[Numpy-discussion] ANN: SciPy 1.5.2

Tyler Reddy tyler.je.reddy at gmail.com
Thu Jul 23 22:21:07 EDT 2020


Hi all,

On behalf of the SciPy development team I'm pleased to announce
the release of SciPy 1.5.2, which is a bug fix release.

Sources and binary wheels can be found at:
https://pypi.org/project/scipy/
and at: https://github.com/scipy/scipy/releases/tag/v1.5.2

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

pip install scipy==1.5.2

==========================
SciPy 1.5.2 Release Notes
==========================

SciPy 1.5.2 is a bug-fix release with no new features
compared to 1.5.1.

Authors
======

* Peter Bell
* Tobias Biester +
* Evgeni Burovski
* Thomas A Caswell
* Ralf Gommers
* Sturla Molden
* Andrew Nelson
* ofirr +
* Sambit Panda
* Ilhan Polat
* Tyler Reddy
* Atsushi Sakai
* Pauli Virtanen

A total of 13 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 1.5.2
------------------------------

* `#3847 <https://github.com/scipy/scipy/issues/3847>`__: Crash of
interpolate.splprep(task=-1)
* `#7395 <https://github.com/scipy/scipy/issues/7395>`__: splprep segfaults
if fixed knots are specified
* `#10761 <https://github.com/scipy/scipy/issues/10761>`__:
scipy.signal.convolve2d produces incorrect values for large arrays
* `#11971 <https://github.com/scipy/scipy/issues/11971>`__: DOC: search in
devdocs returns wrong link
* `#12155 <https://github.com/scipy/scipy/issues/12155>`__: BUG: Fix
permutation of distance matrices in scipy.stats.multiscale_graphcorr
* `#12203 <https://github.com/scipy/scipy/issues/12203>`__: Unable to
install on PyPy 7.3.1 (Python 3.6.9)
* `#12316 <https://github.com/scipy/scipy/issues/12316>`__: negative
scipy.spatial.distance.correlation
* `#12422 <https://github.com/scipy/scipy/issues/12422>`__: BUG: slsqp:
ValueError: failed to initialize intent(inout) array...
* `#12428 <https://github.com/scipy/scipy/issues/12428>`__:
stats.truncnorm.rvs() never returns a scalar in 1.5
* `#12441 <https://github.com/scipy/scipy/issues/12441>`__: eigvalsh
inconsistent eigvals= subset_by_index=
* `#12445 <https://github.com/scipy/scipy/issues/12445>`__: DOC:
scipy.linalg.eigh
* `#12449 <https://github.com/scipy/scipy/issues/12449>`__: Warnings are
not filtered in csr_matrix.sum()
* `#12469 <https://github.com/scipy/scipy/issues/12469>`__: SciPy 1.9
exception in LSQSphereBivariateSpline
* `#12487 <https://github.com/scipy/scipy/issues/12487>`__: BUG: optimize:
incorrect result from approx_fprime
* `#12493 <https://github.com/scipy/scipy/issues/12493>`__: CI: GitHub
Actions for maintenance branches
* `#12533 <https://github.com/scipy/scipy/issues/12533>`__: eigh gives
incorrect results
* `#12579 <https://github.com/scipy/scipy/issues/12579>`__: BLD, MAINT:
distutils issues in wheels repo

