Skip to main content

Convex optimization package

Project description

CVXOPT

Python Software for Convex Optimization

Release info

License GitHub release PyPI Anaconda-Server Badge

Related projects

Build status

Linux build Actions Status macOS build Actions Status Windows build Actions Status

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cvxopt-1.3.3.tar.gz (8.9 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

cvxopt-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl (17.0 MB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ x86-64

cvxopt-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl (10.0 MB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ ARM64

cvxopt-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (21.4 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

cvxopt-1.3.3-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (13.9 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

cvxopt-1.3.3-cp314-cp314-win_amd64.whl (13.8 MB view details)

Uploaded CPython 3.14Windows x86-64

cvxopt-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ x86-64

cvxopt-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl (10.0 MB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ ARM64

cvxopt-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (21.3 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

cvxopt-1.3.3-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (13.9 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

cvxopt-1.3.3-cp314-cp314-macosx_26_0_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.14macOS 26.0+ x86-64

cvxopt-1.3.3-cp314-cp314-macosx_15_0_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.14macOS 15.0+ x86-64

cvxopt-1.3.3-cp314-cp314-macosx_15_0_arm64.whl (4.7 MB view details)

Uploaded CPython 3.14macOS 15.0+ ARM64

cvxopt-1.3.3-cp313-cp313-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.13Windows x86-64

cvxopt-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

cvxopt-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl (10.0 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ ARM64

cvxopt-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (21.3 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

cvxopt-1.3.3-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (13.9 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

cvxopt-1.3.3-cp313-cp313-macosx_26_0_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.13macOS 26.0+ x86-64

cvxopt-1.3.3-cp313-cp313-macosx_15_0_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.13macOS 15.0+ x86-64

cvxopt-1.3.3-cp313-cp313-macosx_15_0_arm64.whl (4.7 MB view details)

Uploaded CPython 3.13macOS 15.0+ ARM64

cvxopt-1.3.3-cp312-cp312-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.12Windows x86-64

cvxopt-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

cvxopt-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl (10.0 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ ARM64

cvxopt-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (21.3 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

cvxopt-1.3.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (13.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

cvxopt-1.3.3-cp312-cp312-macosx_26_0_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.12macOS 26.0+ x86-64

cvxopt-1.3.3-cp312-cp312-macosx_15_0_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.12macOS 15.0+ x86-64

cvxopt-1.3.3-cp312-cp312-macosx_15_0_arm64.whl (4.7 MB view details)

Uploaded CPython 3.12macOS 15.0+ ARM64

cvxopt-1.3.3-cp311-cp311-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.11Windows x86-64

cvxopt-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

cvxopt-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl (10.0 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ ARM64

cvxopt-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (21.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

cvxopt-1.3.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (13.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

cvxopt-1.3.3-cp311-cp311-macosx_26_0_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.11macOS 26.0+ x86-64

cvxopt-1.3.3-cp311-cp311-macosx_15_0_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.11macOS 15.0+ x86-64

cvxopt-1.3.3-cp311-cp311-macosx_15_0_arm64.whl (4.7 MB view details)

Uploaded CPython 3.11macOS 15.0+ ARM64

cvxopt-1.3.3-cp310-cp310-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.10Windows x86-64

cvxopt-1.3.3-cp310-cp310-musllinux_1_2_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

cvxopt-1.3.3-cp310-cp310-musllinux_1_2_aarch64.whl (9.9 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ ARM64

cvxopt-1.3.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (21.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

cvxopt-1.3.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (13.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

cvxopt-1.3.3-cp310-cp310-macosx_26_0_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.10macOS 26.0+ x86-64

cvxopt-1.3.3-cp310-cp310-macosx_15_0_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.10macOS 15.0+ x86-64

cvxopt-1.3.3-cp310-cp310-macosx_15_0_arm64.whl (4.7 MB view details)

Uploaded CPython 3.10macOS 15.0+ ARM64

cvxopt-1.3.3-cp39-cp39-win_amd64.whl (13.6 MB view details)

Uploaded CPython 3.9Windows x86-64

cvxopt-1.3.3-cp39-cp39-musllinux_1_2_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

cvxopt-1.3.3-cp39-cp39-musllinux_1_2_aarch64.whl (9.9 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ ARM64

cvxopt-1.3.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (21.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

cvxopt-1.3.3-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (13.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

cvxopt-1.3.3-cp39-cp39-macosx_26_0_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.9macOS 26.0+ x86-64

cvxopt-1.3.3-cp39-cp39-macosx_15_0_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.9macOS 15.0+ x86-64

cvxopt-1.3.3-cp39-cp39-macosx_15_0_arm64.whl (4.7 MB view details)

