// 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>, Vec<Vec<bool>>);
    // type Move = (usize, usize, usize);
    type Move = (usize, 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] = i % 26;
            ret[i] = rng.gen_range(0, 26);
        }

        let mut ss = vec![vec![false; self.d + 1]; 26];

        for i in 0..self.d {
            ss[ret[i]][i + 1] = true;
        }

        (ret, 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.0) 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.0[ix] != v {
        //         return (ix, v, state.0[ix]);
        //     }
        // }

        loop {
            let ty = rng.gen_range(0, 100);

            if ty < 80 {
                let ix = rng.gen_range(0, self.d);
                let v = rng.gen_range(0, 26);

                if state.0[ix] != v {
                    return (0, ix, v, state.0[ix]);
                }
            } else {
                let i = rng.gen_range(0, self.d);
                let j = rng.gen_range(0, self.d);
                // let j = (i + 1) % 26;

                if i != j {
                    return (1, i, j, 0);
                }
            }
        }
    }

    fn apply(&self, state: &mut Self::State, mov: &Self::Move) {
        if mov.0 == 0 {
            state.0[mov.1] = mov.2;
        } else {
            state.0.swap(mov.1, mov.2);
        }
    }

    fn unapply(&self, state: &mut Self::State, mov: &Self::Move) {
        if mov.0 == 0 {
            let prev = state.0[mov.1];
            state.0[mov.1] = mov.3;

            state.1[prev][mov.1 + 1] = false;
            state.1[mov.3][mov.1 + 1] = true;
        } else {
            let u = state.0[mov.1];
            let v = state.0[mov.2];

            state.1[u][mov.1 + 1] = false;
            state.1[u][mov.2 + 1] = true;
            state.1[v][mov.1 + 1] = true;
            state.1[v][mov.2 + 1] = false;

            state.0.swap(mov.1, 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 {
        if mov.0 == 0 {
            let d = diff_score(&self.c, &self.s, state, mov.1, mov.2);
            -(-prev_score + d as f64)
        } else {
            let u = state.0[mov.1];
            let v = state.0[mov.2];

            let d1 = diff_score(&self.c, &self.s, state, mov.1, v);
            let d2 = diff_score(&self.c, &self.s, state, mov.2, u);

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

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

    let (_score, sol) = annealing(
        &A { d, c, s },
        &AnnealingOptions {
            limit_temp: 100.0,
            steps: 8_000_000,
            threads: 1,
            restart: 1,
            silent: false,
        },
        777,
    );

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

    score
}

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

    let u = t.0[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());

        // t.1[u].range(..=i).last().cloned().unwrap_or(0);
        // let post_u = t.1[u].range(i + 2..).next().cloned().unwrap_or(t.0.len());

        // let mut prev_v = i;
        // let mut post_v = i + 2;

        // while prev_u > 0 && t.0[prev_u - 1] != u {
        //     prev_u -= 1;
        // }

        // while post_u < t.0.len() && t.0[post_u - 1] != u {
        //     post_u += 1;
        // }

        // post_u = min(t.0.len(), post_u);

        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.1[v].range(..=i).last().cloned().unwrap_or(0);
        // let post_v = t.1[v].range(i + 2..).next().cloned().unwrap_or(t.0.len());

        // let mut prev_v = i;
        // let mut post_v = i + 2;

        // while prev_v > 0 && t.0[prev_v - 1] != v {
        //     prev_v -= 1;
        // }

        // while post_v < t.0.len() && t.0[post_v - 1] != v {
        //     post_v += 1;
        // }

        // post_v = min(t.0.len(), post_v);

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

    t.0[i] = v;
    t.1[u][i + 1] = false;
    t.1[v][i + 1] = true;

    diff
}
*/

fn main() {
    let exe = "/tmp/binDE35DE33";
    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 = "
f0VMRgIBAQAAAAAAAAAAAAIAPgABAAAAEEJCAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAEAAOAADAEAA
AAAAAAEAAAAFAAAAAAAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAEEoCAAAAAAAQSgIAAAAAAAAAIAAAAAAA
AQAAAAYAAABoDQAAAAAAAGj9ZAAAAAAAaP1kAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAABR5XRk
BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAG2ufCRVUFgh
CAgNFgAAAADI5QQAyOUEAMgBAACpAAAAAgAAAPv7If9/RUxGAgEBAAIAPgANcARADxvybRYFAAjiBAAT
gR27ezgABwUPAA4rBQAALSFP2EAHSLsEAG22+84gADcGA4C/Fwdhn52QZPghLeg9ADfZgg02BAPIsgdA
hyXkCSQAAHUHh42wYAtvAMjs9y1hbQBQ5XRkMcxtN4Q8IdsHRMQKABXY7rBvUTcGAAARFuzkEABSb6fA
EBL2gCAAB7kAAAAAAAAgAf+AuQQAODcCAAJJEwD/33TLBAAUAwNHTlUA5xZWUAetmHGy/////5rsqXpP
81qUFtbfUFjDAEFXQVYxwEFVQVRJg8z/VVNJt5f//4n+TInPTo0sAkiD7EhIiTQkTCQIE+FMm/tvdwco
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";


Measured memory_bytes: 2484