Skip to content

v2.3.2 (Jul 24, 2025)

Latest
Compare
Choose a tag to compare
@charris charris released this 24 Jul 21:44
· 325 commits to main since this release
v2.3.2
bc5e4f8

NumPy 2.3.2 Release Notes

The NumPy 2.3.2 release is a patch release with a number of bug fixes
and maintenance updates. The highlights are:

  • Wheels for Python 3.14.0rc1
  • PyPy updated to the latest stable release
  • OpenBLAS updated to 0.3.30

This release supports Python versions 3.11-3.14

Contributors

A total of 9 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

  • !DWesl
  • Charles Harris
  • Joren Hammudoglu
  • Maanas Arora
  • Marco Edward Gorelli
  • Matti Picus
  • Nathan Goldbaum
  • Sebastian Berg
  • kostayScr +

Pull requests merged

A total of 16 pull requests were merged for this release.

  • #29256: MAINT: Prepare 2.3.x for further development
  • #29283: TYP: Work around a mypy issue with bool arrays (#29248)
  • #29284: BUG: fix fencepost error in StringDType internals
  • #29287: BUG: handle case in mapiter where descriptors might get replaced...
  • #29350: BUG: Fix shape error path in array-interface
  • #29412: BUG: Allow reading non-npy files in npz and add test
  • #29413: TST: Avoid uninitialized values in test (#29341)
  • #29414: BUG: Fix reference leakage for output arrays in reduction functions
  • #29415: BUG: fix casting issue in center, ljust, rjust, and zfill (#29369)
  • #29416: TYP: Fix overloads in np.char.array and np.char.asarray...
  • #29417: BUG: Any dtype should call square on arr \*\* 2 (#29392)
  • #29424: MAINT: use a stable pypy release in CI
  • #29425: MAINT: Support python 314rc1
  • #29429: MAINT: Update highway to match main.
  • #29430: BLD: use github to build macos-arm64 wheels with OpenBLAS and...
  • #29437: BUG: fix datetime/timedelta hash memory leak (#29411)

