pull/17296>`__: MAINT: Replace some ``pyint_*`` macros defined in ``npy_3kcompat``. +* `#17297 <https://github.com/numpy/numpy/pull/17297>`__: BLD: set upper versions for build dependencies +* `#17299 <https://github.com/numpy/numpy/pull/17299>`__: MAINT: (dtype-transfer) make copyswapn and legacy cast wrapper... +* `#17300 <https://github.com/numpy/numpy/pull/17300>`__: MAINT: Replace PyBaseString_Check by PyUnicode_Check +* `#17302 <https://github.com/numpy/numpy/pull/17302>`__: MAINT: Replace a couple of missed npy_3kcompat macros +* `#17304 <https://github.com/numpy/numpy/pull/17304>`__: BUILD: pin pygments to 2.6.1, 2.7.0 breaks custom NumPyC lexer +* `#17307 <https://github.com/numpy/numpy/pull/17307>`__: MAINT: Bump hypothesis from 5.33.0 to 5.35.1 +* `#17308 <https://github.com/numpy/numpy/pull/17308>`__: MAINT: Bump pytest from 6.0.1 to 6.0.2 +* `#17309 <https://github.com/numpy/numpy/pull/17309>`__: MAINT: Move the ``fromnumeric`` annotations to their own stub file +* `#17312 <https://github.com/numpy/numpy/pull/17312>`__: MAINT: Syntax-highlight .src files on github +* `#17313 <https://github.com/numpy/numpy/pull/17313>`__: MAINT: Mark vendored/generated files in .gitattributes +* `#17315 <https://github.com/numpy/numpy/pull/17315>`__: MAINT: Cleanup f2py/cfuncs.py +* `#17319 <https://github.com/numpy/numpy/pull/17319>`__: BUG: Set deprecated fields to null in PyArray_InitArrFuncs +* `#17320 <https://github.com/numpy/numpy/pull/17320>`__: BUG: allow registration of hard-coded structured dtypes +* `#17326 <https://github.com/numpy/numpy/pull/17326>`__: ENH: Add annotations for five array construction functions +* `#17329 <https://github.com/numpy/numpy/pull/17329>`__: DOC: Fix incorrect ``.. deprecated::`` syntax that led to this... +* `#17330 <https://github.com/numpy/numpy/pull/17330>`__: DOC: improve ``issubdtype`` and scalar type docs +* `#17331 <https://github.com/numpy/numpy/pull/17331>`__: DOC: Remove the tables of scalar types, and use ``..autoclass``... +* `#17332 <https://github.com/numpy/numpy/pull/17332>`__: DOC, BLD: update lexer highlighting and make numpydocs a regular... +* `#17334 <https://github.com/numpy/numpy/pull/17334>`__: MAINT: Chaining exceptions in npyio.py +* `#17337 <https://github.com/numpy/numpy/pull/17337>`__: NEP: Regenerate table in NEP 29 (add numpy 1.18 and 1.19 to list) +* `#17338 <https://github.com/numpy/numpy/pull/17338>`__: DOC: Fix syntax errors in docstrings for versionchanged, versionadded +* `#17340 <https://github.com/numpy/numpy/pull/17340>`__: SIMD: Add partial/non-contig load and store intrinsics for 32/64-bit +* `#17344 <https://github.com/numpy/numpy/pull/17344>`__: ENH, BLD: Support for the NVIDIA HPC SDK nvfortran compiler +* `#17346 <https://github.com/numpy/numpy/pull/17346>`__: BLD,BUG: Fix a macOS build failure when ``NPY_BLAS_ORDER=""`` +* `#17350 <https://github.com/numpy/numpy/pull/17350>`__: DEV: Add PR prefix labeler and numpy prefix mapping +* `#17352 <https://github.com/numpy/numpy/pull/17352>`__: DOC: Guide to writing how-tos +* `#17353 <https://github.com/numpy/numpy/pull/17353>`__: DOC: How-to guide for I/O +* `#17354 <https://github.com/numpy/numpy/pull/17354>`__: DOC: clarify residuals return param +* `#17356 <https://github.com/numpy/numpy/pull/17356>`__: ENH: Add Npy__PyLong_AsInt function. +* `#17357 <https://github.com/numpy/numpy/pull/17357>`__: MAINT: Bump hypothesis from 5.35.1 to 5.35.3 +* `#17364 <https://github.com/numpy/numpy/pull/17364>`__: MAINT: Finish replacing PyInt_Check +* `#17369 <https://github.com/numpy/numpy/pull/17369>`__: DOC: distutils: Remove an obsolete paragraph. +* `#17370 <https://github.com/numpy/numpy/pull/17370>`__: NEP: Edit nep-0042 for more clarity +* `#17372 <https://github.com/numpy/numpy/pull/17372>`__: ENH: Add annotations for remaining ``ndarray`` / ``generic`` non-magic... +* `#17373 <https://github.com/numpy/numpy/pull/17373>`__: BUG: Fixes module data docstrings. +* `#17375 <https://github.com/numpy/numpy/pull/17375>`__: DOC: Fix default_rng docstring +* `#17377 <https://github.com/numpy/numpy/pull/17377>`__: BUG: ensure _UFuncNoLoopError can be pickled +* `#17380 <https://github.com/numpy/numpy/pull/17380>`__: Minor grammatical correction in quickstart doc. +* `#17382 <https://github.com/numpy/numpy/pull/17382>`__: DOC: NumPy restyling for pydata theme +* `#17383 <https://github.com/numpy/numpy/pull/17383>`__: MAINT: Fix docstring for np.matmul +* `#17386 <https://github.com/numpy/numpy/pull/17386>`__: MAINT: Bump hypothesis from 5.35.3 to 5.36.1 +* `#17388 <https://github.com/numpy/numpy/pull/17388>`__: MAINT: Remove old debug print statement. +* `#17391 <https://github.com/numpy/numpy/pull/17391>`__: DOC: Replace "About NumPy" with "Document conventions" +* `#17392 <https://github.com/numpy/numpy/pull/17392>`__: DOC: Update info on doc style rules +* `#17393 <https://github.com/numpy/numpy/pull/17393>`__: BUG: Fix default void, datetime, and timedelta in array coercion +* `#17396 <https://github.com/numpy/numpy/pull/17396>`__: MAINT: Replace append_metastr_to_string function. +* `#17399 <https://github.com/numpy/numpy/pull/17399>`__: BLD: Fixed ARGOUTVIEWM memory deallocation. Closes #17398. +* `#17400 <https://github.com/numpy/numpy/pull/17400>`__: DOC: rm incorrect alias from recarray user article. +* `#17401 <https://github.com/numpy/numpy/pull/17401>`__: MAINT: Rewrite can-cast logic in terms of NEP 42 +* `#17402 <https://github.com/numpy/numpy/pull/17402>`__: DOC: Add arraysetops to an autosummary +* `#17404 <https://github.com/numpy/numpy/pull/17404>`__: MAINT: Replace PyUString_ConcatAndDel in nditer_constr.c. +* `#17405 <https://github.com/numpy/numpy/pull/17405>`__: MAINT: Replace PyUString_ConcatAndDel in mapping.c. +* `#17406 <https://github.com/numpy/numpy/pull/17406>`__: ENH: Replace the module-level ``__getattr__`` with explicit type... +* `#17407 <https://github.com/numpy/numpy/pull/17407>`__: DOC: in PR template, set expectations for PR review timeline +* `#17409 <https://github.com/numpy/numpy/pull/17409>`__: MAINT: Cleanup remaining PyUString_ConcatAndDel use. +* `#17410 <https://github.com/numpy/numpy/pull/17410>`__: API: Special case how numpy scalars are coerced to signed integer +* `#17411 <https://github.com/numpy/numpy/pull/17411>`__: TST: Mark the typing tests as slow +* `#17412 <https://github.com/numpy/numpy/pull/17412>`__: DOC: Fix a parameter type in the ``putmask`` docs +* `#17418 <https://github.com/numpy/numpy/pull/17418>`__: DOC: adding operational form documentation for array ops +* `#17419 <https://github.com/numpy/numpy/pull/17419>`__: DEP: Deprecate coercion to subarray dtypes +* `#17421 <https://github.com/numpy/numpy/pull/17421>`__: BUG: Fix memory leak in array-coercion error paths +* `#17422 <https://github.com/numpy/numpy/pull/17422>`__: MAINT: chains nested try-except in numpy/ma/core.py +* `#17423 <https://github.com/numpy/numpy/pull/17423>`__: DOC: Remove bogus reference to _a_ +* `#17424 <https://github.com/numpy/numpy/pull/17424>`__: DOC: Fix formatting issues in description of .c.src files +* `#17427 <https://github.com/numpy/numpy/pull/17427>`__: NEP: nep-0029 typo correction +* `#17429 <https://github.com/numpy/numpy/pull/17429>`__: MAINT: Move aliases for common scalar unions to ``numpy.typing`` +* `#17430 <https://github.com/numpy/numpy/pull/17430>`__: BUG: Fix memoryleaks related to NEP 37 function overrides +* `#17431 <https://github.com/numpy/numpy/pull/17431>`__: DOC: Fix the links for ``Ellipsis`` +* `#17432 <https://github.com/numpy/numpy/pull/17432>`__: DOC: add references to einops and opt_einsum +* `#17433 <https://github.com/numpy/numpy/pull/17433>`__: MAINT : Disable 32 bit PyPy