結果

問題 No.5007 Steiner Space Travel
ユーザー terry_u16
提出日時 2022-06-26 17:47:58
言語 Rust
(1.83.0 + proconio)
結果
AC  
実行時間 982 ms / 1,000 ms
コード長 11,880 bytes
コンパイル時間 913 ms
実行使用メモリ 2,904 KB
スコア 8,972,994
最終ジャッジ日時 2022-07-30 13:31:08
合計ジャッジ時間 33,070 ms
ジャッジサーバーID
(参考情報)
judge11 / judge12
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ファイルパターン 結果
other AC * 30
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ソースコード

diff #
プレゼンテーションモードにする

use std::time::Instant;
use crate::rand::Xoshiro256;
const MAP_SIZE: i32 = 1000;
const MULTIPLIER: i64 = 5;
macro_rules! get {
($t:ty) => {
{
let mut line: String = String::new();
std::io::stdin().read_line(&mut line).unwrap();
line.trim().parse::<$t>().unwrap()
}
};
($($t:ty),*) => {
{
let mut line: String = String::new();
std::io::stdin().read_line(&mut line).unwrap();
let mut iter = line.split_whitespace();
(
$(iter.next().unwrap().parse::<$t>().unwrap(),)*
)
}
};
($t:ty; $n:expr) => {
(0..$n).map(|_|
get!($t)
).collect::<Vec<_>>()
};
($($t:ty),*; $n:expr) => {
(0..$n).map(|_|
get!($($t),*)
).collect::<Vec<_>>()
};
($t:ty ;;) => {
{
let mut line: String = String::new();
std::io::stdin().read_line(&mut line).unwrap();
line.split_whitespace()
.map(|t| t.parse::<$t>().unwrap())
.collect::<Vec<_>>()
}
};
($t:ty ;; $n:expr) => {
(0..$n).map(|_| get!($t ;;)).collect::<Vec<_>>()
};
}
#[allow(unused_macros)]
macro_rules! chmin {
($base:expr, $($cmps:expr),+ $(,)*) => {{
let cmp_min = min!($($cmps),+);
if $base > cmp_min {
$base = cmp_min;
true
} else {
false
}
}};
}
#[allow(unused_macros)]
macro_rules! chmax {
($base:expr, $($cmps:expr),+ $(,)*) => {{
let cmp_max = max!($($cmps),+);
if $base < cmp_max {
$base = cmp_max;
true
} else {
false
}
}};
}
#[allow(unused_macros)]
macro_rules! min {
($a:expr $(,)*) => {{
$a
}};
($a:expr, $b:expr $(,)*) => {{
std::cmp::min($a, $b)
}};
($a:expr, $($rest:expr),+ $(,)*) => {{
std::cmp::min($a, min!($($rest),+))
}};
}
#[allow(unused_macros)]
macro_rules! max {
($a:expr $(,)*) => {{
$a
}};
($a:expr, $b:expr $(,)*) => {{
std::cmp::max($a, $b)
}};
($a:expr, $($rest:expr),+ $(,)*) => {{
std::cmp::max($a, max!($($rest),+))
}};
}
#[allow(unused_macros)]
macro_rules! mat {
($e:expr; $d:expr) => { vec![$e; $d] };
($e:expr; $d:expr $(; $ds:expr)+) => { vec![mat![$e $(; $ds)*]; $d] };
}
#[derive(Debug, Clone)]
struct Input {
n: usize,
m: usize,
points: Vec<Point>,
since: Instant,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
struct Point {
x: i32,
y: i32,
}
impl Point {
fn new(x: i32, y: i32) -> Self {
Self { x, y }
}
fn dist_sq(&self, other: &Self) -> i64 {
let dx = self.x - other.x;
let dy = self.y - other.y;
(dx * dx + dy * dy) as i64
}
}
#[derive(Debug, Clone)]
struct State {
points: Vec<Point>,
orders: Vec<usize>,
}
impl State {
fn init(input: &Input) -> Self {
let mut points = input.points.clone();
for _ in 0..input.m {
points.push(points[0]);
}
let mut orders = vec![];
for i in 0..input.n {
orders.push(i);
}
orders.push(0);
Self::new(points, orders)
}
fn new(points: Vec<Point>, orders: Vec<usize>) -> Self {
Self { points, orders }
}
fn calc_score_all(&self, input: &Input) -> i64 {
let mut score = 0;
