ANN: SciPy 1.5.3

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ANN: SciPy 1.5.3

Tyler Reddy
Hi all,

On behalf of the SciPy development team I'm pleased to announce
the release of SciPy 1.5.3, which is a bug fix release that includes
Linux ARM64 wheels for the first time.

Sources and binary wheels can be found at:
https://pypi.org/project/scipy/ 

One of a few ways to install this release with pip:

pip install scipy==1.5.3

==========================
SciPy 1.5.3 Release Notes
==========================

SciPy 1.5.3 is a bug-fix release with no new features
compared to 1.5.2. In particular, Linux ARM64 wheels are now
available and a compatibility issue with XCode 12 has
been fixed.

Authors
======

* Peter Bell
* CJ Carey
* Thomas Duvernay +
* Gregory Lee
* Eric Moore
* odidev
* Dima Pasechnik
* Tyler Reddy
* Simon Segerblom Rex +
* Daniel B. Smith
* Will Tirone +
* Warren Weckesser

A total of 12 people contributed to this release.
People with a "+" by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.

Issues closed for 1.5.3
------------------------------

* `#9611 <https://github.com/scipy/scipy/issues/9611>`__: Overflow error with new way of p-value calculation in kendall...
* `#10069 <https://github.com/scipy/scipy/issues/10069>`__: scipy.ndimage.watershed_ift regression in 1.0.0
* `#11260 <https://github.com/scipy/scipy/issues/11260>`__: BUG: DOP853 with complex data computes complex error norm, causing...
* `#11479 <https://github.com/scipy/scipy/issues/11479>`__: RuntimeError: dictionary changed size during iteration on loading...
* `#11972 <https://github.com/scipy/scipy/issues/11972>`__: BUG (solved): Error estimation in DOP853 ODE solver fails for...
* `#12543 <https://github.com/scipy/scipy/issues/12543>`__: BUG: Picture rotated 180 degrees and rotated -180 degrees should...
* `#12613 <https://github.com/scipy/scipy/issues/12613>`__: Travis X.4 and X.7 failures in master
* `#12654 <https://github.com/scipy/scipy/issues/12654>`__: scipy.stats.combine_pvalues produces wrong results with method='mudholkar_george'
* `#12819 <https://github.com/scipy/scipy/issues/12819>`__: BUG: Scipy Sparse slice indexing assignment Bug with zeros
* `#12834 <https://github.com/scipy/scipy/issues/12834>`__: BUG: ValueError upon calling Scipy Interpolator objects
* `#12836 <https://github.com/scipy/scipy/issues/12836>`__: ndimage.median can return incorrect values for integer inputs
* `#12860 <https://github.com/scipy/scipy/issues/12860>`__: Build failure with Xcode 12

Pull requests for 1.5.3
-----------------------------

* `#12611 <https://github.com/scipy/scipy/pull/12611>`__: MAINT: prepare for SciPy 1.5.3
* `#12614 <https://github.com/scipy/scipy/pull/12614>`__: MAINT: prevent reverse broadcasting
* `#12617 <https://github.com/scipy/scipy/pull/12617>`__: MAINT: optimize: Handle nonscalar size 1 arrays in fmin_slsqp...
* `#12623 <https://github.com/scipy/scipy/pull/12623>`__: MAINT: stats: Loosen some test tolerances.
* `#12638 <https://github.com/scipy/scipy/pull/12638>`__: CI, MAINT: pin pytest for Azure win
* `#12668 <https://github.com/scipy/scipy/pull/12668>`__: BUG: Ensure factorial is not too large in mstats.kendalltau
* `#12705 <https://github.com/scipy/scipy/pull/12705>`__: MAINT: \`openblas_support\` added sha256 hash
* `#12706 <https://github.com/scipy/scipy/pull/12706>`__: BUG: fix incorrect 1d case of the fourier_ellipsoid filter
* `#12721 <https://github.com/scipy/scipy/pull/12721>`__: BUG: use special.sindg in ndimage.rotate
* `#12724 <https://github.com/scipy/scipy/pull/12724>`__: BUG: per #12654 adjusted mudholkar_george method to combine p...
* `#12726 <https://github.com/scipy/scipy/pull/12726>`__: BUG: Fix DOP853 error norm for complex problems
* `#12730 <https://github.com/scipy/scipy/pull/12730>`__: CI: pin xdist for Azure windows
* `#12786 <https://github.com/scipy/scipy/pull/12786>`__: BUG: stats: Fix formula in the \`stats\` method of the ARGUS...
* `#12795 <https://github.com/scipy/scipy/pull/12795>`__: CI: Pin setuptools on windows CI
* `#12830 <https://github.com/scipy/scipy/pull/12830>`__: [BUG] sparse: Avoid using size attribute in LIL __setitem__
* `#12833 <https://github.com/scipy/scipy/pull/12833>`__: BUG: change list of globals items to list of a copy
* `#12842 <https://github.com/scipy/scipy/pull/12842>`__: BUG: Use uint16 for cost in NI_WatershedElement
* `#12845 <https://github.com/scipy/scipy/pull/12845>`__: BUG: avoid boolean or integer addition error in ndimage.measurements.median
* `#12864 <https://github.com/scipy/scipy/pull/12864>`__: BLD: replace the #include of libqull_r.h with with this of qhull_ra.h...
* `#12867 <https://github.com/scipy/scipy/pull/12867>`__: BUG: Fixes a ValueError yielded upon calling Scipy Interpolator...
* `#12902 <https://github.com/scipy/scipy/pull/12902>`__: CI: Remove 'env' from pytest.ini
* `#12913 <https://github.com/scipy/scipy/pull/12913>`__: MAINT: Ignore pytest's PytestConfigWarning


