NumPy 1.21.6 Release Notes

NumPy 1.21.6 is a very small release that achieves two things:

• Backs out the mistaken backport of C++ code into 1.21.5.
• Provides a 32 bit Windows wheel for Python 3.10.

The provision of the 32 bit wheel is intended to make life easier for
oldest-supported-numpy.

Checksums

MD5

5a3e5d7298056bcfbc3246597af474d4  numpy-1.21.6-cp310-cp310-macosx_10_9_universal2.whl
d981d2859842e7b62dc93e24808c7bac  numpy-1.21.6-cp310-cp310-macosx_10_9_x86_64.whl
171313893c26529404d09fadb3537ed3  numpy-1.21.6-cp310-cp310-macosx_11_0_arm64.whl
5a7a6dfdd43069f9b29d3fe6b7f3a2ce  numpy-1.21.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
a9e25375a72725c5d74442eda53af405  numpy-1.21.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
6f9a782477380b2cdb7606f6f7634c00  numpy-1.21.6-cp310-cp310-win32.whl
32a73a348864700a3fa510d2fc4350b7  numpy-1.21.6-cp310-cp310-win_amd64.whl
0db8941ebeb0a02cd839d9cd3c5c20bb  numpy-1.21.6-cp37-cp37m-macosx_10_9_x86_64.whl
67882155be9592850861f4ad8ba36623  numpy-1.21.6-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
c70e30e1ff9ab49f898c19e7a6492ae6  numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
e32dbd291032c7554a742f1bb9b2f7a3  numpy-1.21.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
689bf804c2cd16cb241fd943e3833ffd  numpy-1.21.6-cp37-cp37m-win32.whl
0062a7b0231a07cb5b9f3d7c495e6fe4  numpy-1.21.6-cp37-cp37m-win_amd64.whl
0d08809980ab497659e7aa0df9ce120e  numpy-1.21.6-cp38-cp38-macosx_10_9_universal2.whl
3c67d14ea2009069844b27bfbf74304d  numpy-1.21.6-cp38-cp38-macosx_10_9_x86_64.whl
5f0e773745cb817313232ac1bf4c7eee  numpy-1.21.6-cp38-cp38-macosx_11_0_arm64.whl
fa8011e065f1964d3eb870bb3926fc99  numpy-1.21.6-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
486cf9d4daab59aad253aa5b84a5aa83  numpy-1.21.6-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
88509abab303c076dfb26f00e455180d  numpy-1.21.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
f7234e2ef837f5f6ddbde8db246fd05b  numpy-1.21.6-cp38-cp38-win32.whl
e1063e01fb44ea7a49adea0c33548217  numpy-1.21.6-cp38-cp38-win_amd64.whl
61c4caad729e3e0e688accbc1424ed45  numpy-1.21.6-cp39-cp39-macosx_10_9_universal2.whl
67488d8ccaeff798f2e314aae7c4c3d6  numpy-1.21.6-cp39-cp39-macosx_10_9_x86_64.whl
128c3713b5d1de45a0f522562bac5263  numpy-1.21.6-cp39-cp39-macosx_11_0_arm64.whl
50e79cd0610b4ed726b3bf08c3716dab  numpy-1.21.6-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
bd0c9e3c0e488faac61daf3227fb95af  numpy-1.21.6-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
aa5e9baf1dec16b15e481c23f8a23214  numpy-1.21.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
a2405b0e5d3f775ad30177296a997092  numpy-1.21.6-cp39-cp39-win32.whl
f0d20eda8c78f957ea70c5527954303e  numpy-1.21.6-cp39-cp39-win_amd64.whl
9682abbcc38cccb7f56e48aacca7de23  numpy-1.21.6-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
6aa3c2e8ea2886bf593bd8e0a1425c64  numpy-1.21.6.tar.gz
04aea95dcb1d256d13a45df42173aa1e  numpy-1.21.6.zip

