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

pub struct WeightedGraph {
  graph: Vec<Vec<(usize, i64)>>,
  v: usize,
  inf: i64,
}

impl WeightedGraph {
  pub fn new(edges: &[(usize, usize, i64)], v: usize) -> Self {
    let mut graph = vec![Vec::new(); v];
    for &(u, v, w) in edges {
      graph[u].push((v, w));
      graph[v].push((u, w));
    }
    let inf = 1 << 60;
    Self { graph, v, inf }
  }

  pub fn new_directed(edges: &[(usize, usize, i64)], v: usize) -> Self {
    let mut graph = vec![Vec::new(); v];
    for &(u, v, w) in edges {
      graph[u].push((v, w));
    }
    let inf = 1 << 60;
    Self { graph, v, inf }
  }

  pub fn bellman_ford(&self, s: usize) -> Option<Vec<i64>> {
    let v = self.v;
    let inf = self.inf;
    let mut d = vec![inf; v];
    d[s] = 0;
    let mut count = 0;
    loop {
      let mut updated = false;
      for u in 0..v {
        for &(v, w) in &self.graph[u] {
          if d[u] != inf && d[u] + w < d[v] {
            d[v] = d[u] + w;
            updated = true;
          }
        }
      }
      if !updated {
        return Some(d);
      }
      count += 1;
      if count == v {
        return None;
      }
    }
  }

  pub fn prim(&self, s: usize) -> i64 {
    let mut used = std::collections::HashSet::new();
    let mut heap = std::collections::BinaryHeap::new();

    let mut res = 0_i64;
    heap.push(std::cmp::Reverse((0_i64, s)));
    while let Some(std::cmp::Reverse((cost, u))) = heap.pop() {
      if used.contains(&u) {
        continue;
      }
      used.insert(u);
      res += cost;
      for &(v, c) in &self.graph[u] {
        if used.contains(&v) {
          continue;
        }
        heap.push(std::cmp::Reverse((c, v)));
      }
    }
    res
  }

  pub fn reachable_vertexes(&self, s: usize) -> std::collections::HashSet<usize> {
    let mut visited = std::collections::HashSet::new();
    let mut queue = std::collections::VecDeque::new();
    visited.insert(s);
    while let Some(u) = queue.pop_front() {
      for &(v, _) in &self.graph[u] {
        if visited.contains(&v) {
          continue;
        }
        visited.insert(v);
        queue.push_back(v);
      }
    }
    visited
  }

  pub fn shortest_path(&self, start: usize) -> Vec<i64> {
    let mut dist = vec![self.inf; self.v];
    let mut heap = std::collections::BinaryHeap::new();

    dist[start] = 0;
    heap.push(std::cmp::Reverse((0_i64, start)));

    while let Some(std::cmp::Reverse((cost, u))) = heap.pop() {
      if cost > dist[u] {
        continue;
      }
      for &(v, c) in &self.graph[u] {
        let new_cost = cost + c;
        if new_cost < dist[v] {
          heap.push(std::cmp::Reverse((new_cost, v)));
          dist[v] = new_cost;
        }
      }
    }
    dist
  }

  pub fn warshall_floyd(&self) -> Vec<Vec<i64>> {
    let inf = self.inf;
    let v = self.v;
    let mut d = vec![vec![inf; v]; v];
    for u in 0..v {
      for &(v, w) in &self.graph[u] {
        d[u][v] = w;
      }
    }
    for i in 0..v {
      d[i][i] = 0;
    }
    for k in 0..v {
      for i in 0..v {
        for j in 0..v {
          d[i][j] = std::cmp::min(d[i][j], d[i][k] + d[k][j]);
        }
      }
    }
    d
  }
}

fn main() {
  input! {
    n: usize,
    vertexes: [(usize, usize); n]
  };

  let vertexes = vertexes
    .into_iter()
    .enumerate()
    .collect::<Vec<(usize, (usize, usize))>>();
  let mut sorted_x_vertexes = vertexes.clone();
  sorted_x_vertexes.sort_by_key(|&(_, (x, _))| x);
  let mut sorted_y_vertexes = vertexes.clone();
  sorted_y_vertexes.sort_by_key(|&(_, (_, y))| y);

  let mut edges = Vec::new();
  for i in 0..(n - 1) {
    let (u, (x1, _)) = sorted_x_vertexes[i];
    let (v, (x2, _)) = sorted_x_vertexes[i + 1];
    let cost = (x2 - x1) as i64;
    edges.push((u, v, cost));
  }
  for i in 0..(n - 1) {
    let (u, (_, y1)) = sorted_y_vertexes[i];
    let (v, (_, y2)) = sorted_y_vertexes[i + 1];
    let cost = (y2 - y1) as i64;
    edges.push((u, v, cost));
  }

  let graph = WeightedGraph::new(&edges, n);
  let res = graph.prim(0);
  println!("{}", res);
}
*/

fn main() {
    let exe = "/tmp/bin332A088D";
    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 = "
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DwAOAAEAAAAFAAAAAAAAAAAAAAAAAEAAAAAAAAAAQAAAAAAA4KUDAAAAAADgpQMAAAAAAAAAIAAAAAAA
AQAAAAYAAACAtQMAAAAAAIC1YwAAAAAAgLVjAAAAAABYHAAAAAAAAMg3AAAAAAAAAAAgAAAAAAAHAAAA
BAAAAIC1AwAAAAAAgLVjAAAAAACAtWMAAAAAADAAAAAAAAAA6AAAAAAAAAAgAAAAAAAAAFDldGQEAAAA
DFoDAAAAAAAMWkMAAAAAAAxaQwAAAAAATAoAAAAAAABMCgAAAAAAAAQAAAAAAAAAUeV0ZAYAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAABS5XRkBAAAAIC1AwAAAAAA
gLVjAAAAAACAtWMAAAAAAIAaAAAAAAAAgBoAAAAAAAABAAAAAAAAAFBYwwAAAAAAAAAAAAAAAABBV0FW
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591CAAAAAADW4UIAAAAAAHPfQgAAAAAA+9lCAAAAAAAW2kIAAAAAAKSQQgAAAAAABdNCAAAAAAD+2UIA
AAAAADDPQgAAAAAAnZFCAAAAAACAp0IAAAAAAJjhQgAAAAAA8OBCAAAAAAAApUIAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
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BQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8OpCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
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AwQAAAAAAACAtWMAAAAAAIC1AwAAAAAAMAAAAAAAAAAAAAAAAAAAACAAAAAAAAAAAAAAAAAAAABEAAAA
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IAAAAAAAAAAAAAAAAAAAAGcAAAABAAAAMAAAAAAAAAAAAAAAAAAAANjRAwAAAAAAEQAAAAAAAAAAAAAA
AAAAAAEAAAAAAAAAAQAAAAAAAAABAAAAAwAAAAAAAAAAAAAAAAAAAAAAAADp0QMAAAAAAHAAAAAAAAAA
AAAAAAAAAAABAAAAAAAAAAAAAAAAAAAA
";


Measured memory_bytes: 35068