Checksums
=========

MD5
~~~

fd75941594b22a322f63a27d53c1bdda  scipy-1.5.3-cp36-cp36m-macosx_10_9_x86_64.whl
85d547117ae6d9fd447120c1768ff2d0  scipy-1.5.3-cp36-cp36m-manylinux1_i686.whl
8e8ca0d9123c4f4bf59f74ec474fc936  scipy-1.5.3-cp36-cp36m-manylinux1_x86_64.whl
855db93424cf97e5b4685c4cf74be346  scipy-1.5.3-cp36-cp36m-manylinux2014_aarch64.whl
20405ee4157858d33e38c62b873b6420  scipy-1.5.3-cp36-cp36m-win32.whl
be3f3ba1018e7b1f3a30738aa502a4b5  scipy-1.5.3-cp36-cp36m-win_amd64.whl
12be163517b748a025cd399e6e9ce7df  scipy-1.5.3-cp37-cp37m-macosx_10_9_x86_64.whl
b2d761876d1f1d27e289b08f44034ede  scipy-1.5.3-cp37-cp37m-manylinux1_i686.whl
1cd15a513ad76c64a4353a63eee6b3a8  scipy-1.5.3-cp37-cp37m-manylinux1_x86_64.whl
00bb4f63f4ee40869193c8e639da3274  scipy-1.5.3-cp37-cp37m-manylinux2014_aarch64.whl
f783a76397dfe2a73752ac86f32fa474  scipy-1.5.3-cp37-cp37m-win32.whl
3c2927e6adf9b522f7f1745308b4d1f2  scipy-1.5.3-cp37-cp37m-win_amd64.whl
faaa0cab95b6f352508120b8f628aaae  scipy-1.5.3-cp38-cp38-macosx_10_9_x86_64.whl
77e8cb222c1868f01f048a444ef49260  scipy-1.5.3-cp38-cp38-manylinux1_i686.whl
a2a035b15f78106090b9550f1383b40f  scipy-1.5.3-cp38-cp38-manylinux1_x86_64.whl
86d52a963596a4cf6e1930ac5cf79a03  scipy-1.5.3-cp38-cp38-manylinux2014_aarch64.whl
8dd29aceb8dae5b5cc4f8100d8b35423  scipy-1.5.3-cp38-cp38-win32.whl
14f617e43a37827a29e8ee9ad97eda4b  scipy-1.5.3-cp38-cp38-win_amd64.whl
ecf5c58e4df1d257abf1634d51cb9205  scipy-1.5.3.tar.gz
61bcc473115587a66acfb42d3021479b  scipy-1.5.3.tar.xz
a9c549f19c661ab1b44e5b2cc707d4c1  scipy-1.5.3.zip

SHA256
~~~~~~