for w in self.orders.windows(2) {
let (prev, next) = (w[0], w[1]);
let mul0 = get_score_mul(prev, input.n);
let mul1 = get_score_mul(next, input.n);
let dist_sq = self.points[prev].dist_sq(&self.points[next]);
score += dist_sq * mul0 * mul1;
}
score
}
}
fn main() {
let input = read_input();
let state = solve(&input);
write_output(&input, &state);
let score = state.calc_score_all(&input);
eprintln!("score: {}", score);
let elapsed = (Instant::now() - input.since).as_millis();
eprintln!("elapsed: {}ms", elapsed);
}
fn read_input() -> Input {
let (n, m) = get!(usize, usize);
let since = Instant::now();
let mut points = vec![];
for _ in 0..n {
let (x, y) = get!(i32, i32);
points.push(Point::new(x, y));
}
Input {
n,
m,
points,
since,
}
}
fn solve(input: &Input) -> State {
let solution = State::init(&input);
let solution = annealing(&input, solution, 0.98);
solution
}
fn annealing(input: &Input, initial_solution: State, duration: f64) -> State {
let mut solution = initial_solution;
let mut best_solution = solution.clone();
let mut current_score = solution.calc_score_all(input);
let initial_score = current_score;
let mut best_score = current_score;
let mut all_iter = 0;
let mut valid_iter = 0;
let mut accepted_count = 0;
let mut update_count = 0;
let mut rng = Xoshiro256::new(42);
let duration_inv = 1.0 / duration;
let since = std::time::Instant::now();
let mut time = 0.0;
let temp0 = 1e5;
let temp1 = 1e2;
let mut inv_temp = 1.0 / temp0;
while time < 1.0 {
all_iter += 1;
if (all_iter & ((1 << 6) - 1)) == 0 {
time = (std::time::Instant::now() - since).as_secs_f64() * duration_inv;
let temp = f64::powf(temp0, 1.0 - time) * f64::powf(temp1, time);
inv_temp = 1.0 / temp;
}
//
let mod_station = rng.gen_usize(0, 100) < 10;
if mod_station {
let station_id = input.n + rng.gen_usize(0, input.m);
let mut temp_orders = solution.orders.clone();
temp_orders.retain(|&v| v != station_id);
let mut p = solution.points[station_id];
const DELTA: i32 = 100;
p.x = rng.gen_i32((p.x - DELTA).max(0), (p.x + DELTA).min(MAP_SIZE) + 1);
p.y = rng.gen_i32((p.y - DELTA).max(0), (p.y + DELTA).min(MAP_SIZE) + 1);
let mut new_orders = vec![];
for w in temp_orders.windows(2) {
let (prev, next) = (w[0], w[1]);
new_orders.push(prev);
let mul0 = get_score_mul(prev, input.n);
let mul1 = get_score_mul(next, input.n);
let p0 = solution.points[prev];
let p1 = solution.points[next];
let old_dist = p0.dist_sq(&p1) * mul0 * mul1;
let new_dist = p0.dist_sq(&p) * mul0 + p.dist_sq(&p1) * mul1;
if new_dist < old_dist {
new_orders.push(station_id);
}
}
new_orders.push(0);
let mut new_solution = State::new(solution.points.clone(), new_orders);
new_solution.points[station_id] = p;
let new_score = new_solution.calc_score_all(input);
let score_diff = new_score - current_score;
if score_diff <= 0 || rng.gen_bool(f64::exp(-score_diff as f64 * inv_temp)) {
//
current_score = new_score;
accepted_count += 1;
solution = new_solution;
if chmin!(best_score, current_score) {
best_solution = solution.clone();
update_count += 1;
}
}
} else {
let from = rng.gen_usize(1, solution.orders.len() - 1);
let to = rng.gen_usize(from + 1, solution.orders.len());
