// This code is generated by [cargo-atcoder](https://github.com/tanakh/cargo-atcoder)
// Original source code:
/*
use competitive::prelude::*;
use rand::prelude::*;
use simulated_annealing::*;

#[derive(Clone)]
struct A {
    // state: Vec<usize>,
    d: usize,
    c: Vec<i64>,
    s: Vec<Vec<i64>>,
}

impl Annealer for A {
    type State = Vec<usize>;
    type Move = (usize, usize, usize);

    fn init_state(&self, rng: &mut impl Rng) -> Self::State {
        let mut ret = vec![0; self.d];
        for i in 0..self.d {
            ret[i] = rng.gen_range(0, 26);
        }
        ret
    }

    fn start_temp(&self, init_score: f64) -> f64 {
        (init_score.abs() / 10.0).max(10000.0)
    }

    fn eval(&self, state: &Self::State) -> f64 {
        -calc_score(&self.c, &self.s, &state) as f64
    }

    fn neighbour(&self, state: &Self::State, rng: &mut impl Rng) -> Self::Move {
        loop {
            let ix = rng.gen_range(0, self.d);
            let v = rng.gen_range(0, 26);

            if state[ix] != v {
                return (ix, v, state[ix]);
            }
        }
    }

    fn apply(&self, state: &mut Self::State, mov: &Self::Move) {
        state[mov.0] = mov.1;
    }

    fn unapply(&self, state: &mut Self::State, mov: &Self::Move) {
        state[mov.0] = mov.2;
    }

    fn is_done(&self, _score: f64) -> bool {
        false
    }

    // fn apply_and_eval(&self, state: &mut Self::State, mov: &Self::Move, _prev_score: f64) -> f64 {
    //     simulated_annealing.apply(state, mov);
    //     simulated_annealing.eval(state)
    // }
}

fn main() {
    input! {
        d: usize,
        c: [i64; 26],
        s: [[i64; 26]; d],
    }

    let (_score, sol) = annealing(
        &A { d, c, s },
        &AnnealingOptions {
            limit_temp: 0.1,
            restart: 1,
            silent: false,
            steps: 200000,
            threads: 1,
        },
        777,
    );

    for v in sol {
        echo!(v + 1);
    }
}

fn calc_score(c: &[i64], s: &Vec<Vec<i64>>, t: &[usize]) -> i64 {
    let d = t.len();
    let mut score = 0;
    let mut last = vec![0; 26];

    for i in 0..d {
        score += s[i][t[i]];
        last[t[i]] = i + 1;
        for j in 0..26 {
            score -= c[j] * (i + 1 - last[j]) as i64;
        }
    }

    score
}
*/

fn main() {
    let exe = "/tmp/bin914D06BE";
    std::io::Write::write_all(&mut std::fs::File::create(exe).unwrap(), &decode(BIN)).unwrap();
    std::fs::set_permissions(exe, std::os::unix::fs::PermissionsExt::from_mode(0o755)).unwrap();
    std::process::exit(std::process::Command::new(exe).status().unwrap().code().unwrap())
}

fn decode(v: &str) -> Vec<u8> {
    let mut ret = vec![];
    let mut buf = 0;
    let mut tbl = vec![64; 256];
    for i in 0..64 { tbl[TBL[i] as usize] = i as u8; }
    for (i, c) in v.bytes().filter_map(|c| { let c = tbl[c as usize]; if c < 64 { Some(c) } else { None } }).enumerate() {
        match i % 4 {
            0 => buf = c << 2,
            1 => { ret.push(buf | c >> 4); buf = c << 4; }
            2 => { ret.push(buf | c >> 2); buf = c << 6; }
            3 => ret.push(buf | c),
            _ => unreachable!(),
        }
    }
    ret
}

const TBL: &'static [u8] = b"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";
const BIN: &'static str = "
f0VMRgIBAQAAAAAAAAAAAAIAPgABAAAAkDtCAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAEAAOAADAEAA
AAAAAAEAAAAFAAAAAAAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAkEMCAAAAAACQQwIAAAAAAAAAIAAAAAAA
AQAAAAYAAABoDQAAAAAAAGjtZAAAAAAAaO1kAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAABR5XRk
BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAALGu67xVUFgh
DAgNFgAAAADI1QQAyNUEAMgBAACpAAAAAgAAAPv7If9/RUxGAgEBAAIAPgANcARADxvybRYFAAjSBAAT
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EBL2QB4AB7kAAAAAAAAgAf/wrQQABDECAAJJEwD/33TLBAAUAwNHTlUAYhSqqjMJ/D7p/////2jXhR7Y
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";


Measured memory_bytes: 2536