{ "data": { "question": { "questionId": "1815", "questionFrontendId": "1697", "categoryTitle": "Algorithms", "boundTopicId": 524856, "title": "Checking Existence of Edge Length Limited Paths", "titleSlug": "checking-existence-of-edge-length-limited-paths", "content": "

An undirected graph of n nodes is defined by edgeList, where edgeList[i] = [ui, vi, disi] denotes an edge between nodes ui and vi with distance disi. Note that there may be multiple edges between two nodes.

\n\n

Given an array queries, where queries[j] = [pj, qj, limitj], your task is to determine for each queries[j] whether there is a path between pj and qj such that each edge on the path has a distance strictly less than limitj .

\n\n

Return a boolean array answer, where answer.length == queries.length and the jth value of answer is true if there is a path for queries[j] is true, and false otherwise.

\n\n

 

\n

Example 1:

\n\"\"\n
\nInput: n = 3, edgeList = [[0,1,2],[1,2,4],[2,0,8],[1,0,16]], queries = [[0,1,2],[0,2,5]]\nOutput: [false,true]\nExplanation: The above figure shows the given graph. Note that there are two overlapping edges between 0 and 1 with distances 2 and 16.\nFor the first query, between 0 and 1 there is no path where each distance is less than 2, thus we return false for this query.\nFor the second query, there is a path (0 -> 1 -> 2) of two edges with distances less than 5, thus we return true for this query.\n
\n\n

Example 2:

\n\"\"\n
\nInput: n = 5, edgeList = [[0,1,10],[1,2,5],[2,3,9],[3,4,13]], queries = [[0,4,14],[1,4,13]]\nOutput: [true,false]\nExplanation: The above figure shows the given graph.\n
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": "检查边长度限制的路径是否存在", "translatedContent": "

给你一个 n 个点组成的无向图边集 edgeList ,其中 edgeList[i] = [ui, vi, disi] 表示点 ui 和点 vi 之间有一条长度为 disi 的边。请注意,两个点之间可能有 超过一条边 

\n\n

给你一个查询数组queries ,其中 queries[j] = [pj, qj, limitj] ,你的任务是对于每个查询 queries[j] ,判断是否存在从 pj 到 qj 的路径,且这条路径上的每一条边都 严格小于 limitj 。

\n\n

请你返回一个 布尔数组 answer ,其中 answer.length == queries.length ,当 queries[j] 的查询结果为 true 时, answer j 个值为 true ,否则为 false 。

\n\n

 

\n\n

示例 1:

\n\"\"\n
\n输入:n = 3, edgeList = [[0,1,2],[1,2,4],[2,0,8],[1,0,16]], queries = [[0,1,2],[0,2,5]]\n输出:[false,true]\n解释:上图为给定的输入数据。注意到 0 和 1 之间有两条重边,分别为 2 和 16 。\n对于第一个查询,0 和 1 之间没有小于 2 的边,所以我们返回 false 。\n对于第二个查询,有一条路径(0 -> 1 -> 2)两条边都小于 5 ,所以这个查询我们返回 true 。\n
\n\n

示例 2:

\n\"\"\n
\n输入:n = 5, edgeList = [[0,1,10],[1,2,5],[2,3,9],[3,4,13]], queries = [[0,4,14],[1,4,13]]\n输出:[true,false]\n解释:上图为给定数据。\n
\n\n

 

\n\n

提示:

