---
description: >-
  https://leetcode.com/problems/number-of-restricted-paths-from-first-to-last-node/
---

# 1786. Number of Restricted Paths From First to Last Node

There is an undirected weighted connected graph. You are given a positive integer `n` which denotes that the graph has `n` nodes labeled from `1` to `n`, and an array `edges` where each `edges[i] = [ui, vi, weighti]` denotes that there is an edge between nodes `ui` and `vi` with weight equal to `weighti`.

A path from node `start` to node `end` is a sequence of nodes `[z0, z1, z2, ..., zk]` such that `z0 = start` and `zk = end` and there is an edge between `zi` and `zi+1` where `0 <= i <= k-1`.

The distance of a path is the sum of the weights on the edges of the path. Let `distanceToLastNode(x)` denote the shortest distance of a path between node `n` and node `x`. A **restricted path** is a path that also satisfies that `distanceToLastNode(zi) > distanceToLastNode(zi+1)` where `0 <= i <= k-1`.

Return _the number of restricted paths from node_ `1` _to node_ `n`. Since that number may be too large, return it **modulo** `109 + 7`.

**Example 1:**![](https://assets.leetcode.com/uploads/2021/02/17/restricted_paths_ex1.png)

```
Input: n = 5, edges = [[1,2,3],[1,3,3],[2,3,1],[1,4,2],[5,2,2],[3,5,1],[5,4,10]]
Output: 3
Explanation: Each circle contains the node number in black and its distanceToLastNode value in blue. The three restricted paths are:
1) 1 --> 2 --> 5
2) 1 --> 2 --> 3 --> 5
3) 1 --> 3 --> 5
```

**Example 2:**![](https://assets.leetcode.com/uploads/2021/02/17/restricted_paths_ex22.png)

```
Input: n = 7, edges = [[1,3,1],[4,1,2],[7,3,4],[2,5,3],[5,6,1],[6,7,2],[7,5,3],[2,6,4]]
Output: 1
Explanation: Each circle contains the node number in black and its distanceToLastNode value in blue. The only restricted path is 1 --> 3 --> 7.
```

**Constraints:**

* `1 <= n <= 2 * 104`
* `n - 1 <= edges.length <= 4 * 104`
* `edges[i].length == 3`
* `1 <= ui, vi <= n`
* `ui != vi`
* `1 <= weighti <= 105`
* There is at most one edge between any two nodes.
* There is at least one path between any two nodes.

有权无向图包含标记为\[1, n]的n个节点， distanceToLastNode(x)表示从x点到n点最短距离，一条restricted path表示其中每个节点都满足distanceToLastNode(zi) > distanceToLastNode(zi+1) where 0 <= i <= k-1的路径，问图中一共有多少条restricted path。先求出每个节点的distanceToLastNode作为节点值，用Dijkstra。此时问题转化为找所有满足路径上节点值单调减的路径：找所有=>DFS。并且从任意一点开始的路径数一旦确定，它的值就可以cached以复用=>cached DFS。

```python
from heapq import heappush, heappop

class Solution:
    def countRestrictedPaths(self, n: int, edges: List[List[int]]) -> int:
        d, g = [float('inf')] * (n + 1), collections.defaultdict(list)
        for i, (a, b, w) in enumerate(edges):
            g[a].append((b, w))
            g[b].append((a, w))
        d[n] = 0
        heap = [(d[n], n)]
        while heap:
            dis, cur = heappop(heap)
            for nei, w in g[cur]:
                cand = dis + w
                if cand < d[nei]:
                    d[nei] = cand
                    heappush(heap, (d[nei], nei))
        res, M, visited = [0], 10 ** 9 + 7, [-1] * (n + 1)
        def dfs(cur, g, e, res):
            if visited[cur] != -1:
                return visited[cur]
            visited[cur] = 0
            if cur == e:
                visited[cur] = 1
                return visited[cur]
            for nei, _ in g[cur]:
                if d[nei] <= d[cur]:
                    continue
                visited[cur] = (visited[cur] % M + dfs(nei, g, e, res) % M) % M
            return visited[cur]
        return dfs(n, g, 1, res)
                
```
