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use std::str::FromStr;
use nalgebra::Vector2;
use soukoban::{Actions, Level, solver::*};
mod utils;
use utils::*;
#[test]
fn a_star_search() {
fn search(mut level: Level, strategy: Strategy) -> Actions {
let solver = Solver::new(level.map().clone(), strategy);
let solution = solver.a_star_search().unwrap();
let directions = solution.iter().map(|action| action.direction());
level.execute_batch(directions).unwrap();
assert!(level.is_solved());
solution
}
search(
load_level_from_file("assets/BoxWorld_100.xsb", 1),
Strategy::Fast,
);
search(
load_level_from_file("assets/BoxWorld_100.xsb", 2),
Strategy::Fast,
);
search(
load_level_from_file("assets/BoxWorld_100.xsb", 3),
Strategy::Fast,
);
assert_eq!(
search(
load_level_from_file("assets/BoxWorld_100.xsb", 1),
Strategy::OptimalPush,
)
.pushes(),
Actions::from_str("DuLLrUUdrR").unwrap().pushes()
);
assert_eq!(
search(
load_level_from_file("assets/BoxWorld_100.xsb", 1),
Strategy::OptimalMove,
)
.moves(),
Actions::from_str("DuLLrUUdrR").unwrap().moves()
);
assert_eq!(
search(
load_level_from_file("assets/BoxWorld_100.xsb", 2),
Strategy::OptimalPush,
)
.pushes(),
Actions::from_str(
"rr4DrddlluRdrUl5ulldRur4D3RdrUUd3lddlluRdrUl4ulldRur3D3RdrU3lddlluRdrUlu3R"
)
.unwrap()
.pushes()
);
// FIXME:
// assert_eq!(
// search(
// load_level_from_file("assets/BoxWorld_100.xsb", 2),
// Strategy::OptimalMove,
// )
// .moves(),
// Actions::from_str(
// "rr4DrddlluRdrUl5ulldRur4D3RdrUUd3lddlluRdrUl4ulldRur3D3RdrU3lddlluRdrUlu3R"
// )
// .unwrap()
// .moves()
// );
assert_eq!(
search(
load_level_from_file("assets/BoxWorld_100.xsb", 3),
Strategy::OptimalPush,
)
.pushes(),
Actions::from_str(
"rRRddrruULuu4l3D3u4rdd3L3ruu4ldDldRu6ruLd5luu4rDrd4LDu3ruu4ldDldRu3rddrUru4L3ruu4ldD"
)
.unwrap()
.pushes()
);
assert_eq!(
search(
load_level_from_file("assets/BoxWorld_100.xsb", 3),
Strategy::OptimalMove,
)
.pushes(),
Actions::from_str(
"rRRddrruULuu4l3D3u4rdd3L3ruu4ldDldRu6ruLd5luu4rDrd4LDu3ruu4ldDldRu3rddrUru4L3ruu4ldD"
)
.unwrap()
.pushes()
);
}
#[test]
fn ida_star_search() {
fn search(mut level: Level, strategy: Strategy) -> Actions {
let solver = Solver::new(level.map().clone(), strategy);
let solution = solver.ida_star_search().unwrap();
let directions = solution.iter().map(|action| action.direction());
level.execute_batch(directions).unwrap();
assert!(level.is_solved());
solution
}
search(
load_level_from_file("assets/BoxWorld_100.xsb", 1),
Strategy::Fast,
);
search(
load_level_from_file("assets/BoxWorld_100.xsb", 2),
Strategy::Fast,
);
search(
load_level_from_file("assets/BoxWorld_100.xsb", 3),
Strategy::Fast,
);
assert_eq!(
search(
load_level_from_file("assets/BoxWorld_100.xsb", 1),
Strategy::OptimalPush,
)
.pushes(),
Actions::from_str("DuLLrUUdrR").unwrap().pushes()
);
assert_eq!(
search(
load_level_from_file("assets/BoxWorld_100.xsb", 1),
Strategy::OptimalMove,
)
.moves(),
Actions::from_str("DuLLrUUdrR").unwrap().moves()
);
assert_eq!(
search(
load_level_from_file("assets/BoxWorld_100.xsb", 2),
Strategy::OptimalPush,
)
.pushes(),
Actions::from_str(
"rr4DrddlluRdrUl5ulldRur4D3RdrUUd3lddlluRdrUl4ulldRur3D3RdrU3lddlluRdrUlu3R"
)
.unwrap()
.pushes()
);
// FIXME:
// assert_eq!(
// search(
// load_level_from_file("assets/BoxWorld_100.xsb", 2),
// Strategy::OptimalMove,
// )
// .moves(),
// Actions::from_str(
// "rr4DrddlluRdrUl5ulldRur4D3RdrUUd3lddlluRdrUl4ulldRur3D3RdrU3lddlluRdrUlu3R"
// )
// .unwrap()
// .moves()
// );
// FIXME: Potential infinite loop occurs.
// assert_eq!(
// search(
// load_level_from_file("assets/BoxWorld_100.xsb", 3),
// Strategy::OptimalPush,
// )
// .pushes(),
// Actions::from_str(
// "rRRddrruULuu4l3D3u4rdd3L3ruu4ldDldRu6ruLd5luu4rDrd4LDu3ruu4ldDldRu3rddrUru4L3ruu4ldD"
// )
// .unwrap()
// .pushes()
// );
// assert_eq!(
// search(
// load_level_from_file("assets/BoxWorld_100.xsb", 3),
// Strategy::OptimalMove,
// )
// .pushes(),
// Actions::from_str(
// "rRRddrruULuu4l3D3u4rdd3L3ruu4ldDldRu6ruLd5luu4rDrd4LDu3ruu4ldDldRu3rddrUru4L3ruu4ldD"
// )
// .unwrap()
// .pushes()
// );
}
#[expect(dead_code)]
fn print_lower_bounds(solver: &Solver) {
for y in 0..solver.map().dimensions().y {
for x in 0..solver.map().dimensions().x {
let position = Vector2::new(x, y);
if let Some(lower_bound) = solver.lower_bounds().get(&position) {
print!("{lower_bound:3} ");
} else {
print!("{:3} ", "###");
}
}
println!();
}
}