Skip to main content

OSQP: The Operator Splitting QP Solver

Project description

https://github.com/oxfordcontrol/qdldl-python/workflows/Build/badge.svg?branch=master

Python wrapper for OSQP: the Operator Splitting QP Solver.

The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving problems in the form

minimize        0.5 x' P x + q' x

subject to      l <= A x <= u

where x in R^n is the optimization variable. The objective function is defined by a positive semidefinite matrix P in S^n_+ and vector q in R^n. The linear constraints are defined by matrix A in R^{m x n} and vectors l in R^m U {-inf}^m, u in R^m U {+inf}^m.

Installation

To install osqp for python, make sure that you’re using a recent version of pip (pip install --upgrade pip) and then use pip install osqp.

To install osqp from source, clone the repository (git clone --recurse-submodules https://github.com/osqp/osqp-python) and run pip install . from inside the cloned folder.

Documentation

The interface is documented here.

Packaging

This repository performs the tests and builds the pypi wheels. Conda packages are on conda-forge.

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

osqp-0.6.6.tar.gz (228.5 kB view details)

Uploaded Source

Built Distributions

osqp-0.6.6-cp312-cp312-win_amd64.whl (293.3 kB view details)

Uploaded CPython 3.12 Windows x86-64

osqp-0.6.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (296.9 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

osqp-0.6.6-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (301.4 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.6-cp312-cp312-macosx_11_0_arm64.whl (237.2 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

osqp-0.6.6-cp311-cp311-win_amd64.whl (293.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

osqp-0.6.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (295.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

osqp-0.6.6-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299.7 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.6-cp311-cp311-macosx_11_0_arm64.whl (237.2 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

osqp-0.6.6-cp310-cp310-win_amd64.whl (293.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

osqp-0.6.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (294.5 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

osqp-0.6.6-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299.0 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.6-cp310-cp310-macosx_11_0_arm64.whl (237.2 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

osqp-0.6.6-cp39-cp39-win_amd64.whl (293.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

osqp-0.6.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (294.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

osqp-0.6.6-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (298.8 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.6-cp39-cp39-macosx_11_0_arm64.whl (243.7 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

osqp-0.6.6-cp38-cp38-win_amd64.whl (293.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

osqp-0.6.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (295.6 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

osqp-0.6.6-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (300.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.6-cp38-cp38-macosx_11_0_arm64.whl (147.2 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

osqp-0.6.6-cp37-cp37m-win_amd64.whl (292.9 kB view details)

Uploaded CPython 3.7m Windows x86-64

osqp-0.6.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (293.1 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

osqp-0.6.6-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (296.7 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

osqp-0.6.6-cp36-cp36m-win_amd64.whl (190.0 kB view details)

Uploaded CPython 3.6m Windows x86-64

osqp-0.6.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (232.1 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

osqp-0.6.6-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (233.4 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

File details

Details for the file osqp-0.6.6.tar.gz.

File metadata

  • Download URL: osqp-0.6.6.tar.gz
  • Upload date:
  • Size: 228.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.19

File hashes

Hashes for osqp-0.6.6.tar.gz
Algorithm Hash digest
SHA256 878f3d19702c82ab1a2c127d5b1dab619954b9d2e7e1210121d1e438cfc2b8ad
MD5 b16fc1ba4934b1675d77cca80acec6e3
BLAKE2b-256 35d682989fc05a8b3e642c0c82e2525ad0be5dc5108fc5e15aaf9d6d7f66a81a

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: osqp-0.6.6-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 293.3 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.13

File hashes

Hashes for osqp-0.6.6-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 6118dddb19b3fb3d37eee555bcbf36521a771ad415e0639e52367c5e3cdbe8ef
MD5 29f03162759b37a89ad44a247ba4807d
BLAKE2b-256 4b21e05b1ac34e28f474508d6dedfcda022a69929bfc5510f3759a7b8664d956

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e44d7e6327bf5866f7fa70f05a969855bb6f75be3e47185e7e53855807ed51d4
MD5 2139dcb30f86cbf4d3043bde9a63f2ec
BLAKE2b-256 4c5a45af2fd3b2035c2799a21bb39e31e0a02981aabfb46a689b980a0bfe0b21