let i0 = solution.orders[from - 1];
let i1 = solution.orders[from];
let i2 = solution.orders[to - 1];
let i3 = solution.orders[to];
let p0 = solution.points[i0];
let p1 = solution.points[i1];
let p2 = solution.points[i2];
let p3 = solution.points[i3];
let mul0 = get_score_mul(i0, input.n);
let mul1 = get_score_mul(i1, input.n);
let mul2 = get_score_mul(i2, input.n);
let mul3 = get_score_mul(i3, input.n);
let d01 = p0.dist_sq(&p1) * mul0 * mul1;
let d23 = p2.dist_sq(&p3) * mul2 * mul3;
let d02 = p0.dist_sq(&p2) * mul0 * mul2;
let d13 = p1.dist_sq(&p3) * mul1 * mul3;
//
let score_diff = d02 + d13 - d01 - d23;
let new_score = current_score + score_diff;
if score_diff <= 0 || rng.gen_bool(f64::exp(-score_diff as f64 * inv_temp)) {
//
current_score = new_score;
accepted_count += 1;
solution.orders[from..to].reverse();
if chmin!(best_score, current_score) {
best_solution = solution.clone();
update_count += 1;
}
}
}
valid_iter += 1;
}
eprintln!("===== annealing =====");
eprintln!("initial_score : {}", initial_score);
eprintln!("score : {}", best_score);
eprintln!("all iter : {}", all_iter);
eprintln!("valid iter : {}", valid_iter);
eprintln!("accepted : {}", accepted_count);
eprintln!("updated : {}", update_count);
eprintln!("");
best_solution
}
fn get_score_mul(v: usize, threshold: usize) -> i64 {
if v < threshold {
MULTIPLIER
} else {
1
}
}
fn write_output(input: &Input, solution: &State) {
for i in 0..input.m {
let p = solution.points[i + input.n];
println!("{} {}", p.x, p.y);
}
println!("{}", solution.orders.len());
for &v in solution.orders.iter() {
if v < input.n {
println!("1 {}", v + 1);
} else {
println!("2 {}", v + 1 - input.n);
}
}
}
mod rand {
pub(crate) struct Xoshiro256 {
s0: u64,
s1: u64,
s2: u64,
s3: u64,
}
impl Xoshiro256 {
pub(crate) fn new(mut seed: u64) -> Self {
let s0 = split_mix_64(&mut seed);
let s1 = split_mix_64(&mut seed);
let s2 = split_mix_64(&mut seed);
let s3 = split_mix_64(&mut seed);
Self { s0, s1, s2, s3 }
}
fn next(&mut self) -> u64 {
let result = (self.s1 * 5).rotate_left(7) * 9;
let t = self.s1 << 17;
self.s2 ^= self.s0;
self.s3 ^= self.s1;
self.s1 ^= self.s2;
self.s0 ^= self.s3;
self.s2 ^= t;
self.s3 = self.s3.rotate_left(45);
result
}
pub(crate) fn gen_usize(&mut self, lower: usize, upper: usize) -> usize {
assert!(lower < upper);
let count = upper - lower;
(self.next() % count as u64) as usize + lower
}
pub(crate) fn gen_i32(&mut self, lower: i32, upper: i32) -> i32 {
assert!(lower < upper);
let count = upper - lower;
(self.next() % count as u64) as i32 + lower
}
pub(crate) fn gen_f64(&mut self) -> f64 {
const UPPER_MASK: u64 = 0x3ff0000000000000;
const LOWER_MASK: u64 = 0xfffffffffffff;
let result = UPPER_MASK | (self.next() & LOWER_MASK);
let result: f64 = unsafe { std::mem::transmute(result) };
result - 1.0
}
pub(crate) fn gen_bool(&mut self, prob: f64) -> bool {
self.gen_f64() < prob
}
}
fn split_mix_64(x: &mut u64) -> u64 {
*x += 0x9e3779b97f4a7c15;
let mut z = *x;
z = (z ^ z >> 30) * 0xbf58476d1ce4e5b9;
z = (z ^ z >> 27) * 0x94d049bb133111eb;
return z ^ z >> 31;
}
}
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