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Kotlin-based LeetCode algorithm problem solutions, regularly updated
2699\. Modify Graph Edge Weights
Hard
You are given an **undirected weighted** **connected** graph containing `n` nodes labeled from `0` to `n - 1`, and an integer array `edges` where edges[i] = [ai, bi, wi]
indicates that there is an edge between nodes ai
and bi
with weight wi
.
Some edges have a weight of `-1` (wi = -1
), while others have a **positive** weight (wi > 0
).
Your task is to modify **all edges** with a weight of `-1` by assigning them **positive integer values** in the range [1, 2 * 109]
so that the **shortest distance** between the nodes `source` and `destination` becomes equal to an integer `target`. If there are **multiple** **modifications** that make the shortest distance between `source` and `destination` equal to `target`, any of them will be considered correct.
Return _an array containing all edges (even unmodified ones) in any order if it is possible to make the shortest distance from_ `source` _to_ `destination` _equal to_ `target`_, or an **empty array** if it's impossible._
**Note:** You are not allowed to modify the weights of edges with initial positive weights.
**Example 1:**
**![](https://assets.leetcode.com/uploads/2023/04/18/graph.png)**
**Input:** n = 5, edges = [[4,1,-1],[2,0,-1],[0,3,-1],[4,3,-1]], source = 0, destination = 1, target = 5
**Output:** [[4,1,1],[2,0,1],[0,3,3],[4,3,1]]
**Explanation:** The graph above shows a possible modification to the edges, making the distance from 0 to 1 equal to 5.
**Example 2:**
**![](https://assets.leetcode.com/uploads/2023/04/18/graph-2.png)**
**Input:** n = 3, edges = [[0,1,-1],[0,2,5]], source = 0, destination = 2, target = 6
**Output:** []
**Explanation:** The graph above contains the initial edges. It is not possible to make the distance from 0 to 2 equal to 6 by modifying the edge with weight -1. So, an empty array is returned.
**Example 3:**
**![](https://assets.leetcode.com/uploads/2023/04/19/graph-3.png)**
**Input:** n = 4, edges = [[1,0,4],[1,2,3],[2,3,5],[0,3,-1]], source = 0, destination = 2, target = 6
**Output:** [[1,0,4],[1,2,3],[2,3,5],[0,3,1]]
**Explanation:** The graph above shows a modified graph having the shortest distance from 0 to 2 as 6.
**Constraints:**
* `1 <= n <= 100`
* `1 <= edges.length <= n * (n - 1) / 2`
* `edges[i].length == 3`
* 0 <= ai, bi < n
* wi = -1
or 1 <= wi <= 107
* ai != bi
* `0 <= source, destination < n`
* `source != destination`
* 1 <= target <= 109
* The graph is connected, and there are no self-loops or repeated edges