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 55eb6d62f4c6d7249add4b36b510727e2cbaa0e96425e1edc8efbd2b3bd4c48a
MD5 0e1eb521d966966af9632e4d428be144
BLAKE2b-256 4b08e638d388fbc8b95711275d6721196c9ce7e8166d038280b15c605c2cf028

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 48db11065ab62aa93f04ed95ce3e94a9ff2d646c1fa741ddd47cb23248da7093
MD5 5fd251da3cd1bac34b287d61d9c8059c
BLAKE2b-256 03e77187a7856dc7c2c4ac19c04ece78558e15db1f5684fcd053229b0fe2f54a

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: osqp-0.6.6-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 293.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.13

File hashes

Hashes for osqp-0.6.6-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c3a4478117482fc4bb4b18cf25c77bfbef0f69d55a535413b20db8ec7f4178bd
MD5 42c3a6f2c013dfe686df2edc9cad3e05
BLAKE2b-256 94ef516faa303c87adcc5f6f51d4d83ef6f48fdd35ccefaef3282f16cce8a227

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ac1f19acc6df46582ca78de48747cde7afe4bc1c03b5ad75ba4e4c876e349db4
MD5 1f8a040207d9df9a804f1b97fceec0fc
BLAKE2b-256 5c2b745c9c3986adb53fbc6445f9991a0db6f6f6823b298c0cc21325699d7b68

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 59f088936009ff04238532bb9ece18b4fed256e485f015ddd254c9601dd7effe
MD5 dc154d618d0d7ed62a238e5598171ac2
BLAKE2b-256 72c0ca150c69dc40acf1a2dbbb04ee11519da4fa939678d2dd94581783ba10fb

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 55b37a0bf193654b4b764cacd7c88c39cdc8c4745bc6986f91e2eee85e83e9c4
MD5 b6ac4af8e3950f924b9e97c8c529207b
BLAKE2b-256 0d12527301ac214aae60d1a52b72fffeea722b966d6e5013fdf8bb001a055409

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: osqp-0.6.6-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 293.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.13

File hashes

Hashes for osqp-0.6.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b7e087ed331f4f4440fa41151a7663d24e2c3924eff51a23a1aafb9601c39a2e
MD5 7bf5ef64690ef742dad569ccedac00bf
BLAKE2b-256 0621a6e0a2385af262e42d9e023b6d6a5288494b4e2a2d406364aa549129fb94

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 68608010c9222193953038f406073ca6573346a7ac39ba92270f6f1b2f713541
MD5 2696eb6fd882f1e12de61eff50400dde
BLAKE2b-256 ccac56b90b9e9456ce1624bad1b0e428c3ca9247fcd43d0d513603494142a57b

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f360bc50677344b557ed0ff8a8bb19b15a4b2a0dccf0b9e24ba07e8a41490a8e
MD5 ffde0c1aaa5563b654474992d624ea93
BLAKE2b-256 a6d96d2d30b62d5ef774a02b68ae6ec364446e41db3200e313d1501d187f05e1

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5c89a5abcacda1b4da022a2f4fc7858c64962121979b88d6eadadcf8d91832cc
MD5 1af43bcf303a14ed131b98e28da1e7a5
BLAKE2b-256 2fff68beec40000b8cf9dc4a7e0a186b607256a99ca07c953e950f3ab44acf4f

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: osqp-0.6.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 293.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.13

File hashes

Hashes for osqp-0.6.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 ed72818a40e06e860dbf7b6fdaafaec099430ec367e4285abf38efe4b2cb5d7c
MD5 035be3c95e3c4b9ad068c6aa6a6495ae
BLAKE2b-256 0f0876f01f481c133b1a25e852a7009c3e0ed9bec5b4a8aa24106a78ad67a9ff

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5c29874883d1c4cf35022b63847dc5de7988b9729024b5473df448234d7b443c
MD5 76bf36518949bc51b3d40064d5e21fd4
BLAKE2b-256 3fcec098a284d4c71def8ea5f1894f7919cd96f8abcc383fb4e0588da252fc67