Pull requests for 1.5.2
-------------------------------

* `#12156 <https://github.com/scipy/scipy/pull/12156>`__: BUG: Fix
permutation of distance matrices in scipy.stats.multiscale_graphcorr
* `#12238 <https://github.com/scipy/scipy/pull/12238>`__: BUG: Use 64-bit
indexing in convolve2d to avoid overflow
* `#12256 <https://github.com/scipy/scipy/pull/12256>`__: BLD: Build lsap
as a single extension instead of extension +...
* `#12320 <https://github.com/scipy/scipy/pull/12320>`__: BUG: spatial:
avoid returning negative correlation distance
* `#12383 <https://github.com/scipy/scipy/pull/12383>`__: ENH: Make
cKDTree.tree more efficient
* `#12392 <https://github.com/scipy/scipy/pull/12392>`__: DOC: update
scipy-sphinx-theme
* `#12430 <https://github.com/scipy/scipy/pull/12430>`__: BUG: truncnorm
and geninvgauss never return scalars from rvs
* `#12437 <https://github.com/scipy/scipy/pull/12437>`__: BUG: optimize:
cast bounds to floats in new_bounds_to_old/old_bounds_to_new
* `#12442 <https://github.com/scipy/scipy/pull/12442>`__: MAINT:linalg: Fix
for input args of eigvalsh
* `#12461 <https://github.com/scipy/scipy/pull/12461>`__: MAINT: sparse:
write matrix/asmatrix wrappers without warning...
* `#12478 <https://github.com/scipy/scipy/pull/12478>`__: BUG: fix
array_like input defects and add tests for all functions...
* `#12488 <https://github.com/scipy/scipy/pull/12488>`__: BUG: fix
approx_derivative step size. Closes #12487
* `#12500 <https://github.com/scipy/scipy/pull/12500>`__: CI: actions
branch trigger fix
* `#12501 <https://github.com/scipy/scipy/pull/12501>`__: CI: actions
branch trigger fix
* `#12504 <https://github.com/scipy/scipy/pull/12504>`__: BUG: cKDTreeNode
use after free
* `#12529 <https://github.com/scipy/scipy/pull/12529>`__: MAINT: allow
graceful docs re-upload
* `#12538 <https://github.com/scipy/scipy/pull/12538>`__: BUG:linalg: eigh
type parameter handling corrected
* `#12560 <https://github.com/scipy/scipy/pull/12560>`__: MAINT:
truncnorm.rvs compatibility for \`Generator\`
* `#12562 <https://github.com/scipy/scipy/pull/12562>`__: redo gh-12188:
fix segfaults in splprep with fixed knots
* `#12586 <https://github.com/scipy/scipy/pull/12586>`__: BLD: Add -std=c99
to sigtools to compile with C99
* `#12590 <https://github.com/scipy/scipy/pull/12590>`__: CI: Add GCC 4.8
entry to travis build matrix
* `#12591 <https://github.com/scipy/scipy/pull/12591>`__: BLD: fix cython
error on master-branch cython

Checksums
=========

MD5
~~~

2e046d26cdc4241a6a5b2907d57528df
 scipy-1.5.2-cp36-cp36m-macosx_10_9_x86_64.whl
902dea66453e2fa0616e9479970986f5  scipy-1.5.2-cp36-cp36m-manylinux1_i686.whl
e130db080706d9f4ce22d8493c8e1ce2
 scipy-1.5.2-cp36-cp36m-manylinux1_x86_64.whl
721f16bae600731e479a5b4e98ce9a97  scipy-1.5.2-cp36-cp36m-win32.whl
a3171cfe38618d51acbfb8d1b39ac612  scipy-1.5.2-cp36-cp36m-win_amd64.whl
c9f733d4d2e82c098c08760963dafaf8
 scipy-1.5.2-cp37-cp37m-macosx_10_9_x86_64.whl
53ba6c502d09145b38e0e857b2d4a273  scipy-1.5.2-cp37-cp37m-manylinux1_i686.whl
b9db33944ac4147936a7f42df8e95ad2
 scipy-1.5.2-cp37-cp37m-manylinux1_x86_64.whl
be9e8bfdf0e5e0914d1e1605be26d9c0  scipy-1.5.2-cp37-cp37m-win32.whl
848fa7b82a25d0ce36710ccc47ebc2ca  scipy-1.5.2-cp37-cp37m-win_amd64.whl
590cd3b70a2dc8664896d6b9e2e5fc6d
 scipy-1.5.2-cp38-cp38-macosx_10_9_x86_64.whl
7fdbb19c15702b98319ea4ea32df8458  scipy-1.5.2-cp38-cp38-manylinux1_i686.whl
301f3a873e1bfef70d6f594c489fafe8
 scipy-1.5.2-cp38-cp38-manylinux1_x86_64.whl
8c08ac0f55810e89e336eb3bf5a7b337  scipy-1.5.2-cp38-cp38-win32.whl
711f5c47c801dc79bead7d40669fd8c9  scipy-1.5.2-cp38-cp38-win_amd64.whl
620fc39f371e04a76af5d0290f8d3753  scipy-1.5.2.tar.gz
5bc188f21054a2ecff74fae40dd298da  scipy-1.5.2.tar.xz
17bc80802955d100f6c1335594eda29a  scipy-1.5.2.zip

SHA256
~~~~~~