CI testing on Windows. +* `#17435 <https://github.com/numpy/numpy/pull/17435>`__: DOC: Security warning for issues template +* `#17436 <https://github.com/numpy/numpy/pull/17436>`__: DOC: Fix "Feature request" spelling in issue templates +* `#17438 <https://github.com/numpy/numpy/pull/17438>`__: MAINT: Chaining exception in numpy\numpy\ma\mrecords.py +* `#17440 <https://github.com/numpy/numpy/pull/17440>`__: DOC: Cleaner template for PRs +* `#17442 <https://github.com/numpy/numpy/pull/17442>`__: MAINT: fix exception chaining in format.py +* `#17443 <https://github.com/numpy/numpy/pull/17443>`__: ENH: Warn on unsupported Python 3.10+ +* `#17444 <https://github.com/numpy/numpy/pull/17444>`__: ENH: Add ``Typing :: Typed`` to the PyPi classifier +* `#17445 <https://github.com/numpy/numpy/pull/17445>`__: DOC: Fix the references for macros +* `#17447 <https://github.com/numpy/numpy/pull/17447>`__: NEP: update NEP 42 with discussion of type hinting applications +* `#17448 <https://github.com/numpy/numpy/pull/17448>`__: DOC: Remove CoC pages from Sphinx +* `#17453 <https://github.com/numpy/numpy/pull/17453>`__: MAINT: Chain exceptions in "_polybase.py" +* `#17455 <https://github.com/numpy/numpy/pull/17455>`__: MAINT: Bump hypothesis from 5.36.1 to 5.37.0 +* `#17456 <https://github.com/numpy/numpy/pull/17456>`__: ENH: add dtype option to numpy.lib.function_base.cov and corrcoef +* `#17457 <https://github.com/numpy/numpy/pull/17457>`__: BUG: Fixes incorrect error message in numpy.ediff1d +* `#17459 <https://github.com/numpy/numpy/pull/17459>`__: DOC: update code of conduct URL +* `#17464 <https://github.com/numpy/numpy/pull/17464>`__: DOC: Add some entries for C types and macros +* `#17465 <https://github.com/numpy/numpy/pull/17465>`__: ENH: Add annotations for bitwise operations +* `#17468 <https://github.com/numpy/numpy/pull/17468>`__: DOC: add some missing scalar aliases +* `#17472 <https://github.com/numpy/numpy/pull/17472>`__: TST: Fix doctest for full_like +* `#17473 <https://github.com/numpy/numpy/pull/17473>`__: MAINT: py3k: remove os.fspath and os.PathLike backports +* `#17474 <https://github.com/numpy/numpy/pull/17474>`__: MAINT: Move the ``np.core.numeric`` annotations to their own stub... +* `#17479 <https://github.com/numpy/numpy/pull/17479>`__: ENH: type ``np.unicode_`` as ``np.str_`` +* `#17481 <https://github.com/numpy/numpy/pull/17481>`__: DOC: Fix the entries for members of structures +* `#17483 <https://github.com/numpy/numpy/pull/17483>`__: DOC: Fix the references for ``random.*`` +* `#17485 <https://github.com/numpy/numpy/pull/17485>`__: BLD: circleCI- merge before build, add -n to sphinx +* `#17487 <https://github.com/numpy/numpy/pull/17487>`__: MAINT: Remove duplicate placeholder annotations +* `#17497 <https://github.com/numpy/numpy/pull/17497>`__: DOC: Use consistent lowercase on docs landing page +* `#17498 <https://github.com/numpy/numpy/pull/17498>`__: MAINT: fix incompatible type comparison in numpy.lib.utils.info +* `#17501 <https://github.com/numpy/numpy/pull/17501>`__: BUG: Fix failures in master related to userdtype registeration +* `#17502 <https://github.com/numpy/numpy/pull/17502>`__: BUG: remove ``sys`` from the type stubs +* `#17503 <https://github.com/numpy/numpy/pull/17503>`__: DOC: Fix empty 'C style guide' page +* `#17504 <https://github.com/numpy/numpy/pull/17504>`__: DOC: Rename 'Quickstart tutorial' +* `#17508 <https://github.com/numpy/numpy/pull/17508>`__: ENH: Added the Final feature for all constants +* `#17510 <https://github.com/numpy/numpy/pull/17510>`__: DOC: Fewer blank lines in PR template +* `#17520 <https://github.com/numpy/numpy/pull/17520>`__: DOC: Display real license on license page +* `#17521 <https://github.com/numpy/numpy/pull/17521>`__: DOC: Add docstrings for some scalar types +* `#17523 <https://github.com/numpy/numpy/pull/17523>`__: DOC: Update top links in landing page +* `#17525 <https://github.com/numpy/numpy/pull/17525>`__: CI: Make merge ref grabbing conditional on the PR being active +* `#17527 <https://github.com/numpy/numpy/pull/17527>`__: DOC: Fix Bool types in C functions +* `#17528 <https://github.com/numpy/numpy/pull/17528>`__: Doc: Fix some links and typos +* `#17529 <https://github.com/numpy/numpy/pull/17529>`__: MAINT: Cleanup compatibility code for pathlib +* `#17534 <https://github.com/numpy/numpy/pull/17534>`__: DOC: Fix a typo +* `#17535 <https://github.com/numpy/numpy/pull/17535>`__: ENH: add function to get broadcast shape from a given set of... +* `#17536 <https://github.com/numpy/numpy/pull/17536>`__: BUG: Fixed crash on self-referential dtypes +* `#17537 <https://github.com/numpy/numpy/pull/17537>`__: MAINT: Bump hypothesis from 5.37.0 to 5.37.1 +* `#17538 <https://github.com/numpy/numpy/pull/17538>`__: MAINT: Bump pydata-sphinx-theme from 0.4.0 to 0.4.1 +* `#17539 <https://github.com/numpy/numpy/pull/17539>`__: MAINT: Bump mypy from 0.782 to 0.790 +* `#17540 <https://github.com/numpy/numpy/pull/17540>`__: ENH: Make ``np.number`` generic with respect to its precision +* `#17541 <https://github.com/numpy/numpy/pull/17541>`__: CI: fix conditional for PR merge command +* `#17546 <https://github.com/numpy/numpy/pull/17546>`__: MAINT: explicit disabling ``CCompilerOpt`` in F2PY +* `#17548 <https://github.com/numpy/numpy/pull/17548>`__: BUG: Cygwin Workaround for #14787 on affected platforms +* `#17549 <https://github.com/numpy/numpy/pull/17549>`__: DOC: Fix the entries of C functions +* `#17555 <https://github.com/numpy/numpy/pull/17555>`__: DOC: Fix wrong blockquotes +* `#17558 <https://github.com/numpy/numpy/pull/17558>`__: DOC: MAINT: Add NEP 43 links to NEP 42 +* `#17559 <https://github.com/numpy/numpy/pull/17559>`__: DOC: Remove directives for some constants +* `#17564 <https://github.com/numpy/numpy/pull/17564>`__: MAINT: Update the annotations in ``np.core.numeric`` +* `#17570 <https://github.com/numpy/numpy/pull/17570>`__: DOC: Add the entry for ``NPY_FEATURE_VERSION`` +* `#17571 <https://github.com/numpy/numpy/pull/17571>`__: DOC: Fix typos +* `#17572 <https://github.com/numpy/numpy/pull/17572>`__: ENH: Add annotations for three new constants +* `#17576 <https://github.com/numpy/numpy/pull/17576>`__: DOC: Fix Boolean array indexing typo +* `#17577 <https://github.com/numpy/numpy/pull/17577>`__: BUG: Respect dtype of all-zero argument to poly1d +* `#17578 <https://github.com/numpy/numpy/pull/17578>`__: NEP36: include additional feedback +* `#17580 <https://github.com/numpy/numpy/pull/17580>`__: MAINT: Cleanup swig for Python 3. +* `#17581 <https://github.com/numpy/numpy/pull/17581>`__: MAINT: Move the ``np.core.numerictypes`` annotations to their own... +* `#17583 <https://github.com/numpy/numpy/pull/17583>`__: MAINT: Bump hypothesis from 5.37.1 to 5.37.3 +* `#17584 <https://github.com/numpy/numpy/pull/17584>`__: ENH: Add annotations for ``np.core._type_aliases`` +* `#17594 <https://github.com/numpy/numpy/pull/17594>`__: DOC: Typo in lexsort docstring +* `#17596 <https://github.com/numpy/numpy/pull/17596>`__: DEP,BUG: Coercion/cast of array to a subarray dtype will be fixed +* `#17597 <https://github.com/numpy/numpy/pull/17597>`__: TST: Clean up the errors of the typing tests +* `#17598 <https://github.com/numpy/numpy/pull/17598>`__: BUG: Fixed file handle leak in array_tofile. +* `#17601 <https://github.com/numpy/numpy/pull/17601>`__: TST: Fix a broken ``np.core.numeric`` test +* `#17603 <https://github.com/numpy/numpy/pull/17603>`__: MAINT: Mark dead code as intentional for clang. +* `#17607 <https://github.com/numpy/numpy/pull/17607>`__: DOC: removed old references to submodule licenses +* `#17608 <https://github.com/numpy/numpy/pull/17608>`__: DOC: Fix typos (general