Skip to main content

DAQP: A dual active-set QP solver

Project description

DAQP

DAQP is a dual active-set solver that solves convex quadratic programs of the form

minimize        0.5 x' H x + f' x

subject to      l  <=  x  <= u
		bl <=  Ax <= bu.

Binary constraints of the form $A x \in \lbrace b_l, b_u \rbrace$ are also supported, allowing for mixed-integer quadratic programs to be solved.

The code is written in C and is library free. DAQP can be interfaced to C, Julia, MATLAB, and Python.

See Documentation for an installation guide and basic use of the interfaces.

Citing DAQP

@article{arnstrom2022dual,
  author={Arnström, Daniel and Bemporad, Alberto and Axehill, Daniel},
  journal={IEEE Transactions on Automatic Control},
  title={A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive {LDL}$^{T}$ Updates},
  year={2022},
  volume={67},
  number={8},
  pages={4362-4369},
  doi={10.1109/TAC.2022.3176430}
}

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

daqp-0.4.1.tar.gz (128.9 kB view details)

Uploaded Source

Built Distributions

daqp-0.4.1-pp39-pypy39_pp73-win_amd64.whl (75.7 kB view details)

Uploaded PyPy Windows x86-64

daqp-0.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (105.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

daqp-0.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (97.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

daqp-0.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (82.9 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

daqp-0.4.1-pp38-pypy38_pp73-win_amd64.whl (75.6 kB view details)

Uploaded PyPy Windows x86-64

daqp-0.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (105.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

daqp-0.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (97.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

daqp-0.4.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (82.8 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

daqp-0.4.1-pp37-pypy37_pp73-win_amd64.whl (75.6 kB view details)

Uploaded PyPy Windows x86-64

daqp-0.4.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (106.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

daqp-0.4.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (97.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

daqp-0.4.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (82.8 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

daqp-0.4.1-cp311-cp311-win_amd64.whl (80.6 kB view details)

Uploaded CPython 3.11 Windows x86-64

daqp-0.4.1-cp311-cp311-win32.whl (67.9 kB view details)

Uploaded CPython 3.11 Windows x86

daqp-0.4.1-cp311-cp311-musllinux_1_1_aarch64.whl (466.4 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

daqp-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (474.4 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

daqp-0.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (468.0 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

daqp-0.4.1-cp311-cp311-macosx_10_9_x86_64.whl (97.3 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

daqp-0.4.1-cp310-cp310-win_amd64.whl (81.1 kB view details)

Uploaded CPython 3.10 Windows x86-64

daqp-0.4.1-cp310-cp310-win32.whl (68.5 kB view details)

Uploaded CPython 3.10 Windows x86

daqp-0.4.1-cp310-cp310-musllinux_1_1_aarch64.whl (449.7 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

daqp-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (454.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

daqp-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (445.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

daqp-0.4.1-cp310-cp310-macosx_10_9_x86_64.whl (98.8 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

daqp-0.4.1-cp39-cp39-win_amd64.whl (82.4 kB view details)

Uploaded CPython 3.9 Windows x86-64

daqp-0.4.1-cp39-cp39-win32.whl (69.5 kB view details)

Uploaded CPython 3.9 Windows x86

daqp-0.4.1-cp39-cp39-musllinux_1_1_aarch64.whl (456.9 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

daqp-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (461.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

daqp-0.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (452.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

daqp-0.4.1-cp39-cp39-macosx_10_9_x86_64.whl (98.7 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

daqp-0.4.1-cp38-cp38-win_amd64.whl (82.2 kB view details)

Uploaded CPython 3.8 Windows x86-64

daqp-0.4.1-cp38-cp38-win32.whl (69.4 kB view details)

Uploaded CPython 3.8 Windows x86

daqp-0.4.1-cp38-cp38-musllinux_1_1_aarch64.whl (472.0 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

daqp-0.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (462.3 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

daqp-0.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (454.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

daqp-0.4.1-cp38-cp38-macosx_10_9_x86_64.whl (97.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

daqp-0.4.1-cp37-cp37m-win_amd64.whl (81.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

daqp-0.4.1-cp37-cp37m-win32.whl (68.1 kB view details)

