use arrow key to control
use lazy_static::lazy_static;
use std::collections::{ HashMap, VecDeque, HashSet };
use std::time::Instant;
use std::iter::repeat;
use rand::seq::SliceRandom;
static FINISH_TABLE: &str = "123456789ABCDEF0";
lazy_static! {
static ref INDEX_TO_COOR: Vec<(i32, i32)> = (0..16)
.map(|pos| { (pos / 4, pos % 4) })
.collect();
static ref MOVE_POSITION: Vec<Vec<usize>> = (0..16)
.map(|pos| {
let (i, j) = (pos / 4, pos % 4);
let mut dirs = vec![];
if j > 0 { dirs.push(pos-1) }
if j < 3 { dirs.push(pos+1) }
if i > 0 { dirs.push(pos-4) }
if i < 3 { dirs.push(pos+4) }
return dirs;
})
.collect();
static ref INVERSE_DIRECTIONS: HashMap<char, char> = vec![
('U', 'D'),
('L', 'R'),
('R', 'L'),
('D', 'U')
].into_iter().collect();
static ref DIR_2_CHAR: HashMap<i32, char> = vec![
(-4, 'U'),
(-1, 'L'),
(1, 'R'),
(4, 'D'),
].into_iter().collect();
static ref PRECOMPUTED_ANSWERS: HashMap<String, String> = generate_precomputed_answer(14);
}
fn start_idx(table: &str) -> usize {
return table.find('0').unwrap()
}
fn walk(table: &str, i: usize, j: usize) -> String {
let mut s: Vec<char> = table.chars().into_iter().collect();
s.swap(i, j);
let s2: String = s.iter().collect();
return s2;
}
fn heuristic(table: &str) -> i32 {
return table.chars().enumerate().map(|(idx, val)| {
let (ai, aj) = INDEX_TO_COOR[idx];
let (bi, bj) = INDEX_TO_COOR[FINISH_TABLE.find(val).unwrap()];
return (ai - bi).abs() + (aj - bj).abs()
}).sum();
}
#[derive(Debug, Clone)]
struct State {
table: String,
path: String,
cost: i32,
}
impl State {
fn ways(&self) -> Vec<State> {
let pos = start_idx(&self.table);
return MOVE_POSITION[pos].iter().map(|&nex_pos| {
return State {
table: walk(&self.table, pos, nex_pos),
path: format!("{}{}", self.path, DIR_2_CHAR[&(nex_pos as i32 - pos as i32)]),
cost: self.cost + 1,
}
}).collect()
}
}
fn generate_table(mut table: String, mut iter: usize) -> String {
let mut prv = 100000;
let mut cur = start_idx(&table);
let mut rng = rand::thread_rng();
while iter > 0 {
let &nex = MOVE_POSITION[cur].choose(&mut rng).unwrap();
if nex != prv {
table = walk(&table, cur, nex);
prv = cur;
cur = nex;
iter -= 1;
}
}
return table;
}
fn str_grid(inp: &String, n: usize) -> String {
let mut res = vec![];
for i in (0..inp.len()).step_by(n) {
res.push(&inp[i..(i+n)]);
}
return res.join("\n");
}
fn generate_precomputed_answer(n: usize) -> HashMap<String, String> {
let mut memo = HashSet::new();
let mut ans = vec![State {table: FINISH_TABLE.to_string(), path: "".to_string(), cost: 0 }];
for i in 0.. {
if i >= ans.len() {
break
}
for nex in ans[i].ways() {
if nex.path.len() > n {
break
}
if !memo.contains(&nex.table) {
memo.insert(nex.table.to_string());
ans.push(nex)
}
}
}
return ans
.iter()
.map(|s| { (
s.table.to_string(),
s.path
.chars()
.rev()
.map(|c| INVERSE_DIRECTIONS.get(&c).unwrap())
.collect::<String>()
)})
.collect();
}
fn solve(table: &String) -> String {
let mut memo: HashSet<String> = HashSet::new();
let mut dp: Vec<VecDeque<State>> = repeat(VecDeque::new()).take(128).collect();
let mut mn = heuristic(&table) as usize;
dp[mn].push_back(State {
table: table.clone(),
cost: 0,
path: "".to_string(),
});
loop {
while dp[mn].is_empty() { mn += 1 }
if let Some(curr) = dp[mn].pop_front() {
if curr.table == FINISH_TABLE {
return curr.path
}
else if let Some(ans) = PRECOMPUTED_ANSWERS.get(&curr.table) {
return format!("{}{}", curr.path, ans);
}
else {
for next in curr.ways() {
if !memo.contains(&next.table) {
let pos = next.cost as usize + heuristic(&next.table) as usize;
memo.insert(next.table.to_string());
dp[pos].push_back(next);
if pos < mn {
mn = pos
}
}
}
}
}
}
}
fn simulate_walk(table: &String, dir: char) -> String {
let pos = start_idx(&table);
return walk(table, pos, match dir {
'U' => pos - 4,
'L' => pos - 1,
'R' => pos + 1,
'D' => pos + 4,
_ => panic!("not match dir {}", dir)
})
}
fn simulate_walks(table: &String, dir: &String) -> String {
return dir
.chars()
.fold(table.to_string(), |t, d| simulate_walk(&t, d))
}
fn test(n: usize) {
let start = Instant::now();
let tab = generate_table(FINISH_TABLE.to_string(), n);
let dir = solve(&tab);
let end = start.elapsed();
let sim = simulate_walks(&tab, &dir);
assert_eq!(sim, FINISH_TABLE);
println!("PASS {} ({:.2?}): {}", dir.len(), end, dir)
}