documentation) +* `#17610 <https://github.com/numpy/numpy/pull/17610>`__: Fully qualify license trove classifier +* `#17611 <https://github.com/numpy/numpy/pull/17611>`__: BUG: mac dylib treated as part of extra objects by f2py +* `#17613 <https://github.com/numpy/numpy/pull/17613>`__: ENH: Add annotations for 9 ``ndarray``/``generic`` magic methods +* `#17614 <https://github.com/numpy/numpy/pull/17614>`__: DOC: Fix the document for arrays interface +* `#17618 <https://github.com/numpy/numpy/pull/17618>`__: MAINT: Conversion of some strings to f-strings +* `#17619 <https://github.com/numpy/numpy/pull/17619>`__: DOC: Fix some references +* `#17621 <https://github.com/numpy/numpy/pull/17621>`__: TST: Valid docstring for config_py function show() +* `#17622 <https://github.com/numpy/numpy/pull/17622>`__: MAINT: Conversion of some strings to fstrings, part II +* `#17623 <https://github.com/numpy/numpy/pull/17623>`__: MAINT: Conversion of some strings to fstrings, part III +* `#17624 <https://github.com/numpy/numpy/pull/17624>`__: DOC: Tidy up references to ``str_`` / ``bytes_`` +* `#17625 <https://github.com/numpy/numpy/pull/17625>`__: MAINT: Conversion of some strings to fstrings, part iv +* `#17627 <https://github.com/numpy/numpy/pull/17627>`__: DOC: Fix the references for ``__array_*__`` +* `#17628 <https://github.com/numpy/numpy/pull/17628>`__: DOC: Add entries for macros +* `#17629 <https://github.com/numpy/numpy/pull/17629>`__: DOC: Add ``identity_value`` to ``PyUFuncObject`` +* `#17630 <https://github.com/numpy/numpy/pull/17630>`__: DOC: Replace ``PyCObject`` with ``PyCapsule`` +* `#17633 <https://github.com/numpy/numpy/pull/17633>`__: DOC: Don't use Python highlighting for non-python code +* `#17638 <https://github.com/numpy/numpy/pull/17638>`__: DOC: Fix some references +* `#17639 <https://github.com/numpy/numpy/pull/17639>`__: MAINT: Bump hypothesis from 5.37.3 to 5.38.0 +* `#17641 <https://github.com/numpy/numpy/pull/17641>`__: MAINT, BLD: update to OpenBLAS v0.3.12 +* `#17642 <https://github.com/numpy/numpy/pull/17642>`__: DOC: Fix reference to atleast_1d +* `#17643 <https://github.com/numpy/numpy/pull/17643>`__: ENH: Add annotations for ``np.core._ufunc_config`` +* `#17644 <https://github.com/numpy/numpy/pull/17644>`__: ENH: Add annotations for ``np.core.shape_base`` +* `#17645 <https://github.com/numpy/numpy/pull/17645>`__: BUG: fix np.timedelta64('nat').__format__ throwing an exception +* `#17654 <https://github.com/numpy/numpy/pull/17654>`__: BUG: f2py incorrectly translates dimension declarations. +* `#17655 <https://github.com/numpy/numpy/pull/17655>`__: BLD: Fix installing Numpy on z/OS +* `#17657 <https://github.com/numpy/numpy/pull/17657>`__: NEP: Ensure inner loop signature is complete everywhere +* `#17658 <https://github.com/numpy/numpy/pull/17658>`__: TST: simplify source path names in compilation test +* `#17662 <https://github.com/numpy/numpy/pull/17662>`__: TST: f2py: Add a doctest for ``getlincoef`` +* `#17666 <https://github.com/numpy/numpy/pull/17666>`__: REL: Update master after 1.19.3 release. +* `#17668 <https://github.com/numpy/numpy/pull/17668>`__: TST: Make test suite work in FIPS (140-2) Mode +* `#17670 <https://github.com/numpy/numpy/pull/17670>`__: DOC: f2py: Add a docstring for getarrlen +* `#17672 <https://github.com/numpy/numpy/pull/17672>`__: DOC: Update README badge for travis-ci.com +* `#17673 <https://github.com/numpy/numpy/pull/17673>`__: MAINT: Refine a number of ``np.generic`` annotations +* `#17675 <https://github.com/numpy/numpy/pull/17675>`__: MAINT: Update release documentation and software +* `#17681 <https://github.com/numpy/numpy/pull/17681>`__: SIMD: Add sum intrinsics for float/double. +* `#17682 <https://github.com/numpy/numpy/pull/17682>`__: BUG: (nditer_impl.h) Use ``intp`` instead of ``char *`` for offset... +* `#17689 <https://github.com/numpy/numpy/pull/17689>`__: BUG: Fix small bug in ``make_lite.py``. +* `#17691 <https://github.com/numpy/numpy/pull/17691>`__: DOC: Modify Templates +* `#17692 <https://github.com/numpy/numpy/pull/17692>`__: MAINT: Bump hypothesis from 5.38.0 to 5.41.0 +* `#17693 <https://github.com/numpy/numpy/pull/17693>`__: MAINT: Bump pytz from 2020.1 to 2020.4 +* `#17695 <https://github.com/numpy/numpy/pull/17695>`__: TST: use a more standard workflow for PyPy +* `#17696 <https://github.com/numpy/numpy/pull/17696>`__: REL: Update master after 1.19.4 release. +* `#17699 <https://github.com/numpy/numpy/pull/17699>`__: MAINT: Rename ``DtypeLike`` to ``DTypeLike`` +* `#17700 <https://github.com/numpy/numpy/pull/17700>`__: Fix small typos. +* `#17701 <https://github.com/numpy/numpy/pull/17701>`__: BUG: Fixed an issue where ``.pyi`` files were ignored by numpy... +* `#17703 <https://github.com/numpy/numpy/pull/17703>`__: Fix Doc Typos & Added Example +* `#17708 <https://github.com/numpy/numpy/pull/17708>`__: Improve the einsum bench by adding new bench cases and variable... +* `#17715 <https://github.com/numpy/numpy/pull/17715>`__: REV: Revert gh-17654 - f2py incorrectly translates dimension... +* `#17717 <https://github.com/numpy/numpy/pull/17717>`__: MAINT: Add more files to ``.gitgnore`` +* `#17720 <https://github.com/numpy/numpy/pull/17720>`__: API: Do not import sliding_window_view to main namespace +* `#17723 <https://github.com/numpy/numpy/pull/17723>`__: MAINT: Do not override ``sliding_window_view`` module to ``numpy`` +* `#17725 <https://github.com/numpy/numpy/pull/17725>`__: NEP: Add NEP-35 instructions on reading like= downstream +* `#17729 <https://github.com/numpy/numpy/pull/17729>`__: BLD: Use importlib to find numpy root directory in distutils +* `#17733 <https://github.com/numpy/numpy/pull/17733>`__: MAINT: ma: Remove unused ``**options`` from MaskedArray ``__new__``... +* `#17735 <https://github.com/numpy/numpy/pull/17735>`__: TST: Remove Python 3.6 CI testing. +* `#17738 <https://github.com/numpy/numpy/pull/17738>`__: BLD, TST: move linux jobs to github actions +* `#17740 <https://github.com/numpy/numpy/pull/17740>`__: MAINT: Bump hypothesis from 5.41.0 to 5.41.2 +* `#17743 <https://github.com/numpy/numpy/pull/17743>`__: BLD, BUG: Fix cblas detection on windows +* `#17745 <https://github.com/numpy/numpy/pull/17745>`__: TST: add pypy3.7 +* `#17748 <https://github.com/numpy/numpy/pull/17748>`__: BLD: compare platform.architecture() correctly +* `#17749 <https://github.com/numpy/numpy/pull/17749>`__: DOC: Add "performance" category to the release notes +* `#17751 <https://github.com/numpy/numpy/pull/17751>`__: BUG: Fix segfault due to out of bound pointer in floatstatus... +* `#17753 <https://github.com/numpy/numpy/pull/17753>`__: BUG: Fix buffer export dtype references +* `#17755 <https://github.com/numpy/numpy/pull/17755>`__: BUG: Fix memory leaks found using valgrind +* `#17758 <https://github.com/numpy/numpy/pull/17758>`__: BLD: Lazy load f2py test utilities +* `#17759 <https://github.com/numpy/numpy/pull/17759>`__: BLD: use BUFFERSIZE=20 in OpenBLAS +* `#17763 <https://github.com/numpy/numpy/pull/17763>`__: SIMD, BUG: fix reuses the previous values during the fallback... +* `#17768 <https://github.com/numpy/numpy/pull/17768>`__: MAINT: update link to website in FUNDING.yml +* `#17773 <https://github.com/numpy/numpy/pull/17773>`__: MAINT: Add BLD and STY to labeler prefixes. +* `#17776 <https://github.com/numpy/numpy/pull/17776>`__: MAINT: Simplify Hypothesis configuration +* `#17787 <https://github.com/numpy/numpy/pull/17787>`__: NEP: Make like= argument added in NEP-35 strict +* `#17788 <https://github.com/numpy/numpy/pull/17788>`__: DOC: Fix up links, code blocks of release note fragments +* `#17796 <https://github.com/numpy/numpy/pull/17796>`__: MAINT: Minor touchups in