NumPy 1.19.3 Release Notes
NumPy 1.19.3 is a small maintenace release with two major improvements:
- Python 3.9 binary wheels on all supported platforms.
- OpenBLAS fixes for Windows 10 version 2004 fmod bug.
This release supports Python 3.6-3.9 and is linked with OpenBLAS 3.7 to
avoid some of the fmod problems on Windows 10 version 2004. Microsoft is
aware of the problem and users should upgrade when the fix becomes
available, the fix here is limited in scope.
Contributors
A total of 8 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
- Charles Harris
- Chris Brown +
- Daniel Vanzo +
- E. Madison Bray +
- Hugo van Kemenade +
- Ralf Gommers
- Sebastian Berg
- @danbeibei +
Pull requests merged
A total of 10 pull requests were merged for this release.
- #17298: BLD: set upper versions for build dependencies
- #17336: BUG: Set deprecated fields to null in PyArray_InitArrFuncs
- #17446: ENH: Warn on unsupported Python 3.10+
- #17450: MAINT: Update test_requirements.txt.
- #17522: ENH: Support for the NVIDIA HPC SDK nvfortran compiler
- #17568: BUG: Cygwin Workaround for #14787 on affected platforms
- #17647: BUG: Fix memory leak of buffer-info cache due to relaxed strides
- #17652: MAINT: Backport openblas_support from master.
- #17653: TST: Add Python 3.9 to the CI testing on Windows, Mac.
- #17660: TST: Simplify source path names in test_extending.
Checksums
MD5
e5c6c782b2f112c32dcc38242521ec83 numpy-1.19.3-cp36-cp36m-macosx_10_9_x86_64.whl
02323e4a20e14e6f7cded1c55f6a0afe numpy-1.19.3-cp36-cp36m-manylinux1_i686.whl
95f19f0b6c60a755a8454f22eb15f4d6 numpy-1.19.3-cp36-cp36m-manylinux1_x86_64.whl
e66cf5ea007a9b567be2b1a901b3d2e0 numpy-1.19.3-cp36-cp36m-manylinux2010_i686.whl
8c7d422f147392bd31f9e5bfc41a170e numpy-1.19.3-cp36-cp36m-manylinux2010_x86_64.whl
da02c95dcf0acf7688aebaba7ba2750d numpy-1.19.3-cp36-cp36m-manylinux2014_aarch64.whl
96e6ec05aca18516c8a5961c17a0cac6 numpy-1.19.3-cp36-cp36m-win32.whl
5aa36a829a7ce0a89e6fea502d4fa9ea numpy-1.19.3-cp36-cp36m-win_amd64.whl
9143b46601bc0457dd42795a71ccd2f1 numpy-1.19.3-cp37-cp37m-macosx_10_9_x86_64.whl
ebe09a5e206db0de65154ef75377f963 numpy-1.19.3-cp37-cp37m-manylinux1_i686.whl
96008f5c61368d4cd967ecd474525df6 numpy-1.19.3-cp37-cp37m-manylinux1_x86_64.whl
e61aaf0c971b667c5fed8b5de3773c6d numpy-1.19.3-cp37-cp37m-manylinux2010_i686.whl
74a9f9dab6f00bcf56096eaa910c48b9 numpy-1.19.3-cp37-cp37m-manylinux2010_x86_64.whl
18d911f7f462ee98333de9579adde331 numpy-1.19.3-cp37-cp37m-manylinux2014_aarch64.whl
f29846178b82bd4e8db1685a6e911336 numpy-1.19.3-cp37-cp37m-win32.whl
d372be03d9e57e5e0e1372bf39391241 numpy-1.19.3-cp37-cp37m-win_amd64.whl