cca9fce15109a36a0a9f9cfc64f870f1c140cb235ddf27fe0328e6afb44dfed0
 scipy-1.5.2-cp36-cp36m-macosx_10_9_x86_64.whl
1c7564a4810c1cd77fcdee7fa726d7d39d4e2695ad252d7c86c3ea9d85b7fb8f
 scipy-1.5.2-cp36-cp36m-manylinux1_i686.whl
07e52b316b40a4f001667d1ad4eb5f2318738de34597bd91537851365b6c61f1
 scipy-1.5.2-cp36-cp36m-manylinux1_x86_64.whl
d56b10d8ed72ec1be76bf10508446df60954f08a41c2d40778bc29a3a9ad9bce
 scipy-1.5.2-cp36-cp36m-win32.whl
8e28e74b97fc8d6aa0454989db3b5d36fc27e69cef39a7ee5eaf8174ca1123cb
 scipy-1.5.2-cp36-cp36m-win_amd64.whl
6e86c873fe1335d88b7a4bfa09d021f27a9e753758fd75f3f92d714aa4093768
 scipy-1.5.2-cp37-cp37m-macosx_10_9_x86_64.whl
a0afbb967fd2c98efad5f4c24439a640d39463282040a88e8e928db647d8ac3d
 scipy-1.5.2-cp37-cp37m-manylinux1_i686.whl
eecf40fa87eeda53e8e11d265ff2254729d04000cd40bae648e76ff268885d66
 scipy-1.5.2-cp37-cp37m-manylinux1_x86_64.whl
315aa2165aca31375f4e26c230188db192ed901761390be908c9b21d8b07df62
 scipy-1.5.2-cp37-cp37m-win32.whl
ec5fe57e46828d034775b00cd625c4a7b5c7d2e354c3b258d820c6c72212a6ec
 scipy-1.5.2-cp37-cp37m-win_amd64.whl
fc98f3eac993b9bfdd392e675dfe19850cc8c7246a8fd2b42443e506344be7d9
 scipy-1.5.2-cp38-cp38-macosx_10_9_x86_64.whl
a785409c0fa51764766840185a34f96a0a93527a0ff0230484d33a8ed085c8f8
 scipy-1.5.2-cp38-cp38-manylinux1_i686.whl
0a0e9a4e58a4734c2eba917f834b25b7e3b6dc333901ce7784fd31aefbd37b2f
 scipy-1.5.2-cp38-cp38-manylinux1_x86_64.whl
dac09281a0eacd59974e24525a3bc90fa39b4e95177e638a31b14db60d3fa806
 scipy-1.5.2-cp38-cp38-win32.whl
92eb04041d371fea828858e4fff182453c25ae3eaa8782d9b6c32b25857d23bc
 scipy-1.5.2-cp38-cp38-win_amd64.whl
066c513d90eb3fd7567a9e150828d39111ebd88d3e924cdfc9f8ce19ab6f90c9
 scipy-1.5.2.tar.gz
28d5d2e9af6ca5c0352cd83fb64191f2d8e883ab5287a221ba7a175c8cc2ccbe
 scipy-1.5.2.tar.xz
a9054595a370f24d68f7a694037316b69ae80f5837323d567f76cde055189c08
 scipy-1.5.2.zip
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20200723/74657e6f/attachment-0001.html>


More information about the NumPy-Discussion mailing list