Uploaded CPython 3.7m Windows x86

daqp-0.4.1-cp37-cp37m-musllinux_1_1_aarch64.whl (430.5 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

daqp-0.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (433.1 kB view details)

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

daqp-0.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (424.8 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

daqp-0.4.1-cp37-cp37m-macosx_10_9_x86_64.whl (97.6 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

daqp-0.4.1-cp36-cp36m-win_amd64.whl (92.7 kB view details)

Uploaded CPython 3.6m Windows x86-64

daqp-0.4.1-cp36-cp36m-win32.whl (74.8 kB view details)

Uploaded CPython 3.6m Windows x86

daqp-0.4.1-cp36-cp36m-musllinux_1_1_aarch64.whl (428.6 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ ARM64

daqp-0.4.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (434.9 kB view details)

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

daqp-0.4.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (425.0 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

daqp-0.4.1-cp36-cp36m-macosx_10_9_x86_64.whl (97.7 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file daqp-0.4.1.tar.gz.

File metadata

  • Download URL: daqp-0.4.1.tar.gz
  • Upload date:
  • Size: 128.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for daqp-0.4.1.tar.gz
Algorithm Hash digest
SHA256 09be22f275a4825e37f2f615aaff633de41a8936d2d316c5693423c343ad8832
MD5 389362897c778013670cd842c9d5ae17
BLAKE2b-256 b435566b53fbcf24a474c249c0697aeb0593145350b14c849304b2b393634d38

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 dbe8b53f240639c2e60a7f3194324138a62536efd6cf68312537e87a1d56999b
MD5 1eace87e5894f7bca402430c8d2a3107
BLAKE2b-256 7342ce9edb46e134ab4ffc1740f1611733343e6ae213776a996dcead60dbb2cb

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 65ad8ec0c2bbb335ae277360e98edd5b5ed6cd3fb3d26fd4da13530bc951edae
MD5 c5af08a08742fd6853d77c9cf5aea647
BLAKE2b-256 3dae39d6141dee5586442b08ae9cfe659597371f7c974bb4dc6f3ddba0c7a43c

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e9565c99c46a0896c1bdd696d0ba47691372fda23b839c6c14fb3a50e1132911
MD5 c29810fcec41fe946db04c886a0e5882
BLAKE2b-256 ea8017d0187ca16188cd2b168bd68e519a4b6b8181fb2a4e5d702231144d28f7

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 11b18cf496bdef1df7a7edcaa65fa0d5397a4a47ad81dacb294e03269bc1afb3
MD5 57cc086771d143a12d44481926b2ada4
BLAKE2b-256 c88fd6d86910065ae5aae860bff01259581f45d5ae17dfd384438d183f796fe8

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 8ba2aa90a321a7d9a5ff6d3369ec6f3d5d754545e6abe73180ac8f053d772a9f
MD5 550fff1936ee7f7a9c6d365108c25f75
BLAKE2b-256 3088e940204d32ce3e53be70c9a36499f576f81ee5c748a4f1eb315616653d95

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1a07062cb616c71fd473ef561476a11f48e52cf3c294151d5362994eadd7d2b9
MD5 778b627aad94d91414e452b4522f78db
BLAKE2b-256 e3fc940522d9661eceff844f04e3d0322f05512ab7a51954e67010451f67aeb4

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c4b6ca199ceb22457c5c553ac6030bfeb082c280709c7e8a34fc8bef78b5dc29
MD5 df7d5840ea75cc38dd843bab5984127f
BLAKE2b-256 edad882937c47b412a5c5aa8f69c6af7598373ef4ceac8470a1aa7bd8fd02707

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1afbca125a24f91d1b292f9b02c57a6111640acb6c043f13058df328bfc565dd
MD5 24de5dbe269dcd51bc254991bcf4960e
BLAKE2b-256 cf83d1d6f04f900ce7a336e0b373a8ce84ffdc08a383c15f42630506864dbb11

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 7098973e3952a87b86ac3df693f209d40cf99fb73abec7ed8680b3f509816303
MD5 3cd2b42323c52340b72031a3c66b8d76
BLAKE2b-256 a14b4aefece37df9678f63fbb05a2cdf5113fc7db33cd8f13296f212b695297f