f574558f1b774864516f3c3fe072ebc90a29186f49b720f60ed339294b7f32ac  scipy-1.5.3-cp36-cp36m-macosx_10_9_x86_64.whl
e527c9221b6494bcd06a17f9f16874406b32121385f9ab353b8a9545be458f0b  scipy-1.5.3-cp36-cp36m-manylinux1_i686.whl
b9751b39c52a3fa59312bd2e1f40144ee26b51404db5d2f0d5259c511ff6f614  scipy-1.5.3-cp36-cp36m-manylinux1_x86_64.whl
d5e3cc60868f396b78fc881d2c76460febccfe90f6d2f082b9952265c79a8788  scipy-1.5.3-cp36-cp36m-manylinux2014_aarch64.whl
1fee28b6641ecbff6e80fe7788e50f50c5576157d278fa40f36c851940eb0aff  scipy-1.5.3-cp36-cp36m-win32.whl
ffcbd331f1ffa82e22f1d408e93c37463c9a83088243158635baec61983aaacf  scipy-1.5.3-cp36-cp36m-win_amd64.whl
07b083128beae040f1129bd8a82b01804f5e716a7fd2962c1053fa683433e4ab  scipy-1.5.3-cp37-cp37m-macosx_10_9_x86_64.whl
e2602f79c85924e4486f684aa9bbab74afff90606100db88d0785a0088be7edb  scipy-1.5.3-cp37-cp37m-manylinux1_i686.whl
aebb69bcdec209d874fc4b0c7ac36f509d50418a431c1422465fa34c2c0143ea  scipy-1.5.3-cp37-cp37m-manylinux1_x86_64.whl
bc0e63daf43bf052aefbbd6c5424bc03f629d115ece828e87303a0bcc04a37e4  scipy-1.5.3-cp37-cp37m-manylinux2014_aarch64.whl
8cc5c39ed287a8b52a5509cd6680af078a40b0e010e2657eca01ffbfec929468  scipy-1.5.3-cp37-cp37m-win32.whl
0edd67e8a00903aaf7a29c968555a2e27c5a69fea9d1dcfffda80614281a884f  scipy-1.5.3-cp37-cp37m-win_amd64.whl
66ec29348444ed6e8a14c9adc2de65e74a8fc526dc2c770741725464488ede1f  scipy-1.5.3-cp38-cp38-macosx_10_9_x86_64.whl
12fdcbfa56cac926a0a9364a30cbf4ad03c2c7b59f75b14234656a5e4fd52bf3  scipy-1.5.3-cp38-cp38-manylinux1_i686.whl
a1a13858b10d41beb0413c4378462b43eafef88a1948d286cb357eadc0aec024  scipy-1.5.3-cp38-cp38-manylinux1_x86_64.whl
5163200ab14fd2b83aba8f0c4ddcc1fa982a43192867264ab0f4c8065fd10d17  scipy-1.5.3-cp38-cp38-manylinux2014_aarch64.whl
33e6a7439f43f37d4c1135bc95bcd490ffeac6ef4b374892c7005ce2c729cf4a  scipy-1.5.3-cp38-cp38-win32.whl
a3db1fe7c6cb29ca02b14c9141151ebafd11e06ffb6da8ecd330eee5c8283a8a  scipy-1.5.3-cp38-cp38-win_amd64.whl
ddae76784574cc4c172f3d5edd7308be16078dd3b977e8746860c76c195fa707  scipy-1.5.3.tar.gz
cab92f8dab54a3be66525ea23e4f6568145abd1e94681cce19258a140f4de416  scipy-1.5.3.tar.xz
32dd070e203363e3a63bc184afb1d8e165c0a36a49b83b097642f78ef4da6077  scipy-1.5.3.zip




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Re: [SciPy-Dev] ANN: SciPy 1.5.3

Warren Weckesser-2
On 10/17/20, Tyler Reddy <[hidden email]> wrote:
> Hi all,
>
> On behalf of the SciPy development team I'm pleased to announce
> the release of SciPy 1.5.3, which is a bug fix release that includes
> Linux ARM64 wheels for the first time.


Thanks Tyler!  A lot of work goes into a SciPy release, so I'm
grateful you continue to manage the releases so well.

