#[allow(unused_imports)] use std::cmp::*; #[allow(unused_imports)] use std::collections::*; use std::io::{Write, BufWriter}; // https://qiita.com/tanakh/items/0ba42c7ca36cd29d0ac8 macro_rules! input { ($($r:tt)*) => { let stdin = std::io::stdin(); let mut bytes = std::io::Read::bytes(std::io::BufReader::new(stdin.lock())); let mut next = move || -> String{ bytes.by_ref().map(|r|r.unwrap() as char) .skip_while(|c|c.is_whitespace()) .take_while(|c|!c.is_whitespace()) .collect() }; input_inner!{next, $($r)*} }; } macro_rules! input_inner { ($next:expr) => {}; ($next:expr, ) => {}; ($next:expr, $var:ident : $t:tt $($r:tt)*) => { let $var = read_value!($next, $t); input_inner!{$next $($r)*} }; } macro_rules! read_value { ($next:expr, [graph1; $len:expr]) => {{ let mut g = vec![vec![]; $len]; let ab = read_value!($next, [(usize1, usize1)]); for (a, b) in ab { g[a].push(b); g[b].push(a); } g }}; ($next:expr, ( $($t:tt),* )) => { ( $(read_value!($next, $t)),* ) }; ($next:expr, [ $t:tt ; $len:expr ]) => { (0..$len).map(|_| read_value!($next, $t)).collect::>() }; ($next:expr, chars) => { read_value!($next, String).chars().collect::>() }; ($next:expr, usize1) => (read_value!($next, usize) - 1); ($next:expr, [ $t:tt ]) => {{ let len = read_value!($next, usize); read_value!($next, [$t; len]) }}; ($next:expr, $t:ty) => ($next().parse::<$t>().expect("Parse error")); } #[allow(unused)] macro_rules! debug { ($($format:tt)*) => (write!(std::io::stderr(), $($format)*).unwrap()); } #[allow(unused)] macro_rules! debugln { ($($format:tt)*) => (writeln!(std::io::stderr(), $($format)*).unwrap()); } /* * Dijkstra's algorithm. * Verified by: AtCoder ABC164 (https://atcoder.jp/contests/abc164/submissions/12423853) */ struct Dijkstra { edges: Vec>, // adjacent list representation } impl Dijkstra { fn new(n: usize) -> Self { Dijkstra { edges: vec![Vec::new(); n] } } fn add_edge(&mut self, from: usize, to: usize, cost: i64) { self.edges[from].push((to, cost)); } /* * This function returns a Vec consisting of the distances from vertex source. */ fn solve(&self, source: usize, inf: i64) -> Vec { let n = self.edges.len(); let mut d = vec![inf; n]; // que holds (-distance, vertex), so that que.pop() returns the nearest element. let mut que = std::collections::BinaryHeap::new(); que.push((0, source)); while let Some((cost, pos)) = que.pop() { let cost = -cost; if d[pos] <= cost { continue; } d[pos] = cost; for &(w, c) in &self.edges[pos] { let newcost = cost + c; if d[w] > newcost { d[w] = newcost + 1; que.push((-newcost, w)); } } } return d; } } fn solve() { let out = std::io::stdout(); let mut out = BufWriter::new(out.lock()); macro_rules! puts { ($($format:tt)*) => (let _ = write!(out,$($format)*);); } #[allow(unused)] macro_rules! putvec { ($v:expr) => { for i in 0..$v.len() { puts!("{}{}", $v[i], if i + 1 == $v.len() {"\n"} else {" "}); } } } input! { n: usize, m: usize, hwc: [(usize1, usize1, i64); m], } let mut dijk = Dijkstra::new(2 * n * n); let mut fee = vec![vec![0; n]; n]; for &(h, w, c) in &hwc { fee[h][w] = c; } for i in 0..2 * n { for j in 0..n - 1 { let v = i * n + j; dijk.add_edge(v, v + 1, fee[i % n][j + 1] + 1); dijk.add_edge(v + 1, v, fee[i % n][j] + 1); if i < n { dijk.add_edge(v, n * n + v + 1, 1); dijk.add_edge(v + 1, n * n + v, 1); } } } for i in 0..2 * n { if i % n == n - 1 { continue; } for j in 0..n { let v = i * n + j; dijk.add_edge(v, v + n, fee[i % n + 1][j] + 1); dijk.add_edge(v + n, v, fee[i % n][j] + 1); if i < n { dijk.add_edge(v, n * n + v + n, 1); dijk.add_edge(v + n, n * n + v, 1); } } } let sol = dijk.solve(0, 1 << 50); puts!("{}\n", min(sol[2 * n * n - 1], sol[n * n - 1])); } fn main() { // In order to avoid potential stack overflow, spawn a new thread. let stack_size = 104_857_600; // 100 MB let thd = std::thread::Builder::new().stack_size(stack_size); thd.spawn(|| solve()).unwrap().join().unwrap(); }