結果
問題 | No.618 labo-index |
ユーザー |
|
提出日時 | 2021-11-05 11:23:48 |
言語 | Rust (1.83.0 + proconio) |
結果 |
AC
|
実行時間 | 232 ms / 6,000 ms |
コード長 | 5,558 bytes |
コンパイル時間 | 15,041 ms |
コンパイル使用メモリ | 379,508 KB |
実行使用メモリ | 11,264 KB |
最終ジャッジ日時 | 2024-10-15 20:03:24 |
合計ジャッジ時間 | 19,493 ms |
ジャッジサーバーID (参考情報) |
judge5 / judge3 |
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ファイルパターン | 結果 |
---|---|
sample | AC * 4 |
other | AC * 35 |
ソースコード
use std::cmp::*;use std::io::{Write, BufWriter};// https://qiita.com/tanakh/items/0ba42c7ca36cd29d0ac8macro_rules! input {($($r:tt)*) => {let stdin = std::io::stdin();let mut bytes = std::io::Read::bytes(std::io::BufReader::new(stdin.lock()));let mut next = move || -> String{bytes.by_ref().map(|r|r.unwrap() as char).skip_while(|c|c.is_whitespace()).take_while(|c|!c.is_whitespace()).collect()};input_inner!{next, $($r)*}};}macro_rules! input_inner {($next:expr) => {};($next:expr,) => {};($next:expr, $var:ident : $t:tt $($r:tt)*) => {let $var = read_value!($next, $t);input_inner!{$next $($r)*}};}macro_rules! read_value {($next:expr, ( $($t:tt),* )) => { ($(read_value!($next, $t)),*) };($next:expr, [ $t:tt ; $len:expr ]) => {(0..$len).map(|_| read_value!($next, $t)).collect::<Vec<_>>()};($next:expr, $t:ty) => ($next().parse::<$t>().expect("Parse error"));}/*** Segment Tree. This data structure is useful for fast folding on intervals of an array* whose elements are elements of monoid I. Note that constructing this tree requires the identity* element of I and the operation of I.* Verified by: yukicoder No. 259 (http://yukicoder.me/submissions/100581)* AGC015-E (http://agc015.contest.atcoder.jp/submissions/1461001)* yukicoder No. 833 (https://yukicoder.me/submissions/703521)*/struct SegTree<I, BiOp> {n: usize,dat: Vec<I>,op: BiOp,e: I,}impl<I, BiOp> SegTree<I, BiOp>where BiOp: Fn(I, I) -> I,I: Copy {pub fn new(n_: usize, op: BiOp, e: I) -> Self {let mut n = 1;while n < n_ { n *= 2; } // n is a power of 2SegTree {n: n, dat: vec![e; 2 * n - 1], op: op, e: e}}/* ary[k] <- v */pub fn update(&mut self, idx: usize, v: I) {let mut k = idx + self.n - 1;self.dat[k] = v;while k > 0 {k = (k - 1) / 2;self.dat[k] = (self.op)(self.dat[2 * k + 1], self.dat[2 * k + 2]);}}/* [a, b) (note: half-inclusive)* http://proc-cpuinfo.fixstars.com/2017/07/optimize-segment-tree/ */#[allow(unused)]pub fn query(&self, mut a: usize, mut b: usize) -> I {let mut left = self.e;let mut right = self.e;a += self.n - 1;b += self.n - 1;while a < b {if (a & 1) == 0 {left = (self.op)(left, self.dat[a]);}if (b & 1) == 0 {right = (self.op)(self.dat[b - 1], right);}a = a / 2;b = (b - 1) / 2;}(self.op)(left, right)}}// Depends on: datastr/SegTree.rsimpl<I, BiOp> SegTree<I, BiOp>where BiOp: Fn(I, I) -> I,I: Copy {// Port from https://github.com/atcoder/ac-library/blob/master/atcoder/segtree.hpp#[allow(unused)]fn max_right<F: Fn(I) -> bool>(&self, mut l: usize, f: &F,) -> usize {assert!(f(self.e));if l == self.n {return self.n;}l += self.n - 1;let mut sm = self.e;loop {while l % 2 == 1 {l = (l - 1) / 2;}if !f((self.op)(sm, self.dat[l])) {while l < self.n - 1 {l = 2 * l + 1;let val = (self.op)(sm, self.dat[l]);if f(val) {sm = val;l += 1;}}return l + 1 - self.n;}sm = (self.op)(sm, self.dat[l]);l += 1;if (l + 1).is_power_of_two() { break; }}self.n}}fn main() {let out = std::io::stdout();let mut out = BufWriter::new(out.lock());macro_rules! puts {($($format:tt)*) => (let _ = write!(out,$($format)*););}input! {q: usize,tx: [(i32, i64); q],}let mut coo = vec![];let mut bias = 0;for &(t, x) in &tx {if t == 1 {coo.push(x - bias);}if t == 3 {bias += x;}}coo.sort_unstable(); coo.dedup();let m = coo.len();const INF: i64 = 1 << 50;let mut st = SegTree::new(m, |(a, s, x), (b, t, y)| if x < y {(a + b + s, t, y)} else {(a + b + t, s, x)}, (0, 0, -INF));for i in 0..m {st.update(i, (0, 0, coo[i]));}bias = 0;let mut dat = vec![];for &(t, x) in &tx {if t == 1 {let idx = coo.binary_search(&(x - bias)).unwrap();dat.push(idx);let (a, s, b) = st.query(idx, idx + 1);st.update(idx, (a, s + 1, b));} else if t == 2 {let idx = dat[x as usize - 1];let (a, s, b) = st.query(idx, idx + 1);st.update(idx, (a, s - 1, b));} else {bias += x;}let whole = {let (a, b, _) = st.query(0, m);a + b};let idx = st.max_right(0, &|(a, _, x)| whole - a >= x + bias);let (a, _, b) = st.query(0, idx);let mut ans = min(whole - a, b + bias);if idx + 1 <= m {let (a, _, b) = st.query(0, idx + 1);ans = max(ans, min(whole - a, b + bias));}puts!("{}\n", max(0, ans));eprintln!();}}