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 12867575a0aedfbced955109fb8a452137ae12bc7fc7722c28cea9ec82c481d0
MD5 c55b310c7a29b051a9a4e423a86ebcba
BLAKE2b-256 e56288f0223a08df4f17a243dba5acc675fad616f92cc96e303fc40de075903b

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 28dec3d5b21a245cc872c3485d2705cdf6b21b159704a501d650af6b6dde40d0
MD5 efaa969869ea0af33743d337f3cebbbd
BLAKE2b-256 5f3448431c686afa587947696265b728962e007ba7da58c2185f053c5da5deb7

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: osqp-0.6.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 293.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.13

File hashes

Hashes for osqp-0.6.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 3f088c0824df53258150288625eb0f7047c920851c37f70fa1f5885ee808f011
MD5 885ad57c74335e02e9ca98e9978a11a5
BLAKE2b-256 288acd1118a9902546142919a9654eb9724d0bedf18f9b93526fd4dbffcba0aa

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 558a6b9a57139e332f4262b0f5cc2a970006be464d1c75bd847e87a4a1b20c12
MD5 e5bf6d01f565b2674f448642980b738c
BLAKE2b-256 2f79b3d04481a1cf4967aa82bd2339e627498443edc5f4ab2ef5cd88472f080a

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9202f08fef88e1b7f5acc9bdaf7f6c006558947098ef41bcd8ba9329f8cdc0fb
MD5 02b37eb09202f26c2c5cc26c69af33fe
BLAKE2b-256 a3ba37ebda939ed7c8255d3ef80efe131567027c43fadd95e21b0a188c33306f

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 85e6d6bf22cf3528c94c65ccc75bf939cfb4cd2d04fbc2449e9db2f189cabf95
MD5 c4ce4a45ae3dc9631183955b7a6566b4
BLAKE2b-256 d1c1dcee8aca9344830da8b0fb6b93c8eba4a64ad47eee64c7e6c3ae8f40e075

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: osqp-0.6.6-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 292.9 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.13

File hashes

Hashes for osqp-0.6.6-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 93e9aa288428395f12a9a5f612ae16835220ae6a49a3f765e0bf8ac8869a9aef
MD5 a526c7425e17d2e1efaa71d0777abbac
BLAKE2b-256 ea89d865fd82fe79d4432b023e2836dcdb1c3672ba8c0a59f6e3846fa2580115

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d1e4f3dee47fd0702920815b8dd5b02c2c214f5619a188f3f31819a8b9c5bf74
MD5 ebb8f96761a225d98a94a262263e0708
BLAKE2b-256 b3a945b7030cd17561feb13ae16422d110e5fe9ddf0cec61a8dbf9aaced2cf4b

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fc05a6d45675a1bf2a61e957ac18db94b456618eb7ee8cae9634cd6590fa8cc4
MD5 d25aecb216fc8da3b804495007b15547
BLAKE2b-256 73eacfe66663925587eba1d200129e265a3faed40ebe612f117c727fe7c3f9e6

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: osqp-0.6.6-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 190.0 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.13

File hashes

Hashes for osqp-0.6.6-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 765320080cd7c9b002dbf4a6701418a8d2b6e8ff0da84d9df88c9968c1711ed5
MD5 1bf92a965b298dd923045d2fbb97aca4
BLAKE2b-256 f10e98474b97bb555c7e1013484452394894f235491f5d096c6c06eb88d784ea

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 29390ffe3397e30927202cca17353c4ba36e9826a11e8d043ab78e956f489b6d
MD5 e73b7881b4e6208cb06b09b8c89e0302
BLAKE2b-256 1b734fa4c2ee5b4166563d955744b95b7242d1fd8eb74c4ec402e730c49e5fda

See more details on using hashes here.

File details

Details for the file osqp-0.6.6-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for osqp-0.6.6-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7759d20d296199f01a175f6041a8799b5050477ffd3ca922546ab4181894b21f
MD5 baef0eb3630f818edf15b4bc7a9da315
BLAKE2b-256 135daa501eff81cf2815c346fcab3de25f73e2f9a71ad36dc37997d037940ec5

See more details on using hashes here.

Supported by

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