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Longest Path in a DAG

Find the heaviest path in a task dependency graph.

問題

Tasks 0..n−1 form a directed acyclic graph. Each edge [u, v, w] means task v can start w hours after task u. Find the length of the longest path (the critical path). Process nodes in topological order.

Implement longest_path(n, edges).

Input

n: The number of nodes. edges: Edges as [from, to, weight].

Output

Return the total weight of the longest path (0 if there are no edges).

制約

1 ≤ n ≤ 100,000; 0 ≤ edges ≤ 200,000; 1 ≤ weight ≤ 10,000; the graph has no cycles

例

例 1
入力:
n = 4
edges = [
    [0, 1, 3],
    [0, 2, 2],
    [1, 3, 4],
    [2, 3, 6]
]

期待される出力:
expected = 8
入力:
long long n = 4;
std::vector<std::vector<long long>> edges = {
    {0, 1, 3},
    {0, 2, 2},
    {1, 3, 4},
    {2, 3, 6}
};

期待される出力:
long long expected = 8;
入力:
long n = 4;
long[][] edges = new long[][] {
    new long[] {0, 1, 3},
    new long[] {0, 2, 2},
    new long[] {1, 3, 4},
    new long[] {2, 3, 6}
};

期待される出力:
long expected = 8;

解説

0→1→3 weighs 7, 0→2→3 weighs 8: the longest path is 8.

例 2
入力:
n = 3
edges = []

期待される出力:
expected = 0
入力:
long long n = 3;
std::vector<std::vector<long long>> edges = {};

期待される出力:
long long expected = 0;
入力:
long n = 3;
long[][] edges = new long[][] {};

期待される出力:
long expected = 0;

解説

Without edges every path has length 0.

参考資料

この課題はCodeUtility用に調整されています。上記の説明と制約に従ってください。

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