Uploaded CPython 3.9macOS 15.0+ ARM64

cvxopt-1.3.3-cp38-cp38-musllinux_1_2_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

cvxopt-1.3.3-cp38-cp38-musllinux_1_2_aarch64.whl (9.9 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ ARM64

cvxopt-1.3.3-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (21.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

cvxopt-1.3.3-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (13.8 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

cvxopt-1.3.3-cp38-cp38-macosx_26_0_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.8macOS 26.0+ x86-64

cvxopt-1.3.3-cp38-cp38-macosx_15_0_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.8macOS 15.0+ x86-64

File details

Details for the file cvxopt-1.3.3.tar.gz.

File metadata

  • Download URL: cvxopt-1.3.3.tar.gz
  • Upload date:
  • Size: 8.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for cvxopt-1.3.3.tar.gz
Algorithm Hash digest
SHA256 8059cef41f1f115c87bc9b75fec9f86db95e7f0afcf03a52d619ba433e443bcb
MD5 741475b99b0e1d6f0a3cdd4b471c7273
BLAKE2b-256 3fb70e6ecb45c152029310a0cf7594e518f3591b363d4e06638526efc7872cb8

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 51ab532f8eb0e080d23bac7d848c465ffff89397b7ce44bc7fdb214e0ae47cd6
MD5 adf3dd1f7e6d17ce7669c70b716dffd0
BLAKE2b-256 19f30e7c896f2c617a6dc9bbdf0399023a73fa77a8c8c071ba95912f01564de7

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 a39c06e49f9c3674641a395aadc6ff16ba11b86456fcbf74c790ba66639f779f
MD5 e0353541b732f2f1dda293bc1fa2b1b6
BLAKE2b-256 14448429765453ad15f0aaaa73b97e74507c392f7f018030c24d89f5451b9eba

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4c9c6cfbea52e80fe9e7214c355ed66429461a38fed43aa69673359fa8627bf7
MD5 536d9677d2b946ce03786288f5d4ba85
BLAKE2b-256 ca554f609f6e5a694c20c64f30bca20954a4bfa10fcb071eca665add72d7e1a3

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 8a102e1ce2b41eab206e88c44becdb55e7c167cb7d55bdfec6af482eefc6e204
MD5 4d6d69baf63b9b10dcdc013f4cc2054d
BLAKE2b-256 7cd7a43a12bcfab0a4458401950631efdc9e08e79106455c284b5612f27afd1d

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: cvxopt-1.3.3-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 13.8 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 8026255a9e8c3d4bb4369765002384f160e732d2bfc395424a1a80491525a2c0
MD5 53e4c8bba6433779a9aaf05e337a22f8
BLAKE2b-256 666eb100b8fbddd2d2c3305d271c5af460c5c2e05c2c5307a02e2f76533fb97e

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 66ace6df059245d219b81515a7593e67aee0eefcf295f9a584eed0e91a77cf63
MD5 635f16d81d0102ffc49651d8a274ff5c
BLAKE2b-256 0b76569eff563c765382bb7a6774c432391aecfac16502e6b1c32e337f26ff7a

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 ef0e2506d67e9c74691e5e74f33f69dedd998a28b6542d37ab056dd3897d0fd4
MD5 0e759b5c86cc1d271450c2c0d2dd74de
BLAKE2b-256 db9e1018198fc9cbcc2a600202329151812f2335a213fd40cfabead6037a5121

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 25c5ae79420251f88c64233693c5f9819953f94db14cba97fd622a9fe8fe5156
MD5 ae6119879073f816d700593dacc62822
BLAKE2b-256 7b957b4c97551ca15941b5db26acba06cfdc37fd8f1d8c41ca5f3dcad857197e

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 8ad26a0d211332c8ec5f6aa3abd56586f7b9ce0a6f47d12375757cd633cf6b09
MD5 43c3d75243d842878e7b7558700b018f
BLAKE2b-256 0d36be720450af8ed4dcce8fe775462a00d8d1f36324ea44e2531cd201d912b5

