// This code is generated by [cargo-atcoder](https://github.com/tanakh/cargo-atcoder)
// Original source code:
/*
use proconio::{fastout, input, marker::Usize1};

use std::cmp::Ordering;
use std::collections::BinaryHeap;
#[derive(Copy, Clone, Eq, PartialEq)]
struct State {
    cost: usize,
    pos: usize,
}

impl Ord for State {
    fn cmp(&self, other: &State) -> Ordering {
        other
            .cost
            .cmp(&self.cost)
            .then_with(|| self.pos.cmp(&other.pos))
    }
}

impl PartialOrd for State {
    fn partial_cmp(&self, other: &State) -> Option<Ordering> {
        Some(self.cmp(other))
    }
}
#[derive(Copy, Clone, Eq, PartialEq)]

pub struct Edge {
    to: usize,
    cost: usize,
}

impl Edge {
    fn new(to: usize, cost: usize) -> Edge {
        Edge { to, cost }
    }
}

pub struct AdjList {
    dim: usize,
    list: Vec<Vec<Edge>>,
}

impl AdjList {
    pub fn new(d: usize) -> AdjList {
        AdjList {
            dim: d,
            list: vec![vec![]; d],
        }
    }

    pub fn dim(&self) -> usize {
        self.dim
    }

    pub fn add_edge(&mut self, from: usize, to: usize, cost: usize) {
        self.list.get_mut(from).unwrap().push(Edge::new(to, cost));
    }

    pub fn add_undirected_edge(&mut self, from: usize, to: usize, cost: usize) {
        self.list.get_mut(from).unwrap().push(Edge::new(to, cost));
        self.list.get_mut(to).unwrap().push(Edge::new(from, cost));
    }

    pub fn out_edges(&mut self, vertex: usize) -> Vec<Edge> {
        self.list.get_mut(vertex).unwrap().to_vec()
    }

    pub fn in_edges(&mut self, v: usize) -> Vec<usize> {
        let mut res = vec![];
        for l in 0..self.dim() {
            if let Some(list) = self.list.get(l) {
                if list.contains(&Edge::new(v, 0)) {
                    res.push(l);
                }
            }
        }

        res
    }

    fn shortest_path(&self, start: usize, goal: usize) -> Option<usize> {
        let mut dist: Vec<_> = (0..self.list.len()).map(|_| usize::MAX).collect();
        let mut heap = BinaryHeap::new();
        dist[start] = 0;
        heap.push(State {
            cost: 0,
            pos: start,
        });
        while let Some(State { cost, pos }) = heap.pop() {
            if pos == goal {
                return Some(cost);
            }
            if cost > dist[pos] {
                continue;
            }
            for edge in &self.list[pos] {
                let next = State {
                    cost: cost + edge.cost,
                    pos: edge.to,
                };
                if next.cost < dist[next.pos] {
                    heap.push(next);
                    dist[next.pos] = next.cost;
                }
            }
        }
        None
    }

    fn shortest_paths(&self, start: usize) -> Vec<usize> {
        let mut dist: Vec<_> = (0..self.list.len()).map(|_| usize::MAX).collect();
        let mut heap = BinaryHeap::new();
        dist[start] = 0;
        heap.push(State {
            cost: 0,
            pos: start,
        });
        while let Some(State { cost, pos }) = heap.pop() {
            if cost > dist[pos] {
                continue;
            }
            for edge in &self.list[pos] {
                let next = State {
                    cost: cost + edge.cost,
                    pos: edge.to,
                };
                if next.cost < dist[next.pos] {
                    heap.push(next);
                    dist[next.pos] = next.cost;
                }
            }
        }
        dist
    }
}

