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

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10.8.1

10.8.1rc3 pre-release

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10.6.48

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10.6.21

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10.4.22

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10.4.17

10.4.16

10.4.15

10.4.14

10.4.8

10.4.7

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BLAKE2b-256 09291efcf4c8eb86a8752773c917855280005096fa9112f3a08a28da57557c47

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Algorithm Hash digest
SHA256 b2843ff0388c75284db023533ef6fd9e76c651991fd07fe95ffd937832a28458
MD5 20b9633bb8bc23141f2705dff3952411
BLAKE2b-256 65de8205aa04fe878bd2fdac978bfe048bf9c7324bac39df0082f343b6b418d0

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Algorithm Hash digest
SHA256 3849af176e31116cb73d6a98ebdaebfa6ddc11ca339b7f2ce3b1ffbb00e8863d
MD5 6080f5392f383dcd1d9662a842ab277e
BLAKE2b-256 f988bd58ebab7b0fa670d6b78102214a6c5c47ace8723caa2cbd4483830064b6

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Algorithm Hash digest
SHA256 33aceca4943cc27ccc65ee7c5f2fb3cae55646f4d105243020de96804ae1adeb
MD5 5bfd40bd7db2c76bda02c25509f2e950
BLAKE2b-256 df8f6a8c5e7189cdc43f944b5351f65c123a5d73610cc7a9fc521f735a42e932

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Algorithm Hash digest
SHA256 7e54aa347e700ea3084be0dcac69211fa6b5f15b5a140bac68c707928da372b8
MD5 997c835c36d9e93ef35b9f15d21b6555
BLAKE2b-256 f497b77df22ee1b2f818ca8025a2df5152f2527012b6b9416f6bc28b44732f7b

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Algorithm Hash digest
SHA256 f46cecc28ff206a80242c4369684bebe761dd725003d35b7ca41073f577c5f2c
MD5 335d61439f74160a503db74a6db40512
BLAKE2b-256 4d31f3864fe6f6072527b9a1a257088a82ba17aaee8797fd3c1aca781f68c0c8

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Algorithm Hash digest
SHA256 ab07ea468ad3b4ce3285c2abed3153d806269a96ee85b30106136f716e4b36a4
MD5 4ee90ae35326e57223b1dc511f9519a9
BLAKE2b-256 9d75ca46ac8eb302a0f18590b70b631adb30b2f9ff09dbfd17472065a28a5bb3

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Algorithm Hash digest
SHA256 1ef73f01839e2107a97a71c1a1f19bbb087ec4ba3bb9391d4035cca6789ecd71
MD5 70b70e51cd1e12654acf4e6f327cef6a
BLAKE2b-256 75261bd2e68751f1d6518ab7485be12e94f78eba21a2f0b9a68f4c3bc508e085

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Algorithm Hash digest
SHA256 44640d859e8da7086d2a41990e3c64128d1c696378cef6ee86753e08303a8ae4
MD5 09fccd1f92d203aeafc3c321eade3411
BLAKE2b-256 8776c0eca66833f3bfb75b202b45c928e40b64bd33467ffbc9ddec9f94d7991e

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Algorithm Hash digest
SHA256 cdc167ad8320eaf727d059e5751768b8866f7565ae26f30e6bab5068cf43baf2
MD5 a1c034afb9cd11a30707a88217dbb72d
BLAKE2b-256 c226ce87dc4e0dbb62fdf933364585dab597db35bde359d367d008cbf13cbdf1

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Algorithm Hash digest
SHA256 59c150c15aecb750d32229cd8bbfd33c5bada6b0de3b66d1a6735e2568a9816f
MD5 83982d70a47c5f2742a6eb71ef2806bb
BLAKE2b-256 422257f7be0775fcaec7d564e1a4af4479f49e9bd7f255a1e51375c33e8efd2a

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