npyio +* `#17802 <https://github.com/numpy/numpy/pull/17802>`__: MAINT: Update mailmap. +* `#17805 <https://github.com/numpy/numpy/pull/17805>`__: MAINT: Set the ufunc and ndarray ops return type to ``Any`` +* `#17812 <https://github.com/numpy/numpy/pull/17812>`__: Update linalg.py +* `#17815 <https://github.com/numpy/numpy/pull/17815>`__: DOC: Fix empty_like docstring +* `#17823 <https://github.com/numpy/numpy/pull/17823>`__: DOC: Add missing release fragments to ``upcoming_changes``. +* `#17828 <https://github.com/numpy/numpy/pull/17828>`__: BUG: Fix incorrectly passed size in masked processing +* `#17829 <https://github.com/numpy/numpy/pull/17829>`__: MAINT: Bump hypothesis from 5.41.2 to 5.41.3 +* `#17830 <https://github.com/numpy/numpy/pull/17830>`__: TST: Add back durations flag for DEBUG builds. +* `#17832 <https://github.com/numpy/numpy/pull/17832>`__: BUG: Fix subarray dtype used with too large count in fromfile +* `#17833 <https://github.com/numpy/numpy/pull/17833>`__: BUG: Fix pickling of scalars with ``NPY_LISTPICKLE`` +* `#17838 <https://github.com/numpy/numpy/pull/17838>`__: DOC: Update the ``numpy.typing`` documentation +* `#17841 <https://github.com/numpy/numpy/pull/17841>`__: DOC: Fixing boilerplate code example +* `#17844 <https://github.com/numpy/numpy/pull/17844>`__: MAINT: Add ``__all__`` to ``numpy.typing`` +* `#17848 <https://github.com/numpy/numpy/pull/17848>`__: DOC: Add release note for gh-16161. +* `#17855 <https://github.com/numpy/numpy/pull/17855>`__: BUG: Fix incorrect C function prototypes/declarations. +* `#17857 <https://github.com/numpy/numpy/pull/17857>`__: MAINT: Prepare for the NumPy 1.20.x branch. +* `#17869 <https://github.com/numpy/numpy/pull/17869>`__: BUG, TST: use python-version not PYTHON_VERSION +* `#17875 <https://github.com/numpy/numpy/pull/17875>`__: DOC: Prepare for 1.20.0 release +* `#17879 <https://github.com/numpy/numpy/pull/17879>`__: BUG: Fix buffer readflag errors and small leaks diff --git a/doc/source/release/1.20.0-notes.rst b/doc/source/release/1.20.0-notes.rst index d91bea762..73b470f3f 100644 --- a/doc/source/release/1.20.0-notes.rst +++ b/doc/source/release/1.20.0-notes.rst @@ -3,4 +3,902 @@ ========================== NumPy 1.20.0 Release Notes ========================== +This NumPy release is the largest so made to date, some 648 PRs contributed by +182 people have been merged. See the list of highlights below for more details. +The Python versions supported for this release are 3.7-3.9, support for Python +3.6 has been dropped. Highlights are + +- Annotations for NumPy functions. This work is ongoing and improvements can + be expected pending feedback from users. + +- Wider use of SIMD to increase execution speed of ufuncs. Much work has been + done in introducing universal functions that will ease use of modern + features across different hardware platforms. This work is ongoing. + +- Preliminary work in changing the dtype and casting implementations in order to + provide an easier path to extending dtypes. This work is ongoing but enough + has been done to allow experimentation and feedback. + +- Extensive documentation improvements comprising some 185 PR merges. This work + is ongoing and part of the larger project to improve NumPy's online presence + and usefulness to new users. + +- Further cleanups related to removing Python 2.7. This improves code + readability and removes technical debt. + +- Preliminary support for the upcoming Cython 3.0. + + +New functions +============= + +The random.Generator class has a new ``permuted`` function. +----------------------------------------------------------- +The new function differs from ``shuffle`` and ``permutation`` in that the +subarrays indexed by an axis are permuted rather than the axis being treated as +a separate 1-D array for every combination of the other indexes. For example, +it is now possible to permute the rows or columns of a 2-D array. + +(`gh-15121 <https://github.com/numpy/numpy/pull/15121>`__) + +``sliding_window_view`` provides a sliding window view for numpy arrays +----------------------------------------------------------------------- +`numpy.lib.stride_tricks.sliding_window_view` constructs views on numpy +arrays that offer a sliding or moving window access to the array. This allows +for the simple implementation of certain algorithms, such as running means. + +(`gh-17394 <https://github.com/numpy/numpy/pull/17394>`__) + +`numpy.broadcast_shapes` is a new user-facing function +------------------------------------------------------ +`~numpy.broadcast_shapes` gets the resulting shape from +broadcasting the given shape tuples against each other. + +.. code:: python + + >>> np.broadcast_shapes((1, 2), (3, 1)) + (3, 2) + + >>> np.broadcast_shapes(2, (3, 1)) + (3, 2) + + >>> np.broadcast_shapes((6, 7), (5, 6, 1), (7,), (5, 1, 7)) + (5, 6, 7) + +(`gh-17535 <https://github.com/numpy/numpy/pull/17535>`__) + + +Deprecations +============ + +Using the aliases of builtin types like ``np.int`` is deprecated +---------------------------------------------------------------- + +For a long time, ``np.int`` has been an alias of the builtin ``int``. This is +repeatedly a cause of confusion for newcomers, and is also simply not useful. + +These aliases have been deprecated. The table below shows the full list of +deprecated aliases, along with their exact meaning. Replacing uses of items in +the first column with the contents of the second column will work identically +and silence the deprecation warning. + +In many cases, it may have been intended to use the types from the third column. +Be aware that use of these types may result in subtle but desirable behavior +changes. + +================== ================================= ================================================================== +Deprecated name Identical to Possibly intended numpy type +================== ================================= ================================================================== +``numpy.bool`` ``bool`` `numpy.bool_` +``numpy.int`` ``int`` `numpy.int_` (default int dtype), `numpy.cint` (C ``int``) +``numpy.float`` ``float`` `numpy.float_`, `numpy.double` (equivalent) +``numpy.complex`` ``complex`` `numpy.complex_`, `numpy.cdouble` (equivalent) +``numpy.object`` ``object`` `numpy.object_` +``numpy.str`` ``str`` `numpy.str_` +``numpy.long`` ``int`` (``long`` on Python 2) `numpy.int_` (C ``long``), `numpy.longlong` (largest integer type) +``numpy.unicode`` ``str`` (``unicode`` on Python 2) `numpy.unicode_` +================== ================================= ================================================================== + +Note that for technical reasons these deprecation warnings will only be emitted +on Python 3.7 and above. + +(`gh-14882 <https://github.com/numpy/numpy/pull/14882>`__) + +Passing ``shape=None`` to functions with a non-optional shape argument is deprecated +------------------------------------------------------------------------------------ +Previously, this was an alias for passing ``shape=()``. +This deprecation is emitted by `PyArray_IntpConverter` in the C API. If your +API is intended to support passing ``None``, then you should check for ``None`` +prior to invoking the converter, so as to be able to distinguish ``None`` and +``()``. + +(`gh-15886 <https://github.com/numpy/numpy/pull/15886>`__) + +Indexing errors will be reported even when index result is empty +---------------------------------------------------------------- +In the future, NumPy will raise an IndexError when an +integer array index contains out of bound values even if a non-indexed +dimension is of length 0. This will now emit a DeprecationWarning. +This can happen