Numpy

-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1

A total of 2 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.
- \- Charles Harris
- \- Pavel Potocek +

Pull Requests Merged
- \- `8341 <https://github.com/numpy/numpy/pull/8341>`__: BUG: Fix ndarray.tofile large file corruption in append mode.
- \- `8346 <https://github.com/numpy/numpy/pull/8346>`__: TST: Fix tests in PR #8341 for NumPy 1.11.x

Checksums

MD5



f36503c6665701e1ca0fd2953b6419dd numpy-1.11.3-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
ada01f12b747c0669be00be843fde6dd numpy-1.11.3-cp27-cp27m-manylinux1_i686.whl
e3f454dc204b90015e4d8991b12069fb numpy-1.11.3-cp27-cp27m-manylinux1_x86_64.whl
cccfb3f765fa2eb4759590467a5f3fb1 numpy-1.11.3-cp27-cp27mu-manylinux1_i686.whl
479c0c8b50ab0ed4acca0a66887fe74c numpy-1.11.3-cp27-cp27mu-manylinux1_x86_64.whl
110b93cc26ca556b075316bee81f8652 numpy-1.11.3-cp27-none-win32.whl
33bfb4c5f5608d3966a6600fa3d7623c numpy-1.11.3-cp27-none-win_amd64.whl
81df8e91c06595572583cd67fcb7d68f numpy-1.11.3-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
194d8903cb3fd3b17af4093089b1a154 numpy-1.11.3-cp34-cp34m-manylinux1_i686.whl
837d9d7c911d4589172d19d0d8fb4eaf numpy-1.11.3-cp34-cp34m-manylinux1_x86_64.whl
f6b24305ab3edba245106b49b97fd9d7 numpy-1.11.3-cp34-none-win32.whl
2f3fdd08d9ad43304d67c16182ff92de numpy-1.11.3-cp34-none-win_amd64.whl
f90839ad86e3ccda9a409ce93ca1cccc numpy-1.11.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
3b2268154e405f895402cbd4cbcaad7a numpy-1.11.3-cp35-cp35m-manylinux1_i686.whl
3d6754274af48c1c19154dd370ddb569 numpy-1.11.3-cp35-cp35m-manylinux1_x86_64.whl
f8b64f46cc0e9a3fc877f24efd5e3b7c numpy-1.11.3-cp35-none-win32.whl
b1a53851dde805a233e6c4eafe116e82 numpy-1.11.3-cp35-none-win_amd64.whl
b8a9dec6901c046edaea706bad1448b1 numpy-1.11.3.tar.gz
aa70cd5bba81b78382694d654ed10036 numpy-1.11.3.zip

