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Matrix Model Generator for Implicative Connectives
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Brandon Rozek 6d7fc9094a Add flag to ignore constants during model equivalence
2025-06-17 22:05:45 -04:00
examples Added another example 2024-10-15 10:30:14 -04:00
utils Add flag to ignore constants during model equivalence 2025-06-17 22:05:45 -04:00
.gitignore Initial commit 2024-04-08 23:59:21 -04:00
common.py Check models in parallel 2024-11-26 16:24:49 -05:00
generate_model.py Pretty printing 2024-05-29 13:50:20 -04:00
logic.py Removed unused inequality rules 2025-02-09 11:18:52 -05:00
model.py Add flag to ignore constants during model equivalence 2025-06-17 22:05:45 -04:00
parse_magic.py Code cleanup 2025-05-03 16:42:15 -04:00
R.py Fixed misusage of Model constructor 2025-05-26 17:35:05 -04:00
README.md Updated interface 2024-11-05 13:19:44 -05:00
vsp.py Transformed subalgebra generation from exponential to linear 2025-05-13 13:22:28 -04:00
vspursuer.py Flush print 2025-05-13 12:53:46 -04:00

README.md

VSPursuer: Verify Relevance Properties for Matrix Models with Implicative Connectives

Interested in seeing which satisfiable models from arranstewart/magic have the variable sharing property?

(1) Generate satisfiable matrix models using MaGIC.

  • Use the ugly data format as the output

(2) Run our tool! It will first attempt to parse all the matrices in the output file and then check for the variable sharing property one-by-one.

./vspursuer.py -i examples/R6

If you face any troubles, feel free to reach out. This tool also is able to generate satisfiable models given a specification (see: R.py). This is, however, much slower than MaGIC so you're better off using that.

Check out the GitHub issue tracker to see upcoming features or make your own requests.