Crates.io | minisat |
lib.rs | minisat |
version | 0.4.4 |
source | src |
created_at | 2018-10-21 15:45:58.705647 |
updated_at | 2019-11-17 12:31:43.61428 |
description | MiniSat Rust interface. Solves a boolean satisfiability problem given in conjunctive normal form. |
homepage | |
repository | https://github.com/luteberget/minisat-rs/ |
max_upload_size | |
id | 91842 |
size | 796,716 |
MiniSat Rust interface. Solves a boolean satisfiability problem given in conjunctive normal form.
extern crate minisat;
use std::iter::once;
fn main() {
let mut sat = minisat::Solver::new();
let a = sat.new_lit();
let b = sat.new_lit();
// Solves ((a OR not b) AND b)
sat.add_clause(vec![a, !b]);
sat.add_clause(vec![b]);
match sat.solve() {
Ok(m) => {
assert_eq!(m.value(&a), true);
assert_eq!(m.value(&b), true);
},
Err(()) => panic!("UNSAT"),
}
}
This crate compiles the MiniSat sources directly and binds through
the minisat-c-bindings interface.
The low-level C bindings are available through the sys
module.
High-level features ported from satplus:
ModelValue
)ModelEq
)ModelOrd
)Symbolic<V>
)Unary
)Binary
)Graph coloring example:
extern crate minisat;
use std::iter::once;
use minisat::symbolic::*;
fn main() {
let mut coloring = minisat::Solver::new();
#[derive(PartialEq, Eq, Debug, PartialOrd, Ord)]
enum Color { Red, Green, Blue };
let n_nodes = 5;
let edges = vec![(0,1),(1,2),(2,3),(3,4),(3,1),(4,0),(4,2)];
let colors = (0..n_nodes)
.map(|_| Symbolic::new(&mut coloring, vec![Color::Red, Color::Green, Color::Blue]))
.collect::<Vec<_>>();
for (n1,n2) in edges {
coloring.not_equal(&colors[n1],&colors[n2]);
}
match coloring.solve() {
Ok(model) => {
for i in 0..n_nodes {
println!("Node {}: {:?}", i, model.value(&colors[i]));
}
},
Err(()) => {
println!("No solution.");
}
}
}
Factorization example:
extern crate minisat;
use minisat::{*, binary::*};
fn main() {
let mut sat = Solver::new();
let a = Binary::new(&mut sat, 1000);
let b = Binary::new(&mut sat, 1000);
let c = a.mul(&mut sat, &b);
sat.equal(&c, &Binary::constant(36863));
match sat.solve() {
Ok(model) => {
println!("{}*{}=36863", model.value(&a), model.value(&b));
},
Err(()) => {
println!("No solution.");
}
}
}
Sudoku solver, based on the article Modern SAT solvers: fast, neat and underused (part 1 of N). It uses the sudoku crate for generating and displaying boards.
extern crate itertools;
extern crate sudoku;
use itertools::iproduct;
use minisat::Solver;
use minisat::symbolic::Symbolic;
use sudoku::Sudoku;
pub fn solve_sudoku(problem: &str) -> Option<String> {
let mut s = Solver::new();
let matrix = problem.chars().map(|c| {
if let Some(i) = c.to_digit(10) {
Symbolic::new(&mut s, vec![i - 1])
} else {
Symbolic::new(&mut s, (0..9).collect())
}
}).collect::<Vec<_>>();
for val in 0..9 {
// Rule 1: no row contains duplicate numbers
for x in 0..9 {
s.assert_at_most_one((0..9).map(|y| matrix[9 * y + x].has_value(&val)));
}
// Rule 2: no column contains duplicate numbers
for y in 0..9 {
s.assert_at_most_one((0..9).map(|x| matrix[9 * y + x].has_value(&val)));
}
// Rule 3: no 3x3 box contains duplicate numbers
for (box_x, box_y) in iproduct!((0..9).step_by(3), (0..9).step_by(3)) {
s.assert_at_most_one(
iproduct!(0..3, 0..3)
.map(|(x, y)| matrix[9 * (box_x + x) + (box_y + y)].has_value(&val)),
);
}
}
s.solve().ok().map(|m| {
matrix.into_iter()
.map(|v| format!("{}", m.value(&v) + 1))
.collect()
})
}
fn main() {
let puzzle = Sudoku::generate_unique();
println!("{}", puzzle.display_block());
let solution = solve_sudoku(&puzzle.to_str_line()).expect("Unable to solve puzzle");
let solved_puzzle = Sudoku::from_str_line(&solution).expect("Unable to parse puzzle");
println!("{}", solved_puzzle.display_block());
assert!(solved_puzzle.is_solved());
}