SHA256


5941d3dbd0afed1ecd3746c0371b2a8b79977d084004cc320c2a4cf9d88589d8 numpy-1.11.3-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
ca37b5bebcc4ebde39dfbff0bda69fdc28785a8ff21155fd7adacf473c7b40dd numpy-1.11.3-cp27-cp27m-manylinux1_i686.whl
276cbb35b69eb2f0d5f264b7c71bdc1f4e91ecd3125d32cd1839873268239892 numpy-1.11.3-cp27-cp27m-manylinux1_x86_64.whl
1226e259d796207e8ef36762dce139e7da1cc0bb78f5d54e739252acd07834e5 numpy-1.11.3-cp27-cp27mu-manylinux1_i686.whl
674d0c1318890357f27ce3a8939e643eaf55140cfb8e84730aeee1dd769b0c21 numpy-1.11.3-cp27-cp27mu-manylinux1_x86_64.whl
f8b30c76e0f805da7ea641f52c3f6bade55d50a0767f9c89c50e4c42b2a1b34c numpy-1.11.3-cp27-none-win32.whl
8cd184b0341e1db3a5619c85f875ce511ef0eb7ec01ec320116959a3de77f1b8 numpy-1.11.3-cp27-none-win_amd64.whl
f0824beb03aff58d4062508b1dd4f737f08f5d2369f25a73c2350fe081beab2c numpy-1.11.3-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
9e4228ac322743dea101a90305ee6d54b4bf82f15d6499e55d1d9cef17bccdbb numpy-1.11.3-cp34-cp34m-manylinux1_i686.whl
195604fc19a9333f3342fcad93094b6a21bc6e6b28d7bfec14d120cb4391a032 numpy-1.11.3-cp34-cp34m-manylinux1_x86_64.whl
71a6aa8b8c9f666b541208d38b30c84df1666e4cc02fb33b59086aaea10affad numpy-1.11.3-cp34-none-win32.whl
135586ce1966dbecd9494ba30cb9beca93fad323ef9264c21efc2a0b59e449d2 numpy-1.11.3-cp34-none-win_amd64.whl
cca8af884cbf220656ca2f8f9120a634e5cfb5fdcb0a21fd83ec279cc4f46654 numpy-1.11.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
ab810c942ead3f5988a7bef95dc6e85b586b6e814b83d571dfbca879e245bd45 numpy-1.11.3-cp35-cp35m-manylinux1_i686.whl
7c6eb737dc3d53977c558d57625dfbecd9900a5807ff17edd6842a102cb95c3b numpy-1.11.3-cp35-cp35m-manylinux1_x86_64.whl
ab2af03dabecb97de27badfa944c56d799774a1fa975d52083197bb81858b742 numpy-1.11.3-cp35-none-win32.whl
dd1800ec19192fd853bc255917eb3ecb34de268551b9c561f36d089023883807 numpy-1.11.3-cp35-none-win_amd64.whl
6e89f41217028452977cddb2a6c614e2210214bf3efb8494e7a9137b26985d41 numpy-1.11.3.tar.gz
2e0fc5248246a64628656fe14fcab0a959741a2820e003bd15538226501b82f7 numpy-1.11.3.zip
-----BEGIN PGP SIGNATURE-----

iQEcBAEBAgAGBQJYVz6CAAoJEGefIoN3xSR7PUsH/iK2boFNPG2x6RQ2bIvYW/eC
iDw5Aewhv5VJRch8QUDAJAVX228Zw4rKY4mxgyXMBvd2ZGL0+E6lMSlooK9r4Sz+
y+lnHyWFc1UjxgQla46TUV77l8PBMjXUKgPQl+Whp8YYwqKd5Q1ZYmDcbNwuNZNc
lw7aRcVMF2/hv02B+SYaxp2eo7VQVYf6OJQ3a2Ya8bdLUr2M5kUbVeUk4fpUhQXT
FX3E0jFlxELm3y6YkC3mxgyp9kAOOn0d2M7y9IjufOaj7F+oCg+uHMfPTK6EqnoU
7T08Hy8TSdyoUY4ueRsoj3Ns/iwaM88iR133A4UR7vbNkaIDkVhCE/isrdvwbwk=
=SJME
-----END PGP SIGNATURE-----

Update the OpenBLAS used in testing and in wheels to v0.3.18

([gh-20058](https://github.com/numpy/numpy/pull/20058))


