screwsat 1.0.0

A simple condlict driven clause learning sat solver
Documentation

screwsat

Crates.io

A very simple CDCL(Conflict-Driven-Clause-Learning) SAT Solver in Rust. The line of solver is around 300 lines.
I wrote it very simple to help people(including me) understating the inside of SAT Solver.
The performance of screwsat isn't as good as other modern sat solvers.
But you can grasp some important points of SAT Solver from screwsat(I hope).

screwsat is written in only one file and std libraries. You can use it for competitive programming problems.
Accepted by screwsat : AtCoder Beginner Contest 187 F - Close Group

How to use

screwsat can be used as a library and a command line tool

Command

Install

% cargo install --locked screwsat

Usage(cmd)

% screwsat --help
USAGE: screwsat [options] <input-file> [output-file]

% cat cnf/sat/sat.cnf
c Here is a comment.
c SATISFIABLE
p cnf 5 3
1 -5 4 0
-1 5 3 4 0
-3 -4 0

% screwsat cnf/sat/sat.cnf
s SATISFIABLE
-1 -2 -3 -4 -5 0

% screwsat cnf/unsat/unsat.cnf
s UNSATISFIABLE

% screwsat cnf/sat/sat.cnf sat_result.txt
% cat sat_result.txt
SAT
-1 -2 -3 -4 -5 0

Library

You can add screwsat to Cargo.toml.

screwsat="1.0"

OR

Copy src/lib.rs and Paste it.(Competitive Programming Style)

Usage(lib)

use std::vec;

use screwsat::solver::Solver;
use screwsat::util;
fn main() {
    {
        // Create a default Solver struct
        let mut solver = Solver::default();
        // A problem is (x1 v ¬x5 v x4) ∧ (¬x1 v x5 v x3 v x4) ∧ (x3 v x4)
        let clauses = vec![
            // (x1 v ¬x5 v x4)
            vec![(0, true), (4, false), (3, true)],
            // (¬x1 v x5 v x3 v x4)
            vec![(0, false), (4, true), (2, true), (3, true)],
            // (x3 v x4)
            vec![(2, true), (3, true)],
        ];
        // Add clauses to solver
        clauses
            .into_iter()
            .for_each(|clause| solver.add_clause(&clause));

        let status = solver.solve(None);
        // Sat: A problem is SATISFIABLE.
        println!("{:?}", status);
        // print the assignments satisfy a given problem.
        // x1 = false x2 = false x3 = false x4 = true x5 = false
        solver
            .assigns
            .iter()
            .enumerate()
            .for_each(|(var, assign)| print!("x{} = {} ", var + 1, assign));
        println!("");
    }

    {
        // Parse a DIMACS CNF file
        // c
        // c This is a sample input file.
        // c (unsatisfiable)
        // c
        // p cnf 3 5
        // 1 -2 3 0
        // -1 2 0
        // -2 -3 0
        // 1 2 -3 0
        // 1 3 0
        // -1 -2 3 0
        let cnf = util::parse_cnf("cnf/unsat/unsat.cnf").unwrap();
        // 3
        let variable_num = cnf.var_num.unwrap();
        // 5
        //let clause_num = cnf.cla_num.unwrap();

        let clauses = cnf.clauses;
        // Create a new Solver struct
        let mut solver = Solver::new(variable_num, &clauses);
        let status = solver.solve(None);
        // Unsat: A problem is UNSATISFIABLE
        println!("{:?}", status);
    }

    {
        // Set the time limitation
        // You might want to set the time limitation for very hard problem
        let cnf = util::parse_cnf("examples/hard.cnf").unwrap();
        let mut solver = Solver::default();
        let clauses = cnf.clauses;
        clauses
            .into_iter()
            .for_each(|clause| solver.add_clause(&clause));
        // 5 sec
        let status = solver.solve(Some(std::time::Duration::from_secs(5)));
        // Indeterminate
        println!("{:?}", status);
    }
}

Appreciation

This code is really inspired by his simple good code not522's SAT Solver