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

#[derive(Clone)]
pub struct AnnealingOptions {
    // pub steps: usize,
    pub time_limit: f64,
    pub max_temp: f64,
    pub min_temp: f64,
    pub restart: usize,
    pub threads: usize,
    pub silent: bool,
}

pub trait Annealer {
    type State: Clone + Send + Sync;
    type Move;

    fn init_state(&self, rng: &mut impl Rng) -> Self::State;
    // fn start_temp(&self, init_score: f64) -> f64;

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

    fn eval(&self, state: &Self::State) -> f64;

    fn neighbour(&self, state: &Self::State, rng: &mut impl Rng, progress: f64) -> Self::Move;

    fn apply(&self, state: &mut Self::State, mov: &Self::Move);
    fn unapply(&self, state: &mut Self::State, mov: &Self::Move);

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

pub fn annealing<A: 'static + Annealer + Clone + Send>(
    annealer: &A,
    opt: &AnnealingOptions,
    seed: u64,
) -> (f64, <A as Annealer>::State) {
    assert!(opt.threads > 0);

    if opt.threads == 1 {
        do_annealing(None, annealer, opt, seed)
    } else {
        let mut ths = vec![];
        let mut rng = StdRng::seed_from_u64(seed);

        for i in 0..opt.threads {
            let a = annealer.clone();
            let o = opt.clone();
            let tl_seed = rng.gen();
            ths.push(thread::spawn(move || {
                do_annealing(Some(i), &a, &o, tl_seed)
            }));
        }

        ths.into_iter()
            .map(|th| th.join().unwrap())
            .min_by(|a, b| a.0.partial_cmp(&b.0).unwrap())
            .unwrap()
    }
}

fn do_annealing<A: Annealer>(
    thread_id: Option<usize>,
    annealer: &A,
    opt: &AnnealingOptions,
    seed: u64,
) -> (f64, <A as Annealer>::State) {
    let mut rng = SmallRng::seed_from_u64(seed);

    let mut state = annealer.init_state(&mut rng);
    let mut cur_score = annealer.eval(&state);
    let mut best_score = cur_score;
    let mut best_ans = state.clone();

    macro_rules! progress {
        ($($arg:expr),*) => {
            if !opt.silent {
                if let Some(tid) = thread_id {
                    eprint!("[{:02}] ", tid);
                }
                eprintln!($($arg),*);
            }
        };
    }

    progress!("Initial score: {}", cur_score);

    // let mut restart_cnt = 0;

    // let t_max = annealer.start_temp(cur_score);
    let t_max = opt.max_temp;
    let t_min = opt.min_temp;

    // let step = opt.steps as f64;
    // let decay = ((t_min / t_max).ln() / step).exp();

    // progress!("Temperature decay: {}", decay);

    use std::time::SystemTime;

    let now = SystemTime::now();
    let x = (t_min / t_max).ln();

    let mut progress = 0.0;
    let mut temp = t_max;

    for turn in 0.. {
        // if temp < t_min {
        //     restart_cnt += 1;
        //     if restart_cnt >= opt.restart {
        //         break;
        //     }
        //     progress!("Restarting... {}/{}", restart_cnt, opt.restart);
        //     temp = t_max;
        // }

        if turn % 1000 == 0 {
            let elapsed = now.elapsed().unwrap().as_secs_f64();
            if elapsed >= opt.time_limit {
                progress!("{} steps done.", turn);
                break;
            }

            progress = elapsed / opt.time_limit;
            temp = t_max * (x * progress).exp();
        }

        let mov = annealer.neighbour(&state, &mut rng, progress);
        let new_score = annealer.apply_and_eval(&mut state, &mov, cur_score);

        if new_score <= cur_score
            || rng.gen::<f64>() <= ((cur_score - new_score) as f64 / temp).exp()
        {
            cur_score = new_score;
            if cur_score < best_score {
                if best_score - cur_score > 1e-6 {
                    progress!("Best: score = {:.3}, temp = {:.9}", cur_score, temp);
                }
                best_score = cur_score;
                best_ans = state.clone();
            }
        // if annealer.is_done(cur_score) {
        //     break;
        // }
        } else {
            annealer.unapply(&mut state, &mov);
        }
    }

    (best_score, best_ans)
}

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

#[derive(Clone)]
struct BS([u64; 6]);

impl BS {
    fn new() -> Self {
        BS([0; 6])
    }

    fn set(&mut self, i: usize) {
        self.0[i / 64] |= 1 << (i % 64);
    }

    fn clear(&mut self, i: usize) {
        self.0[i / 64] &= !(1 << (i % 64));
    }