#[fastout]
fn main() {
    input! {
        n:usize,
        ab: [(Usize1, Usize1); n-1],
    }

    let mut graph = AdjList::new(n);
    for i in 0..n - 1 {
        graph.add_undirected_edge(ab[i].0, ab[i].1, 1);
    }

    let df = graph.shortest_paths(0);
    let ds = graph.shortest_paths(n - 1);
    let mut f = 0;
    let mut s = 0;
    for i in 0..n {
        if df[i] <= ds[i] {
            f += 1;
        } else {
            s += 1;
        }
    }

    if f > s {
        println!("Fennec");
    } else {
        println!("Snuke");
    }
}
*/

fn main() {
    let exe = "/tmp/binD7302943";
    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 = "
f0VMRgIBAQAAAAAAAAAAAAIAPgABAAAAcARAAAAAAABAAAAAAAAAAOhhBAAAAAAAAAAAAEAAOAAHAEAA
DwAOAAEAAAAFAAAAAAAAAAAAAAAAAEAAAAAAAAAAQAAAAAAA0DoEAAAAAADQOgQAAAAAAAAAIAAAAAAA
AQAAAAYAAADgRQQAAAAAAOBFZAAAAAAA4EVkAAAAAAB4GwAAAAAAAGg3AAAAAAAAAAAgAAAAAAAEAAAA
BAAAAMgBAAAAAAAAyAFAAAAAAADIAUAAAAAAACQAAAAAAAAAJAAAAAAAAAAEAAAAAAAAAAcAAAAEAAAA
4EUEAAAAAADgRWQAAAAAAOBFZAAAAAAAAAAAAAAAAACIAAAAAAAAACAAAAAAAAAAUOV0ZAQAAADs+QMA
AAAAAOz5QwAAAAAA7PlDAAAAAAD0CQAAAAAAAPQJAAAAAAAABAAAAAAAAABR5XRkBgAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAFLldGQEAAAA4EUEAAAAAADgRWQA
AAAAAOBFZAAAAAAAIBoAAAAAAAAgGgAAAAAAAAEAAAAAAAAABAAAABQAAAADAAAAR05VAFdiecU29A2k
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5XxDAAAAAADnSEMAAAAAAMgwQwAAAAAA1kRDAAAAAAAeLkMAAAAAACR1QwAAAAAAK39DAAAAAABsdUMA
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AAAAAIt2QwAAAAAApnZDAAAAAAAQLkMAAAAAAJVvQwAAAAAAjnZDAAAAAADAa0MAAAAAAIZFQwAAAAAA
8ENDAAAAAACAfUMAAAAAAHBBQwAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAkDRBAAAAAACga2QAAAAAAKBjZAAAAAAAoGNkAAAAAABgYGQAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHCHQwAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKaHQwAAAAAAkIdDAAAAAABAcmQAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAAAAA//////////8AAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAIAAAAAACCLQwAAAAAAR0NDOiAoR05VKSA2LjQuMAAALnNoc3RydGFiAC5ub3RlLmdu
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AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAsAAAAHAAAA
AgAAAAAAAADIAUAAAAAAAMgBAAAAAAAAJAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAeAAAA
AQAAAAYAAAAAAAAA7AFAAAAAAADsAQAAAAAAAAMAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAA
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AAAAACoAAAABAAAABgAAAAAAAAAtkEMAAAAAAC2QAwAAAAAAAwAAAAAAAAAAAAAAAAAAAAEAAAAAAAAA
AAAAAAAAAAAwAAAAAQAAAAIAAAAAAAAAQJBDAAAAAABAkAMAAAAAAKtpAAAAAAAAAAAAAAAAAAAgAAAA
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BAAAAAAAAAAAAAAAAAAAAEYAAAABAABwAgAAAAAAAADgA0QAAAAAAOADBAAAAAAA8DYAAAAAAAAAAAAA
AAAAAAgAAAAAAAAAAAAAAAAAAABQAAAACAAAAAMEAAAAAAAA4EVkAAAAAADgRQQAAAAAAIgAAAAAAAAA
AAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAVgAAAAEAAAADAAAAAAAAAOBFZAAAAAAA4EUEAAAAAABQGAAA
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AAAAAAAAAABpYQQAAAAAAHwAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAA
";


Measured memory_bytes: 17808