The Python interface of the Cardinal Optimizer

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for copt from gravatar.com copt

Unverified details

These details have not been verified by PyPI
Project links
Meta
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for copt from gravatar.com copt

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

8.0.4

This version

8.0.3

8.0.2

8.0.1

7.2.11

7.2.10

7.2.9

7.2.8

7.2.7

7.2.6

7.2.5

7.2.4

7.2.3

7.2.2

7.2.1

7.1.7

7.0.6

6.5.12

6.0.5

5.0.5

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

coptpy-8.0.3-cp313-cp313-win_amd64.whl (22.6 MB view details)

Uploaded CPython 3.13Windows x86-64

coptpy-8.0.3-cp313-cp313-manylinux2014_x86_64.whl (23.8 MB view details)

Uploaded CPython 3.13

coptpy-8.0.3-cp313-cp313-manylinux2014_aarch64.whl (16.1 MB view details)

Uploaded CPython 3.13

coptpy-8.0.3-cp313-cp313-macosx_10_9_universal2.whl (28.1 MB view details)

Uploaded CPython 3.13macOS 10.9+ universal2 (ARM64, x86-64)

coptpy-8.0.3-cp312-cp312-win_amd64.whl (22.6 MB view details)

Uploaded CPython 3.12Windows x86-64

coptpy-8.0.3-cp312-cp312-manylinux2014_x86_64.whl (23.7 MB view details)

Uploaded CPython 3.12

coptpy-8.0.3-cp312-cp312-manylinux2014_aarch64.whl (16.1 MB view details)

Uploaded CPython 3.12

coptpy-8.0.3-cp312-cp312-macosx_10_9_universal2.whl (28.2 MB view details)

Uploaded CPython 3.12macOS 10.9+ universal2 (ARM64, x86-64)

coptpy-8.0.3-cp311-cp311-win_amd64.whl (22.7 MB view details)

Uploaded CPython 3.11Windows x86-64

coptpy-8.0.3-cp311-cp311-manylinux2014_x86_64.whl (23.8 MB view details)

Uploaded CPython 3.11

coptpy-8.0.3-cp311-cp311-manylinux2014_aarch64.whl (16.2 MB view details)

Uploaded CPython 3.11

coptpy-8.0.3-cp311-cp311-macosx_10_9_universal2.whl (27.4 MB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

coptpy-8.0.3-cp310-cp310-win_amd64.whl (23.0 MB view details)

Uploaded CPython 3.10Windows x86-64

coptpy-8.0.3-cp310-cp310-manylinux2014_x86_64.whl (24.1 MB view details)

Uploaded CPython 3.10

coptpy-8.0.3-cp310-cp310-manylinux2014_aarch64.whl (16.3 MB view details)

Uploaded CPython 3.10

coptpy-8.0.3-cp310-cp310-macosx_10_9_universal2.whl (27.8 MB view details)

Uploaded CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

coptpy-8.0.3-cp39-cp39-win_amd64.whl (23.0 MB view details)

Uploaded CPython 3.9Windows x86-64

coptpy-8.0.3-cp39-cp39-manylinux2014_x86_64.whl (23.9 MB view details)

Uploaded CPython 3.9

coptpy-8.0.3-cp39-cp39-manylinux2014_aarch64.whl (16.3 MB view details)

Uploaded CPython 3.9

coptpy-8.0.3-cp39-cp39-macosx_10_9_universal2.whl (27.8 MB view details)

Uploaded CPython 3.9macOS 10.9+ universal2 (ARM64, x86-64)

coptpy-8.0.3-cp38-cp38-win_amd64.whl (23.0 MB view details)

Uploaded CPython 3.8Windows x86-64

coptpy-8.0.3-cp38-cp38-manylinux2014_x86_64.whl (23.9 MB view details)

Uploaded CPython 3.8

coptpy-8.0.3-cp38-cp38-manylinux2014_aarch64.whl (16.3 MB view details)

Uploaded CPython 3.8

coptpy-8.0.3-cp38-cp38-macosx_10_9_universal2.whl (27.7 MB view details)

Uploaded CPython 3.8macOS 10.9+ universal2 (ARM64, x86-64)

coptpy-8.0.3-cp37-cp37m-win_amd64.whl (23.1 MB view details)

Uploaded CPython 3.7mWindows x86-64

coptpy-8.0.3-cp37-cp37m-manylinux2014_x86_64.whl (23.6 MB view details)

Uploaded CPython 3.7m

coptpy-8.0.3-cp37-cp37m-manylinux2014_aarch64.whl (16.1 MB view details)

Uploaded CPython 3.7m

coptpy-8.0.3-cp37-cp37m-macosx_10_14_x86_64.whl (17.5 MB view details)

