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passagemath: Linear and mixed integer linear optimization backend using GLPK

Project description

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 2005-2026 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:

Moreover, the passagemath project:

  • provides a stable, frequently updated version of the Sage distribution,

  • integrates additional mathematical software, notably Macaulay2, a full set of GAP packages, and the Combinatorial Matrix Recognition library,

  • curates a library of Sage user packages.

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, ARM) 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-10.8.x series are 3.11.x-3.14.x; the passagemath-10.6.x series (EOL 2026-10) still supports Python 3.10.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]"

What is included

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BLAKE2b-256 3a8245d2331d0580e6d89fd505e2059e9b520d6379f0faaf01a0e15a3800753c

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Algorithm Hash digest
SHA256 55b3eef55b7d34cf53ccb8e0cec4708e77471d44b820e2c9f0a3af969fd84a21
MD5 ca081de7f0e6bc91d3e22e3438a89cdb
BLAKE2b-256 c72c74658c50c02b97508dc86ade53eb49066f431ed3669136e758efaacc9535

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Algorithm Hash digest
SHA256 71aaa5d235714abddc1df2d802af33da78d8ab23053cd78c4062cbf519148d9c
MD5 69f2790fdd8e0b7b9401f0de701fad04
BLAKE2b-256 eaabeb5be7a125830218d39cc8084c24fab3a71121f8222d15ead41b7b87fe0f

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Algorithm Hash digest
SHA256 4f8338120e95f41ccb3f2435dc4a3c98a6cce8526d95df0238b81b489a0459b8
MD5 69b028061e8b4f1021a0ac28051c2a28
BLAKE2b-256 35511f8efdcd03fa311dca78437972d00c74b9e89dc49e9939eac3c9873d9910

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Algorithm Hash digest
SHA256 53514ed7f28b4a82132b0d36bb76cd8a54a33289201484a98f139a94844baeec
MD5 08eaa65a910720c574147ec7c022327e
BLAKE2b-256 0ccf2dc34abadd46c0f3c005c7b8b4fe6307593420bebb4d27f27ca79e44ca4e

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Algorithm Hash digest
SHA256 2e75d983eff643a0d4160cd1fbf8984af9867cf52139e2872a4abdec54689dce
MD5 acf757e368b8030189ae4b178ead1cd5
BLAKE2b-256 3616a828d563763beb168db765225f9b08e18859f8f13ea8794af0d22ba2bff5

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Algorithm Hash digest
SHA256 a248f62c3d19b2e04795be31147d010e49d12d3f8732f4223f34315c409a936c
MD5 ba86519ab47677e13f92b5bafa7dcecc
BLAKE2b-256 7365892948b1657bd2e6e27fd191e597ad09b73e7a6cd654b813712c232cebbe

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Algorithm Hash digest
SHA256 a425af7bbe776caa8ddb32d2d31e4142d550884a23c4d062d3b24c718506adfc
MD5 609ff4c93bcfffa2c96a1bd919a2f8fa
BLAKE2b-256 ea389952f89656470d96300b83001af3642c4c9747507a094ffef84ffbe2a487

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Algorithm Hash digest
SHA256 6446e83f7c70b9dc0a9a46cfb8b04e247d99e810b95d9d5b51410a90f0ee0cf1
MD5 88546e8867e11460e9d8ad36d031990d
BLAKE2b-256 251e78befa37dcbe98679237b682d168c2dae89b718bab9502c9d42a60a602ee

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Algorithm Hash digest
SHA256 33169ce2d5062488ce5600bc2f6d1797599b6229a7758fd049efc5cf57c6b8dc
MD5 de66f5c3ae2b3d5ec8b6aa1b9ffd11bd
BLAKE2b-256 af3f27a93d0975fba68700ab4edebc9a0b0d4ffd146848d614b33a9c48caaace

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