Nonlinear Programming Solver

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Requires: Python >=3.10
Classifiers
Report project as malware

Project description

CONOPT for Python

CONOPT is a Nonlinear Programming Solver. Learn more about CONOPT at https://conopt.gams.com.

This package includes CONOPT libraries and the Python interface for CONOPT.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Requires: Python >=3.10
Classifiers

Release history Release notifications | RSS feed

This version

4.39.0

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.

conopt-4.39.0-cp314-cp314-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.14Windows x86-64

conopt-4.39.0-cp314-cp314-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ x86-64

conopt-4.39.0-cp314-cp314-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ ARM64

conopt-4.39.0-cp314-cp314-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.14macOS 13.0+ x86-64

conopt-4.39.0-cp314-cp314-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.14macOS 13.0+ ARM64

conopt-4.39.0-cp313-cp313-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.13Windows x86-64

conopt-4.39.0-cp313-cp313-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

conopt-4.39.0-cp313-cp313-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ ARM64

conopt-4.39.0-cp313-cp313-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.13macOS 13.0+ x86-64

conopt-4.39.0-cp313-cp313-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.13macOS 13.0+ ARM64

conopt-4.39.0-cp312-cp312-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.12Windows x86-64

conopt-4.39.0-cp312-cp312-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

conopt-4.39.0-cp312-cp312-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ ARM64

conopt-4.39.0-cp312-cp312-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.12macOS 13.0+ x86-64

conopt-4.39.0-cp312-cp312-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.12macOS 13.0+ ARM64

conopt-4.39.0-cp311-cp311-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.11Windows x86-64

conopt-4.39.0-cp311-cp311-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

conopt-4.39.0-cp311-cp311-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ ARM64

conopt-4.39.0-cp311-cp311-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.11macOS 13.0+ x86-64

conopt-4.39.0-cp311-cp311-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.11macOS 13.0+ ARM64

conopt-4.39.0-cp310-cp310-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.10Windows x86-64

conopt-4.39.0-cp310-cp310-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

conopt-4.39.0-cp310-cp310-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ ARM64

conopt-4.39.0-cp310-cp310-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.10macOS 13.0+ x86-64

conopt-4.39.0-cp310-cp310-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.10macOS 13.0+ ARM64

File details

Details for the file conopt-4.39.0-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.0-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.12

File hashes

Hashes for conopt-4.39.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 b0ea20c5da877e8cabedf48407d3a77cc64e312fd2d6fba0dbfb61098bb6146d
MD5 de1cca0d59bcaca41bcfa655d55e2b9b
BLAKE2b-256 404b7df4673e4aea9973cd3dc9c62c3039b963c00a9f56baf1242e7b69fd1d3d

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp314-cp314-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp314-cp314-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 478360db46e8283c6db0f2e05e9374591f5c7bdc31729f6fbecfe2fc399bc281
MD5 dabb846fdf5e4839f016995e4246fb2d
BLAKE2b-256 cf5d91a48264fceade320ced06397c2f8d1b20e61e3b8862877a74205a110e3c

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp314-cp314-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp314-cp314-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 489d3a580e87cb1150045e0da81bc6505a8497435cca16636b1d7ae63704cd24
MD5 1b9b8cd84c9a1b517b6a65bead597cb3
BLAKE2b-256 259294a3499f7b4b7df18aea52b2272c381f7b2cb6bfb829b20d9444d7ec6f1e

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp314-cp314-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp314-cp314-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 3150aae4264785e22a71a4064bf2d9beaf5d0f73415205630f6402b502c0e0ea
MD5 f0aada70b8bc267b367a0be251f873c6
BLAKE2b-256 17b1292293c146288612ef81db1a11702b9c7296d91d176068538c3e4777a69b

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp314-cp314-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp314-cp314-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 661b0cf1096836f2a667f8ed07080f8473d9d0861ddd19265a46c90a2316f5d1
MD5 50b7c4e25772d432e0f5355e4a8aa180
BLAKE2b-256 cf8d99ea5dff4c208d13a30b892cb86ad550884d5f09659ec6023d44d88e20c7

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.12

File hashes

Hashes for conopt-4.39.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 36231386de738ae6c63e1122141c69791d3297f753e26beb234a5862d1a68c35
MD5 24185ab9996776c4a2c3ddea7b7da87f
BLAKE2b-256 784de35aee2909dd551c695db10d9a4e575f8c3c7576cc3abb8acc07c4861269

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 2528f2ee26ff997922812aa1914dbbf998ac77d84d72e846d7777ba3150751ee
MD5 8f49c5a4ccec6f1b99eaaed727a70d01
BLAKE2b-256 ba32f279337c688be350632cf2ce2dd85f5721cb051cd674380978bf09b59e35

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp313-cp313-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp313-cp313-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 1556038567b7abb22a0cb849a0c431bc8eb2ca1f76b657e33f18f11f66fbde0e
MD5 0899b55642197e3fd5ce23a2ecadc4e0
BLAKE2b-256 8aae4914e844a6ff19f3dd62205a3707b659aa02623350fb99205b3be2d44535

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp313-cp313-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp313-cp313-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 4b3288cf0a32bfcce40a7111a2e46477b8a98fbe3d0a386244fe002ea6ff2bc4
MD5 3636bc7355dafec835b75b8dd7f5c99f
BLAKE2b-256 d02a7bcec6d5bfb85201d8e56a1d9ff17a46142876e39a43d2581e7defb5f880

