NumPy 1.20.3 Release Notes

NumPy 1.20.3 is a bugfix release containing several fixes merged to the
main branch after the NumPy 1.20.2 release.

Contributors

A total of 7 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

• Anne Archibald
• Bas van Beek
• Charles Harris
• Dong Keun Oh +
• Kamil Choudhury +
• Sayed Adel
• Sebastian Berg

Pull requests merged

A total of 15 pull requests were merged for this release.

• #18763: BUG: Correct datetime64 missing type overload for datetime.date...
• #18764: MAINT: Remove __all__ in favor of explicit re-exports
• #18768: BLD: Strip extra newline when dumping gfortran version on MacOS
• #18769: BUG: fix segfault in object/longdouble operations
• #18794: MAINT: Use towncrier build explicitly
• #18887: MAINT: Relax certain integer-type constraints
• #18915: MAINT: Remove unsafe unions and ABCs from return-annotations
• #18921: MAINT: Allow more recursion depth for scalar tests.
• #18922: BUG: Initialize the full nditer buffer in case of error
• #18923: BLD: remove unnecessary flag -faltivec on macOS
• #18924: MAINT, CI: treats _SIMD module build warnings as errors through...
• #18925: BUG: for MINGW, threads.h existence test requires GLIBC > 2.12
• #18941: BUG: Make changelog recognize gh- as a PR number prefix.
• #18948: REL, DOC: Prepare for the NumPy 1.20.3 release.
• #18953: BUG: Fix failing mypy test in 1.20.x.

Checksums

MD5

702d0185042f1ff9a5d7e72a29f4e1c0  numpy-1.20.3-cp37-cp37m-macosx_10_9_x86_64.whl
3d0284b39b20c243b74f6690ad5ae27f  numpy-1.20.3-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
d1b42dd67dc228088cf822eaab86d424  numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
126b1a5d46cc7d9b9b426f56d075a1e0  numpy-1.20.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
5b0445346f08b610025dbd2064d4b482  numpy-1.20.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
02bd4a2c764882e8af353c16344cb633  numpy-1.20.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
0f6a36724d5477c8fca6c34e73683db6  numpy-1.20.3-cp37-cp37m-win32.whl
c7d3ae93743d6c0ea2c9dfcad1d42cb4  numpy-1.20.3-cp37-cp37m-win_amd64.whl
445da50ae14b3318170ccf996baca72c  numpy-1.20.3-cp38-cp38-macosx_10_9_x86_64.whl
c651fdb4829703e164bc78613c1a90a8  numpy-1.20.3-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
c9411ef729b8ebe9ed3b8e9dee3da4ac  numpy-1.20.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
ff69ad241598607fdfea24155625a6e3  numpy-1.20.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
9fd8d44d8a5f19e434e9dfb7738d954f  numpy-1.20.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
d144fdfe141442a7f362d498bc9a40c2  numpy-1.20.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
e7ffa27f1c75cf11529d90967fa15bbc  numpy-1.20.3-cp38-cp38-win32.whl
58c12a54d1b5bc14d36ed2b0d8617fef  numpy-1.20.3-cp38-cp38-win_amd64.whl
18efbadcb513054c765f826fc3bb1645  numpy-1.20.3-cp39-cp39-macosx_10_9_x86_64.whl
319300952bd42455cb2ad98188c74b5f  numpy-1.20.3-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
1d1451f9a5a2eeef666fc512a101a6ca  numpy-1.20.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
cdef3fb002bb5e3036f056ea0528c804  numpy-1.20.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
85e575735877094f3a76106e9d2a9cac  numpy-1.20.3-cp39-cp39-win32.whl
59f1dba95dedc7a1bebc58ee7e7a945a  numpy-1.20.3-cp39-cp39-win_amd64.whl
6abc979843929b41b099e4e6c0253063  numpy-1.20.3-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
802ddf90c7e226ba56ed0ea244f8b53d  numpy-1.20.3.tar.gz
949d9114af9accc25ede1daa359c4227  numpy-1.20.3.zip