Checksums

MD5

e35c637ea9fba77eabfdf70e26eaa16d  numpy-2.3.2-cp311-cp311-macosx_10_9_x86_64.whl
3dede42d11c843cfacff422f65a80e47  numpy-2.3.2-cp311-cp311-macosx_11_0_arm64.whl
f5c485a43210eb3541b254c8c9d6ac9e  numpy-2.3.2-cp311-cp311-macosx_14_0_arm64.whl
658950eb37e19b42920635ee60830a1d  numpy-2.3.2-cp311-cp311-macosx_14_0_x86_64.whl
9a864a280798829cc522521bc5d9c7e2  numpy-2.3.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
085e1ff7746d327a1320672ab86966c3  numpy-2.3.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
6acefa06c38bc616352b76174d4f19d2  numpy-2.3.2-cp311-cp311-musllinux_1_2_aarch64.whl
4dd3469970dbfba60dad41b9923c5a5a  numpy-2.3.2-cp311-cp311-musllinux_1_2_x86_64.whl
ad090139b8b872a9157b92c840566c5e  numpy-2.3.2-cp311-cp311-win32.whl
09b023f808432e60633e36a13630dc13  numpy-2.3.2-cp311-cp311-win_amd64.whl
c80f2a1c4c829ccb6745a6d0803b7177  numpy-2.3.2-cp311-cp311-win_arm64.whl
307fc28e0c630dbc5a6ff4051ee9ec6c  numpy-2.3.2-cp312-cp312-macosx_10_13_x86_64.whl
4af1ffb81bdec235aef1b9bdf7c1566d  numpy-2.3.2-cp312-cp312-macosx_11_0_arm64.whl
8003e8df1badaffee163a603bf05656b  numpy-2.3.2-cp312-cp312-macosx_14_0_arm64.whl
e703fab1c371fd27389401caa34a5cbd  numpy-2.3.2-cp312-cp312-macosx_14_0_x86_64.whl
5fdc228f15ec5de78b89c7aa4c137019  numpy-2.3.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
f3bc10b89911c09777c4c5d9752f35b0  numpy-2.3.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
5d0128aa0f6aa3a5122364a727a72eba  numpy-2.3.2-cp312-cp312-musllinux_1_2_aarch64.whl
ef392070c44709321d7f87ab15bbd674  numpy-2.3.2-cp312-cp312-musllinux_1_2_x86_64.whl
909e05dcd1164cc02d5fccc1cc6c9ca6  numpy-2.3.2-cp312-cp312-win32.whl
3ba0b657682fc54d9433b4d7244c9264  numpy-2.3.2-cp312-cp312-win_amd64.whl
05755e8c591b1ac2fff05a06d76ac414  numpy-2.3.2-cp312-cp312-win_arm64.whl
c1e323fa1986bc99ae96c46126a30f93  numpy-2.3.2-cp313-cp313-macosx_10_13_x86_64.whl
9a89327ef3550581017ea6e2a47c1a8e  numpy-2.3.2-cp313-cp313-macosx_11_0_arm64.whl
3c7236116911c5c19de0091d7ac81f65  numpy-2.3.2-cp313-cp313-macosx_14_0_arm64.whl
1809c7adafae6492741864cf4dda7d1e  numpy-2.3.2-cp313-cp313-macosx_14_0_x86_64.whl
ee68f94ec5f9c0c7f9423d7329bc085e  numpy-2.3.2-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
24c4e95f0a615356787e2920378e5c6f  numpy-2.3.2-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
5c53a2c915d177b7c305c0386ba21b43  numpy-2.3.2-cp313-cp313-musllinux_1_2_aarch64.whl
c4607ea441320a0078d942ca21ef2411  numpy-2.3.2-cp313-cp313-musllinux_1_2_x86_64.whl
09f2fdeb35d952751ba269ca5fa77e7a  numpy-2.3.2-cp313-cp313-win32.whl
47a7326544ce192df844b3e9750c7704  numpy-2.3.2-cp313-cp313-win_amd64.whl
9b5adab8ee4eb97ccf90d73d63671db4  numpy-2.3.2-cp313-cp313-win_arm64.whl
7169baf4160b9a75790650cef23a73e1  numpy-2.3.2-cp313-cp313t-macosx_10_13_x86_64.whl
0338f2a78981d84d84e5f693ed6112d5  numpy-2.3.2-cp313-cp313t-macosx_11_0_arm64.whl
b0c1c28add9716f7cee433d53fb43067  numpy-2.3.2-cp313-cp313t-macosx_14_0_arm64.whl
d2d8d43c535184095550420169858b90  numpy-2.3.2-cp313-cp313t-macosx_14_0_x86_64.whl