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1c57a0b22db66818274e7a3a3e23dfc05753581b54f27ecf1b63e4ffdd8f2658
MD5 49ce981d2decda46b600e530e990bdfe
BLAKE2b-256 a5a8cff9a86c5122a0acc9e70aafa5f06b98416afff4f411642f7e5d2b0236a5

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ada4a4304c052e8cade576bd88b63182cff84532ebe8970131860a574ebbe5f1
MD5 44009c4e5fccd3e533a1a2257111f253
BLAKE2b-256 ed2d5620f97c8e4da3a836e56672283fe976490a655fddfe84291636415651b5

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 041a08d63cdaffd7e54ebf0923872945b53b551428ba084f17db45fb35d9d663
MD5 8a0bc089f5b8038a940e11fb74cb88ea
BLAKE2b-256 f73e1bb0b287937a3fe6aa0bada7f3ef68371ad08102aa721593d502fca63172

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: daqp-0.4.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 80.6 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 2a7fdee481bdb0a6e785695418b3242c64a57bb234a2e36c6c5725355a478312
MD5 dec78b4ad6544d48a6a30a2fc9d88cf2
BLAKE2b-256 76f2b79cfe920c6e6d8d97c4e4b86d52d9c4362274ba3d2567c6af238d157c97

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: daqp-0.4.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 67.9 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 bff215f0bff73dfd211149912c492acac3acad2b74908d797cf8f34c4df20d22
MD5 daccd5183f431e2dd4d07645716dd69c
BLAKE2b-256 0929695550f5e391d02e2b7cf3b23ce875f778ad92673acacc8feb99131807ca

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 1f02746a5abe2b20418957912b01ec22130c4e43425262e12b758fa48030adb0
MD5 2a0c282b0107bd6ca741db396672b956
BLAKE2b-256 66a86dc9cdbedba6a4b848acb051c206416cddb9ebb57c19923064267e54ef5e

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 335669c7633ec3b4c77ea045f9fbc78d3a36103feee191f962d7ad93409b200d
MD5 54b887aa146657ff8332bad3b29e4b33
BLAKE2b-256 ba365474b95341a940ec719c2ad4f0d6460ad1c72408023d8c1e76719a1e31af

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 595c4d2b1bc16cb8363b39a16faa6228a190180fffc864e5f03da33acaca90e8
MD5 b56b9c8b258b373be4a71163ceaafa11
BLAKE2b-256 50372bdeb5fa20eafaf4252ce2e280fb72b7afa4761dbd1764981843a588b56d

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fd492f3dcdece08a939d5e7ad6f41bc8cc8630e87018ac15b0de12acb38a1d20
MD5 7e2ceb97980804973a1e2fdf60f7290c
BLAKE2b-256 923f902d9763326ab47d04a62e45c075656ca55524afae8163d23a0624eddd05

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: daqp-0.4.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 81.1 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 dce4b633a844bdaf7347c1df85851f3b6446a0527f4f9be5cae50273c9d5e59f
MD5 56bab381f52599405c63e8a126409188
BLAKE2b-256 480b1aec8a4bbfaca37dd41274f6981be38666fd506013efd50c518962971ce4

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: daqp-0.4.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 68.5 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 8364334d6b67b90c7f0fa1b311255037c0184c4e03ced70c3136fd5baeabfa61
MD5 121251bac87ad6c8a1485f99c9c9e45e
BLAKE2b-256 def03950e30e230189de0e833c1f74e9db8eab46aa010a66f97438a9a7d051c8

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 513f67e7c417dd1a71f71aa62855d3a0575f54b63d8c382dd155ed155ba61e52
MD5 d6f2eed79db561bb8793596ae1c7839b
BLAKE2b-256 aeb898271dc7862d7ce0fe687037d290058c01755e8e2946e1d4cabd18a436cc

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f115c0a1345e32a4d520263f9a8782e7ca346c94d21f8f1c7600ecd597fdf8d2
MD5 138cbce794d89c4270ad0d082e95adfe
BLAKE2b-256 e30151739d31a1d38148386bf2c89f14941827507290d4c0d0fc8acd46cdc4a9

