Medium
You are in a city that consists of n
intersections numbered from 0
to n - 1
with bi-directional roads between some intersections. The inputs are generated such that you can reach any intersection from any other intersection and that there is at most one road between any two intersections.
You are given an integer n
and a 2D integer array roads
where roads[i] = [ui, vi, timei]
means that there is a road between intersections ui
and vi
that takes timei
minutes to travel. You want to know in how many ways you can travel from intersection 0
to intersection n - 1
in the shortest amount of time.
Return the number of ways you can arrive at your destination in the shortest amount of time. Since the answer may be large, return it modulo 109 + 7
.
Example 1:
Input: n = 7, roads = [[0,6,7],[0,1,2],[1,2,3],[1,3,3],[6,3,3],[3,5,1],[6,5,1],[2,5,1],[0,4,5],[4,6,2]]
Output: 4
Explanation: The shortest amount of time it takes to go from intersection 0 to intersection 6 is 7 minutes. The four ways to get there in 7 minutes are:
0 ➝ 6
0 ➝ 4 ➝ 6
0 ➝ 1 ➝ 2 ➝ 5 ➝ 6
0 ➝ 1 ➝ 3 ➝ 5 ➝ 6
Example 2:
Input: n = 2, roads = [[1,0,10]]
Output: 1
Explanation: There is only one way to go from intersection 0 to intersection 1, and it takes 10 minutes.
Constraints:
1 <= n <= 200
n - 1 <= roads.length <= n * (n - 1) / 2
roads[i].length == 3
0 <= ui, vi <= n - 1
1 <= timei <= 109
ui != vi
import java.util.PriorityQueue
import java.util.Queue
class Solution {
private fun dijkstra(roads: Array<IntArray>, n: Int): Int {
val mod = 1e9.toInt() + 7L
val pq: Queue<LongArray> = PriorityQueue({ l1: LongArray, l2: LongArray -> l1[1].compareTo(l2[1]) })
val ways = LongArray(n)
val dist = LongArray(n)
dist.fill(1e18.toLong())
dist[0] = 0
ways[0] = 1
val graph: Array<ArrayList<LongArray>?> = arrayOfNulls<ArrayList<LongArray>>(n)
for (i in graph.indices) {
graph[i] = ArrayList()
}
for (road in roads) {
graph[road[0]]?.add(longArrayOf(road[1].toLong(), road[2].toLong()))
graph[road[1]]?.add(longArrayOf(road[0].toLong(), road[2].toLong()))
}
pq.add(longArrayOf(0, 0))
if (pq.isNotEmpty()) {
while (pq.isNotEmpty()) {
val ele = pq.remove()
val dis = ele[1]
val node = ele[0]
for (e in graph[node.toInt()]!!) {
val wt = e[1]
val adjNode = e[0]
if (wt + dis < dist[adjNode.toInt()]) {
dist[adjNode.toInt()] = wt + dis
ways[adjNode.toInt()] = ways[node.toInt()]
pq.add(longArrayOf(adjNode, dist[adjNode.toInt()]))
} else if (wt + dis == dist[adjNode.toInt()]) {
ways[adjNode.toInt()] = (ways[node.toInt()] + ways[adjNode.toInt()]) % mod
}
}
}
}
return ways[n - 1].toInt()
}
fun countPaths(n: Int, roads: Array<IntArray>): Int {
return dijkstra(roads, n)
}
}