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"__typename": "TopicTagNode" }, { "name": "Two Pointers", "slug": "two-pointers", "translatedName": "双指针", "__typename": "TopicTagNode" }, { "name": "Sorting", "slug": "sorting", "translatedName": "排序", "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class Solution {\npublic:\n vector distanceLimitedPathsExist(int n, vector>& edgeList, vector>& queries) {\n\n }\n};", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class Solution {\n public boolean[] distanceLimitedPathsExist(int n, int[][] edgeList, int[][] queries) {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class Solution(object):\n def distanceLimitedPathsExist(self, n, edgeList, queries):\n \"\"\"\n :type n: int\n :type edgeList: List[List[int]]\n :type queries: List[List[int]]\n :rtype: List[bool]\n \"\"\"", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class Solution:\n def distanceLimitedPathsExist(self, n: int, edgeList: List[List[int]], queries: List[List[int]]) -> List[bool]:", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "/**\n * Note: The returned array must be malloced, assume caller calls free().\n */\nbool* distanceLimitedPathsExist(int n, int** edgeList, int edgeListSize, int* edgeListColSize, int** queries, int queriesSize, int* queriesColSize, int* returnSize) {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class Solution {\n public bool[] DistanceLimitedPathsExist(int n, int[][] edgeList, int[][] queries) {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {number} n\n * @param {number[][]} edgeList\n * @param {number[][]} queries\n * @return {boolean[]}\n */\nvar distanceLimitedPathsExist = function(n, edgeList, queries) {\n\n};", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "function distanceLimitedPathsExist(n: number, edgeList: number[][], queries: number[][]): boolean[] {\n \n};", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class Solution {\n\n /**\n * @param Integer $n\n * @param Integer[][] $edgeList\n * @param Integer[][] $queries\n * @return Boolean[]\n */\n function distanceLimitedPathsExist($n, $edgeList, $queries) {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "class Solution {\n func distanceLimitedPathsExist(_ n: Int, _ edgeList: [[Int]], _ queries: [[Int]]) -> [Bool] {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class Solution {\n fun distanceLimitedPathsExist(n: Int, edgeList: Array, queries: Array): BooleanArray {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Dart", "langSlug": "dart", "code": "class Solution {\n List distanceLimitedPathsExist(int n, List> edgeList, List> queries) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "func distanceLimitedPathsExist(n int, edgeList [][]int, queries [][]int) []bool {\n\n}", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# @param {Integer} n\n# @param {Integer[][]} edge_list\n# @param {Integer[][]} queries\n# @return {Boolean[]}\ndef distance_limited_paths_exist(n, edge_list, queries)\n\nend", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "object Solution {\n def distanceLimitedPathsExist(n: Int, edgeList: Array[Array[Int]], queries: Array[Array[Int]]): Array[Boolean] = {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "impl Solution {\n pub fn distance_limited_paths_exist(n: i32, edge_list: Vec>, queries: Vec>) -> Vec {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Racket", "langSlug": "racket", "code": "(define/contract (distance-limited-paths-exist n edgeList queries)\n (-> exact-integer? (listof (listof exact-integer?)) (listof (listof exact-integer?)) (listof boolean?))\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec distance_limited_paths_exist(N :: integer(), EdgeList :: [[integer()]], Queries :: [[integer()]]) -> [boolean()].\ndistance_limited_paths_exist(N, EdgeList, Queries) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec distance_limited_paths_exist(n :: integer, edge_list :: [[integer]], queries :: [[integer]]) :: [boolean]\n def distance_limited_paths_exist(n, edge_list, queries) do\n \n end\nend", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"15.2K\", \"totalSubmission\": \"23.6K\", \"totalAcceptedRaw\": 15247, \"totalSubmissionRaw\": 23562, \"acRate\": \"64.7%\"}", "hints": [ "All the queries are given in advance. Is there a way you can reorder the queries to avoid repeated computations?" ], "solution": null, "status": null, "sampleTestCase": "3\n[[0,1,2],[1,2,4],[2,0,8],[1,0,16]]\n[[0,1,2],[0,2,5]]", "metaData": "{\n \"name\": \"distanceLimitedPathsExist\",\n \"params\": [\n {\n \"name\": \"n\",\n \"type\": \"integer\"\n },\n {\n \"type\": \"integer[][]\",\n \"name\": \"edgeList\"\n },\n {\n \"type\": \"integer[][]\",\n \"name\": \"queries\"\n }\n ],\n \"return\": {\n \"type\": \"boolean[]\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "envInfo": "{\"cpp\":[\"C++\",\"

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