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fcd209e732cf1fc2d5ed9951ea73301544847fe7dbd9ceae001fdca87a48332d
MD5 9c800d313128bdd7539009bcdced7fa0
BLAKE2b-256 8ddff7a3a1257af4a31edb0103670c1372efe9bd1396ca620c0874a6b03c2179

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8a854a2a6cea8265e0130351028013ab5d7cb606a0faa22c7d3d1443f705d5f2
MD5 4773d02f223d4b4da3e624d5cad658ec
BLAKE2b-256 0f13d87e4eca8899459c5121ae72fc1cabfac61ebe91d04b3bf23799dedc4fa3

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: daqp-0.4.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 82.4 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 301cc93b799bb214b24ca513c00b4b4fc5f130d79e8f98d4c0ee18e04b6545e9
MD5 1a1be4a936787fdd61ccfa8a4e9a578e
BLAKE2b-256 9ed298472d81ff2f87d9bd79a5153e1193b89e6f65a69f532989241aaacf8d7f

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: daqp-0.4.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 69.5 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 79b82454f53192311eb62939efc31019254d1e8d01e4c327b40df7d10f1808f8
MD5 316ab6e55f88e1e9943ef0785770c945
BLAKE2b-256 543aadc6d47dd67ad01dc3b0306938635f624319120f3ba1d3e14243907d8260

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 c3f601175a155ac00455c73dca5e24de9642d5b28d084f08b64ba417b9117044
MD5 341719fd7b67ab01def2db4bfd30b47a
BLAKE2b-256 5f7d133ca8d628898d8a8a9b076d987341ad2fbca67b649914c52b91dd038376

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e75b81e9cf5dc215372bc9ff56129b3c39e9ede38b388ef1ec67d0aae24aed76
MD5 eb730a08c7e99ddad5150c27cb31b3d4
BLAKE2b-256 4e477f04044085379059d96cfeb954bd907a1979e631056bef13868a7cfde7e2

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d7af8d7f77ebfa69912783008202771d5620e0d1752ec9275e3ef65e4b2ae503
MD5 2ba752a2c9203dc3dfa384bee6b1b7e8
BLAKE2b-256 c5c43b90509566accba12bfc635f0e1c8caaf03c10c12541aa36c5260530b45a

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 70a1109e3e84a14b9aa3433a54a367ce85a0a5680c84656b1ce57fedccd7ded8
MD5 11683c1918d7a36a23ef543abfd6bb5a
BLAKE2b-256 367beac3a7f2aedd215838789cf35328cc9a951c8465506983eca6bedbd281a6

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: daqp-0.4.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 82.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 eeaa2eadd2bb29fc1e724c02c32eecdfbcee516ec93e831aeca0ba904da5d162
MD5 90dfdc18e7d8fc87299b3b809b5475c9
BLAKE2b-256 c59dcb3b4eb84c0fc8c76b376778b0476010893183969c9acd2ecb92d117cfa0

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: daqp-0.4.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 69.4 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 60ac6dd22e0c14555f89a3e717a986134912931f43668880f096e6211fe925d0
MD5 29dbd2b304fea9e286af8216cc67be8f
BLAKE2b-256 6111a6ffc5ddc70de7b5119fe1c586d7da816ff1d1d26559392478be56b8568d

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 17d0d99b988444df6d8ab3d5233a66a59a86785aa922d9cf48af037628586068
MD5 7f0eb548b6ceafb7272bd0101d1bd1a9
BLAKE2b-256 d70bc5f16eb6fe90c9a2539b041436813b7261659de8514666f81ec91d3da821

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 28b6889d2872aa9fac52d8210a6420b009f20467bd786fedba9e61ceae2551ec
MD5 e4367ffd957b4c60cef7a3870eb80488
BLAKE2b-256 58039cf82a6fe85bbe617bbd2a5e5647b038ab2189273935fceb4a4d8ebf0e0f

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3acf5adae6b339e9ea2f30601a8609b9003a28e9ac303d2561dd4cf5625496ca
MD5 e44680009eddab4c4bbccf63544f183d
BLAKE2b-256 7b8290e8d8b3d82d7e911a237d90c6cdcdaca8885350b2a344cf486b23068feb

