{ "data": { "question": { "questionId": "3389", "questionFrontendId": "3112", "boundTopicId": null, "title": "Minimum Time to Visit Disappearing Nodes", "titleSlug": "minimum-time-to-visit-disappearing-nodes", "content": "

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.

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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.

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Notice that the graph might be disconnected and might contain multiple edges.

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Return 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.

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Example 1:

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Input: n = 3, edges = [[0,1,2],[1,2,1],[0,2,4]], disappear = [1,1,5]

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Output: [0,-1,4]

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Explanation:

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We are starting our journey from node 0, and our goal is to find the minimum time required to reach each node before it disappears.

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Example 2:

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Input: n = 3, edges = [[0,1,2],[1,2,1],[0,2,4]], disappear = [1,3,5]

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Output: [0,2,3]

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Explanation:

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We are starting our journey from node 0, and our goal is to find the minimum time required to reach each node before it disappears.

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Example 3:

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Input: n = 2, edges = [[0,1,1]], disappear = [1,1]

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Output: [0,-1]

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Explanation:

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Exactly when we reach node 1, it disappears.

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Constraints:

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Compiled with clang 17 using the latest C++ 20 standard, and libstdc++ provided by GCC 11.

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Most standard library headers are already included automatically for your convenience.

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OpenJDK 21. Using compile arguments: --enable-preview --release 21

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Python 2.7.12.

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C# 12 with .NET 8 runtime

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Node.js 20.10.0.

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Ruby 3.2

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Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms

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Swift 5.9.

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Go 1.21

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Python 3.11.

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PHP 8.2.

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Racket CS v8.11

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Dart 3.2

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