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314-macosx_26_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314-macosx_26_0_x86_64.whl
Algorithm Hash digest
SHA256 07da00c0e01c2cfb3ef51a2f58b9ae8bfddd82a01c112fc5537ad737f45350c3
MD5 17f87dd7d29d4ef7eece3baef0f31b81
BLAKE2b-256 8bb266d1f83a54ea962e7c4a6983106a48403eea0c04a69ca057e023272d24a9

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 da8595905453b813dbf227d3a557c56b17b8ec216e8f76dcc2f8c77cbe137029
MD5 3ad4346e2013288b8989ccb967271221
BLAKE2b-256 c132bc1720efc8af4a807eaf21049340f0ec5c8e46db377ea9d16f9159433c8f

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp314-cp314-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp314-cp314-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 7e1e33b442bc97241d904e912ce047838aaa974957d92d7918a4567075abac41
MD5 a51524f6f94e24cb5b0f0c3bb8486e9e
BLAKE2b-256 bbc8399a07a392b611b2e909fb99fae337380929057a6a5221eb015be83327d1

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: cvxopt-1.3.3-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 13.6 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for cvxopt-1.3.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 2f7ab5f27caa8c158b6dd8724a75f4a4b1666e1eac7394b4115d920c093e542e
MD5 55c27f0dc8ffdb6421948c825fe78a71
BLAKE2b-256 5230f4da4f9bc049ff1f899f1094ccedca4f7fe54f6ab6fef3cf175a93cb8a47

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 663f6da2d3349c98cd94e7e43d57fa1cf2b14343869541d1f9ffb2067a16a195
MD5 71eb4a35650cb731ed699cbce1010d56
BLAKE2b-256 4b2b29486fa9d662008c0c8932f267244ec5f2ad183be108a15dfe2f1f42a81d

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 5916441fc08d1f3189c4f5ee1a990f7b59ad76c6dfa4a14ee2b65827426c50cc
MD5 a61b36062b1d960f5d2b8813b107fb7e
BLAKE2b-256 3b88c4c063403103890679f65b63f6552c2132b3c9f64154050a603798f26a84

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b57c29fa49d723916f68eced30aeaea0844d6101126eade281df175494445062
MD5 17b70bfd7affa788e06975f87c03adf5
BLAKE2b-256 2c78fe3308a38411c51fb4e167698a5af9ee217d24527d1abe632fd230d66eca

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 0f3918cf7d52669b785d231e998d2c4f6cd825b9ac8ad7e68a454140a9bfaefb
MD5 5e84736175455885b04bef5f50687cd4
BLAKE2b-256 9e1c0f7c5d177e87c55d3f9f448b7c08927173cdcade66a147c9198ff9cbe916

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp313-cp313-macosx_26_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp313-cp313-macosx_26_0_x86_64.whl
Algorithm Hash digest
SHA256 42fc816465db7176f4fe971e36dc1f0bc79c5318d5053634ff21e4d9f3c2d2d9
MD5 1cc834ba6a5ab7f08652df3deadfea57
BLAKE2b-256 e43c6991a8dfcb3c37a3c12a5ae1ab95d01dfb9e67ac06757d5804bd9b84da3f

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp313-cp313-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp313-cp313-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 a13004b9b06b7d4735da3f25dfda5a58105374bdbf00362b8d60c7a99ef51b4a
MD5 871eb5d3525e0bfd16c66877de6ba295
BLAKE2b-256 36d0bcacd0597182523e75cd62a77ab7ea7a9d50b43ca9743cd43f6d3083d892

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp313-cp313-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp313-cp313-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 e151af2f5e673dfa3ebfe5905d630f9324aab7f15c4252f2ddbac2643ec647d1
MD5 b3c04eca20d0858c17c87d2fd91f6df4
BLAKE2b-256 548fa557ecb11e4061d7c9e91f1e27505dcd81064b7d0bf4d538410ef199ea7c

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: cvxopt-1.3.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 13.6 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for cvxopt-1.3.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 acb3a0d77da92d13327ca176cde4d0d2f5c41e84b6f51fb4f50c965e91653326
MD5 c08cac3369f92ef50fa2870c603c97c7
BLAKE2b-256 7d61b6d41a491a7be30bdc865fe39109a2a2badc98118ed540658225677b4b39