Warren


>
> Sources and binary wheels can be found at:
> https://pypi.org/project/scipy/
> and at: https://github.com/scipy/scipy/releases/tag/v1.5.3
>
> One of a few ways to install this release with pip:
>
> pip install scipy==1.5.3
>
> ==========================
> SciPy 1.5.3 Release Notes
> ==========================
>
> SciPy 1.5.3 is a bug-fix release with no new features
> compared to 1.5.2. In particular, Linux ARM64 wheels are now
> available and a compatibility issue with XCode 12 has
> been fixed.
>
> Authors
> ======
>
> * Peter Bell
> * CJ Carey
> * Thomas Duvernay +
> * Gregory Lee
> * Eric Moore
> * odidev
> * Dima Pasechnik
> * Tyler Reddy
> * Simon Segerblom Rex +
> * Daniel B. Smith
> * Will Tirone +
> * Warren Weckesser
>
> A total of 12 people contributed to this release.
> People with a "+" by their names contributed a patch for the first time.
> This list of names is automatically generated, and may not be fully
> complete.
>
> Issues closed for 1.5.3
> ------------------------------
>
> * `#9611 <https://github.com/scipy/scipy/issues/9611>`__: Overflow error
> with new way of p-value calculation in kendall...
> * `#10069 <https://github.com/scipy/scipy/issues/10069>`__:
> scipy.ndimage.watershed_ift regression in 1.0.0
> * `#11260 <https://github.com/scipy/scipy/issues/11260>`__: BUG: DOP853
> with complex data computes complex error norm, causing...
> * `#11479 <https://github.com/scipy/scipy/issues/11479>`__: RuntimeError:
> dictionary changed size during iteration on loading...
> * `#11972 <https://github.com/scipy/scipy/issues/11972>`__: BUG (solved):
> Error estimation in DOP853 ODE solver fails for...
> * `#12543 <https://github.com/scipy/scipy/issues/12543>`__: BUG: Picture
> rotated 180 degrees and rotated -180 degrees should...
> * `#12613 <https://github.com/scipy/scipy/issues/12613>`__: Travis X.4 and
> X.7 failures in master
> * `#12654 <https://github.com/scipy/scipy/issues/12654>`__:
> scipy.stats.combine_pvalues produces wrong results with
> method='mudholkar_george'
> * `#12819 <https://github.com/scipy/scipy/issues/12819>`__: BUG: Scipy
> Sparse slice indexing assignment Bug with zeros
> * `#12834 <https://github.com/scipy/scipy/issues/12834>`__: BUG: ValueError
> upon calling Scipy Interpolator objects
> * `#12836 <https://github.com/scipy/scipy/issues/12836>`__: ndimage.median
> can return incorrect values for integer inputs
> * `#12860 <https://github.com/scipy/scipy/issues/12860>`__: Build failure
> with Xcode 12
>
> Pull requests for 1.5.3
> -----------------------------
>
> * `#12611 <https://github.com/scipy/scipy/pull/12611>`__: MAINT: prepare
> for SciPy 1.5.3
> * `#12614 <https://github.com/scipy/scipy/pull/12614>`__: MAINT: prevent
> reverse broadcasting
> * `#12617 <https://github.com/scipy/scipy/pull/12617>`__: MAINT: optimize:
> Handle nonscalar size 1 arrays in fmin_slsqp...
> * `#12623 <https://github.com/scipy/scipy/pull/12623>`__: MAINT: stats:
> Loosen some test tolerances.
> * `#12638 <https://github.com/scipy/scipy/pull/12638>`__: CI, MAINT: pin
> pytest for Azure win
> * `#12668 <https://github.com/scipy/scipy/pull/12668>`__: BUG: Ensure
> factorial is not too large in mstats.kendalltau
> * `#12705 <https://github.com/scipy/scipy/pull/12705>`__: MAINT:
> \`openblas_support\` added sha256 hash
> * `#12706 <https://github.com/scipy/scipy/pull/12706>`__: BUG: fix
> incorrect 1d case of the fourier_ellipsoid filter
> * `#12721 <https://github.com/scipy/scipy/pull/12721>`__: BUG: use
> special.sindg in ndimage.rotate
> * `#12724 <https://github.com/scipy/scipy/pull/12724>`__: BUG: per #12654
> adjusted mudholkar_george method to combine p...
> * `#12726 <https://github.com/scipy/scipy/pull/12726>`__: BUG: Fix DOP853
> error norm for complex problems