c64b6538e07bca9d84287eebb3f3a01b numpy-1.19.3-cp38-cp38-macosx_10_9_x86_64.whl
8ac57941de395be58376611b211ea571 numpy-1.19.3-cp38-cp38-manylinux1_i686.whl
81cc1993ac8da61fea677a7eb49989e8 numpy-1.19.3-cp38-cp38-manylinux1_x86_64.whl
9b2b05db89068d1f3f32a231f3953355 numpy-1.19.3-cp38-cp38-manylinux2010_i686.whl
d26cfa5ad6f4aa6beb42246efc45f565 numpy-1.19.3-cp38-cp38-manylinux2010_x86_64.whl
969a13b40fceb950021e297d5427f329 numpy-1.19.3-cp38-cp38-manylinux2014_aarch64.whl
f978618640860e72b91c522f4e4085af numpy-1.19.3-cp38-cp38-win32.whl
af140a06f216c4100dc93c4135003d10 numpy-1.19.3-cp38-cp38-win_amd64.whl
fda3cdf138516040cad3de66496cf670 numpy-1.19.3-cp39-cp39-macosx_10_9_x86_64.whl
f683469f18abc8c84aa831d9e78f4eb6 numpy-1.19.3-cp39-cp39-manylinux1_i686.whl
26414c3db751ca4735f744b239bf9703 numpy-1.19.3-cp39-cp39-manylinux1_x86_64.whl
3164ede05e3a5d28dd8bd66aee56928c numpy-1.19.3-cp39-cp39-manylinux2010_i686.whl
fc0b0c73c5508247d21beb42cf3fff66 numpy-1.19.3-cp39-cp39-manylinux2010_x86_64.whl
75097b6e154469c63c50c8f7eaf52a89 numpy-1.19.3-cp39-cp39-manylinux2014_aarch64.whl
cd4363bde576c997bf737f420a85683a numpy-1.19.3-cp39-cp39-win32.whl
54fa685b3d30585763f59a7b2be7279b numpy-1.19.3-cp39-cp39-win_amd64.whl
ed5bd59a064fe5b95699c222dc7a4638 numpy-1.19.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl
b2d13ca1b8ff89a9289174a86b835165 numpy-1.19.3.tar.gz
7f014f9964987b59083c8dc4d158d45a numpy-1.19.3.zip
SHA256
942d2cdcb362739908c26ce8dd88db6e139d3fa829dd7452dd9ff02cba6b58b2 numpy-1.19.3-cp36-cp36m-macosx_10_9_x86_64.whl
efd656893171bbf1331beca4ec9f2e74358fc732a2084f664fd149cc4b3441d2 numpy-1.19.3-cp36-cp36m-manylinux1_i686.whl
1a307bdd3dd444b1d0daa356b5f4c7de2e24d63bdc33ea13ff718b8ec4c6a268 numpy-1.19.3-cp36-cp36m-manylinux1_x86_64.whl
9d08d84bb4128abb9fbd9f073e5c69f70e5dab991a9c42e5b4081ea5b01b5db0 numpy-1.19.3-cp36-cp36m-manylinux2010_i686.whl
7197ee0a25629ed782c7bd01871ee40702ffeef35bc48004bc2fdcc71e29ba9d numpy-1.19.3-cp36-cp36m-manylinux2010_x86_64.whl
8edc4d687a74d0a5f8b9b26532e860f4f85f56c400b3a98899fc44acb5e27add numpy-1.19.3-cp36-cp36m-manylinux2014_aarch64.whl
522053b731e11329dd52d258ddf7de5288cae7418b55e4b7d32f0b7e31787e9d numpy-1.19.3-cp36-cp36m-win32.whl
eefc13863bf01583a85e8c1121a901cc7cb8f059b960c4eba30901e2e6aba95f numpy-1.19.3-cp36-cp36m-win_amd64.whl
6ff88bcf1872b79002569c63fe26cd2cda614e573c553c4d5b814fb5eb3d2822 numpy-1.19.3-cp37-cp37m-macosx_10_9_x86_64.whl
e080087148fd70469aade2abfeadee194357defd759f9b59b349c6192aba994c numpy-1.19.3-cp37-cp37m-manylinux1_i686.whl
50f68ebc439821b826823a8da6caa79cd080dee2a6d5ab9f1163465a060495ed numpy-1.19.3-cp37-cp37m-manylinux1_x86_64.whl