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b67a95e4159b6eceaf62a4711609bafaa7fa5b9e106467b735fbf61f64f4aedb
MD5 cfb263a49977dfb1f4bb9454015ceef6
BLAKE2b-256 2ae7afe5b7acd5401c47aea876a593297ed7c59ffbc403f82cb35a21281f2e13

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 e6572da9cd0ebc06a667952879dc5c1c259615f38a94b1625c97ad43320d6966
MD5 b019f449ea35a56bc2cc04822eec1a6f
BLAKE2b-256 636f7308e6bdc22efef587f16c87f3b2fefe41c059f862e824aa0d5fd439f185

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 5989859412e3f231cb682357a50919c4ce8303764f8612c9377c65a3360ce5ec
MD5 dcd71c751f2d0ff4d291d10a81a3fd2f
BLAKE2b-256 800d2937931796376a56360047aa8293492e63f7c06b3291c0a46d1959806c6e

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 00633f15de428d8e309590b3c06bbd7cbc5fe15043737e47b31f4c0611ee2e35
MD5 5779fb826dab56f5e07073c60b460cc8
BLAKE2b-256 33a55fbebb46ba9daed0244867dfd303e9c31667e39c73191a2a03ca4943b191

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp312-cp312-macosx_26_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp312-cp312-macosx_26_0_x86_64.whl
Algorithm Hash digest
SHA256 f96960d31455e8e36bf7cfb0efe3881aa52fc01ee2775ea9bf9cc78188023e0a
MD5 3f44a77a43247ce5d847443204c63ee0
BLAKE2b-256 197deefd4dc622589e4025c44e47991358c255a463ce820ee9fff8b2443bfa57

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp312-cp312-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp312-cp312-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 8661186544c869142c92f51b2ffd5f48e5e11fe33bacd4c85ea4964227e0cea4
MD5 ff2a3d243b84d062e4bc64c4997783ce
BLAKE2b-256 49fb75452bdcb227b66b0da5cf17fc8251d8cf384d6e42ac986ea33b4c23f222

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp312-cp312-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp312-cp312-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 3ef0d5ce0aa5932644d5f5ae775179894af4a0d48af912558efa7579d18f8262
MD5 6c93f012ff378311b40ef468f58f4ef2
BLAKE2b-256 868f644fdc3a593e60030ee987558ca9cbb55f93b929cf3b4e0fc237cf85f0e3

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: cvxopt-1.3.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 13.6 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for cvxopt-1.3.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8185413f28a111560edd3f74238bd0286dd298b6a11b9f8195d9105940d3ab17
MD5 330e3e6ede871ce39bad1d01a134baf5
BLAKE2b-256 d57e58fc8e2b13c8a817ac1bf9fb095ecabe8b9aa7d9b76ceab367fac558499b

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 6f9bea26a067f96bab372781abf6a36c63a551846bb08701db5ead85c99dbda2
MD5 3df97345bf180af9a8a35a148d778108
BLAKE2b-256 677581e9aaf4cbd52647d0f87350532bc65c8f4d902b68a0723093ff12245e15

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 52b3324557132ccc0d03f950bbbad77b48e6f70d45f1aaa2b5ffc347dabcf33e
MD5 ceb5ced3d2f87059a1f0018382fceb8e
BLAKE2b-256 5f37f1b7437d80a32095b3c3f0a364ec974f3cdbf990ccfe8c3ad61ac8f5ae99

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 089825a70f59d85d74aeea12a84ba409c32f9acb72021d33342fa2f5f06a3c88
MD5 90e087c8df82ce7e69a84decee70a2de
BLAKE2b-256 0e882ee8103d9d5f58c11aab5a8b67d2a781c352dd84bdb324ed374bcd758200

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 473b1e36b0fda5a6be82cf687d78a2430573701855f6a843f6fd2509e3ddab0d
MD5 446629c486ec09bf60e1d28fd80f48d4
BLAKE2b-256 9bcf06a1359f2b2aba521dc934db62f44d9aeff2a4b44c5028b8bf90e8eb212c

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp311-cp311-macosx_26_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp311-cp311-macosx_26_0_x86_64.whl
Algorithm Hash digest
SHA256 bc31fcd7a213e1ef14f63f58f90678b3d154fef2e106219184bee67f0bba3a17
MD5 391642b43ced716030fa62cebe932145
BLAKE2b-256 3bb6f0c97b8af6265b1f3798ad06e060a769c2e2f34263dc85ea8c71cd98ad68