when the array is previously empty, or an empty +slice is involved:: + + arr1 = np.zeros((5, 0)) + arr1[[20]] + arr2 = np.zeros((5, 5)) + arr2[[20], :0] + +Previously the non-empty index ``[20]`` was not checked for correctness. +It will now be checked causing a deprecation warning which will be turned +into an error. This also applies to assignments. + +(`gh-15900 <https://github.com/numpy/numpy/pull/15900>`__) + +Inexact matches for ``mode`` and ``searchside`` are deprecated +-------------------------------------------------------------- +Inexact and case insensitive matches for ``mode`` and ``searchside`` were valid +inputs earlier and will give a DeprecationWarning now. For example, below are +some example usages which are now deprecated and will give a +DeprecationWarning:: + + import numpy as np + arr = np.array([[3, 6, 6], [4, 5, 1]]) + # mode: inexact match + np.ravel_multi_index(arr, (7, 6), mode="clap") # should be "clip" + # searchside: inexact match + np.searchsorted(arr[0], 4, side='random') # should be "right" + +(`gh-16056 <https://github.com/numpy/numpy/pull/16056>`__) + +Deprecation of `numpy.dual` +--------------------------- +The module `numpy.dual` is deprecated. Instead of importing functions +from `numpy.dual`, the functions should be imported directly from NumPy +or SciPy. + +(`gh-16156 <https://github.com/numpy/numpy/pull/16156>`__) + +``outer`` and ``ufunc.outer`` deprecated for matrix +--------------------------------------------------- +``np.matrix`` use with `~numpy.outer` or generic ufunc outer +calls such as ``numpy.add.outer``. Previously, matrix was +converted to an array here. This will not be done in the future +requiring a manual conversion to arrays. + +(`gh-16232 <https://github.com/numpy/numpy/pull/16232>`__) + +Further Numeric Style types Deprecated +-------------------------------------- + +The remaining numeric-style type codes ``Bytes0``, ``Str0``, +``Uint32``, ``Uint64``, and ``Datetime64`` +have been deprecated. The lower-case variants should be used +instead. For bytes and string ``"S"`` and ``"U"`` +are further alternatives. + +(`gh-16554 <https://github.com/numpy/numpy/pull/16554>`__) + +The ``ndincr`` method of ``ndindex`` is deprecated +-------------------------------------------------- +The documentation has warned against using this function since NumPy 1.8. +Use ``next(it)`` instead of ``it.ndincr()``. + +(`gh-17233 <https://github.com/numpy/numpy/pull/17233>`__) + + +Future Changes +============== + +Arrays cannot be using subarray dtypes +-------------------------------------- +Array creation and casting using ``np.array(arr, dtype)`` +and ``arr.astype(dtype)`` will use different logic when ``dtype`` +is a subarray dtype such as ``np.dtype("(2)i,")``. + +For such a ``dtype`` the following behaviour is true:: + + res = np.array(arr, dtype) + + res.dtype is not dtype + res.dtype is dtype.base + res.shape == arr.shape + dtype.shape + +But ``res`` is filled using the logic:: + + res = np.empty(arr.shape + dtype.shape, dtype=dtype.base) + res[...] = arr + +which uses incorrect broadcasting (and often leads to an error). +In the future, this will instead cast each element individually, +leading to the same result as:: + + res = np.array(arr, dtype=np.dtype(["f", dtype]))["f"] + +Which can normally be used to opt-in to the new behaviour. + +This change does not affect ``np.array(list, dtype="(2)i,")`` unless the +``list`` itself includes at least one array. In particular, the behaviour +is unchanged for a list of tuples. + +(`gh-17596 <https://github.com/numpy/numpy/pull/17596>`__) + + +Expired deprecations +==================== + +* The deprecation of numeric style type-codes ``np.dtype("Complex64")`` + (with upper case spelling), is expired. ``"Complex64"`` corresponded to + ``"complex128"`` and ``"Complex32"`` corresponded to ``"complex64"``. +* The deprecation of ``np.sctypeNA`` and ``np.typeNA`` is expired. Both + have been removed from the public API. Use ``np.typeDict`` instead. + + (`gh-16554 <https://github.com/numpy/numpy/pull/16554>`__) + +* The 14-year deprecation of ``np.ctypeslib.ctypes_load_library`` is expired. + Use :func:`~numpy.ctypeslib.load_library` instead, which is identical. + + (`gh-17116 <https://github.com/numpy/numpy/pull/17116>`__) + +Financial functions removed +--------------------------- +In accordance with NEP 32, the financial functions are removed +from NumPy 1.20. The functions that have been removed are ``fv``, +``ipmt``, ``irr``, ``mirr``, ``nper``, ``npv``, ``pmt``, ``ppmt``, +``pv``, and ``rate``. These functions are available in the +`numpy_financial <https://pypi.org/project/numpy-financial>`_ +library. + +(`gh-17067 <https://github.com/numpy/numpy/pull/17067>`__) + + +Compatibility notes +=================== + +Same kind casting in concatenate with ``axis=None`` +--------------------------------------------------- +When `~numpy.concatenate` is called with ``axis=None``, +the flattened arrays were cast with ``unsafe``. Any other axis +choice uses "same kind". That different default +has been deprecated and "same kind" casting will be used +instead. The new ``casting`` keyword argument +can be used to retain the old behaviour. + +(`gh-16134 <https://github.com/numpy/numpy/pull/16134>`__) + +NumPy Scalars are cast when assigned to arrays +---------------------------------------------- + +When creating or assigning to arrays, in all relevant cases NumPy +scalars will now be cast identically to NumPy arrays. In particular +this changes the behaviour in some cases which previously raised an +error:: + + np.array([np.float64(np.nan)], dtype=np.int64) + +will succeed and return an undefined result (usually the smallest possible +integer). This also affects assignments:: + + arr[0] = np.float64(np.nan) + +At this time, NumPy retains the behaviour for:: + + np.array(np.float64(np.nan), dtype=np.int64) + +The above changes do not affect Python scalars:: + + np.array([float("NaN")], dtype=np.int64) + +remains unaffected (``np.nan`` is a Python ``float``, not a NumPy one). +Unlike signed integers, unsigned integers do not retain this special case, +since they always behaved more like casting. +The following code stops raising an error:: + + np.array([np.float64(np.nan)], dtype=np.uint64) + +To avoid backward compatibility issues, at this time assignment from +``datetime64`` scalar to strings of too short length remains supported. +This means that ``np.asarray(np.datetime64("2020-10-10"), dtype="S5")`` +succeeds now, when it failed before. In the long term this may be +deprecated or the unsafe cast may be allowed generally to make assignment +of arrays and scalars behave consistently. + + +Array coercion changes when Strings and other types are mixed +------------------------------------------------------------- + +When strings and other types are mixed, such as:: + + np.array(["string", np.float64(3.)], dtype="S") + +The results will change, which may lead to string dtypes with longer strings +in some cases. In particularly, if ``dtype="S"`` is not provided any numerical +value will lead to a string results long enough to hold all possible numerical +values. (e.g. "S32" for floats). Note that you should always provide +``dtype="S"`` when converting non-strings to strings. + +If ``dtype="S"`` is provided the results will be largely identical to before, +but NumPy scalars (not a Python float like ``1.0``), will still enforce +a uniform string length:: + + np.array([np.float64(3.)], dtype="S") # gives "S32" + np.array([3.0], dtype="S") # gives "S3" + +Previously the first version gave the same result as the second. + + +Array coercion restructure +-------------------------- + +Array coercion