745bb6930958f4d7980cd705621abc25  numpy-2.3.2-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
96412f8c9687d468e260aacdfb9cca02  numpy-2.3.2-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
11ce971fe997bf5c0784516db85891ff  numpy-2.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl
e71ba272e9db74bc753ca056e76fdf5b  numpy-2.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl
82feb6822f2cf04a9edf38cf7f7d4806  numpy-2.3.2-cp313-cp313t-win32.whl
c6c8a1a2e94a9fc2dad9d161a6666e54  numpy-2.3.2-cp313-cp313t-win_amd64.whl
29e65f132c4a916214a0e82bca214717  numpy-2.3.2-cp313-cp313t-win_arm64.whl
2b99d343001495b182027843bf2148b2  numpy-2.3.2-cp314-cp314-macosx_10_13_x86_64.whl
40d04ac18cd9db3c380224d3d5607770  numpy-2.3.2-cp314-cp314-macosx_11_0_arm64.whl
871631874c6839719d1c1b3ad81835cd  numpy-2.3.2-cp314-cp314-macosx_14_0_arm64.whl
4d4098888f19de85dd18646c2f955cd2  numpy-2.3.2-cp314-cp314-macosx_14_0_x86_64.whl
813e47e3c07cd28bf0458a1e513d6619  numpy-2.3.2-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
1fe080566baca813e6ac4635011a408a  numpy-2.3.2-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
bd44ab38b53a4b5b6130b6f01ffaf5fa  numpy-2.3.2-cp314-cp314-musllinux_1_2_aarch64.whl
f2fda217bec39ede344b42fef2cbd9e5  numpy-2.3.2-cp314-cp314-musllinux_1_2_x86_64.whl
c02218de0d0666769c91513eafaf251f  numpy-2.3.2-cp314-cp314-win32.whl
d419eb806a6f5debb366d4bcf0f5bde0  numpy-2.3.2-cp314-cp314-win_amd64.whl
851529ffdf2b0d4b66eb1ac99c24da3e  numpy-2.3.2-cp314-cp314-win_arm64.whl
2306e8b73fcd2d46116c6a95034e4d3a  numpy-2.3.2-cp314-cp314t-macosx_10_13_x86_64.whl
b4d4ce3339cb9f0b0f2b339db803f39c  numpy-2.3.2-cp314-cp314t-macosx_11_0_arm64.whl
6ae336ac461d5d89811c8a236b442842  numpy-2.3.2-cp314-cp314t-macosx_14_0_arm64.whl
351f35dd00bfb35e6cad2447a14c7cdf  numpy-2.3.2-cp314-cp314t-macosx_14_0_x86_64.whl
0e0b26b34024f24a5f59809a1778ace0  numpy-2.3.2-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
bc77a7f5826bb0a38154d31d8444abb7  numpy-2.3.2-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
cd1e335e2a8437339475db12ee30f26d  numpy-2.3.2-cp314-cp314t-musllinux_1_2_aarch64.whl
5c8093e713bd7e5f8512458d53fefeed  numpy-2.3.2-cp314-cp314t-musllinux_1_2_x86_64.whl
66125a7e4e311fc2dedfa8c25ee577f2  numpy-2.3.2-cp314-cp314t-win32.whl
97713f41a5d4a08e8ed3d629d07678d3  numpy-2.3.2-cp314-cp314t-win_amd64.whl
848c4c409b643c2b42c431f51b310095  numpy-2.3.2-cp314-cp314t-win_arm64.whl
e240eed2fc098f7a0ae9813abead8a05  numpy-2.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl
7e46ebe46530596019ae6b5db8a7a564  numpy-2.3.2-pp311-pypy311_pp73-macosx_11_0_arm64.whl
82077182e608a0d366eba700902463b5  numpy-2.3.2-pp311-pypy311_pp73-macosx_14_0_arm64.whl
67db17064907cd22a74676b50de1ab6d  numpy-2.3.2-pp311-pypy311_pp73-macosx_14_0_x86_64.whl
6d59903ecd732d53dd230ca59cdc2c34  numpy-2.3.2-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
baae8d6875e1de409ffef875896c4b4f  numpy-2.3.2-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
5d92d6c39f2f0b28149ed15437b13cf7  numpy-2.3.2-pp311-pypy311_pp73-win_amd64.whl
f8d3d3b3ecd2b6e98889e88f6bbdc1a3  numpy-2.3.2.tar.gz