Checksums

MD5

66757b963ad5835038b9a2a9df852c84 numpy-1.22.0-cp310-cp310-macosx_10_9_universal2.whl
86b7f3a94c09dbd6869614c4d7f9ba5e numpy-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl
5184db17d8e5e6ecdc53e2f0a6964c35 numpy-1.22.0-cp310-cp310-macosx_11_0_arm64.whl
6643e9a076cce736cfbe15face4db9db numpy-1.22.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
6efef45bf63594703c094b2ad729e648 numpy-1.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
7a1a21bb0958a3eb920deeef9e745935 numpy-1.22.0-cp310-cp310-win_amd64.whl
45241fb5f31ea46e2b6f1321a63c8e1c numpy-1.22.0-cp38-cp38-macosx_10_9_universal2.whl
472f24a5d35116634fcc57e9bda899bc numpy-1.22.0-cp38-cp38-macosx_10_9_x86_64.whl
6c15cf7847b20101ae281ade6121b79e numpy-1.22.0-cp38-cp38-macosx_11_0_arm64.whl
313f0fd99a899a7465511c1418e1031f numpy-1.22.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
9ae6ecde0cbeadd2a9d7b8ae54285863 numpy-1.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
0f31a7b9e128b0cdafecf98cf1301fc0 numpy-1.22.0-cp38-cp38-win32.whl
f4b45579cf532ea632b890b1df387081 numpy-1.22.0-cp38-cp38-win_amd64.whl
2cb27112b11c16f700e6019f5fd36408 numpy-1.22.0-cp39-cp39-macosx_10_9_universal2.whl
4554a5797a4cb787b5169a8f5482fb95 numpy-1.22.0-cp39-cp39-macosx_10_9_x86_64.whl
3780decd94837da6f0816f2feaace9c2 numpy-1.22.0-cp39-cp39-macosx_11_0_arm64.whl
6e519dd5205510dfebcadc6f7fdf9738 numpy-1.22.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
89d455bf290f459a70c57620f02d5b69 numpy-1.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
6425f8d7dc779a54b8074e198cea43c9 numpy-1.22.0-cp39-cp39-win32.whl
1b5c670328146975b21b54fa5ef8ec4c numpy-1.22.0-cp39-cp39-win_amd64.whl
05d842127ca85cca12fed3a26b0f5177 numpy-1.22.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ab751b8d4195f91ae61a402184d16d18 numpy-1.22.0.tar.gz
252de134862a27bd66705d29622edbfe numpy-1.22.0.zip

SHA256

3d22662b4b10112c545c91a0741f2436f8ca979ab3d69d03d19322aa970f9695 numpy-1.22.0-cp310-cp310-macosx_10_9_universal2.whl
11a1f3816ea82eed4178102c56281782690ab5993251fdfd75039aad4d20385f numpy-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl
5dc65644f75a4c2970f21394ad8bea1a844104f0fe01f278631be1c7eae27226 numpy-1.22.0-cp310-cp310-macosx_11_0_arm64.whl
42c16cec1c8cf2728f1d539bd55aaa9d6bb48a7de2f41eb944697293ef65a559 numpy-1.22.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
a97e82c39d9856fe7d4f9b86d8a1e66eff99cf3a8b7ba48202f659703d27c46f numpy-1.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
e41e8951749c4b5c9a2dc5fdbc1a4eec6ab2a140fdae9b460b0f557eed870f4d numpy-1.22.0-cp310-cp310-win_amd64.whl
bece0a4a49e60e472a6d1f70ac6cdea00f9ab80ff01132f96bd970cdd8a9e5a9 numpy-1.22.0-cp38-cp38-macosx_10_9_universal2.whl
818b9be7900e8dc23e013a92779135623476f44a0de58b40c32a15368c01d471 numpy-1.22.0-cp38-cp38-macosx_10_9_x86_64.whl
47ee7a839f5885bc0c63a74aabb91f6f40d7d7b639253768c4199b37aede7982 numpy-1.22.0-cp38-cp38-macosx_11_0_arm64.whl
a024181d7aef0004d76fb3bce2a4c9f2e67a609a9e2a6ff2571d30e9976aa383 numpy-1.22.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
f71d57cc8645f14816ae249407d309be250ad8de93ef61d9709b45a0ddf4050c numpy-1.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
283d9de87c0133ef98f93dfc09fad3fb382f2a15580de75c02b5bb36a5a159a5 numpy-1.22.0-cp38-cp38-win32.whl
2762331de395739c91f1abb88041f94a080cb1143aeec791b3b223976228af3f numpy-1.22.0-cp38-cp38-win_amd64.whl
76ba7c40e80f9dc815c5e896330700fd6e20814e69da9c1267d65a4d051080f1 numpy-1.22.0-cp39-cp39-macosx_10_9_universal2.whl
0cfe07133fd00b27edee5e6385e333e9eeb010607e8a46e1cd673f05f8596595 numpy-1.22.0-cp39-cp39-macosx_10_9_x86_64.whl
6ed0d073a9c54ac40c41a9c2d53fcc3d4d4ed607670b9e7b0de1ba13b4cbfe6f numpy-1.22.0-cp39-cp39-macosx_11_0_arm64.whl
41388e32e40b41dd56eb37fcaa7488b2b47b0adf77c66154d6b89622c110dfe9 numpy-1.22.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
b55b953a1bdb465f4dc181758570d321db4ac23005f90ffd2b434cc6609a63dd numpy-1.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
5a311ee4d983c487a0ab546708edbdd759393a3dc9cd30305170149fedd23c88 numpy-1.22.0-cp39-cp39-win32.whl
a97a954a8c2f046d3817c2bce16e3c7e9a9c2afffaf0400f5c16df5172a67c9c numpy-1.22.0-cp39-cp39-win_amd64.whl
bb02929b0d6bfab4c48a79bd805bd7419114606947ec8284476167415171f55b numpy-1.22.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
f2be14ba396780a6f662b8ba1a24466c9cf18a6a386174f614668e58387a13d7 numpy-1.22.0.tar.gz
a955e4128ac36797aaffd49ab44ec74a71c11d6938df83b1285492d277db5397 numpy-1.22.0.zip

