passagemath: Linear and mixed integer linear optimization backend using GLPK

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passagemath is open source mathematical software in Python, released under the GNU General Public Licence GPLv2+.

It is a fork of SageMath, which has been developed 2005-2025 under the motto “Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, and MATLAB”.

The passagemath fork uses the motto “Creating a Free Passage Between the Scientific Python Ecosystem and Mathematical Software Communities.” It was created in October 2024 with the following goals:

Full documentation is available online.

passagemath attempts to support and provides binary wheels suitable for all major Linux distributions and recent versions of macOS.

Binary wheels for native Windows (x86_64) are are available for a subset of the passagemath distributions. Use of the full functionality of passagemath on Windows currently requires the use of Windows Subsystem for Linux (WSL) or virtualization.

The supported Python versions in the passagemath 10.6.x series are 3.10.x-3.13.x.

About this pip-installable distribution package

This pip-installable distribution passagemath-glpk provides a backend for linear and mixed integer linear optimization backend using GLPK.

It can be installed as an extra of the distribution sagemath-polyhedra:

$ pip install "passagemath-polyhedra[glpk]"

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10.8.3

10.8.3rc3 pre-release

10.8.3rc2 pre-release

10.8.3rc1 pre-release

10.8.3rc0 pre-release

10.8.2

10.8.2rc4 pre-release

10.8.2rc3 pre-release

10.8.2rc2 pre-release

10.8.2rc1 pre-release

10.8.2rc0 pre-release

10.8.1

10.8.1rc3 pre-release

10.8.1rc2 pre-release

10.8.1rc1 pre-release

10.8.1rc0 pre-release

10.8.1a4 pre-release

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10.8.1a1 pre-release

10.6.48

10.6.47

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10.6.30

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This version

10.6.22

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10.5.49

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10.4.29

10.4.22

10.4.21

10.4.17

10.4.16

10.4.15

10.4.14

10.4.8

10.4.7

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BLAKE2b-256 d41494eb378bdd5d9adbfd60d40f76bd744a2c372080b1ac375a4026d784030d

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Algorithm Hash digest
SHA256 0726dc294ca33c8cf061b4f8df0a677baccb5662c832de1bab9fd39e4fe358c2
MD5 669687f721d068f97040702333be76ae
BLAKE2b-256 e7c9595e3c29cfde4b789ca064e315f166055984f72354c5416e0903f2b8fc47

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Algorithm Hash digest
SHA256 86876b6c3bb03b5a0c9f28ae592a519be919ecf2e098531bfb50d2c372f8edfa
MD5 58ca68c37160ba380b69ed1fd93f0d2b
BLAKE2b-256 730ba89d2e70dcfa44e85b6865249d99c406cdbf6c88748b492d1f4bf78fc7ad

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Algorithm Hash digest
SHA256 2be2d071303e3b7d52926c2ae7942639dfe6fb065de7e7e6545035aa9b372750
MD5 1d34ed3af27c3675a192b50e3cde5a9c
BLAKE2b-256 b4a68fa63854cf7ad8742eed1200a947217a482e77a36f9c1153e3e8f6012301

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Algorithm Hash digest
SHA256 005cc6c1a51233b0bde9100ee67059096e9d9481e7fb5a65759c06b6065e4836
MD5 d2958391ed632e77a1d9f364f67b9e5b
BLAKE2b-256 2b5d40efab6effb164d0b48abf0fc355a0f865cfabbecf4e7e362a5e595eae8a

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Algorithm Hash digest
SHA256 88e57ebfce246795f89e48525cf48ee2fa9d222c6123b12d62823f0e335ecd71
MD5 1245d25bcd568f4af778065fc3f0e5dc
BLAKE2b-256 55571394d3b3b6e3e3fafe1f7768e91be7768be656e86059ec44943e0387c55b

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Algorithm Hash digest
SHA256 81bf24d32cdf91a3248144db25592a95c462fa80362a4a0241e9cac3a7da6460
MD5 dbe2c0f05f0cb962e6b0f38d8172148f
BLAKE2b-256 ba193faeeb94bd64ad3991a2e99badf25ce3d9e5971fdf2de2068f2fd10562d5

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Algorithm Hash digest
SHA256 acf9923c6b837eb39b86e4b7bad35792b108b174bab771907e47c16691b5319b
MD5 43ce740773e54693d4a04869abf1da52
BLAKE2b-256 3e9bbf1478ec072bd5f6facb77219bf9b2ddcd4254fa2741f33f42b4fa53519b

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Algorithm Hash digest
SHA256 08fc77fbef9e434e41b75c028e064a7a8f0b5e49fd1b099d74ba56a9ae553dcf
MD5 871633e5d5146e253e536b7be58dcde2
BLAKE2b-256 65f0c807f439544ef679ba9a484cc119d3325e4a70b067aed73f8f2951c8c0df

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Algorithm Hash digest
SHA256 6bdb554c36b0a5d388a3ec497c03ac7d1749a678c0dfd08ff6c68836f4468d1d
MD5 70ff4db61a6987f139e0505fb00a99c7
BLAKE2b-256 b5f81476097dd374aca21c93edc181fdf50569ad901be5a0f693c996ac9f21be

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Algorithm Hash digest
SHA256 94ffbaa544be5822107be800e513719c7303e7f7d7e880e31ca0b21238647a05
MD5 c3f078aafa6e6f1bfa0876a28e3d3e14
BLAKE2b-256 c91432d0c5ed4da52e4b5e3588815050cca4c02172e7a03778a4c89335b2bcba

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