    #[inline]
    fn find_forward(&mut self, i: usize) -> usize {
        let t = self.0[i / 64] & !((1 << (i % 64)) - 1);
        if t != 0 {
            return min(366, i / 64 * 64 + t.trailing_zeros() as usize);
        }

        for b in i / 64 + 1..self.0.len() {
            if self.0[b] != 0 {
                return min(366, b * 64 + self.0[b].trailing_zeros() as usize);
            }
        }

        366
    }

    #[inline]
    fn find_backword(&mut self, i: usize) -> usize {
        let t = self.0[i / 64] & ((1 << (i % 64)) - 1);
        if t != 0 {
            return i / 64 * 64 + 63 - t.leading_zeros() as usize;
        }

        for b in (0..i / 64).rev() {
            if self.0[b] != 0 {
                return b * 64 + 63 - self.0[b].leading_zeros() as usize;
            }
        }

        0
    }
}

#[test]
fn test_bs_find_forward() {
    let mut bs = BS::new();
    bs.set(123);
    bs.set(120);
    bs.set(365);

    assert_eq!(bs.find_forward(100), 120);
    assert_eq!(bs.find_forward(123), 123);
    assert_eq!(bs.find_forward(124), 365);
    assert_eq!(bs.find_forward(365), 365);
}

#[test]
fn test_bs_find_backword() {
    let mut bs = BS::new();
    bs.set(123);
    bs.set(120);

    assert_eq!(bs.find_backword(100), 0);
    assert_eq!(bs.find_backword(120), 0);
    assert_eq!(bs.find_backword(121), 120);
    assert_eq!(bs.find_backword(123), 120);
    assert_eq!(bs.find_backword(124), 123);
    assert_eq!(bs.find_backword(365), 123);
}

#[derive(Clone)]
struct State {
    alloc: Vec<usize>,
    bs: Vec<BS>,
}

enum Move {
    Change(usize, usize, usize),
    Swap(usize, usize),
}

impl Annealer for Problem {
    type State = State;
    type Move = Move;

    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);
        }

        let mut ss = vec![BS::new(); 26];

        for i in 0..self.d {
            ss[ret[i]].set(i + 1);
        }

        State { alloc: ret, bs: ss }
    }

    // fn start_temp(&self, _init_score: f64) -> f64 {
    //     // (init_score.abs() / 10.0).max(1_000_000.0)
    //     10_000.0
    // }

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

    fn neighbour(&self, state: &Self::State, rng: &mut impl Rng, progress: f64) -> Self::Move {
        let ty = rng.gen_range(0, 100);

        if ty < 50 {
            loop {
                let ix = rng.gen_range(0, self.d);
                let v = rng.gen_range(0, 26);

                if state.alloc[ix] != v {
                    return Move::Change(ix, v, state.alloc[ix]);
                }
            }
        } else {
            loop {
                let diffday = (20.0 * (1.0 - progress)) as usize + 1;

                let i = rng.gen_range(0, self.d - diffday);
                // let j = rng.gen_range(0, self.d);
                let j = i + rng.gen_range(0, diffday) + 1;

                if i != j {
                    return Move::Swap(i, j);
                }
            }
        }
    }

    fn apply(&self, state: &mut Self::State, mov: &Self::Move) {
        match mov {
            &Move::Change(ix, v, _u) => {
                state.alloc[ix] = v;
            }
            &Move::Swap(i, j) => {
                state.alloc.swap(i, j);
            }
        }
    }

    fn unapply(&self, state: &mut Self::State, mov: &Self::Move) {
        match mov {
            &Move::Change(ix, _v, u) => {
                let prev = state.alloc[ix];
                state.alloc[ix] = u;

                state.bs[prev].clear(ix + 1);
                state.bs[u].set(ix + 1);
            }
            &Move::Swap(i, j) => {
                let u = state.alloc[i];
                let v = state.alloc[j];

                state.bs[u].clear(i + 1);
                state.bs[u].set(j + 1);

                state.bs[v].clear(j + 1);
                state.bs[v].set(i + 1);

                state.alloc.swap(i, j);
            }
        }
    }

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

    fn apply_and_eval(&self, state: &mut Self::State, mov: &Self::Move, prev_score: f64) -> f64 {
        match mov {
            &Move::Change(ix, v, _u) => {
                let d = diff_score(&self.c, &self.s, state, ix, v);
                -(-prev_score + d as f64)
            }
            &Move::Swap(i, j) => {
                let u = state.alloc[i];
                let v = state.alloc[j];

                let d1 = diff_score(&self.c, &self.s, state, i, v);
                let d2 = diff_score(&self.c, &self.s, state, j, u);