Update the OpenBLAS used in testing and in wheels to v0.3.17

([gh-19462](https://github.com/numpy/numpy/pull/19462))

Checksums
---------

MD5

a70dfdbb1e1dab6d5c10c5534c523288 numpy-1.22.0rc1-cp310-cp310-macosx_10_9_universal2.whl
2cccddd30f5ec841d4ce90530f7762b0 numpy-1.22.0rc1-cp310-cp310-macosx_10_9_x86_64.whl
7b46c1b0f8175b03d0197059c1d3a5d3 numpy-1.22.0rc1-cp310-cp310-macosx_11_0_arm64.whl
7adb43de081457fb9733ef4570a314e9 numpy-1.22.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
517ec9dede8b479ad986a14912fcc912 numpy-1.22.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
0379b78e387565067489943ca270ba59 numpy-1.22.0rc1-cp310-cp310-win_amd64.whl
f582541b1e4d322519d4f091a859b2bc numpy-1.22.0rc1-cp38-cp38-macosx_10_9_universal2.whl
5239cc440f1353555c9e0273d4e68c91 numpy-1.22.0rc1-cp38-cp38-macosx_10_9_x86_64.whl
1a12742a23205cae3d2d5fda5cd8f478 numpy-1.22.0rc1-cp38-cp38-macosx_11_0_arm64.whl
4a45e2633361c367372d6c98d4e13010 numpy-1.22.0rc1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
15cf27d4ac60c720aa3f36308d90deb2 numpy-1.22.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
7cc2ffcfbe0f11234f7ba6a09e32980e numpy-1.22.0rc1-cp38-cp38-win32.whl
64104bfd50dee174344d02506ab4c621 numpy-1.22.0rc1-cp38-cp38-win_amd64.whl
74b7c7f59058000d8437476ab880d943 numpy-1.22.0rc1-cp39-cp39-macosx_10_9_universal2.whl
7850ed6e906589c53b6e7187220f8dcc numpy-1.22.0rc1-cp39-cp39-macosx_10_9_x86_64.whl
2a78c0df6943528302b3141e4b9b594b numpy-1.22.0rc1-cp39-cp39-macosx_11_0_arm64.whl
1e65939095e4e383de6b8e257136a7a9 numpy-1.22.0rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
281f3e861afbff12ae9d0b32d95d89bb numpy-1.22.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
f8b7d2e3b3b61894051e258b99cbb7b3 numpy-1.22.0rc1-cp39-cp39-win32.whl
5037a963c1486d9ce2eaa3adf84ab560 numpy-1.22.0rc1-cp39-cp39-win_amd64.whl
f82bd053250eee5dd4f35d2e4b8a8e64 numpy-1.22.0rc1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
17c532b2ccddb54595099c76ea4322b4 numpy-1.22.0rc1.tar.gz
f1c8568e6df223541d0c647044008949 numpy-1.22.0rc1.zip