b9074d062d30c2779d8af587924f178a539edde5285d961d2dfbecbac9c4c931 numpy-1.19.3-cp37-cp37m-manylinux2010_i686.whl
463792a249a81b9eb2b63676347f996d3f0082c2666fd0604f4180d2e5445996 numpy-1.19.3-cp37-cp37m-manylinux2010_x86_64.whl
ea6171d2d8d648dee717457d0f75db49ad8c2f13100680e284d7becf3dc311a6 numpy-1.19.3-cp37-cp37m-manylinux2014_aarch64.whl
0ee77786eebbfa37f2141fd106b549d37c89207a0d01d8852fde1c82e9bfc0e7 numpy-1.19.3-cp37-cp37m-win32.whl
271139653e8b7a046d11a78c0d33bafbddd5c443a5b9119618d0652a4eb3a09f numpy-1.19.3-cp37-cp37m-win_amd64.whl
e983cbabe10a8989333684c98fdc5dd2f28b236216981e0c26ed359aaa676772 numpy-1.19.3-cp38-cp38-macosx_10_9_x86_64.whl
d78294f1c20f366cde8a75167f822538a7252b6e8b9d6dbfb3bdab34e7c1929e numpy-1.19.3-cp38-cp38-manylinux1_i686.whl
199bebc296bd8a5fc31c16f256ac873dd4d5b4928dfd50e6c4995570fc71a8f3 numpy-1.19.3-cp38-cp38-manylinux1_x86_64.whl
dffed17848e8b968d8d3692604e61881aa6ef1f8074c99e81647ac84f6038535 numpy-1.19.3-cp38-cp38-manylinux2010_i686.whl
5ea4401ada0d3988c263df85feb33818dc995abc85b8125f6ccb762009e7bc68 numpy-1.19.3-cp38-cp38-manylinux2010_x86_64.whl
604d2e5a31482a3ad2c88206efd43d6fcf666ada1f3188fd779b4917e49b7a98 numpy-1.19.3-cp38-cp38-manylinux2014_aarch64.whl
a2daea1cba83210c620e359de2861316f49cc7aea8e9a6979d6cb2ddab6dda8c numpy-1.19.3-cp38-cp38-win32.whl
dfdc8b53aa9838b9d44ed785431ca47aa3efaa51d0d5dd9c412ab5247151a7c4 numpy-1.19.3-cp38-cp38-win_amd64.whl
9f7f56b5e85b08774939622b7d45a5d00ff511466522c44fc0756ac7692c00f2 numpy-1.19.3-cp39-cp39-macosx_10_9_x86_64.whl
8802d23e4895e0c65e418abe67cdf518aa5cbb976d97f42fd591f921d6dffad0 numpy-1.19.3-cp39-cp39-manylinux1_i686.whl
c4aa79993f5d856765819a3651117520e41ac3f89c3fc1cb6dee11aa562df6da numpy-1.19.3-cp39-cp39-manylinux1_x86_64.whl
51e8d2ae7c7e985c7bebf218e56f72fa93c900ad0c8a7d9fbbbf362f45710f69 numpy-1.19.3-cp39-cp39-manylinux2010_i686.whl
50d3513469acf5b2c0406e822d3f314d7ac5788c2b438c24e5dd54d5a81ef522 numpy-1.19.3-cp39-cp39-manylinux2010_x86_64.whl
741d95eb2b505bb7a99fbf4be05fa69f466e240c2b4f2d3ddead4f1b5f82a5a5 numpy-1.19.3-cp39-cp39-manylinux2014_aarch64.whl
1ea7e859f16e72ab81ef20aae69216cfea870676347510da9244805ff9670170 numpy-1.19.3-cp39-cp39-win32.whl
83af653bb92d1e248ccf5fdb05ccc934c14b936bcfe9b917dc180d3f00250ac6 numpy-1.19.3-cp39-cp39-win_amd64.whl
9a0669787ba8c9d3bb5de5d9429208882fb47764aa79123af25c5edc4f5966b9 numpy-1.19.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl
9179d259a9bc53ed7b153d31fc3156d1ca560d61079f53191cf177c3efc4a498 numpy-1.19.3.tar.gz
35bf5316af8dc7c7db1ad45bec603e5fb28671beb98ebd1d65e8059efcfd3b72 numpy-1.19.3.zip