{ "data": { "question": { "questionId": "3376", "questionFrontendId": "3093", "categoryTitle": "Algorithms", "boundTopicId": 2701673, "title": "Longest Common Suffix Queries", "titleSlug": "longest-common-suffix-queries", "content": "

You are given two arrays of strings wordsContainer and wordsQuery.

\n\n

For each wordsQuery[i], you need to find a string from wordsContainer that has the longest common suffix with wordsQuery[i]. If there are two or more strings in wordsContainer that share the longest common suffix, find the string that is the smallest in length. If there are two or more such strings that have the same smallest length, find the one that occurred earlier in wordsContainer.

\n\n

Return an array of integers ans, where ans[i] is the index of the string in wordsContainer that has the longest common suffix with wordsQuery[i].

\n\n

 

\n

Example 1:

\n\n
\n

Input: wordsContainer = ["abcd","bcd","xbcd"], wordsQuery = ["cd","bcd","xyz"]

\n\n

Output: [1,1,1]

\n\n

Explanation:

\n\n

Let's look at each wordsQuery[i] separately:

\n\n\n
\n\n

Example 2:

\n\n
\n

Input: wordsContainer = ["abcdefgh","poiuygh","ghghgh"], wordsQuery = ["gh","acbfgh","acbfegh"]

\n\n

Output: [2,0,2]

\n\n

Explanation:

\n\n

Let's look at each wordsQuery[i] separately:

\n\n\n
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": "最长公共后缀查询", "translatedContent": "

给你两个字符串数组 wordsContainer 和 wordsQuery 。

\n\n

对于每个 wordsQuery[i] ,你需要从 wordsContainer 中找到一个与 wordsQuery[i] 有 最长公共后缀 的字符串。如果 wordsContainer 中有两个或者更多字符串有最长公共后缀,那么答案为长度 最短 的。如果有超过两个字符串有 相同 最短长度,那么答案为它们在 wordsContainer 中出现 更早 的一个。

\n\n

请你返回一个整数数组 ans ,其中 ans[i] wordsContainer中与 wordsQuery[i] 有 最长公共后缀 字符串的下标。

\n\n

 

\n\n

示例 1:

\n\n
\n

输入:wordsContainer = [\"abcd\",\"bcd\",\"xbcd\"], wordsQuery = [\"cd\",\"bcd\",\"xyz\"]

\n\n

输出:[1,1,1]

\n\n

解释:

\n\n

我们分别来看每一个 wordsQuery[i] :

\n\n\n
\n\n

示例 2:

\n\n
\n

输入:wordsContainer = [\"abcdefgh\",\"poiuygh\",\"ghghgh\"], wordsQuery = [\"gh\",\"acbfgh\",\"acbfegh\"]

\n\n

输出:[2,0,2]

\n\n

解释:

\n\n

我们分别来看每一个 wordsQuery[i] :

\n\n\n
\n\n

 

\n\n

提示:

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