SHA256

852ae5bed3478b92f093e30f785c98e0cb62fa0a939ed057c31716e18a7a22b9  numpy-2.3.2-cp311-cp311-macosx_10_9_x86_64.whl
7a0e27186e781a69959d0230dd9909b5e26024f8da10683bd6344baea1885168  numpy-2.3.2-cp311-cp311-macosx_11_0_arm64.whl
f0a1a8476ad77a228e41619af2fa9505cf69df928e9aaa165746584ea17fed2b  numpy-2.3.2-cp311-cp311-macosx_14_0_arm64.whl
cbc95b3813920145032412f7e33d12080f11dc776262df1712e1638207dde9e8  numpy-2.3.2-cp311-cp311-macosx_14_0_x86_64.whl
f75018be4980a7324edc5930fe39aa391d5734531b1926968605416ff58c332d  numpy-2.3.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
20b8200721840f5621b7bd03f8dcd78de33ec522fc40dc2641aa09537df010c3  numpy-2.3.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
1f91e5c028504660d606340a084db4b216567ded1056ea2b4be4f9d10b67197f  numpy-2.3.2-cp311-cp311-musllinux_1_2_aarch64.whl
fb1752a3bb9a3ad2d6b090b88a9a0ae1cd6f004ef95f75825e2f382c183b2097  numpy-2.3.2-cp311-cp311-musllinux_1_2_x86_64.whl
4ae6863868aaee2f57503c7a5052b3a2807cf7a3914475e637a0ecd366ced220  numpy-2.3.2-cp311-cp311-win32.whl
240259d6564f1c65424bcd10f435145a7644a65a6811cfc3201c4a429ba79170  numpy-2.3.2-cp311-cp311-win_amd64.whl
4209f874d45f921bde2cff1ffcd8a3695f545ad2ffbef6d3d3c6768162efab89  numpy-2.3.2-cp311-cp311-win_arm64.whl
bc3186bea41fae9d8e90c2b4fb5f0a1f5a690682da79b92574d63f56b529080b  numpy-2.3.2-cp312-cp312-macosx_10_13_x86_64.whl
2f4f0215edb189048a3c03bd5b19345bdfa7b45a7a6f72ae5945d2a28272727f  numpy-2.3.2-cp312-cp312-macosx_11_0_arm64.whl
8b1224a734cd509f70816455c3cffe13a4f599b1bf7130f913ba0e2c0b2006c0  numpy-2.3.2-cp312-cp312-macosx_14_0_arm64.whl
3dcf02866b977a38ba3ec10215220609ab9667378a9e2150615673f3ffd6c73b  numpy-2.3.2-cp312-cp312-macosx_14_0_x86_64.whl
572d5512df5470f50ada8d1972c5f1082d9a0b7aa5944db8084077570cf98370  numpy-2.3.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
8145dd6d10df13c559d1e4314df29695613575183fa2e2d11fac4c208c8a1f73  numpy-2.3.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
103ea7063fa624af04a791c39f97070bf93b96d7af7eb23530cd087dc8dbe9dc  numpy-2.3.2-cp312-cp312-musllinux_1_2_aarch64.whl
fc927d7f289d14f5e037be917539620603294454130b6de200091e23d27dc9be  numpy-2.3.2-cp312-cp312-musllinux_1_2_x86_64.whl
d95f59afe7f808c103be692175008bab926b59309ade3e6d25009e9a171f7036  numpy-2.3.2-cp312-cp312-win32.whl
9e196ade2400c0c737d93465327d1ae7c06c7cb8a1756121ebf54b06ca183c7f  numpy-2.3.2-cp312-cp312-win_amd64.whl
ee807923782faaf60d0d7331f5e86da7d5e3079e28b291973c545476c2b00d07  numpy-2.3.2-cp312-cp312-win_arm64.whl
c8d9727f5316a256425892b043736d63e89ed15bbfe6556c5ff4d9d4448ff3b3  numpy-2.3.2-cp313-cp313-macosx_10_13_x86_64.whl
efc81393f25f14d11c9d161e46e6ee348637c0a1e8a54bf9dedc472a3fae993b  numpy-2.3.2-cp313-cp313-macosx_11_0_arm64.whl
dd937f088a2df683cbb79dda9a772b62a3e5a8a7e76690612c2737f38c6ef1b6  numpy-2.3.2-cp313-cp313-macosx_14_0_arm64.whl
