[Numpy-discussion] ANN: SciPy 1.5.4

Tyler Reddy tyler.je.reddy at gmail.com
Wed Nov 4 22:25:24 EST 2020


Hi all,

On behalf of the SciPy development team I'm pleased to announce
the release of SciPy 1.5.4, which is a bug fix release that includes
Python 3.9 wheels and a more complete fix for build issues on XCode 12.

Sources and binary wheels can be found at:
https://pypi.org/project/scipy/
and at: https://github.com/scipy/scipy/releases/tag/v1.5.4

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

pip install scipy==1.5.4

=====================
SciPy 1.5.4 Release Notes
=====================

SciPy 1.5.4 is a bug-fix release with no new features
compared to 1.5.3. Importantly, wheels are now available
for Python 3.9 and a more complete fix has been applied for
issues building with XCode 12.

Authors
======

* Peter Bell
* CJ Carey
* Andrew McCluskey +
* Andrew Nelson
* Tyler Reddy
* Eli Rykoff +
* Ian Thomas +

A total of 7 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 1.5.4
-------------------------------

* `#12763 <https://github.com/scipy/scipy/issues/12763>`__:
ndimage.fourier_ellipsoid segmentation fault
* `#12789 <https://github.com/scipy/scipy/issues/12789>`__:
TestConvolve2d.test_large_array failing on Windows ILP64 CI job
* `#12857 <https://github.com/scipy/scipy/issues/12857>`__: sparse A[0,:] =
ndarray is ok, A[:,0] = ndarray ValueError from...
* `#12860 <https://github.com/scipy/scipy/issues/12860>`__: BUG: Build
failure with Xcode 12
* `#12935 <https://github.com/scipy/scipy/issues/12935>`__: Failure to
build with Python 3.9.0 on macOS
* `#12966 <https://github.com/scipy/scipy/issues/12966>`__: MAINT:
lint_diff.py on some backport PRs
* `#12988 <https://github.com/scipy/scipy/issues/12988>`__: BUG: Highly
multi-dimensional \`gaussian_kde\` giving \`-inf\`...

Pull requests for 1.5.4
------------------------------

* `#12790 <https://github.com/scipy/scipy/pull/12790>`__: TST: Skip
TestConvolve2d.test_large_array if not enough memory
* `#12851 <https://github.com/scipy/scipy/pull/12851>`__: BUG: sparse: fix
inner indexed assignment of a 1d array
* `#12875 <https://github.com/scipy/scipy/pull/12875>`__: BUG: segfault in
ndimage.fourier_ellipsoid with length-1 dims
* `#12937 <https://github.com/scipy/scipy/pull/12937>`__: CI: macOS3.9
testing
* `#12957 <https://github.com/scipy/scipy/pull/12957>`__: MAINT: fixes
XCode 12/ python 3.9.0 build for 1.5.x maint branch
* `#12959 <https://github.com/scipy/scipy/pull/12959>`__: CI: add Windows
Python 3.9 to CI
* `#12974 <https://github.com/scipy/scipy/pull/12974>`__: MAINT: Run
lint_diff.py against the merge target and only for...
* `#12978 <https://github.com/scipy/scipy/pull/12978>`__: DOC:
next_fast_len output doesn't match docstring
* `#12979 <https://github.com/scipy/scipy/pull/12979>`__: BUG:
fft.next_fast_len should accept keyword arguments
* `#12989 <https://github.com/scipy/scipy/pull/12989>`__: BUG: improved the
stability of kde for highly (1000s) multi-dimension...
* `#13017 <https://github.com/scipy/scipy/pull/13017>`__: BUG: Add explicit
cast to _tmp sum.
* `#13022 <https://github.com/scipy/scipy/pull/13022>`__: TST: xfail
test_maxiter_worsening()

