·
1362 commits
to main
since this release
NumPy 2.2.6 Release Notes
NumPy 2.2.6 is a patch release that fixes bugs found after the 2.2.5
release. It is a mix of typing fixes/improvements as well as the normal
bug fixes and some CI maintenance.
This release supports Python versions 3.10-3.13.
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
- Ilhan Polat
- Joren Hammudoglu
- Marco Gorelli +
- Matti Picus
- Nathan Goldbaum
- Peter Hawkins
- Sayed Adel
Pull requests merged
A total of 11 pull requests were merged for this release.
- #28778: MAINT: Prepare 2.2.x for further development
- #28851: BLD: Update vendor-meson to fix module_feature conflicts arguments...
- #28852: BUG: fix heap buffer overflow in np.strings.find
- #28853: TYP: fix
NDArray[floating] + floatreturn type - #28864: BUG: fix stringdtype singleton thread safety
- #28865: MAINT: use OpenBLAS 0.3.29
- #28889: MAINT: from_dlpack thread safety fixes
- #28913: TYP: Fix non-existent
CanIndexannotation inndarray.setfield - #28915: MAINT: Avoid dereferencing/strict aliasing warnings
- #28916: BUG: Fix missing check for PyErr_Occurred() in _pyarray_correlate.
- #28966: TYP: reject complex scalar types in ndarray.__ifloordiv__
Checksums
MD5
259343f056061f6eadb2f4b8999d06d4 numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl
16fa85488e149489ce7ee044d7b0d307 numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl
f01b7aea9d2b76b1eeb49766e615d689 numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl
f2ddc2b22517f6e31caa1372b12c2499 numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl
52190e22869884f0870eb3df7a283ca9 numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
8f382b9ca6770db600edd5ea2447a925 numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
e604aae2ef6e01fb92ecc39aca0424d9 numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl
3e5626cf6d8bec95d430a7362e71691c numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl
8f4f1982837618ed7636ebd432234aeb numpy-2.2.6-cp310-cp310-win32.whl
1cfd2ac5609b4800512f0ce304e19acc numpy-2.2.6-cp310-cp310-win_amd64.whl
116203803ceeaa911dd64810b0305b4c numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl
0427961f3a70ed92b1c4d2c5516c5803 numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl
feb8104ed864d51c68984ff93f7255b5 numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl
f640cd91637f1d474947ecdb18d17ee8 numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl
2f87d921a50fe50d04bb62125f8638dd numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
7f986c33f49d5940d6d005ff7039e420 numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
0f7073c78e0aede7179c537f64856db7 numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl
7402bbedcc0b59bd6cef1c483b77dac0 numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl
93c920d40abbc10d5d056b8bfbcdad74 numpy-2.2.6-cp311-cp311-win32.whl
9162cb90bff0e4ba322f1e61da9f2fba numpy-2.2.6-cp311-cp311-win_amd64.whl
75e9fa94b0a6ef568b532f6e0773a6a7 numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl
79d8f89e82971bb2a2f61d0ef8f1a677 numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl
fb553e49196bce93af4b0d7e1e8fad1e numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl
01a338bc3a5349b5b7db4335fe879810 numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl
f37533a7ae4aa95da824b1df2786ac55 numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
2f9ac35f955d9217b6841568ce13d636 numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
df530a075c04dbef9abcac95d027c8bc numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl
4edf8f80feec739de3e08fffe97195a3 numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl
3e2664254d9a7bb5c66df2b108aaec2f numpy-2.2.6-cp312-cp312-win32.whl
ae2e39f1dba9b91d35edcd8736041df8 numpy-2.2.6-cp312-cp312-win_amd64.whl
2faa32e27b81105db53fb2fc25a54e0d numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl
0d05b1bb5af5059c8775a4f10fa0ec3d numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl
bb404027de8df58312964e26528ef591 numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl
1340a90e0f62a31691e475214f773196 numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl
954981f2846e6735798fb33c1e6fba76 numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
4e4eccd129b31fbef3ced7fb338e862e numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
c704c1c56c777bc0fc0d54bbcf9f2ddb numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl
fb459919a3433235312673bd5797ab8b numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl
9998e8ae155872c375ce6c020654176b numpy-2.2.6-cp313-cp313-win32.whl
03df8a78963b318b4dfede10b213dce4 numpy-2.2.6-cp313-cp313-win_amd64.whl
d1982e582eae2fb076942c0bbedcefe4 numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl
cbc7a48b9ca730a8d40927666651430a numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl
cd1d2271c05ccc502b78827b88ff7670 numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl
c2b4fb7464e42af240ad51c8be5fb1ba numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl
6a96c540b8df291a128bb50dfdad0ba4 numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
113d466026e770badd1061a6e1a8ca92 numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
1fce5d26d8d6d021954f717b4bad483c numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl
d980d6c4b486ad09dbf62ac5cf1b0b2a numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl
21571229d4376f3c0458d8eb1be3ba52 numpy-2.2.6-cp313-cp313t-win32.whl
4accc0387feec817565aeaba93c79173 numpy-2.2.6-cp313-cp313t-win_amd64.whl
774589ee5f842137322ff19b56a35270 numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl
f934cef42ac65a2094dd5280aa6bf9a2 numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl
0e53fbb4195726c62b8f237a4bf545e9 numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
3c96c89609022ecd27d44b12c2349a06 numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl
63d66dc1db9d603df0a84c870e703cfc numpy-2.2.6.tar.gz
SHA256
b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl
8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90 numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl
37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163 numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl
5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl
efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83 numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915 numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680 numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl
8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289 numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl
b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d numpy-2.2.6-cp310-cp310-win32.whl
f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3 numpy-2.2.6-cp310-cp310-win_amd64.whl
f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl
c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl
3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42 numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl
481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491 numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl
b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1 numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl
9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl
0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47 numpy-2.2.6-cp311-cp311-win32.whl
e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303 numpy-2.2.6-cp311-cp311-win_amd64.whl
41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl
de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl
894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3 numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl
71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282 numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl
f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87 numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249 numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49 numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl
fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl
4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4 numpy-2.2.6-cp312-cp312-win32.whl
c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2 numpy-2.2.6-cp312-cp312-win_amd64.whl
0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84 numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl
287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl
f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl
55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566 numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl
f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868 numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl
b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl
5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd numpy-2.2.6-cp313-cp313-win32.whl
b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c numpy-2.2.6-cp313-cp313-win_amd64.whl
0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6 numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl
fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl
5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40 numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl
fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8 numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl
e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571 numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl
8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1 numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl
038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff numpy-2.2.6-cp313-cp313t-win32.whl
6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06 numpy-2.2.6-cp313-cp313t-win_amd64.whl
0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl
7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl
ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543 numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00 numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl
e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd numpy-2.2.6.tar.gz