v1.24.4
NumPy 1.24.4 Release Notes
NumPy 1.24.4 is a maintenance release that fixes a few bugs
discovered after the 1.24.3 release. It is the last planned
release in the 1.24.x cycle. The Python versions supported by
this release are 3.8-3.11.
Contributors
A total of 4 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
- Bas van Beek
- Charles Harris
- Sebastian Berg
- Hongyang Peng +
Pull requests merged
A total of 6 pull requests were merged for this release.
- #23720: MAINT, BLD: Pin rtools to version 4.0 for Windows builds.
- #23739: BUG: fix the method for checking local files for 1.24.x
- #23760: MAINT: Copy rtools installation from install-rtools.
- #23761: BUG: Fix masked array ravel order for A (and somewhat K)
- #23890: TYP,DOC: Annotate and document the
metadata
parameter of... - #23994: MAINT: Update rtools installation
Checksums
MD5
25049e3aee79dde29e7a498d3ad13379 numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl
579b5c357c918feaef4af03af8afb721 numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl
c873a14fa4f0210884db9c05e2904286 numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
110a13ac016286059f0658b52b3646c0 numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
fa67218966c0aef4094867cad7703648 numpy-1.24.4-cp310-cp310-win32.whl
6ee768803d8ebac43ee0a04e628a69f9 numpy-1.24.4-cp310-cp310-win_amd64.whl
0c918c16b58cb7f6773ea7d76e0bdaff numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl
20506ae8003faf097c6b3a8915b4140e numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl
902df9d5963e89d88a1939d94207857f numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
2543611d802c141c8276e4868b4d9619 numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
37b23a4e4e148d61dd3a515ac5dbf7ec numpy-1.24.4-cp311-cp311-win32.whl
25e9f6bee2b65ff2a87588e717f15165 numpy-1.24.4-cp311-cp311-win_amd64.whl
f39a0cc3655a482af7d300bcaff5978e numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl
9ed27941388fdb392e8969169f3fc600 numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl
dee3f0c7482f1dc8bd1cd27b9b028a2c numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
2cc0967af29df3caef9fb3520f14e071 numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
8572a3a0973fa78355bcb5f737745b47 numpy-1.24.4-cp38-cp38-win32.whl
771c63f2ef0d31466bbb12362a532265 numpy-1.24.4-cp38-cp38-win_amd64.whl
5713d9dc3dff287fb72121fe1960c48d numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl
4e6718e3b655219a2a733b4fa242ca32 numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl
31487f9a52ef81f8f88ec7fce8738dad numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
ea597b30187e55eb16ee31631e66f60d numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
98adbf30c67154056474001c125f6188 numpy-1.24.4-cp39-cp39-win32.whl
49c444b0e572ef45f1d92c106a36004e numpy-1.24.4-cp39-cp39-win_amd64.whl
cdddfdeac437b0f20b4e366f00b5c42e numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
3778338c15628caa3abd61e6f7bd46ec numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
e16bd49d5295dc1b01ed50d76229fb54 numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl
3f3995540a17854a29dc79f8eeecd832 numpy-1.24.4.tar.gz
SHA256
c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64 numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl
ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1 numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl
79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4 numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6 numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc numpy-1.24.4-cp310-cp310-win32.whl
b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e numpy-1.24.4-cp310-cp310-win_amd64.whl
f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810 numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl
e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254 numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl
222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7 numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5 numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d numpy-1.24.4-cp311-cp311-win32.whl
b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694 numpy-1.24.4-cp311-cp311-win_amd64.whl
1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61 numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl
04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl
a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2 numpy-1.24.4-cp38-cp38-win32.whl
692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706 numpy-1.24.4-cp38-cp38-win_amd64.whl
2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400 numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl
9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl
f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9 numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835 numpy-1.24.4-cp39-cp39-win32.whl
befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8 numpy-1.24.4-cp39-cp39-win_amd64.whl
31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2 numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl
80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463 numpy-1.24.4.tar.gz