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp311-cp311-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp311-cp311-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 c3219af8f569e46edc7306ab553bb3b81f8ac0b0d1729043a4aa8b3521d4372d
MD5 bd7d0be8b3c74b162e9780aa48bc24cb
BLAKE2b-256 deb9215412d42ae0fabe567e6c1793107698bb5502f91209343504fa270638c0

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp311-cp311-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp311-cp311-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 61596c538bdcab39d081e8d3154e6034c4792606b60b269f3e0275efab714113
MD5 53527c9cd2a7056c7082651fdab7fda3
BLAKE2b-256 d381d418211e7198ca9cf48dbd397a16cdc2cc46cf4d48c9fe9637b74a5fd4d1

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: cvxopt-1.3.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 13.6 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for cvxopt-1.3.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 960d9f3eb14e0e42fe356edd167c76fd410f27ba31bcd4c3fbceb79ecdf7b357
MD5 0bef5daf67069fb9ea7828e051987c09
BLAKE2b-256 a2ab3d8061c4c82576999f2fe8bdec536206e6bad1dfc9111107bd42c9a2659f

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d3615a95c51db7e8b7f3025df77d973dd6197466585c43be119199867cf6ecd3
MD5 e97e873ba44fd504f8f7051a3af4dfa7
BLAKE2b-256 194e7e39abcfa5cee265e663c8b7ca360ae698de66c4c57bff9dc901bd1aa526

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 1e424d2b8f2bc85e2aa56c2b00a0eb05899861a908bcc5de0296662f547601d9
MD5 9a24a70acd5f4fe4e9931e27be662c0c
BLAKE2b-256 57796157b986dde61dd2f8205fe548313886af8517c6647c1623d4b6867509d3

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 00779705997128ffc102d2e62ec0be9ec82f76a774e1e525069eef74aa2ada96
MD5 ff305d9f54ee0438ea2f61e1b96c7911
BLAKE2b-256 479b749c94747ba95ef3d33dbfc1af84bde58c4d0cd58b2b93e19b1c539786a5

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 318a93c9489ab541672558a1521942874f79e23804c6ccc4347798d2c4a6fe37
MD5 ea306f4ae0e71f538a8021ef696a92b6
BLAKE2b-256 8b75dd2e9108c9fc5ff337d6403ff818c65745b240ccb59ee242f8aa97c7a571

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp310-cp310-macosx_26_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp310-cp310-macosx_26_0_x86_64.whl
Algorithm Hash digest
SHA256 20ccea5c3be4dc8347199ba9c36e715f3fdeda9a1ca34c8e23cce0d15daa38c2
MD5 aadb1349735d725ae04e6bb779f4b145
BLAKE2b-256 135f5df85622c41fe3f699703e3b1cbf51b94ceb59edc4050b4beb3bb8862bdc

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp310-cp310-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp310-cp310-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 5b2046ea29345b9d4d0993dc0af92f462f7014d3f522259e860eed18e6b4d231
MD5 8d4c8158b2419cb9f34ddbb17e1751cc
BLAKE2b-256 34de2cfa3d740f2ba10c4af2f61edc0b9857670eebef29b5ba2ecf8d1d71657e

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp310-cp310-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp310-cp310-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 55ac15de374e8fba0cd1ed7c6834ad701c727d3ecc8f4a3b41dca0a5ed76cca4
MD5 1bb12b3538e44f25ce4e20683cf2f355
BLAKE2b-256 03447ea9b23a3186c8a7ee4b56f6f684c7c5488e1f011937ab3084966dbd0177

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: cvxopt-1.3.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 13.6 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for cvxopt-1.3.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0daf7b4386cadad2d8d04d21ea5a867de9f714f1f9049c282604ad027ee7ffaf
MD5 9b6322e9ec6e052a454bc0ef7dfbcc04
BLAKE2b-256 bce7d048e0e026b3f3750380c3c736e995454eb3002200c9386e252862418146

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 82bbac138aef58b435c131fb57a5b9cc1b7045fe6fc9b11b9681b9ad6915b91d
MD5 71d8f5eb7f3515cadf511251ff8a896a
BLAKE2b-256 019641d040b3b60ddd97e515a4e60c32fdb7bb2be1cf6dd53fbbac490e274d72