SHA256

b00d9bf43cc8975cf5e0c211d218e75a3f5ce1ae34dc84d8a489c28a0dba7848 numpy-1.22.0rc1-cp310-cp310-macosx_10_9_universal2.whl
eb6dd744a9f94b424bf70d62b7874798ea95b6b58fb63ec651b69a46872e5bd5 numpy-1.22.0rc1-cp310-cp310-macosx_10_9_x86_64.whl
6759e6dafd96454be2d6dd80674293322191639400832688cd234c5f483ce1a9 numpy-1.22.0rc1-cp310-cp310-macosx_11_0_arm64.whl
2242fa31413e40847016234485f228fa5e082b0c555d3db65fe9aa4efcfb8d8d numpy-1.22.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
d0be0eb7df39f0e0732d73250de55e1dcc8086c23db970d5eab85dbf0713502d numpy-1.22.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ccf027e3bbcd06b5c26a0196ddfc24c4d09d2001cc5d38738efff9d9ac8dee58 numpy-1.22.0rc1-cp310-cp310-win_amd64.whl
8c5016694b9bda77cda32ebfdde34d2246978ed4c49e9baab26bcf38621b7390 numpy-1.22.0rc1-cp38-cp38-macosx_10_9_universal2.whl
011e4c430f2e2739e0d182cb7e2b5d47adc46a8db49a788e5798805b7878c4ba numpy-1.22.0rc1-cp38-cp38-macosx_10_9_x86_64.whl
b0ed56b9d7535d654d2a0478333cc08d1b9849767eafd07e1f6a3d8d90a2cad0 numpy-1.22.0rc1-cp38-cp38-macosx_11_0_arm64.whl
6730a1495f1acedd97e82e32cca4d8dbe07b89f01f395ca02ca4a9e110d9519d numpy-1.22.0rc1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
56109e7e9b205439990e90682163d8155cf5743efe65c30221ef3834621ffd3f numpy-1.22.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
7dbfa0abe053afbcb9e61ec1557556e4e30c3e4b5df4ec7849bf245e8c09feec numpy-1.22.0rc1-cp38-cp38-win32.whl
013fa3500a6e5b3ba51401056aa9c41d83a7e737959d15f288d410f26cc33896 numpy-1.22.0rc1-cp38-cp38-win_amd64.whl
a2dd58beb8a8266d704a76692e8eb76ff20f5b2940db7aeee216c2dbf226e5c6 numpy-1.22.0rc1-cp39-cp39-macosx_10_9_universal2.whl
e48368972e0999af098e0a6e9a3573895fd4c3b0b2d8c5cf215b17910cd6c124 numpy-1.22.0rc1-cp39-cp39-macosx_10_9_x86_64.whl
2934fb435d85341efb40f9db637a203a042300afdaa49f833608df21a5d8ae30 numpy-1.22.0rc1-cp39-cp39-macosx_11_0_arm64.whl
e981667470ae74f06cfd0d54c5fa9cd88661a27eccaac2cba505039f0b29dc2e numpy-1.22.0rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
5e56515f5abb493bd32d2196ecd3ce794792419adfb7d8b4cccd4ddaf74ab924 numpy-1.22.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
21613822dd597d4645c586ac21910fded5344f843410dace91c129a38c31d8be numpy-1.22.0rc1-cp39-cp39-win32.whl
91bb1e29d74a90861e878b0c7bc941a1c0ac051cb4b171dc242e66953c95ca1e numpy-1.22.0rc1-cp39-cp39-win_amd64.whl
0ebb646ef72a2348036ed1692e6bb3f3dd4f8d026681b7168a9ac988d9832c27 numpy-1.22.0rc1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
d54616321316987e69cb49d76cec8750d9d0160a32f5f5e71ff3f94b010ebc5e numpy-1.22.0rc1.tar.gz
bc991b3f8ea7c0f6703df2bc23c098cfe6f1a3a5e8a3a901eb6a5619275d53ff numpy-1.22.0rc1.zip