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

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10.8.1a4 pre-release

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10.6.48

10.6.47

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10.6.31rc3 pre-release

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This version

10.6.10

10.6.9

10.6.8

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10.6.6

10.6.5

10.6.4

10.6.3

10.6.2

10.6.1

10.6.1rc15 pre-release

10.6.1rc14 pre-release

10.6.1rc13 pre-release

10.6.1rc12 pre-release

10.6.1rc11 pre-release

10.6.1rc10 pre-release

10.6.1rc9 pre-release

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10.6.1rc1 pre-release

10.5.49

10.5.48

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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 11173dd6a9f2486ed9c0b7ba90fa0446332d7c4c6c34308bf7bf5b2daa1bcee0

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Algorithm Hash digest
SHA256 184dcb15a577c6dd54de1326455d2bd37d3d71a00e5f638d2673187e4f4c7f24
MD5 4b02b9956225ef6df72230f0a445f280
BLAKE2b-256 1315ef105dcfd7e3a2f51decaa20b3836275e1f9ac4d3972dab2e2c66df6408b

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Algorithm Hash digest
SHA256 6bf2a94a975dc6a18ac7c4de7c54fa4726ade485c3fcb9a265ab438e4467c432
MD5 cd2a60caad4fe311225738c04f08aa5a
BLAKE2b-256 7a3a2378d7d041a4cb2524cbaba78423895861637d72d4aa755db1bfefe2d93f

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Algorithm Hash digest
SHA256 c2bf68b6d6b50802538e50b8ffcb9940b9d344d8a7cd319d5fd0d81db318fc48
MD5 895d8b2a12c8a7d4aedaa39b51f95de5
BLAKE2b-256 76398cd7f0038bade524a7ae6599d50c9cb3992d19c2ca85adb74d0da792050b

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Algorithm Hash digest
SHA256 6fc9905a1e17a014e2ff236e509f52d60951117db362c0ff0621401fa6f5d61f
MD5 929ab86d5c0a978e7383d4990ac8cbf4
BLAKE2b-256 b18ca97a41694dc09cf4cef4b9b22d0105f42b79a63040dc1aab5a8debee4075

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Algorithm Hash digest
SHA256 ac9a463e5a125a0ca6e500459218e089952db87d38f24a6868ecefeb7b346725
MD5 cfe2a7ed95d65e543f57ac4f08c135c8
BLAKE2b-256 34262baab85075b5a0e344fc279f65ec559598b58ef391c87ee3780ef59da231

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Algorithm Hash digest
SHA256 eaf3f5d26f3cf3cfcc34fa9abd8d642019963f5de2c3c4c1524693871abfe781
MD5 e518fa54055c591acb16d6fa8ed85aba
BLAKE2b-256 9e9b0d8edcbb699dfea4c88e3ac59616939e09f51e52be377e1df7d3b96eee71

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Algorithm Hash digest
SHA256 8def9653677f3a6fc6ca0638ffef169dc0ede34830c988881709b8c93dd662f3
MD5 9c3f6e20bd94ef1ee51133de35f426a2
BLAKE2b-256 fbcc428b2905b985b088bc116d0c259ab3d45f51630bb70de3f2470c57254b42

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Algorithm Hash digest
SHA256 c9331e5b2990f77b8d7606af5fb5cb699b3ec89bef31f6191cc2d3f4bbe742a7
MD5 d359e1e8601ed4a81bfc056003a8f7af
BLAKE2b-256 b62edd6309088da115b0df1a627b599aea48b0658162a5a59ebbbaf64ee0a9d8

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Algorithm Hash digest
SHA256 6a0e27711d42949d2b1035b4c48c880ca50fb7b08e1aa63cd6e3412417a86fd9
MD5 c829f67be6ad1a2ac90ada276ee3fd96
BLAKE2b-256 28f682ac3ced3cf05e9858b0407d9ecdc4b9786ecaa23c221b4cbc75b07e16c7

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Algorithm Hash digest
SHA256 b1673acfb6b5357b5361b251e59a57a55100d04ce6bef5f7a3db7114cff149f7
MD5 39be20cb68889062cada9efeead32e19
BLAKE2b-256 db68cb931365cf87568c504af35aef390b8538f13be53b2e97c54bca9a88b5bb

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