{ "data": { "question": { "questionId": "212", "questionFrontendId": "212", "categoryTitle": "Algorithms", "boundTopicId": 1769, "title": "Word Search II", "titleSlug": "word-search-ii", "content": "

Given an m x n board of characters and a list of strings words, return all words on the board.

\n\n

Each word must be constructed from letters of sequentially adjacent cells, where adjacent cells are horizontally or vertically neighboring. The same letter cell may not be used more than once in a word.

\n\n

 

\n

Example 1:

\n\"\"\n
\nInput: board = [["o","a","a","n"],["e","t","a","e"],["i","h","k","r"],["i","f","l","v"]], words = ["oath","pea","eat","rain"]\nOutput: ["eat","oath"]\n
\n\n

Example 2:

\n\"\"\n
\nInput: board = [["a","b"],["c","d"]], words = ["abcb"]\nOutput: []\n
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": "单词搜索 II", "translatedContent": "

给定一个 m x n 二维字符网格 board 和一个单词(字符串)列表 words, 返回所有二维网格上的单词 。

\n\n

单词必须按照字母顺序,通过 相邻的单元格 内的字母构成,其中“相邻”单元格是那些水平相邻或垂直相邻的单元格。同一个单元格内的字母在一个单词中不允许被重复使用。

\n\n

 

\n\n

示例 1:

\n\"\"\n
\n输入:board = [[\"o\",\"a\",\"a\",\"n\"],[\"e\",\"t\",\"a\",\"e\"],[\"i\",\"h\",\"k\",\"r\"],[\"i\",\"f\",\"l\",\"v\"]], words = [\"oath\",\"pea\",\"eat\",\"rain\"]\n输出:[\"eat\",\"oath\"]\n
\n\n

示例 2:

\n\"\"\n
\n输入:board = [[\"a\",\"b\"],[\"c\",\"d\"]], words = [\"abcb\"]\n输出:[]\n
\n\n

 

\n\n

提示:

\n\n\n", "isPaidOnly": false, "difficulty": "Hard", "likes": 647, "dislikes": 0, "isLiked": null, "similarQuestions": "[{\"title\": \"Word Search\", \"titleSlug\": \"word-search\", \"difficulty\": \"Medium\", \"translatedTitle\": \"\\u5355\\u8bcd\\u641c\\u7d22\"}, {\"title\": \"Unique Paths III\", \"titleSlug\": \"unique-paths-iii\", \"difficulty\": \"Hard\", \"translatedTitle\": \"\\u4e0d\\u540c\\u8def\\u5f84 III\"}]", "contributors": [], "langToValidPlayground": "{\"cpp\": false, \"java\": true, \"python\": true, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"ruby\": false, \"bash\": false, \"swift\": false, \"golang\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"kotlin\": false, \"rust\": false, \"php\": false, \"typescript\": false, \"racket\": false, \"erlang\": false, \"elixir\": false}", "topicTags": [ { "name": "Trie", "slug": "trie", "translatedName": "字典树", "__typename": "TopicTagNode" }, { "name": "Array", "slug": "array", "translatedName": "数组", "__typename": "TopicTagNode" }, { "name": "String", "slug": "string", "translatedName": "字符串", "__typename": "TopicTagNode" }, { "name": "Backtracking", "slug": "backtracking", "translatedName": "回溯", "__typename": "TopicTagNode" }, { "name": "Matrix", "slug": "matrix", "translatedName": "矩阵", "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class Solution {\npublic:\n vector findWords(vector>& board, vector& words) {\n\n }\n};", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class Solution {\n public List findWords(char[][] board, String[] words) {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class Solution(object):\n def findWords(self, board, words):\n \"\"\"\n :type board: List[List[str]]\n :type words: List[str]\n :rtype: List[str]\n \"\"\"", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class Solution:\n def findWords(self, board: List[List[str]], words: List[str]) -> List[str]:", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "\n\n/**\n * Note: The returned array must be malloced, assume caller calls free().\n */\nchar ** findWords(char** board, int boardSize, int* boardColSize, char ** words, int wordsSize, int* returnSize){\n\n}", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class Solution {\n public IList FindWords(char[][] board, string[] words) {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {character[][]} board\n * @param {string[]} words\n * @return {string[]}\n */\nvar findWords = function(board, words) {\n\n};", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# @param {Character[][]} board\n# @param {String[]} words\n# @return {String[]}\ndef find_words(board, words)\n\nend", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "class Solution {\n func findWords(_ board: [[Character]], _ words: [String]) -> [String] {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "func findWords(board [][]byte, words []string) []string {\n\n}", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "object Solution {\n def findWords(board: Array[Array[Char]], words: Array[String]): List[String] = {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class Solution {\n fun findWords(board: Array, words: Array): List {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "impl Solution {\n pub fn find_words(board: Vec>, words: Vec) -> Vec {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class Solution {\n\n /**\n * @param String[][] $board\n * @param String[] $words\n * @return String[]\n */\n function findWords($board, $words) {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "function findWords(board: string[][], words: string[]): string[] {\n\n};", "__typename": "CodeSnippetNode" }, { "lang": "Racket", "langSlug": "racket", "code": "(define/contract (find-words board words)\n (-> (listof (listof char?)) (listof string?) (listof string?))\n\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec find_words(Board :: [[char()]], Words :: [unicode:unicode_binary()]) -> [unicode:unicode_binary()].\nfind_words(Board, Words) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec find_words(board :: [[char]], words :: [String.t]) :: [String.t]\n def find_words(board, words) do\n\n end\nend", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"73.6K\", \"totalSubmission\": \"160.7K\", \"totalAcceptedRaw\": 73598, \"totalSubmissionRaw\": 160678, \"acRate\": \"45.8%\"}", "hints": [ "You would need to optimize your backtracking to pass the larger test. Could you stop backtracking earlier?", "If the current candidate does not exist in all words' prefix, you could stop backtracking immediately. What kind of data structure could answer such query efficiently? Does a hash table work? Why or why not? How about a Trie? If you would like to learn how to implement a basic trie, please work on this problem: Implement Trie (Prefix Tree) first." ], "solution": null, "status": null, "sampleTestCase": "[[\"o\",\"a\",\"a\",\"n\"],[\"e\",\"t\",\"a\",\"e\"],[\"i\",\"h\",\"k\",\"r\"],[\"i\",\"f\",\"l\",\"v\"]]\n[\"oath\",\"pea\",\"eat\",\"rain\"]", "metaData": "{\n \"name\": \"findWords\",\n \"params\": [\n {\n \"name\": \"board\",\n \"type\": \"character[][]\"\n },\n {\n \"name\": \"words\",\n \"type\": \"string[]\"\n }\n ],\n \"return\": {\n \"type\": \"list\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "envInfo": "{\"cpp\":[\"C++\",\"

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