SHA256

70eb5808127284c4e5c9e836208e09d685a7978b6a216db85960b1a112eeace8  numpy-1.20.3-cp37-cp37m-macosx_10_9_x86_64.whl
6ca2b85a5997dabc38301a22ee43c82adcb53ff660b89ee88dded6b33687e1d8  numpy-1.20.3-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
c5bf0e132acf7557fc9bb8ded8b53bbbbea8892f3c9a1738205878ca9434206a  numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
db250fd3e90117e0312b611574cd1b3f78bec046783195075cbd7ba9c3d73f16  numpy-1.20.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
637d827248f447e63585ca3f4a7d2dfaa882e094df6cfa177cc9cf9cd6cdf6d2  numpy-1.20.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
8b7bb4b9280da3b2856cb1fc425932f46fba609819ee1c62256f61799e6a51d2  numpy-1.20.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
67d44acb72c31a97a3d5d33d103ab06d8ac20770e1c5ad81bdb3f0c086a56cf6  numpy-1.20.3-cp37-cp37m-win32.whl
43909c8bb289c382170e0282158a38cf306a8ad2ff6dfadc447e90f9961bef43  numpy-1.20.3-cp37-cp37m-win_amd64.whl
f1452578d0516283c87608a5a5548b0cdde15b99650efdfd85182102ef7a7c17  numpy-1.20.3-cp38-cp38-macosx_10_9_x86_64.whl
6e51534e78d14b4a009a062641f465cfaba4fdcb046c3ac0b1f61dd97c861b1b  numpy-1.20.3-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
e515c9a93aebe27166ec9593411c58494fa98e5fcc219e47260d9ab8a1cc7f9f  numpy-1.20.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
c1c09247ccea742525bdb5f4b5ceeacb34f95731647fe55774aa36557dbb5fa4  numpy-1.20.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
66fbc6fed94a13b9801fb70b96ff30605ab0a123e775a5e7a26938b717c5d71a  numpy-1.20.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
ea9cff01e75a956dbee133fa8e5b68f2f92175233de2f88de3a682dd94deda65  numpy-1.20.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
f39a995e47cb8649673cfa0579fbdd1cdd33ea497d1728a6cb194d6252268e48  numpy-1.20.3-cp38-cp38-win32.whl
1676b0a292dd3c99e49305a16d7a9f42a4ab60ec522eac0d3dd20cdf362ac010  numpy-1.20.3-cp38-cp38-win_amd64.whl
830b044f4e64a76ba71448fce6e604c0fc47a0e54d8f6467be23749ac2cbd2fb  numpy-1.20.3-cp39-cp39-macosx_10_9_x86_64.whl
55b745fca0a5ab738647d0e4db099bd0a23279c32b31a783ad2ccea729e632df  numpy-1.20.3-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
5d050e1e4bc9ddb8656d7b4f414557720ddcca23a5b88dd7cff65e847864c400  numpy-1.20.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
a9c65473ebc342715cb2d7926ff1e202c26376c0dcaaee85a1fd4b8d8c1d3b2f  numpy-1.20.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
16f221035e8bd19b9dc9a57159e38d2dd060b48e93e1d843c49cb370b0f415fd  numpy-1.20.3-cp39-cp39-win32.whl
6690080810f77485667bfbff4f69d717c3be25e5b11bb2073e76bb3f578d99b4  numpy-1.20.3-cp39-cp39-win_amd64.whl
4e465afc3b96dbc80cf4a5273e5e2b1e3451286361b4af70ce1adb2984d392f9  numpy-1.20.3-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
b7340f0628ce1823c151e3d2a2a8cba2a3ff1357fba4475a24b1816e75c21f90  numpy-1.20.3.tar.gz
e55185e51b18d788e49fe8305fd73ef4470596b33fc2c1ceb304566b99c71a69  numpy-1.20.3.zip