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a6a48025c972cfda7ab18eb114766e8afb4287afdd4eaf960a518785e62ea4b4
MD5 4efc1ce69374e0c1a08f4529c8fee950
BLAKE2b-256 702dbbef1603182a36124002e5752dde867361aeae1b740a4aa1c31fb421ce28

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: daqp-0.4.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 81.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 65973ebd8e5b05ac144273285acf51afb5aa3acd2386e799c8e54c2f7a8bb59e
MD5 f2d710ab47b5e2818cccd8c7d9275212
BLAKE2b-256 d285dab452e0a48c806cdced4f39f1036b3461bab38abdef29e8c2c41f4e374a

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: daqp-0.4.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 68.1 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 866bc5a45afc3902b27bd50caaf36cc14d24b7c681ffacfa97743a21aeaba177
MD5 11c587425f855ec0dc88d54520b85e25
BLAKE2b-256 2f46c227b1c7050b4f3a6b3504c2e91a5997686210575c8e34cfc8dfbeea5812

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 fc2a6491bd1c2b70e790a779d9ef4d2b7e5b029f9b9e3180a2bd498bff30071a
MD5 388fcb1d70b9b8d86f97e68396518275
BLAKE2b-256 9ee44ab2f7e976457504d60a08fb635a92397a0f4688e175e021611ca408e24a

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b7e2ed189a0f85f46ddeeac04af53766ab0f50e39604e7e8e04f3a4c497fca1e
MD5 384cf6cf1a3dd6f4d6a9e258a6ffb6cb
BLAKE2b-256 3f5200b9cad59a02b9b7bd3e8a673e52107775dd06cbdf7c48906d577fd2d0bf

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 42b58cdfe0facab9c0cc8606183234b920a5c72df55a5391fa06f907a46d492a
MD5 6b2daac95e1c1c58a02632b36df4a10e
BLAKE2b-256 069098e1eb9739d649dbe218116f1ebff8925fddee30f71b115e724a11925d1c

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d89067745162d4f109158d5fcfb14a6704efa3e6eab16d62a0100d1c938c93e9
MD5 4966cf5f164750ce4000702906ea0f95
BLAKE2b-256 b5676ee857281f7f8bf6ea7de5fbbe41dd4d8b82033be66c1b1100a449ee78a3

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: daqp-0.4.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 92.7 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 4c33f15b7b2fe4d788ad68cf4e20444600e280ddc09aaa4bf4ee737dddff1ee2
MD5 fdf84d572a783e23a33cf0daf03378c4
BLAKE2b-256 629d971422a883617c82a26918a489efca3356f955bd80a2490ac8a46c1a42b2

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: daqp-0.4.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 74.8 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for daqp-0.4.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 f398b4acc7e6740fb6f045c8680421c7873984c2a2811525b1da43e45edafd4a
MD5 def62c116f5b273ffb041dd9adf34f75
BLAKE2b-256 79d0e10210b9da7e59ff243be670681e50b270f79da945f1038abb2e3f11b9c7

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp36-cp36m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp36-cp36m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 8109ff177e4054628063f96fb36cb8527ae0939f59491ee1771462bb25d4c240
MD5 f364b8f5776de2faf5ddf9ee50224ce3
BLAKE2b-256 bd20d3ed6a1ec2c4afdaee50c574d10d77e29853dc62ebcbb2a670f9ca638b7c

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0eb8b704a9ec35b6b16c184586f43936a29263c78382e4bfdf872d2686a6c7ae
MD5 ae1fe79ad680ce49dcb49881967b9ab6
BLAKE2b-256 db27a53f2556ef3f809646302e8dd647e29a140898cdd1a64e0979617d1c3ee7

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 28bcb2bee9e89af2cf216736880aaafa888bbf411444ae9907b8123e0543404f
MD5 97f86aad367e2b723982f1eaaee47c18
BLAKE2b-256 80f70de643ced78e1cee56b66b86129eb3750cd9b8b459c49c6ba89a34c9c968

See more details on using hashes here.

File details

Details for the file daqp-0.4.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for daqp-0.4.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8a103d225b1abb4d04b65a4757c4f55db4b341c98691bf70ec1cc232152a0920
MD5 61e836c3e6b8838783236b27b6752215
BLAKE2b-256 6f9b2357953bea46b187b6bec2eccceb62d28667994d32996caee7c1d500dae2

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