SHA256

8737609c3bbdd48e380d463134a35ffad3b22dc56295eff6f79fd85bd0eeeb25  numpy-1.21.6-cp310-cp310-macosx_10_9_universal2.whl
fdffbfb6832cd0b300995a2b08b8f6fa9f6e856d562800fea9182316d99c4e8e  numpy-1.21.6-cp310-cp310-macosx_10_9_x86_64.whl
3820724272f9913b597ccd13a467cc492a0da6b05df26ea09e78b171a0bb9da6  numpy-1.21.6-cp310-cp310-macosx_11_0_arm64.whl
f17e562de9edf691a42ddb1eb4a5541c20dd3f9e65b09ded2beb0799c0cf29bb  numpy-1.21.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
5f30427731561ce75d7048ac254dbe47a2ba576229250fb60f0fb74db96501a1  numpy-1.21.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
d4bf4d43077db55589ffc9009c0ba0a94fa4908b9586d6ccce2e0b164c86303c  numpy-1.21.6-cp310-cp310-win32.whl
d136337ae3cc69aa5e447e78d8e1514be8c3ec9b54264e680cf0b4bd9011574f  numpy-1.21.6-cp310-cp310-win_amd64.whl
6aaf96c7f8cebc220cdfc03f1d5a31952f027dda050e5a703a0d1c396075e3e7  numpy-1.21.6-cp37-cp37m-macosx_10_9_x86_64.whl
67c261d6c0a9981820c3a149d255a76918278a6b03b6a036800359aba1256d46  numpy-1.21.6-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
a6be4cb0ef3b8c9250c19cc122267263093eee7edd4e3fa75395dfda8c17a8e2  numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
7c4068a8c44014b2d55f3c3f574c376b2494ca9cc73d2f1bd692382b6dffe3db  numpy-1.21.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
7c7e5fa88d9ff656e067876e4736379cc962d185d5cd808014a8a928d529ef4e  numpy-1.21.6-cp37-cp37m-win32.whl
bcb238c9c96c00d3085b264e5c1a1207672577b93fa666c3b14a45240b14123a  numpy-1.21.6-cp37-cp37m-win_amd64.whl
82691fda7c3f77c90e62da69ae60b5ac08e87e775b09813559f8901a88266552  numpy-1.21.6-cp38-cp38-macosx_10_9_universal2.whl
643843bcc1c50526b3a71cd2ee561cf0d8773f062c8cbaf9ffac9fdf573f83ab  numpy-1.21.6-cp38-cp38-macosx_10_9_x86_64.whl
357768c2e4451ac241465157a3e929b265dfac85d9214074985b1786244f2ef3  numpy-1.21.6-cp38-cp38-macosx_11_0_arm64.whl
9f411b2c3f3d76bba0865b35a425157c5dcf54937f82bbeb3d3c180789dd66a6  numpy-1.21.6-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
4aa48afdce4660b0076a00d80afa54e8a97cd49f457d68a4342d188a09451c1a  numpy-1.21.6-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
d6a96eef20f639e6a97d23e57dd0c1b1069a7b4fd7027482a4c5c451cd7732f4  numpy-1.21.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
5c3c8def4230e1b959671eb959083661b4a0d2e9af93ee339c7dada6759a9470  numpy-1.21.6-cp38-cp38-win32.whl
bf2ec4b75d0e9356edea834d1de42b31fe11f726a81dfb2c2112bc1eaa508fcf  numpy-1.21.6-cp38-cp38-win_amd64.whl
4391bd07606be175aafd267ef9bea87cf1b8210c787666ce82073b05f202add1  numpy-1.21.6-cp39-cp39-macosx_10_9_universal2.whl
67f21981ba2f9d7ba9ade60c9e8cbaa8cf8e9ae51673934480e45cf55e953673  numpy-1.21.6-cp39-cp39-macosx_10_9_x86_64.whl
ee5ec40fdd06d62fe5d4084bef4fd50fd4bb6bfd2bf519365f569dc470163ab0  numpy-1.21.6-cp39-cp39-macosx_11_0_arm64.whl
1dbe1c91269f880e364526649a52eff93ac30035507ae980d2fed33aaee633ac  numpy-1.21.6-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
d9caa9d5e682102453d96a0ee10c7241b72859b01a941a397fd965f23b3e016b  numpy-1.21.6-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
58459d3bad03343ac4b1b42ed14d571b8743dc80ccbf27444f266729df1d6f5b  numpy-1.21.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
7f5ae4f304257569ef3b948810816bc87c9146e8c446053539947eedeaa32786  numpy-1.21.6-cp39-cp39-win32.whl
e31f0bb5928b793169b87e3d1e070f2342b22d5245c755e2b81caa29756246c3  numpy-1.21.6-cp39-cp39-win_amd64.whl
dd1c8f6bd65d07d3810b90d02eba7997e32abbdf1277a481d698969e921a3be0  numpy-1.21.6-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
d4efc6491a1cdc00f9eca9bf2c1aa13671776f6941c7321ddf75b45c862f0c2c  numpy-1.21.6.tar.gz
ecb55251139706669fdec2ff073c98ef8e9a84473e51e716211b41aa0f18e656  numpy-1.21.6.zip