> * `#12730 <https://github.com/scipy/scipy/pull/12730>`__: CI: pin xdist for
> Azure windows
> * `#12786 <https://github.com/scipy/scipy/pull/12786>`__: BUG: stats: Fix
> formula in the \`stats\` method of the ARGUS...
> * `#12795 <https://github.com/scipy/scipy/pull/12795>`__: CI: Pin
> setuptools on windows CI
> * `#12830 <https://github.com/scipy/scipy/pull/12830>`__: [BUG] sparse:
> Avoid using size attribute in LIL __setitem__
> * `#12833 <https://github.com/scipy/scipy/pull/12833>`__: BUG: change list
> of globals items to list of a copy
> * `#12842 <https://github.com/scipy/scipy/pull/12842>`__: BUG: Use uint16
> for cost in NI_WatershedElement
> * `#12845 <https://github.com/scipy/scipy/pull/12845>`__: BUG: avoid
> boolean or integer addition error in ndimage.measurements.median
> * `#12864 <https://github.com/scipy/scipy/pull/12864>`__: BLD: replace the
> #include of libqull_r.h with with this of qhull_ra.h...
> * `#12867 <https://github.com/scipy/scipy/pull/12867>`__: BUG: Fixes a
> ValueError yielded upon calling Scipy Interpolator...
> * `#12902 <https://github.com/scipy/scipy/pull/12902>`__: CI: Remove 'env'
> from pytest.ini
> * `#12913 <https://github.com/scipy/scipy/pull/12913>`__: MAINT: Ignore
> pytest's PytestConfigWarning
>
>
> Checksums
> =========
>
> MD5
> ~~~
>
> fd75941594b22a322f63a27d53c1bdda
>  scipy-1.5.3-cp36-cp36m-macosx_10_9_x86_64.whl
> 85d547117ae6d9fd447120c1768ff2d0
> scipy-1.5.3-cp36-cp36m-manylinux1_i686.whl
> 8e8ca0d9123c4f4bf59f74ec474fc936
>  scipy-1.5.3-cp36-cp36m-manylinux1_x86_64.whl
> 855db93424cf97e5b4685c4cf74be346
>  scipy-1.5.3-cp36-cp36m-manylinux2014_aarch64.whl
> 20405ee4157858d33e38c62b873b6420  scipy-1.5.3-cp36-cp36m-win32.whl
> be3f3ba1018e7b1f3a30738aa502a4b5  scipy-1.5.3-cp36-cp36m-win_amd64.whl
> 12be163517b748a025cd399e6e9ce7df
>  scipy-1.5.3-cp37-cp37m-macosx_10_9_x86_64.whl
> b2d761876d1f1d27e289b08f44034ede
> scipy-1.5.3-cp37-cp37m-manylinux1_i686.whl
> 1cd15a513ad76c64a4353a63eee6b3a8
>  scipy-1.5.3-cp37-cp37m-manylinux1_x86_64.whl
> 00bb4f63f4ee40869193c8e639da3274
>  scipy-1.5.3-cp37-cp37m-manylinux2014_aarch64.whl
> f783a76397dfe2a73752ac86f32fa474  scipy-1.5.3-cp37-cp37m-win32.whl
> 3c2927e6adf9b522f7f1745308b4d1f2  scipy-1.5.3-cp37-cp37m-win_amd64.whl
> faaa0cab95b6f352508120b8f628aaae
>  scipy-1.5.3-cp38-cp38-macosx_10_9_x86_64.whl
> 77e8cb222c1868f01f048a444ef49260  scipy-1.5.3-cp38-cp38-manylinux1_i686.whl
> a2a035b15f78106090b9550f1383b40f
>  scipy-1.5.3-cp38-cp38-manylinux1_x86_64.whl
> 86d52a963596a4cf6e1930ac5cf79a03
>  scipy-1.5.3-cp38-cp38-manylinux2014_aarch64.whl
> 8dd29aceb8dae5b5cc4f8100d8b35423  scipy-1.5.3-cp38-cp38-win32.whl
> 14f617e43a37827a29e8ee9ad97eda4b  scipy-1.5.3-cp38-cp38-win_amd64.whl
> ecf5c58e4df1d257abf1634d51cb9205  scipy-1.5.3.tar.gz
> 61bcc473115587a66acfb42d3021479b  scipy-1.5.3.tar.xz
> a9c549f19c661ab1b44e5b2cc707d4c1  scipy-1.5.3.zip
>
> SHA256
> ~~~~~~
>
> f574558f1b774864516f3c3fe072ebc90a29186f49b720f60ed339294b7f32ac
>  scipy-1.5.3-cp36-cp36m-macosx_10_9_x86_64.whl
> e527c9221b6494bcd06a17f9f16874406b32121385f9ab353b8a9545be458f0b
>  scipy-1.5.3-cp36-cp36m-manylinux1_i686.whl
> b9751b39c52a3fa59312bd2e1f40144ee26b51404db5d2f0d5259c511ff6f614
>  scipy-1.5.3-cp36-cp36m-manylinux1_x86_64.whl
> d5e3cc60868f396b78fc881d2c76460febccfe90f6d2f082b9952265c79a8788
>  scipy-1.5.3-cp36-cp36m-manylinux2014_aarch64.whl
> 1fee28b6641ecbff6e80fe7788e50f50c5576157d278fa40f36c851940eb0aff
>  scipy-1.5.3-cp36-cp36m-win32.whl
> ffcbd331f1ffa82e22f1d408e93c37463c9a83088243158635baec61983aaacf
>  scipy-1.5.3-cp36-cp36m-win_amd64.whl
> 07b083128beae040f1129bd8a82b01804f5e716a7fd2962c1053fa683433e4ab
>  scipy-1.5.3-cp37-cp37m-macosx_10_9_x86_64.whl
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>
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