has been restructured. In general, this should not affect +users. In extremely rare corner cases where array-likes are nested:: + + np.array([array_like1]) + +Things will now be more consistent with:: + + np.array([np.array(array_like1)]) + +This could potentially subtly change output for badly defined array-likes. +We are not aware of any such case where the results were not clearly +incorrect previously. + +(`gh-16200 <https://github.com/numpy/numpy/pull/16200>`__) + +Writing to the result of `numpy.broadcast_arrays` will export readonly buffers +------------------------------------------------------------------------------ + +In NumPy 1.17 `numpy.broadcast_arrays` started warning when the resulting array +was written to. This warning was skipped when the array was used through the +buffer interface (e.g. ``memoryview(arr)``). The same thing will now occur for the +two protocols ``__array_interface__``, and ``__array_struct__`` returning read-only +buffers instead of giving a warning. + +(`gh-16350 <https://github.com/numpy/numpy/pull/16350>`__) + +Numeric-style type names have been removed from type dictionaries +----------------------------------------------------------------- + +To stay in sync with the deprecation for ``np.dtype("Complex64")`` +and other numeric-style (capital case) types. These were removed +from ``np.sctypeDict`` and ``np.typeDict``. You should use +the lower case versions instead. Note that ``"Complex64"`` +corresponds to ``"complex128"`` and ``"Complex32"`` corresponds +to ``"complex64"``. The numpy style (new) versions, denote the full +size and not the size of the real/imaginary part. + +(`gh-16554 <https://github.com/numpy/numpy/pull/16554>`__) + +The ``operator.concat`` function now raises TypeError for array arguments +------------------------------------------------------------------------- +The previous behavior was to fall back to addition and add the two arrays, +which was thought to be unexpected behavior for a concatenation function. + +(`gh-16570 <https://github.com/numpy/numpy/pull/16570>`__) + +``nickname`` attribute removed from ABCPolyBase +----------------------------------------------- + +An abstract property ``nickname`` has been removed from ``ABCPolyBase`` as it +was no longer used in the derived convenience classes. +This may affect users who have derived classes from ``ABCPolyBase`` and +overridden the methods for representation and display, e.g. ``__str__``, +``__repr__``, ``_repr_latex``, etc. + +(`gh-16589 <https://github.com/numpy/numpy/pull/16589>`__) + +``float->timedelta`` and ``uint64->timedelta`` promotion will raise a TypeError +------------------------------------------------------------------------------- +Float and timedelta promotion consistently raises a TypeError. +``np.promote_types("float32", "m8")`` aligns with +``np.promote_types("m8", "float32")`` now and both raise a TypeError. +Previously, ``np.promote_types("float32", "m8")`` returned ``"m8"`` which +was considered a bug. + +Uint64 and timedelta promotion consistently raises a TypeError. +``np.promote_types("uint64", "m8")`` aligns with +``np.promote_types("m8", "uint64")`` now and both raise a TypeError. +Previously, ``np.promote_types("uint64", "m8")`` returned ``"m8"`` which +was considered a bug. + +(`gh-16592 <https://github.com/numpy/numpy/pull/16592>`__) + +``numpy.genfromtxt`` now correctly unpacks structured arrays +------------------------------------------------------------ +Previously, `numpy.genfromtxt` failed to unpack if it was called with +``unpack=True`` and a structured datatype was passed to the ``dtype`` argument +(or ``dtype=None`` was passed and a structured datatype was inferred). +For example:: + + >>> data = StringIO("21 58.0\n35 72.0") + >>> np.genfromtxt(data, dtype=None, unpack=True) + array([(21, 58.), (35, 72.)], dtype=[('f0', '<i8'), ('f1', '<f8')]) + +Structured arrays will now correctly unpack into a list of arrays, +one for each column:: + + >>> np.genfromtxt(data, dtype=None, unpack=True) + [array([21, 35]), array([58., 72.])] + +(`gh-16650 <https://github.com/numpy/numpy/pull/16650>`__) + +``mgrid``, ``r_``, etc. consistently return correct outputs for non-default precision input +------------------------------------------------------------------------------------------- +Previously, ``np.mgrid[np.float32(0.1):np.float32(0.35):np.float32(0.1),]`` +and ``np.r_[0:10:np.complex64(3j)]`` failed to return meaningful output. +This bug potentially affects `~numpy.mgrid`, `~numpy.ogrid`, `~numpy.r_`, +and `~numpy.c_` when an input with dtype other than the default +``float64`` and ``complex128`` and equivalent Python types were used. +The methods have been fixed to handle varying precision correctly. + +(`gh-16815 <https://github.com/numpy/numpy/pull/16815>`__) + +Boolean array indices with mismatching shapes now properly give ``IndexError`` +------------------------------------------------------------------------------ + +Previously, if a boolean array index matched the size of the indexed array but +not the shape, it was incorrectly allowed in some cases. In other cases, it +gave an error, but the error was incorrectly a ``ValueError`` with a message +about broadcasting instead of the correct ``IndexError``. + +For example, the following used to incorrectly give ``ValueError: operands +could not be broadcast together with shapes (2,2) (1,4)``: + +.. code:: python + + np.empty((2, 2))[np.array([[True, False, False, False]])] + +And the following used to incorrectly return ``array([], dtype=float64)``: + +.. code:: python + + np.empty((2, 2))[np.array([[False, False, False, False]])] + +Both now correctly give ``IndexError: boolean index did not match indexed +array along dimension 0; dimension is 2 but corresponding boolean dimension is +1``. + +(`gh-17010 <https://github.com/numpy/numpy/pull/17010>`__) + +Casting errors interrupt Iteration +---------------------------------- +When iterating while casting values, an error may stop the iteration +earlier than before. In any case, a failed casting operation always +returned undefined, partial results. Those may now be even more +undefined and partial. +For users of the ``NpyIter`` C-API such cast errors will now +cause the `iternext()` function to return 0 and thus abort +iteration. +Currently, there is no API to detect such an error directly. +It is necessary to check ``PyErr_Occurred()``, which +may be problematic in combination with ``NpyIter_Reset``. +These issues always existed, but new API could be added +if required by users. + +(`gh-17029 <https://github.com/numpy/numpy/pull/17029>`__) + +f2py generated code may return unicode instead of byte strings +-------------------------------------------------------------- +Some byte strings previously returned by f2py generated code may now be unicode +strings. This results from the ongoing Python2 -> Python3 cleanup. + +(`gh-17068 <https://github.com/numpy/numpy/pull/17068>`__) + +The first element of the ``__array_interface__["data"]`` tuple must be an integer +---------------------------------------------------------------------------------- +This has been the documented interface for many years, but there was still +code that would accept a byte string representation of the pointer address. +That code has been removed, passing the address as a byte string will now +raise an error. + +(`gh-17241 <https://github.com/numpy/numpy/pull/17241>`__) + +poly1d respects the dtype of all-zero argument +---------------------------------------------- +Previously, constructing an instance of ``poly1d`` with all-zero +coefficients would cast the coefficients to ``np.float64``. +This affected the output dtype of methods