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp39-cp39-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp39-cp39-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 4c03e49a6de20e0f41d047982da35d7f1626e4cd729d9be1cc90234a3fdcb7be
MD5 23073b8a3755f12cd9f1aaa3ee58ccb2
BLAKE2b-256 92a6e0dd9a34dc6a6960a900dfef86904fc9ac36a447c133d4ff8b12a0e5ce1a

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 6d0d7774b59066538a44f881fe5fe7013c4b939b9283d5955e300f437fb90ac6
MD5 bc54a02bad601985dd32a3f69a8f0dca
BLAKE2b-256 c2ebcf1a0d702ccead1932c826304cb6bd819aec397c55c29e8cab325f5eb4f2

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 8c0550bcbe3229b5f1cbd10c24f6d573c87083eeac13773043873a78dcbe5fdc
MD5 ed320cf88a90a202f9348a5972581aae
BLAKE2b-256 d7351bede8eeebaf12a09c0a4d7c54dde5298e44f5b30d86d593302a3f5015d9

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp39-cp39-macosx_26_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp39-cp39-macosx_26_0_x86_64.whl
Algorithm Hash digest
SHA256 9a2a8621c21b2da2dde0c14fd758ba524d2a6c67f06e39b613116080595bdf3e
MD5 e50ffecca534896aac94dc6b5c31338b
BLAKE2b-256 ff356fd643f660a6c5d13fa26f8020cf04b7b67db364fdfc1afde07064650445

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp39-cp39-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp39-cp39-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 f5153677dfa0b4d773625b46f2afe4b1b4e2dc3eceb90db98799df02e42504bd
MD5 73f06ae363d3f3690e7a1411b4380a55
BLAKE2b-256 3c727c8e4cd3d72b4e7ca3cafc30bf22df120f02cc393932d8d18c8e8c2f98e8

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp39-cp39-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp39-cp39-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 8606f9938cfbbd2ad2d14fc9687bebaa2559a400044a7a989091bddabd746f61
MD5 e4eef234f759ff8a98a70d1d2849c2bb
BLAKE2b-256 d6bbca32076ac8cdca9d70c62783df80ea5375b111db2ba5f26bfeabc84f7b84

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 59087830fa09239f34c8f88f8e7c4aad9659b06f02728eb98ee1b8219413d87a
MD5 d4f0b84246f14f5a18098f3ba7312d78
BLAKE2b-256 c9d1746f745a5a8142cdb2f25d7ad05a1b431e19f0148aa4748308dac5ebf96e

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp38-cp38-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp38-cp38-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 30f2dae02eeb1d46dd11e25d6ef8e2fe9225895cbf77a59c6761206e04d6dab1
MD5 695c43e6b2ef541a8d895211a0f426d5
BLAKE2b-256 d1f56c7f8b421adc334e3cf46e2c44b0b797ada675d72ecb9ba8f8cd2d484732

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 136c4f5f7a8888871ca183aec17bb6ab1c931a8c46260c32866d2022af49aca0
MD5 c3e12db8d0612c7e7533959b9fd84e94
BLAKE2b-256 b29c30cc14ce8fddd7a9ea36620dc3f0662bd46696cbae0419468a9480cd5c84

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 0a0f732817f7f245754b9ade35db4ccd2662095859494da0c3c654f8c040ff25
MD5 6895ce08483203189569402936fd5f2c
BLAKE2b-256 3e87f22da1119235299b8be37cb65842f19c684124f18d3b1b232b47c374f0a2

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp38-cp38-macosx_26_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp38-cp38-macosx_26_0_x86_64.whl
Algorithm Hash digest
SHA256 f8f71bf03c9330d88f6b326c301a6d730290fd61c868af5908e156f088ef79ae
MD5 a8929e68a7cdf5e03434f4458bdf10a8
BLAKE2b-256 91a9967852babf709c922d6da85884df4c311dec133644a96ba213121bd4b317

See more details on using hashes here.

File details

Details for the file cvxopt-1.3.3-cp38-cp38-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for cvxopt-1.3.3-cp38-cp38-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 490503e4521b55b0dacf583ee83f516cd3e09331155ff813c106d6b6103fc2bd
MD5 65e68e89b0596895e5358ae15518622e
BLAKE2b-256 e080ba9bd7b9254fb7bf985590db4211c06e44ccc924a41d3750d572cebc28b7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page