exvis visualizes MIP instances based on their expressions (variables and constraints) as a graph.

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  • License: MIT License (MIT License Copyright (c) 2024 Marius Merschformann Permission is hereby granted, free of charge, ...)
  • Author: Marius Merschformann
  • Maintainer: Marius Merschformann
  • Tags mip , mixed-integer programming , operations research , optimization , visualization
  • Requires: Python >=3.10
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Project description

exvis

exvis visualizes MIP instances in .mps & .lp format based on their expressions (variables and constraints) as a graph.

Installation

pip install exvis

Usage

exvis --input data/example/enlight_hard.mps.gz

For further options, see exvis --help.

Preview

Shown here are visualizations of instances from the MIPLIB 2017 set.
enlight_hard enlight_hard eva1aprime5x5opt eva1aprime5x5opt
neos-1171737 neos-1171737 neos-1324574 neos-1324574
mine-90-10 mine-90-10 peg-solitaire-a3 peg-solitaire-a3

Many more images of files from the MIPLIB 2017 set can be found here.

Known issues

  • The applied networkx functionality may eat up a lot of memory for large instances or run indefinitely.

Project details

Verified details

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

Unverified details

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Project links
Meta
  • License: MIT License (MIT License Copyright (c) 2024 Marius Merschformann Permission is hereby granted, free of charge, ...)
  • Author: Marius Merschformann
  • Maintainer: Marius Merschformann
  • Tags mip , mixed-integer programming , operations research , optimization , visualization
  • Requires: Python >=3.10
Classifiers

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0.1.0

0.1.0.dev2 pre-release

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