![\"\"](\"https://assets.leetcode.com/uploads/2024/03/09/example1.png\")
There is an undirected graph of n nodes. You are given a 2D array edges, where edges[i] = [ui, vi, lengthi] describes an edge between node ui and node vi with a traversal time of lengthi units.
Additionally, you are given an array disappear, where disappear[i] denotes the time when the node i disappears from the graph and you won't be able to visit it.
Notice that the graph might be disconnected and might contain multiple edges.
\n\nReturn the array answer, with answer[i] denoting the minimum units of time required to reach node i from node 0. If node i is unreachable from node 0 then answer[i] is -1.
\n
Example 1:
\n\n
Input: n = 3, edges = [[0,1,2],[1,2,1],[0,2,4]], disappear = [1,1,5]
\n\nOutput: [0,-1,4]
\n\nExplanation:
\n\nWe are starting our journey from node 0, and our goal is to find the minimum time required to reach each node before it disappears.
\n\nedges[0]. Unfortunately, it disappears at that moment, so we won't be able to visit it.edges[2].Example 2:
\n\n![\"\"](\"https://assets.leetcode.com/uploads/2024/03/09/example2.png\")
Input: n = 3, edges = [[0,1,2],[1,2,1],[0,2,4]], disappear = [1,3,5]
\n\nOutput: [0,2,3]
\n\nExplanation:
\n\nWe are starting our journey from node 0, and our goal is to find the minimum time required to reach each node before it disappears.
\n\nedges[0].edges[0] and edges[1].Example 3:
\n\nInput: n = 2, edges = [[0,1,1]], disappear = [1,1]
\n\nOutput: [0,-1]
\n\nExplanation:
\n\nExactly when we reach node 1, it disappears.
\n\n
Constraints:
\n\n1 <= n <= 5 * 1040 <= edges.length <= 105edges[i] == [ui, vi, lengthi]0 <= ui, vi <= n - 11 <= lengthi <= 105disappear.length == n1 <= disappear[i] <= 105给你一个二维数组 edges 表示一个 n 个点的无向图，其中 edges[i] = [ui, vi, lengthi] 表示节点 ui 和节点 vi 之间有一条需要 lengthi 单位时间通过的无向边。
同时给你一个数组 disappear ，其中 disappear[i] 表示节点 i 从图中消失的时间点，在那一刻及以后，你无法再访问这个节点。
注意，图有可能一开始是不连通的，两个节点之间也可能有多条边。
\n\n请你返回数组 answer ，answer[i] 表示从节点 0 到节点 i 需要的 最少 单位时间。如果从节点 0 出发 无法 到达节点 i ，那么 answer[i] 为 -1 。
\n\n
示例 1：
\n\n
输入：n = 3, edges = [[0,1,2],[1,2,1],[0,2,4]], disappear = [1,1,5]
\n\n输出：[0,-1,4]
\n\n解释：
\n\n我们从节点 0 出发，目的是用最少的时间在其他节点消失之前到达它们。
\n\nedges[0] 到达。但当我们到达的时候，它已经消失了，所以我们无法到达它。edges[2] 到达。示例 2：
\n\n
输入：n = 3, edges = [[0,1,2],[1,2,1],[0,2,4]], disappear = [1,3,5]
\n\n输出：[0,2,3]
\n\n解释：
\n\n我们从节点 0 出发，目的是用最少的时间在其他节点消失之前到达它们。
\n\nedges[0] 到达。edges[0] 和 edges[1] 到达。示例 3：
\n\n输入：n = 2, edges = [[0,1,1]], disappear = [1,1]
\n\n输出：[0,-1]
\n\n解释：
\n\n当我们到达节点 1 的时候，它恰好消失，所以我们无法到达节点 1 。
\n\n\n
提示：
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