結果
| 問題 |
No.3259 C++ → Rust → Python
|
| コンテスト | |
| ユーザー |
|
| 提出日時 | 2025-09-06 13:04:42 |
| 言語 | Rust (1.83.0 + proconio) |
| 結果 |
AC
|
| 実行時間 | 1 ms / 2,000 ms |
| コード長 | 4,404 bytes |
| コンパイル時間 | 15,095 ms |
| コンパイル使用メモリ | 399,832 KB |
| 実行使用メモリ | 7,716 KB |
| 最終ジャッジ日時 | 2025-09-06 13:04:59 |
| 合計ジャッジ時間 | 15,648 ms |
|
ジャッジサーバーID (参考情報) |
judge1 / judge2 |
(要ログイン)
| ファイルパターン | 結果 |
|---|---|
| sample | AC * 3 |
| other | AC * 22 |
ソースコード
#![allow(unused)]
#![allow(non_snake_case)]
#![allow(dead_code)]
use library::*;
macro_rules! init{
(@inner $d:tt)=>{
let input=std::io::read_to_string(std::io::stdin()).unwrap();
let mut iter=input.split_whitespace();
macro_rules! read{
($d t:ty) => {iter.next().unwrap().parse::<$d t>().unwrap()};
($d ($d t:ty),*) => {{ ($d (iter.next().unwrap().parse::<$d t>().unwrap(),)*)}};
($d t:ty; $d n:expr) => {(0..$d n).map(|_|read!($d t) ).collect::<Vec<_>>()};
($d ($d t:ty),*; $d n:expr) => {(0..$d n).map(|_|read!($d ($d t),*)).collect::<Vec<_>>()};
($d t:ty; $d n:expr; $d m:expr) => {(0..$d m).map(|_|read!($d t; $d n)).collect::<Vec<_>>()};
($d ($d t:ty),*; $d n:expr; $d m:expr) => {(0..$d m).map(|_|read!($d ($d t),*; $d n)).collect::<Vec<_>>()};
}
};
()=>{init!(@inner $)};
}
fn main() {
init!();
let (a,b) = read!(usize, usize);
let mut ans = 0;
if a <=295 && b >=296{
ans+=1;
}
if a <=416 && b >=417{
ans+=1;
}
println!("{}",ans);
}
pub mod library {
//Shift vec
pub trait Shift<T>
where
T: Default + Copy,
{
fn shift(&mut self);
}
impl<T> Shift<T> for Vec<T>
where
T: Default + Copy,
{
fn shift(&mut self) {
self.insert(0, T::default());
}
}
pub trait Shift2D<T>
where
T: Default + Copy,
{
fn shift(&mut self);
fn shift_2d(&mut self);
}
impl<T> Shift2D<T> for Vec<Vec<T>>
where
T: Default + Copy,
{
fn shift(&mut self) {
self.insert(0, vec![T::default();self[0].len()]);
}
fn shift_2d(&mut self) {
for i in 0..self.len() {
self[i].shift();
}
self.shift();
}
}
//bsearch
pub trait BinarySearch<T> {
fn bsearch<F>(&self, f: F) -> usize
where
F: Fn(&T) -> bool;
}
impl<T> BinarySearch<T> for Vec<T>{
fn bsearch<F>(&self, f: F) -> usize
where
F: Fn(&T) -> bool,
{
let mut left =0;
let mut right = self.len();
while left!=right {
let mid = left + (right - left) / 2;
if f(&self[mid]) {right = mid;}
else {left = mid+1;}
}
left
}
}
pub fn bsearch_irange<F>(mut l: i64, mut r: i64, f: F) -> i64
where
F: Fn(i64) -> bool,
{
while l < r {
let m = l + (r - l) / 2;
if f(m) {
r = m;
} else {
l = m + 1;
}
}
l
}
pub fn bsearch_frange<F>(mut l: f64, mut r: f64, f: F, eps: f64) -> f64
where
F: Fn(f64) -> bool,
{
while r - l > eps {
let m = (l + r) / 2.0;
if f(m) {
r = m;
} else {
l = m;
}
}
l
}
//cumulate,cumlate_rev
pub trait Cumulate<T>
where
T:Clone,
{
fn cumulate<F>(&self, f: F) -> Vec<T>
where
F: Fn(&T,&T) -> T;
fn cumulate_rev<F>(&self, f: F) -> Vec<T>
where
F: Fn(&T,&T) -> T;
}
impl<T> Cumulate<T> for Vec<T>
where
T:Clone,
{
fn cumulate<F>(&self, f: F) ->Vec<T>
where
F: Fn(&T,&T) ->T,
{
let mut cumvec= self.clone();
for i in 1..self.len() {
cumvec[i]=f(&cumvec[i-1],&self[i]);
}
cumvec
}
fn cumulate_rev<F>(&self, f: F) ->Vec<T>
where
F: Fn(&T,&T) ->T,
{
let mut cumvec = self.clone();
for i in (0..self.len()-1).rev() {
cumvec[i]=f(&cumvec[i+1],&self[i]);
}
cumvec
}
}
//cumlate_2d
pub trait Cumulate2D<T>
where
T:Clone,
{
fn cumulate_2d<F>(&self, f: F) -> Vec<Vec<T>>
where
F: Fn(&T,&T) -> T;
}
impl<T> Cumulate2D<T> for Vec<Vec<T>>
where
T:Clone,
{
fn cumulate_2d<F>(&self, f: F) ->Vec<Vec<T>>
where
F: Fn(&T,&T) ->T,
{
let mut cumvec = self.clone();
for i in 0..self.len() {
for j in 1..self[i].len(){
cumvec[i][j]=f(&cumvec[i][j],&cumvec[i][j-1]);
}
}
for i in 1..self.len() {
for j in 0..self[i].len(){
cumvec[i][j]=f(&cumvec[i][j],&cumvec[i-1][j]);
}
}
cumvec
}
}
}