Uploaded CPython 3.7mmacOS 10.14+ x86-64

File details

Details for the file coptpy-8.0.3-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: coptpy-8.0.3-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 22.6 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for coptpy-8.0.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 1e4caa7c483149125f34ee4774e292547f6730ee3439b235921ea77bb718dd56
MD5 7a441e3d9d80e8570aba1dcc486c7cfd
BLAKE2b-256 fd5df8c6716c018314214516f2e5bc5d125922506b9aafa46581b92fe5ade86b

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp313-cp313-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp313-cp313-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 12912dc2046a6e9a15a6b39e4dc604b37752936ce26ce829677b96c36c1e1bc5
MD5 6e28ffcadb497b62b2177f54c00d3dd8
BLAKE2b-256 e47d011b7a6795fc14557ce31ff8d079ddd295fc0c27024cc7c4bfe016576f80

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp313-cp313-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp313-cp313-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 772c496afbb22cc0a1b95973667be1ac6f3632c25f1ec00a8e3976b0e13a4146
MD5 c0af69760c480293d62dece1176923a3
BLAKE2b-256 f04b0f2b8eec0cf078b48d0e956390be5e682129e3588fa8b76dbc4c25cfacd0

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp313-cp313-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp313-cp313-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 b06e152249aeadad754949100ed61b5a0a6f57bb7c2b5f8afe425723cd3bfd16
MD5 46395d44b1f3400f6564896f27618a0b
BLAKE2b-256 251389f3e08e5eba73baa578a13ac7152b622aad144fc205407c1677bfa7f6ef

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: coptpy-8.0.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 22.6 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for coptpy-8.0.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 3515309679f81040f616ae4686e8a8c46d8ab807a2386a2e2de547b4a2f3daae
MD5 0522cc880959e641a99e2afa25803b36
BLAKE2b-256 d400fc0c224c315187004e35159c94a506cc4bca68003eec2ddaac694eb086ec

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ee705758a8f9c3f62ceb31fe3f10d4ee73c870e3e94d5484ee4a0584a7f81686
MD5 d1bff811ec089409d1a95dedcc719c66
BLAKE2b-256 13820b277133f2bdef5130d33ef02336846d81f6d4a0e02bd015712564205d90

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 646085a9a98eff929a4e674ee3980c2827fa8a056c632bd7cad5ee284eea0c67
MD5 73f16ef6fa07a16ae14d84e5d976c5ec
BLAKE2b-256 e6ef20456b00f848e7cb7c63ef8c3433160ca3da7d8b5a195157831a3632b325

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 9495764f5b51635c76d88f5cbe9c6e532a37e5a1059e74bd6fcfd41bbdc52a63
MD5 162e0bdfc35ba7c80519066b9b324132
BLAKE2b-256 d359138ca300df8b56ec64a251e0ac7a416e0c72dda714324a63ad656652386d

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: coptpy-8.0.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 22.7 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for coptpy-8.0.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 4660ca4a4308e6d60f7cdd72d5261db46f0d9691f91d8ae4c1722bd64237671e
MD5 e2c5e983cb93a596584570555d9f3f83
BLAKE2b-256 8531418dec3896a6ff0f80693c007de2c7e3694d590b15173831832672f7c732

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3bd8a1a87a8d0f94ac2af850f620d23d3d8e5f8f97708523b2dc947b92f5a492
MD5 8028981b3dae40d78b83a6c0749f479a
BLAKE2b-256 7c64c541d57d2d744852555c52ad2a1f8f4e87ca0383abc14d7acc53aac465f7

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fcab7b79f0abb6519e9db008d8e6a4b79c6e4d66c3731d6b42bb5e401faf21bb
MD5 994303d1f8acc14428f3586943426d89
BLAKE2b-256 9fd910ce07f008234d8f80a9976d39751884a1de6fd2e9152e84145a645b7733

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 f94885836dee32011bff2cc2aea851c0ad4c3859a04fd2329a8b2d65d2768f9e
MD5 622befa2138fa370617942ddae4e0921
BLAKE2b-256 f39580cf18cadc98d2b8ae540e5525793048172a725a96b64cd4827885a3169c

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: coptpy-8.0.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 23.0 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for coptpy-8.0.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 4c2528e670d38790aba824b0922d5ed86e4357a74429b67ca6c6531cff0a1caa
MD5 471717559b7bb9e7d58ae9896ebca30c
BLAKE2b-256 3d78bd427c22b2c3ebdbb86d93a062cd565bf8f47805fac8e49b4b14c8b8645b

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 81eef046dcc7f4d59be69adce84ddeed8a0edd8dcb3c1681204c8b592ad05061
MD5 2c508f68bcba57f19f026855ae3d86a3
BLAKE2b-256 02a27cf1db3bb20d21557f329df13f6ea2a94f3f8f6b3786beb124ca678bf8fa