which construct +``poly1d`` instances internally, such as ``np.polymul``. + +(`gh-17577 <https://github.com/numpy/numpy/pull/17577>`__) + +The numpy.i file for swig is Python 3 only. +------------------------------------------- +Uses of Python 2.7 C-API functions have been updated to Python 3 only. Users +who need the old version should take it from an older version of NumPy. + +(`gh-17580 <https://github.com/numpy/numpy/pull/17580>`__) + +Void dtype discovery in ``np.array`` +------------------------------------ +In calls using ``np.array(..., dtype="V")``, ``arr.astype("V")``, +and similar a TypeError will now be correctly raised unless all +elements have the identical void length. An example for this is:: + + np.array([b"1", b"12"], dtype="V") + +Which previously returned an array with dtype ``"V2"`` which +cannot represent ``b"1"`` faithfully. + +(`gh-17706 <https://github.com/numpy/numpy/pull/17706>`__) + + +C API changes +============= + +Size of ``np.ndarray`` and ``np.void_`` changed +----------------------------------------------- +The size of the ``PyArrayObject`` and ``PyVoidScalarObject`` +structures have changed. The following header definition has been +removed:: + + #define NPY_SIZEOF_PYARRAYOBJECT (sizeof(PyArrayObject_fields)) + +since the size must not be considered a compile time constant: it will +change for different runtime versions of NumPy. + +The most likely relevant use are potential subclasses written in C which +will have to be recompiled and should be updated. Please see the +documentation for :c:type:`PyArrayObject` for more details and contact +the NumPy developers if you are affected by this change. + +NumPy will attempt to give a graceful error but a program expecting a +fixed structure size may have undefined behaviour and likely crash. + +(`gh-16938 <https://github.com/numpy/numpy/pull/16938>`__) + + +New Features +============ + +``where`` keyword argument for ``numpy.all`` and ``numpy.any`` functions +------------------------------------------------------------------------ +The keyword argument ``where`` is added and allows to only consider specified +elements or subaxes from an array in the Boolean evaluation of ``all`` and +``any``. This new keyword is available to the functions ``all`` and ``any`` +both via ``numpy`` directly or in the methods of ``numpy.ndarray``. + +Any broadcastable Boolean array or a scalar can be set as ``where``. It +defaults to ``True`` to evaluate the functions for all elements in an array if +``where`` is not set by the user. Examples are given in the documentation of +the functions. + + +``where`` keyword argument for ``numpy`` functions ``mean``, ``std``, ``var`` +----------------------------------------------------------------------------- +The keyword argument ``where`` is added and allows to limit the scope in the +calculation of ``mean``, ``std`` and ``var`` to only a subset of elements. It +is available both via ``numpy`` directly or in the methods of +``numpy.ndarray``. + +Any broadcastable Boolean array or a scalar can be set as ``where``. It +defaults to ``True`` to evaluate the functions for all elements in an array if +``where`` is not set by the user. Examples are given in the documentation of +the functions. + +(`gh-15852 <https://github.com/numpy/numpy/pull/15852>`__) + +``norm=backward``, ``forward`` keyword options for ``numpy.fft`` functions +-------------------------------------------------------------------------- +The keyword argument option ``norm=backward`` is added as an alias for ``None`` +and acts as the default option; using it has the direct transforms unscaled +and the inverse transforms scaled by ``1/n``. + +Using the new keyword argument option ``norm=forward`` has the direct +transforms scaled by ``1/n`` and the inverse transforms unscaled (i.e. exactly +opposite to the default option ``norm=backward``). + +(`gh-16476 <https://github.com/numpy/numpy/pull/16476>`__) + +NumPy is now typed +------------------ +Type annotations have been added for large parts of NumPy. There is +also a new `numpy.typing` module that contains useful types for +end-users. The currently available types are + +- ``ArrayLike``: for objects that can be coerced to an array +- ``DtypeLike``: for objects that can be coerced to a dtype + +(`gh-16515 <https://github.com/numpy/numpy/pull/16515>`__) + +``numpy.typing`` is accessible at runtime +----------------------------------------- +The types in ``numpy.typing`` can now be imported at runtime. Code +like the following will now work: + +.. code:: python + + from numpy.typing import ArrayLike + x: ArrayLike = [1, 2, 3, 4] + +(`gh-16558 <https://github.com/numpy/numpy/pull/16558>`__) + +New ``__f2py_numpy_version__`` attribute for f2py generated modules. +-------------------------------------------------------------------- +Because f2py is released together with NumPy, ``__f2py_numpy_version__`` +provides a way to track the version f2py used to generate the module. + +(`gh-16594 <https://github.com/numpy/numpy/pull/16594>`__) + +``mypy`` tests can be run via runtests.py +----------------------------------------- +Currently running mypy with the NumPy stubs configured requires +either: + +* Installing NumPy +* Adding the source directory to MYPYPATH and linking to the ``mypy.ini`` + +Both options are somewhat inconvenient, so add a ``--mypy`` option to runtests +that handles setting things up for you. This will also be useful in the future +for any typing codegen since it will ensure the project is built before type +checking. + +(`gh-17123 <https://github.com/numpy/numpy/pull/17123>`__) + +Negation of user defined BLAS/LAPACK detection order +---------------------------------------------------- +`~numpy.distutils` allows negation of libraries when determining BLAS/LAPACK +libraries. +This may be used to remove an item from the library resolution phase, i.e. +to disallow NetLIB libraries one could do: + +.. code:: bash + + NPY_BLAS_ORDER='^blas' NPY_LAPACK_ORDER='^lapack' python setup.py build + +That will use any of the accelerated libraries instead. + +(`gh-17219 <https://github.com/numpy/numpy/pull/17219>`__) + +Allow passing optimizations arguments to asv build +-------------------------------------------------- +It is now possible to pass ``-j``, ``--cpu-baseline``, ``--cpu-dispatch`` and +``--disable-optimization`` flags to ASV build when the ``--bench-compare`` +argument is used. + +(`gh-17284 <https://github.com/numpy/numpy/pull/17284>`__) + +The NVIDIA HPC SDK nvfortran compiler is now supported +------------------------------------------------------ +Support for the nvfortran compiler, a version of pgfortran, has been added. + +(`gh-17344 <https://github.com/numpy/numpy/pull/17344>`__) + +``dtype`` option for ``cov`` and ``corrcoef`` +--------------------------------------------- +The ``dtype`` option is now available for `numpy.cov` and `numpy.corrcoef`. +It specifies which data-type the returned result should have. +By default the functions still return a `numpy.float64` result. + +(`gh-17456 <https://github.com/numpy/numpy/pull/17456>`__) + + +Improvements +============ + +Improved string representation for polynomials (``__str__``) +------------------------------------------------------------ + +The string representation (``__str__``) of all six polynomial types in +`numpy.polynomial` has been updated to give the polynomial as a mathematical +expression instead of an array of coefficients. Two package-wide formats for +the polynomial expressions are available - one using Unicode characters for +superscripts and subscripts, and another using only ASCII characters. + +(`gh-15666 <https://github.com/numpy/numpy/pull/15666>`__) + +Remove the