Checksums
=========

MD5
~~~

09a446e10033c3132f1f257e3f4d9735
 scipy-1.5.4-cp36-cp36m-macosx_10_9_x86_64.whl
25e58fde2fd4eb6c7717719db85e368b  scipy-1.5.4-cp36-cp36m-manylinux1_i686.whl
2c9705cd57788ad79ea0c1015208f41f
 scipy-1.5.4-cp36-cp36m-manylinux1_x86_64.whl
d0fb84f3ff45e4149698fbc662ac4d47
 scipy-1.5.4-cp36-cp36m-manylinux2014_aarch64.whl
f94f0e274cd2960ecb2d8751632e098c  scipy-1.5.4-cp36-cp36m-win32.whl
f56f4d5b67fccc49fb64331c28bdf7d1  scipy-1.5.4-cp36-cp36m-win_amd64.whl
33e0843f8619b78547866579134a733b
 scipy-1.5.4-cp37-cp37m-macosx_10_9_x86_64.whl
6720a406d82bd08c4370b665d5eddeb9  scipy-1.5.4-cp37-cp37m-manylinux1_i686.whl
eafc3bc8a12d41cb348c73b54ad25ad5
 scipy-1.5.4-cp37-cp37m-manylinux1_x86_64.whl
1174418ae0614d621acdb49faeaadcb8
 scipy-1.5.4-cp37-cp37m-manylinux2014_aarch64.whl
5ca53c5cd6828498c0a41c3ae747a34b  scipy-1.5.4-cp37-cp37m-win32.whl
cdb91a7db9cf79b7446680f8d106aabc  scipy-1.5.4-cp37-cp37m-win_amd64.whl
02a29a4eec9c61c30aef7439138fe1b3
 scipy-1.5.4-cp38-cp38-macosx_10_9_x86_64.whl
ce8e02167763493374c4bea807139a1b  scipy-1.5.4-cp38-cp38-manylinux1_i686.whl
65ec027bfa6bed805dac62744b45c693
 scipy-1.5.4-cp38-cp38-manylinux1_x86_64.whl
c358b4b332cc9dbcd1eadc229d8b019e
 scipy-1.5.4-cp38-cp38-manylinux2014_aarch64.whl
492ec3bfe082229076a83d74cfa51d7e  scipy-1.5.4-cp38-cp38-win32.whl
d5d12211502429f3bc3074b12ca1f541  scipy-1.5.4-cp38-cp38-win_amd64.whl
da25e7ac777e8b1b6cd7f117f163e6d2
 scipy-1.5.4-cp39-cp39-macosx_10_9_x86_64.whl
12275e3578eb17065081d83d329d18db  scipy-1.5.4-cp39-cp39-manylinux1_i686.whl
6778d670f75f536921c3d38e44517280
 scipy-1.5.4-cp39-cp39-manylinux1_x86_64.whl
efda61c74b29ffe714b6b842ec369a19
 scipy-1.5.4-cp39-cp39-manylinux2014_aarch64.whl
107204c14328df879c5fc941e7829389  scipy-1.5.4-cp39-cp39-win32.whl
ed6970f7538d38dd91a42950bd6843b7  scipy-1.5.4-cp39-cp39-win_amd64.whl
293401ee7ac354a2f2313373b497f40e  scipy-1.5.4.tar.gz
d446ec7a6b0bc44484389ab7589eccf5  scipy-1.5.4.tar.xz
47d0dabdc684475bc2aac7e8db9eea6f  scipy-1.5.4.zip

SHA256
~~~~~~

