結果

問題 No.2602 Real Collider
ユーザー to-omerto-omer
提出日時 2024-01-12 22:00:56
言語 Rust
(1.77.0)
結果
WA  
実行時間 -
コード長 27,408 bytes
コンパイル時間 740 ms
コンパイル使用メモリ 177,744 KB
実行使用メモリ 13,100 KB
最終ジャッジ日時 2024-01-12 22:01:09
合計ジャッジ時間 9,146 ms
ジャッジサーバーID
(参考情報)
judge15 / judge12
このコードへのチャレンジ
(要ログイン)

テストケース

テストケース表示
入力 結果 実行時間
実行使用メモリ
testcase_00 AC 4 ms
6,548 KB
testcase_01 AC 3 ms
6,548 KB
testcase_02 AC 4 ms
6,548 KB
testcase_03 AC 4 ms
6,548 KB
testcase_04 AC 4 ms
6,548 KB
testcase_05 AC 4 ms
6,548 KB
testcase_06 WA -
testcase_07 WA -
testcase_08 WA -
testcase_09 AC 4 ms
6,548 KB
testcase_10 AC 181 ms
13,100 KB
testcase_11 WA -
testcase_12 WA -
testcase_13 WA -
testcase_14 WA -
testcase_15 WA -
testcase_16 WA -
testcase_17 WA -
testcase_18 WA -
testcase_19 WA -
testcase_20 WA -
testcase_21 WA -
testcase_22 WA -
testcase_23 WA -
testcase_24 WA -
testcase_25 WA -
testcase_26 WA -
testcase_27 WA -
testcase_28 WA -
testcase_29 WA -
testcase_30 WA -
testcase_31 WA -
testcase_32 WA -
testcase_33 WA -
testcase_34 WA -
testcase_35 WA -
testcase_36 WA -
testcase_37 WA -
testcase_38 WA -
testcase_39 WA -
testcase_40 WA -
testcase_41 WA -
testcase_42 WA -
testcase_43 WA -
testcase_44 WA -
testcase_45 WA -
testcase_46 WA -
testcase_47 WA -
testcase_48 WA -
testcase_49 WA -
testcase_50 WA -
testcase_51 WA -
testcase_52 WA -
testcase_53 WA -
testcase_54 WA -
testcase_55 WA -
testcase_56 WA -
testcase_57 WA -
testcase_58 WA -
testcase_59 WA -
testcase_60 WA -
testcase_61 WA -
testcase_62 WA -
testcase_63 WA -
testcase_64 WA -
testcase_65 WA -
testcase_66 WA -
testcase_67 WA -
testcase_68 WA -
testcase_69 WA -
testcase_70 WA -
testcase_71 WA -
testcase_72 WA -
testcase_73 WA -
testcase_74 WA -
testcase_75 WA -
testcase_76 WA -
testcase_77 WA -
testcase_78 WA -
testcase_79 WA -
testcase_80 WA -
権限があれば一括ダウンロードができます

ソースコード

diff #

code!{
pub fn solve() {
    crate::prepare!();
    sc!(n, p: [P; const 3], q: [P; n]);
    let p = p.map(|p| Complex::new(Rational::new(p.re, 1), Rational::new(p.im, 1)));
    let q: Vec<_> = q
        .into_iter()
        .map(|p| Complex::new(Rational::new(p.re, 1), Rational::new(p.im, 1)))
        .collect();
    let mut mat = Matrix::<Rational<i64>>::zeros((2, 2));
    let mut b = vec![Rational::new(0, 1); 2];
    for i in 0..2 {
        let a = p[i] - p[2];
        let m = (p[i] + p[2]) / Rational::new(2, 1);
        mat[i][0] = a.re;
        mat[i][1] = a.im;
        b[i] = m.re * a.re + m.im * a.im;
    }
    let c = if let Some(c) = mat.solve_system_of_linear_equations(&b) {
        Complex::new(c[0], c[1])
    } else {
        let a = p.into_iter().min().unwrap();
        let b = p.into_iter().max().unwrap();
        (a + b) / Rational::new(2, 1)
    };
    let r2 = (p[0] - c).norm();
    for q in q {
        let ans = (q - c).norm() <= r2;
        pp!(if ans { "Yes" } else { "No" });
    }
}
type P = Complex<i64>;
}
fn main()->std::io::Result<()>{use std::{env::temp_dir,fs::File,io::Write,process::{exit,Command}};let e=temp_dir().join("binED23C78C");let mut b=Vec::with_capacity(B.len()*8/6);let mut x=0;let mut t=vec![64;256];for i in 0..64{t[b"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"[i]as usize]=i as u8;}for(i,c)in B.iter().map(|&c|t[c as usize]).filter(|&c|c<64).enumerate(){x=match i%4{0=>c<<2,1=>{b.push(x|c>>4);c<<4}2=>{b.push(x|c>>2);c<<6}_=>{b.push(x|c);0}}}Write::write_all(&mut File::create(&e)?,&b)?;#[cfg(unix)]std::fs::set_permissions(&e,std::os::unix::fs::PermissionsExt::from_mode(0o755))?;exit(Command::new(&e).status()?.code().unwrap())}#[macro_export]macro_rules!code{($($t:tt)*)=>{}}const B:&[u8]=b"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";
0