                -(-prev_score + (d1 + d2) as f64)
            }
        }
    }
}

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

    let a = Problem { d, c, s };

    let (_score, sol) = annealing(
        &a,
        &AnnealingOptions {
            time_limit: 1.9000,
            min_temp: 100.0,
            max_temp: 10_000.0,
            // limit_temp: 100.0,
            // steps: 20_000_000,
            threads: 1,
            restart: 1,
            silent: false,
        },
        777,
    );

    for v in sol.alloc {
        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]];

        let span = i + 1 - last[t[i]];
        score -= c[t[i]] * (span * (span - 1) / 2) as i64;

        last[t[i]] = i + 1;
    }

    for j in 0..26 {
        let span = d + 1 - last[j];
        score -= c[j] * (span * (span - 1) / 2) as i64;
    }

    score
}

fn diff_score(c: &[i64], s: &Vec<Vec<i64>>, t: &mut State, i: usize, v: usize) -> i64 {
    let mut diff = 0;

    let u = t.alloc[i];

    diff += s[i][v];
    diff -= s[i][u];

    let f = |v, span| -1 * (c[v] * (span * (span - 1) / 2) as i64);

    {
        // let prev_u = (1..=i).rev().find(|i| t.1[u][*i]).unwrap_or(0);
        // let post_u = (i + 2..t.0.len()).find(|i| t.1[u][*i]).unwrap_or(t.0.len());

        let prev_u = t.bs[u].find_backword(i + 1);
        let post_u = t.bs[u].find_forward(i + 2);

        // {
        //     let t = (1..=i).rev().find(|i| t.0[i - 1] == u).unwrap_or(0);
        //     assert_eq!(prev_u, t, "{}", i);
        // }
        // {
        //     let t = (i + 2..t.0.len())
        //         .find(|i| t.0[i - 1] == u)
        //         .unwrap_or(t.0.len());
        //     assert_eq!(post_u, t, "{}", i);
        // }

        diff -= f(u, i + 1 - prev_u);
        diff -= f(u, post_u - (i + 1));
        diff += f(u, post_u - prev_u);
    }

    {
        // let prev_v = (1..=i).rev().find(|i| t.1[v][*i]).unwrap_or(0);
        // let post_v = (i + 2..t.0.len()).find(|i| t.1[v][*i]).unwrap_or(t.0.len());

        let prev_v = t.bs[v].find_backword(i + 1);
        let post_v = t.bs[v].find_forward(i + 2);

        // {
        //     let t = (1..=i).rev().find(|i| t.0[i - 1] == v).unwrap_or(0);
        //     assert_eq!(prev_v, t, "{}", i);
        // }
        // {
        //     let t = (i + 2..t.0.len())
        //         .find(|i| t.0[i - 1] == v)
        //         .unwrap_or(t.0.len());
        //     assert_eq!(post_v, t, "{}", i);
        // }

        diff += f(v, i + 1 - prev_v);
        diff += f(v, post_v - (i + 1));
        diff -= f(v, post_v - prev_v);
    }

    t.alloc[i] = v;
    t.bs[u].clear(i + 1);
    t.bs[v].set(i + 1);

    diff
}
*/

fn main() {
    let exe = "/tmp/bin715E32E5";
    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 = "
f0VMRgIBAQAAAAAAAAAAAAIAPgABAAAACEhCAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAEAAOAADAEAA
AAAAAAEAAAAFAAAAAAAAAAAAAAAAAEAAAAAAAAAAQAAAAAAACFACAAAAAAAIUAIAAAAAAAAAIAAAAAAA
AQAAAAYAAABoDQAAAAAAAGgNZQAAAAAAaA1lAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAABR5XRk
BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAOGu8txVUFgh
CAgNFgAAAADI9QQAyPUEAMgBAACoAAAAAgAAAPv7If9/RUxGAgEBAAIAPgANcARADxvybRYFAAjyBAAT
gR27ezgABwUPAA4rBQAALSFP2EAHWMgEAG22+84gADcGA2DOFwewg52QZBQjdz8AN2zBBpsEA8iyB0DD
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CfugIQAHuQAAAAAAAJAA/5DGBAD0PAIAAkkTAP/fdMsEABQDA0dOVQAgKYY+b5mXxM//////j8I1YTai
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";


Measured memory_bytes: 2500