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp313-cp313-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp313-cp313-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 dcf8efb75fce040bdb1d013fdc9d8c9c8f225fe0b43f376008646472753ed945
MD5 09880d1bf75763070401de5142134cf1
BLAKE2b-256 cae31b1f3730eec48ab281e203d5952cb5bc08fba6e4f9fff6b64dafa1850cba

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.12

File hashes

Hashes for conopt-4.39.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 a24019c08b801ecb8d1342542164dee881d079bb4bb618f7fba1234e872ffc9b
MD5 554fd346a465d2dec3c23fdce1ee2ae1
BLAKE2b-256 21ee690865009a0eac6f2ae2fbf657716b9e0f214f7ef728a70e425e7e314ee4

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 98bee49464b920004a929e624c49b8a2943840189aa9cf04ce770541c0975118
MD5 9bef8739a62e37babd31e1d41a5bc079
BLAKE2b-256 5a843b0cee5afb732c7e021e6b3b20a92c8355f17134e6e23576409e8f3e502b

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp312-cp312-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp312-cp312-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 2b1dba9b8d0c7c7e0e906b70fad35f86a2124b3012f5e393881475a545662129
MD5 dc7ebd29afd25f908b025c55912cd89d
BLAKE2b-256 6ef6bdeb37e446b382133808be5b02a005fa9a9bb09c28aa5552866112c798a4

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp312-cp312-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp312-cp312-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 11c3590d8608de660b30b4e849fa3197289282af65da780efe279ed4ea1984ac
MD5 6e93e4c9486723028978b235d17b98b9
BLAKE2b-256 47e47bbee061296391ec511a25719ce6d10d03033b39b23ff2ded7d3e41e16a5

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp312-cp312-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp312-cp312-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 ac1fde3881ce0c07d819dcb240ffe874e0fbebe49764b40ce9227284885009c2
MD5 04a2bde935b765b5d2e2ffe4eb9eb64c
BLAKE2b-256 23e3c29fc883ddda238d7d0890afb41ba71522cc0492e09f05a3b4af1e71beef

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.12

File hashes

Hashes for conopt-4.39.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a08ebe100ded54c535ccf8025e1ae2304cac4f940e75ad8582f48b6a7f50e814
MD5 33cdd216745a8e63d3de5e1ab99f0c13
BLAKE2b-256 627cd7026279206d0ec1a4200ac422b213d68a42f633b127665c381bbf6d6454

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 bef966b7cbf09e2da45e0629bb273fa3057031c428e34788f0c0024016432ccc
MD5 4764bc18895ec6d034bb70809acb4f0d
BLAKE2b-256 8951c5c4b264d65537e0bb9415250bf48a617d4f692914d10e1af44f338ea9ce

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 1ae926c1c52f148a835cfdfd01f5988132ace5f6b75870523075c0bcdac16591
MD5 340cb2aedfa08c53589326d538d1940c
BLAKE2b-256 5c08ec6a3ee83413316f79b672e92fe2e00ddb175d933cccc4276674b8ffcdb6

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp311-cp311-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp311-cp311-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 98521c90965827dcbc554a2ebfee10a2d3d2798757973736bb96192c85e8a93a
MD5 95eb38d227f3157a4912c4222e5be600
BLAKE2b-256 6e30059a105ead7d9ab24cbefe97423cf5e613fc8a55a6e371a2225f2176b093

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp311-cp311-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp311-cp311-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 7ae71e95168258fd5c363da229630efe34df10ce741cb7cc0d51d3c27dd712b2
MD5 1e8cea4316805a15bcc1d3a195777dc7
BLAKE2b-256 d4ab1bb785aa82964d9a3e55836ac789d5dc25dce5c510508b9b1f373bdd4e3d

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.12

File hashes

Hashes for conopt-4.39.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 d4742aa44c523ebc0127e4433fda83fe83762f239f179e328c439a2944e087d3
MD5 be2eec7ea87ac15774f264100652b741
BLAKE2b-256 06a8f968138ff9bba6bd75e109ae89b48f9a0512fa032d6ab3c5ae3d47ff78f5

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 77e0f5330418773023c34126b86bdf39f726e0eb7e1abc82f421e84a95b63ff4
MD5 d55ecf6948d365b4ed370bb94022a913
BLAKE2b-256 dbee791540c44e00c3e2b133d92a98b36fc8fac1a3e338118401600bb3ab33d3

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 badd7010105702764f8b920839bcd55a4c49ef87f9743f0176a567dc3c9b880a
MD5 ed3986c568c5f9dae51aed0fbd4edd44
BLAKE2b-256 ab6f7aa1d3f6d56008a493c159580f90f8924fb9868cbe99ec2a1627df5eb476

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp310-cp310-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp310-cp310-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 1b68fba11733aa32355bef3109f101399e581b11a70d9c16d0ea4e070cbb2ce2
MD5 f353fdfcc9adfad445527e247ec3c3c6
BLAKE2b-256 f5c3767f528d0ee5816dbdce253aec3874838475a5fc2f16fc703957fbe1906c

See more details on using hashes here.

File details

Details for the file conopt-4.39.0-cp310-cp310-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.0-cp310-cp310-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 e66478d551303e071392827cd1421bac7afa170661adfccff8a4f18d38a2dcd8
MD5 3752e4008ce79193e2bb633d3bc04fd9
BLAKE2b-256 2f0e536ed338987db9b6b22091fa10fe856567d075b82c6de434573ec5a90bba

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