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 601c2f95b4f4b1c527a3f5dc0f84d9bc76f38a8eda29a26add6b6240f2c80253
MD5 d62216aa051299cf70a5fa18c9571ec4
BLAKE2b-256 3ab1fba3fc2b207ef40bff2d190fb263cec716c9ea9e67d9a34e3b73a01fbbe1

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 69896639e2ec52b5a73e4b95e3194f3a85e23df755c2d53042693a1fa85fcaf1
MD5 2e3354d5626d18bbdaafe67ba46000bd
BLAKE2b-256 569f7b8751281dab69c1b1b752266f7c92a460e6464ef53c897dac1b682e6cbb

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: coptpy-8.0.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 23.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for coptpy-8.0.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0949b474e7680c6702eb491940aee5e7cc2b412e3630731b3e91871b1a0289e7
MD5 c879a5461bf7eced64931222f0793aa2
BLAKE2b-256 9f4fd64c6fbf91b129105f87907e8f2ed48030cc212d10994b32663b046b6cb3

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f08bf6ea3ca80e2359b75d5091378cc9203f171d9b61605de4dcec377a196bd0
MD5 6bed5f2c39261915ad25070456b3249f
BLAKE2b-256 a8935b4468f41f1cf782ed08d93754fc3383a2bae29d25a7574c89d86b913824

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4a92035151da1ba8e5e5b3dca8e6be679eff9a9c8114a38f6c955901e54f399b
MD5 15b9f509e83e959beef479cf8d8ac1ea
BLAKE2b-256 f62053d18b53459559fba9893fd9a5b92d551dd8f1fe21b33113af0696871673

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 2e88fc98af917a96e7fb5db4c8c9cbf37892ab352abe7ceded3b553819dad3e9
MD5 a70bcf71ebedfaa616c9850cf96b82b1
BLAKE2b-256 0d5fc27181dad0b894ec4efc30befeb20ab1dd96ae684175341e38fb6ac11156

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: coptpy-8.0.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 23.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for coptpy-8.0.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 483ab2cfc8cb60bf33e9a4e5903082799e295a7c4a269a5cdcf0f58891f1f021
MD5 94e947d510d64213996063f64e33055b
BLAKE2b-256 2ee38ac0030b6b7634306872bcbacbd55c688eca19d13388de6d4f4acbf76b0f

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bbdd194bf79f5901f289b2b9f7bb8abe6794ef2943f0f331e13cbd383dfb01b3
MD5 ad757e58522de130d7d3aab37f4c7248
BLAKE2b-256 7761d1b142c645670d662e51d5985c7192d6918399339b181bcd586eb2b38291

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 075ff5146e72a4c1afe8f427a745ea01d4dd840eac5af237d864e2c7b62159bc
MD5 ee9b40346b1f23b50525664392c3875e
BLAKE2b-256 ebe17f71954a6a9e4a5ec4457c6cbe646b2f51cad7a99e28e3a852b53be23834

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 2dc0e33eed8fbc368051e1306bf7826f9b54553ddbf978271297dfa297d97935
MD5 67bdfacc65cf6e997c62ae9210b717f1
BLAKE2b-256 3f4c8fce10a4d25a28578c87140b0e099ddb94877d8cdb7c74cd180fe0157443

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: coptpy-8.0.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 23.1 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for coptpy-8.0.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 5bce4291a3d0e2529f96a497a6bbe5314a969c7414dd65f67e742c48cb28f183
MD5 be5786990770865da477854e4bc1a1c6
BLAKE2b-256 ba9c50cdf43c7d3ad7fa61d54477425a7873ff0625f46374e20e5a37065700af

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f1bc4b4577d95c78be639b0a27f3933a9546c41b13e86862de8e2ec78326afa5
MD5 8c7135668a15ebdec24fc405ed1c37dc
BLAKE2b-256 57e7b32bf21f58ae74faf689c05a2d339edeb584c9d3554aaefe5ad8078a918c

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c28cbb1681c36ee238e13583c7acf51e5d62bd20c4becf11e3601c45b11c7acb
MD5 3405bd4de106de186cdd7471c979f931
BLAKE2b-256 0ee00c189bf6f619a97234033eec911269aa2358d2da1f5983f933b59dfa32c6

See more details on using hashes here.

File details

Details for the file coptpy-8.0.3-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for coptpy-8.0.3-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 a57e8d406219a73ec57a74fc436b793a18e5ff46dd755e3f92380cc9f10d9431
MD5 ed70db06b992bf0890bac480bcbcb88a
BLAKE2b-256 7b4e3569641df8d11687c7942474456eed6bd0db931090f2deb6a6654ae751b5

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