4f12d13ffbc16e988fa40809cbbd7a8b45bc05ff6ea0ba8e3e41f6f4db3a9e47
 scipy-1.5.4-cp36-cp36m-macosx_10_9_x86_64.whl
a254b98dbcc744c723a838c03b74a8a34c0558c9ac5c86d5561703362231107d
 scipy-1.5.4-cp36-cp36m-manylinux1_i686.whl
368c0f69f93186309e1b4beb8e26d51dd6f5010b79264c0f1e9ca00cd92ea8c9
 scipy-1.5.4-cp36-cp36m-manylinux1_x86_64.whl
4598cf03136067000855d6b44d7a1f4f46994164bcd450fb2c3d481afc25dd06
 scipy-1.5.4-cp36-cp36m-manylinux2014_aarch64.whl
e98d49a5717369d8241d6cf33ecb0ca72deee392414118198a8e5b4c35c56340
 scipy-1.5.4-cp36-cp36m-win32.whl
65923bc3809524e46fb7eb4d6346552cbb6a1ffc41be748535aa502a2e3d3389
 scipy-1.5.4-cp36-cp36m-win_amd64.whl
9ad4fcddcbf5dc67619379782e6aeef41218a79e17979aaed01ed099876c0e62
 scipy-1.5.4-cp37-cp37m-macosx_10_9_x86_64.whl
f87b39f4d69cf7d7529d7b1098cb712033b17ea7714aed831b95628f483fd012
 scipy-1.5.4-cp37-cp37m-manylinux1_i686.whl
25b241034215247481f53355e05f9e25462682b13bd9191359075682adcd9554
 scipy-1.5.4-cp37-cp37m-manylinux1_x86_64.whl
fa789583fc94a7689b45834453fec095245c7e69c58561dc159b5d5277057e4c
 scipy-1.5.4-cp37-cp37m-manylinux2014_aarch64.whl
d6d25c41a009e3c6b7e757338948d0076ee1dd1770d1c09ec131f11946883c54
 scipy-1.5.4-cp37-cp37m-win32.whl
2c872de0c69ed20fb1a9b9cf6f77298b04a26f0b8720a5457be08be254366c6e
 scipy-1.5.4-cp37-cp37m-win_amd64.whl
e360cb2299028d0b0d0f65a5c5e51fc16a335f1603aa2357c25766c8dab56938
 scipy-1.5.4-cp38-cp38-macosx_10_9_x86_64.whl
3397c129b479846d7eaa18f999369a24322d008fac0782e7828fa567358c36ce
 scipy-1.5.4-cp38-cp38-manylinux1_i686.whl
168c45c0c32e23f613db7c9e4e780bc61982d71dcd406ead746c7c7c2f2004ce
 scipy-1.5.4-cp38-cp38-manylinux1_x86_64.whl
213bc59191da2f479984ad4ec39406bf949a99aba70e9237b916ce7547b6ef42
 scipy-1.5.4-cp38-cp38-manylinux2014_aarch64.whl
634568a3018bc16a83cda28d4f7aed0d803dd5618facb36e977e53b2df868443
 scipy-1.5.4-cp38-cp38-win32.whl
b03c4338d6d3d299e8ca494194c0ae4f611548da59e3c038813f1a43976cb437
 scipy-1.5.4-cp38-cp38-win_amd64.whl
3d5db5d815370c28d938cf9b0809dade4acf7aba57eaf7ef733bfedc9b2474c4
 scipy-1.5.4-cp39-cp39-macosx_10_9_x86_64.whl
6b0ceb23560f46dd236a8ad4378fc40bad1783e997604ba845e131d6c680963e
 scipy-1.5.4-cp39-cp39-manylinux1_i686.whl
ed572470af2438b526ea574ff8f05e7f39b44ac37f712105e57fc4d53a6fb660
 scipy-1.5.4-cp39-cp39-manylinux1_x86_64.whl
8c8d6ca19c8497344b810b0b0344f8375af5f6bb9c98bd42e33f747417ab3f57
 scipy-1.5.4-cp39-cp39-manylinux2014_aarch64.whl
d84cadd7d7998433334c99fa55bcba0d8b4aeff0edb123b2a1dfcface538e474
 scipy-1.5.4-cp39-cp39-win32.whl
cc1f78ebc982cd0602c9a7615d878396bec94908db67d4ecddca864d049112f2
 scipy-1.5.4-cp39-cp39-win_amd64.whl
4a453d5e5689de62e5d38edf40af3f17560bfd63c9c5bd228c18c1f99afa155b
 scipy-1.5.4.tar.gz
5c87347bfe2db6e23d391aa226584f6b280248c0ca71e08f26f1faf9d7a76bc9
 scipy-1.5.4.tar.xz
e0bcc10c133a151937550bb42301c56439d34098b1b8f9dd18c5919d604edd37
 scipy-1.5.4.zip
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mail.python.org/pipermail/numpy-discussion/attachments/20201104/d303e864/attachment-0001.html>


More information about the NumPy-Discussion mailing list