This repository contains couple of SAT solvers that were developed during as a project in "Logic in Programming" course. As title already stated, not all of them are functional, so take caution when using results in real world.

NOTE: This implementation used parts of the numpy library, so before trying to run it, make sure numpy is installed.

Naive implementation can be found in naive_solver.py. For brief usage instructions simply execute naive_solver.py -h. Typical invocations would be:

./naive_solver.py -i input.dimacs               # Print result into stdout
./naive_solver.py -i input.dimcas -o result.txt # Place result in file
./naive_solver.py -o result.txt                 # Read dimcas from stdin

Exit code of the solver indicates whether input formula is satisfiable. Zero return status means success and one means not satisfiable.

Some relatively large and quite hard examples that naive implementation can solve in cca. 20 seconds can be found in samples folder.

• Nejc Vesel
• Tadej Borovšak