Accelerate library as a candidate LAPACK library +----------------------------------------------------------- +Apple no longer supports Accelerate. Remove it. + +(`gh-15759 <https://github.com/numpy/numpy/pull/15759>`__) + +Object arrays containing multi-line objects have a more readable ``repr`` +------------------------------------------------------------------------- +If elements of an object array have a ``repr`` containing new lines, then the +wrapped lines will be aligned by column. Notably, this improves the ``repr`` of +nested arrays:: + + >>> np.array([np.eye(2), np.eye(3)], dtype=object) + array([array([[1., 0.], + [0., 1.]]), + array([[1., 0., 0.], + [0., 1., 0.], + [0., 0., 1.]])], dtype=object) + +(`gh-15997 <https://github.com/numpy/numpy/pull/15997>`__) + +Concatenate supports providing an output dtype +---------------------------------------------- +Support was added to `~numpy.concatenate` to provide +an output ``dtype`` and ``casting`` using keyword +arguments. The ``dtype`` argument cannot be provided +in conjunction with the ``out`` one. + +(`gh-16134 <https://github.com/numpy/numpy/pull/16134>`__) + +Thread safe f2py callback functions +----------------------------------- + +Callback functions in f2py are now thread safe. + +(`gh-16519 <https://github.com/numpy/numpy/pull/16519>`__) + +`numpy.core.records.fromfile` now supports file-like objects +------------------------------------------------------------ +`numpy.rec.fromfile` can now use file-like objects, for instance +:py:class:`io.BytesIO` + +(`gh-16675 <https://github.com/numpy/numpy/pull/16675>`__) + +RPATH support on AIX added to distutils +--------------------------------------- +This allows SciPy to be built on AIX. + +(`gh-16710 <https://github.com/numpy/numpy/pull/16710>`__) + +Use f90 compiler specified by the command line args +--------------------------------------------------- + +The compiler command selection for Fortran Portland Group Compiler is changed +in `numpy.distutils.fcompiler`. This only affects the linking command. This +forces the use of the executable provided by the command line option (if +provided) instead of the pgfortran executable. If no executable is provided to +the command line option it defaults to the pgf90 executable, wich is an alias +for pgfortran according to the PGI documentation. + +(`gh-16730 <https://github.com/numpy/numpy/pull/16730>`__) + +Add NumPy declarations for Cython 3.0 and later +----------------------------------------------- + +The pxd declarations for Cython 3.0 were improved to avoid using deprecated +NumPy C-API features. Extension modules built with Cython 3.0+ that use NumPy +can now set the C macro ``NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION`` to avoid +C compiler warnings about deprecated API usage. + +(`gh-16986 <https://github.com/numpy/numpy/pull/16986>`__) + +Make the window functions exactly symmetric +------------------------------------------- +Make sure the window functions provided by NumPy are symmetric. There were +previously small deviations from symmetry due to numerical precision that are +now avoided by better arrangement of the computation. + +(`gh-17195 <https://github.com/numpy/numpy/pull/17195>`__) + + +Performance improvements and changes +==================================== + +Enable multi-platform SIMD compiler optimizations +------------------------------------------------- + +A series of improvements for NumPy infrastructure to pave the way to +**NEP-38**, that can be summarized as follow: + +- **New Build Arguments** + + - ``--cpu-baseline`` to specify the minimal set of required + optimizations, default value is ``min`` which provides the minimum + CPU features that can safely run on a wide range of users + platforms. + + - ``--cpu-dispatch`` to specify the dispatched set of additional + optimizations, default value is ``max -xop -fma4`` which enables + all CPU features, except for AMD legacy features. + + - ``--disable-optimization`` to explicitly disable the whole new + improvements, It also adds a new **C** compiler #definition + called ``NPY_DISABLE_OPTIMIZATION`` which it can be used as + guard for any SIMD code. + +- **Advanced CPU dispatcher** + + A flexible cross-architecture CPU dispatcher built on the top of + Python/Numpy distutils, support all common compilers with a wide range of + CPU features. + + The new dispatcher requires a special file extension ``*.dispatch.c`` to + mark the dispatch-able **C** sources. These sources have the ability to be + compiled multiple times so that each compilation process represents certain + CPU features and provides different #definitions and flags that affect the + code paths. + +- **New auto-generated C header ``core/src/common/_cpu_dispatch.h``** + + This header is generated by the distutils module ``ccompiler_opt``, and + contains all the #definitions and headers of instruction sets, that had been + configured through command arguments '--cpu-baseline' and '--cpu-dispatch'. + +- **New C header ``core/src/common/npy_cpu_dispatch.h``** + + This header contains all utilities that required for the whole CPU + dispatching process, it also can be considered as a bridge linking the new + infrastructure work with NumPy CPU runtime detection. + +- **Add new attributes to NumPy umath module(Python level)** + + - ``__cpu_baseline__`` a list contains the minimal set of required + optimizations that supported by the compiler and platform according to the + specified values to command argument '--cpu-baseline'. + + - ``__cpu_dispatch__`` a list contains the dispatched set of additional + optimizations that supported by the compiler and platform according to the + specified values to command argument '--cpu-dispatch'. + +- **Print the supported CPU features during the run of PytestTester** + +(`gh-13516 <https://github.com/numpy/numpy/pull/13516>`__) + + +Changes +======= + +Changed behavior of ``divmod(1., 0.)`` and related functions +------------------------------------------------------------ +The changes also assure that different compiler versions have the same behavior +for nan or inf usages in these operations. This was previously compiler +dependent, we now force the invalid and divide by zero flags, making the +results the same across compilers. For example, gcc-5, gcc-8, or gcc-9 now +result in the same behavior. The changes are tabulated below: + +.. list-table:: Summary of New Behavior + :widths: auto + :header-rows: 1 + + * - Operator + - Old Warning + - New Warning + - Old Result + - New Result + - Works on MacOS + * - np.divmod(1.0, 0.0) + - Invalid + - Invalid and Dividebyzero + - nan, nan + - inf, nan + - Yes + * - np.fmod(1.0, 0.0) + - Invalid + - Invalid + - nan + - nan + - No? Yes + * - np.floor_divide(1.0, 0.0) + - Invalid + - Dividebyzero + - nan + - inf + - Yes + * - np.remainder(1.0, 0.0) + - Invalid + - Invalid + - nan + - nan + - Yes + +(`gh-16161 <https://github.com/numpy/numpy/pull/16161>`__) + +``np.linspace`` on integers now uses floor +------------------------------------------ +When using a ``int`` dtype in `numpy.linspace`, previously float values would +be rounded towards zero. Now `numpy.floor` is used instead, which rounds toward +``-inf``. This changes the results for negative values. For example, the +following would previously give:: + + >>> np.linspace(-3, 1, 8, dtype=int) + array([-3, -2, -1, -1, 0, 0, 0, 1]) + +and now results in:: + + >>> np.linspace(-3, 1, 8, dtype=int) + array([-3, -3, -2, -2, -1, -1, 0, 1]) + +The former result can still be obtained with:: + + >>> np.linspace(-3, 1, 8).astype(int) + array([-3, -2, -1, -1, 0, 0, 0, 1]) + +(`gh-16841 <https://github.com/numpy/numpy/pull/16841>`__) + + |