11e58218c0c46c80509186e460d79fbdc9ca1eb8d8aee39d8f2dc768eb781089  numpy-2.3.2-cp313-cp313-macosx_14_0_x86_64.whl
5ad4ebcb683a1f99f4f392cc522ee20a18b2bb12a2c1c42c3d48d5a1adc9d3d2  numpy-2.3.2-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
938065908d1d869c7d75d8ec45f735a034771c6ea07088867f713d1cd3bbbe4f  numpy-2.3.2-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
66459dccc65d8ec98cc7df61307b64bf9e08101f9598755d42d8ae65d9a7a6ee  numpy-2.3.2-cp313-cp313-musllinux_1_2_aarch64.whl
a7af9ed2aa9ec5950daf05bb11abc4076a108bd3c7db9aa7251d5f107079b6a6  numpy-2.3.2-cp313-cp313-musllinux_1_2_x86_64.whl
906a30249315f9c8e17b085cc5f87d3f369b35fedd0051d4a84686967bdbbd0b  numpy-2.3.2-cp313-cp313-win32.whl
c63d95dc9d67b676e9108fe0d2182987ccb0f11933c1e8959f42fa0da8d4fa56  numpy-2.3.2-cp313-cp313-win_amd64.whl
b05a89f2fb84d21235f93de47129dd4f11c16f64c87c33f5e284e6a3a54e43f2  numpy-2.3.2-cp313-cp313-win_arm64.whl
4e6ecfeddfa83b02318f4d84acf15fbdbf9ded18e46989a15a8b6995dfbf85ab  numpy-2.3.2-cp313-cp313t-macosx_10_13_x86_64.whl
508b0eada3eded10a3b55725b40806a4b855961040180028f52580c4729916a2  numpy-2.3.2-cp313-cp313t-macosx_11_0_arm64.whl
754d6755d9a7588bdc6ac47dc4ee97867271b17cee39cb87aef079574366db0a  numpy-2.3.2-cp313-cp313t-macosx_14_0_arm64.whl
a9f66e7d2b2d7712410d3bc5684149040ef5f19856f20277cd17ea83e5006286  numpy-2.3.2-cp313-cp313t-macosx_14_0_x86_64.whl
de6ea4e5a65d5a90c7d286ddff2b87f3f4ad61faa3db8dabe936b34c2275b6f8  numpy-2.3.2-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
a3ef07ec8cbc8fc9e369c8dcd52019510c12da4de81367d8b20bc692aa07573a  numpy-2.3.2-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
27c9f90e7481275c7800dc9c24b7cc40ace3fdb970ae4d21eaff983a32f70c91  numpy-2.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl
07b62978075b67eee4065b166d000d457c82a1efe726cce608b9db9dd66a73a5  numpy-2.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl
c771cfac34a4f2c0de8e8c97312d07d64fd8f8ed45bc9f5726a7e947270152b5  numpy-2.3.2-cp313-cp313t-win32.whl
72dbebb2dcc8305c431b2836bcc66af967df91be793d63a24e3d9b741374c450  numpy-2.3.2-cp313-cp313t-win_amd64.whl
72c6df2267e926a6d5286b0a6d556ebe49eae261062059317837fda12ddf0c1a  numpy-2.3.2-cp313-cp313t-win_arm64.whl
448a66d052d0cf14ce9865d159bfc403282c9bc7bb2a31b03cc18b651eca8b1a  numpy-2.3.2-cp314-cp314-macosx_10_13_x86_64.whl
546aaf78e81b4081b2eba1d105c3b34064783027a06b3ab20b6eba21fb64132b  numpy-2.3.2-cp314-cp314-macosx_11_0_arm64.whl
87c930d52f45df092f7578889711a0768094debf73cfcde105e2d66954358125  numpy-2.3.2-cp314-cp314-macosx_14_0_arm64.whl
8dc082ea901a62edb8f59713c6a7e28a85daddcb67454c839de57656478f5b19  numpy-2.3.2-cp314-cp314-macosx_14_0_x86_64.whl
af58de8745f7fa9ca1c0c7c943616c6fe28e75d0c81f5c295810e3c83b5be92f  numpy-2.3.2-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
fed5527c4cf10f16c6d0b6bee1f89958bccb0ad2522c8cadc2efd318bcd545f5  numpy-2.3.2-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
095737ed986e00393ec18ec0b21b47c22889ae4b0cd2d5e88342e08b01141f58  numpy-2.3.2-cp314-cp314-musllinux_1_2_aarch64.whl
b5e40e80299607f597e1a8a247ff8d71d79c5b52baa11cc1cce30aa92d2da6e0  numpy-2.3.2-cp314-cp314-musllinux_1_2_x86_64.whl
7d6e390423cc1f76e1b8108c9b6889d20a7a1f59d9a60cac4a050fa734d6c1e2  numpy-2.3.2-cp314-cp314-win32.whl
b9d0878b21e3918d76d2209c924ebb272340da1fb51abc00f986c258cd5e957b  numpy-2.3.2-cp314-cp314-win_amd64.whl
2738534837c6a1d0c39340a190177d7d66fdf432894f469728da901f8f6dc910  numpy-2.3.2-cp314-cp314-win_arm64.whl
4d002ecf7c9b53240be3bb69d80f86ddbd34078bae04d87be81c1f58466f264e  numpy-2.3.2-cp314-cp314t-macosx_10_13_x86_64.whl
293b2192c6bcce487dbc6326de5853787f870aeb6c43f8f9c6496db5b1781e45  numpy-2.3.2-cp314-cp314t-macosx_11_0_arm64.whl
0a4f2021a6da53a0d580d6ef5db29947025ae8b35b3250141805ea9a32bbe86b  numpy-2.3.2-cp314-cp314t-macosx_14_0_arm64.whl
9c144440db4bf3bb6372d2c3e49834cc0ff7bb4c24975ab33e01199e645416f2  numpy-2.3.2-cp314-cp314t-macosx_14_0_x86_64.whl
f92d6c2a8535dc4fe4419562294ff957f83a16ebdec66df0805e473ffaad8bd0  numpy-2.3.2-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
cefc2219baa48e468e3db7e706305fcd0c095534a192a08f31e98d83a7d45fb0  numpy-2.3.2-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
76c3e9501ceb50b2ff3824c3589d5d1ab4ac857b0ee3f8f49629d0de55ecf7c2  numpy-2.3.2-cp314-cp314t-musllinux_1_2_aarch64.whl
122bf5ed9a0221b3419672493878ba4967121514b1d7d4656a7580cd11dddcbf  numpy-2.3.2-cp314-cp314t-musllinux_1_2_x86_64.whl
6f1ae3dcb840edccc45af496f312528c15b1f79ac318169d094e85e4bb35fdf1  numpy-2.3.2-cp314-cp314t-win32.whl
087ffc25890d89a43536f75c5fe8770922008758e8eeeef61733957041ed2f9b  numpy-2.3.2-cp314-cp314t-win_amd64.whl
092aeb3449833ea9c0bf0089d70c29ae480685dd2377ec9cdbbb620257f84631  numpy-2.3.2-cp314-cp314t-win_arm64.whl
14a91ebac98813a49bc6aa1a0dfc09513dcec1d97eaf31ca21a87221a1cdcb15  numpy-2.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl
71669b5daae692189540cffc4c439468d35a3f84f0c88b078ecd94337f6cb0ec  numpy-2.3.2-pp311-pypy311_pp73-macosx_11_0_arm64.whl
69779198d9caee6e547adb933941ed7520f896fd9656834c300bdf4dd8642712  numpy-2.3.2-pp311-pypy311_pp73-macosx_14_0_arm64.whl
2c3271cc4097beb5a60f010bcc1cc204b300bb3eafb4399376418a83a1c6373c  numpy-2.3.2-pp311-pypy311_pp73-macosx_14_0_x86_64.whl
8446acd11fe3dc1830568c941d44449fd5cb83068e5c70bd5a470d323d448296  numpy-2.3.2-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
aa098a5ab53fa407fded5870865c6275a5cd4101cfdef8d6fafc48286a96e981  numpy-2.3.2-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
6936aff90dda378c09bea075af0d9c675fe3a977a9d2402f95a87f440f59f619  numpy-2.3.2-pp311-pypy311_pp73-win_amd64.whl
e0486a11ec30cdecb53f184d496d1c6a20786c81e55e41640270130056f8ee48  numpy-2.3.2.tar.gz