{ "data": { "question": { "questionId": "3305", "questionFrontendId": "3045", "categoryTitle": "Algorithms", "boundTopicId": 2644026, "title": "Count Prefix and Suffix Pairs II", "titleSlug": "count-prefix-and-suffix-pairs-ii", "content": "

You are given a 0-indexed string array words.

\n\n

Let's define a boolean function isPrefixAndSuffix that takes two strings, str1 and str2:

\n\n\n\n

For example, isPrefixAndSuffix("aba", "ababa") is true because "aba" is a prefix of "ababa" and also a suffix, but isPrefixAndSuffix("abc", "abcd") is false.

\n\n

Return an integer denoting the number of index pairs (i, j) such that i < j, and isPrefixAndSuffix(words[i], words[j]) is true.

\n\n

 

\n

Example 1:

\n\n
\nInput: words = ["a","aba","ababa","aa"]\nOutput: 4\nExplanation: In this example, the counted index pairs are:\ni = 0 and j = 1 because isPrefixAndSuffix("a", "aba") is true.\ni = 0 and j = 2 because isPrefixAndSuffix("a", "ababa") is true.\ni = 0 and j = 3 because isPrefixAndSuffix("a", "aa") is true.\ni = 1 and j = 2 because isPrefixAndSuffix("aba", "ababa") is true.\nTherefore, the answer is 4.
\n\n

Example 2:

\n\n
\nInput: words = ["pa","papa","ma","mama"]\nOutput: 2\nExplanation: In this example, the counted index pairs are:\ni = 0 and j = 1 because isPrefixAndSuffix("pa", "papa") is true.\ni = 2 and j = 3 because isPrefixAndSuffix("ma", "mama") is true.\nTherefore, the answer is 2.  
\n\n

Example 3:

\n\n
\nInput: words = ["abab","ab"]\nOutput: 0\nExplanation: In this example, the only valid index pair is i = 0 and j = 1, and isPrefixAndSuffix("abab", "ab") is false.\nTherefore, the answer is 0.
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": "统计前后缀下标对 II", "translatedContent": "

给你一个下标从 0 开始的字符串数组 words

\n\n

定义一个 布尔 函数 isPrefixAndSuffix ,它接受两个字符串参数 str1str2

\n\n\n\n

例如,isPrefixAndSuffix(\"aba\", \"ababa\") 返回 true,因为 \"aba\" 既是 \"ababa\" 的前缀,也是 \"ababa\" 的后缀,但是 isPrefixAndSuffix(\"abc\", \"abcd\") 返回 false

\n\n

以整数形式,返回满足 i < jisPrefixAndSuffix(words[i], words[j])true 的下标对 (i, j) 数量

\n\n

 

\n\n

示例 1:

\n\n
\n输入:words = [\"a\",\"aba\",\"ababa\",\"aa\"]\n输出:4\n解释:在本示例中,计数的下标对包括:\ni = 0 且 j = 1 ,因为 isPrefixAndSuffix(\"a\", \"aba\") 为 true 。\ni = 0 且 j = 2 ,因为 isPrefixAndSuffix(\"a\", \"ababa\") 为 true 。\ni = 0 且 j = 3 ,因为 isPrefixAndSuffix(\"a\", \"aa\") 为 true 。\ni = 1 且 j = 2 ,因为 isPrefixAndSuffix(\"aba\", \"ababa\") 为 true 。\n因此,答案是 4 。
\n\n

示例 2:

\n\n
\n输入:words = [\"pa\",\"papa\",\"ma\",\"mama\"]\n输出:2\n解释:在本示例中,计数的下标对包括:\ni = 0 且 j = 1 ,因为 isPrefixAndSuffix(\"pa\", \"papa\") 为 true 。\ni = 2 且 j = 3 ,因为 isPrefixAndSuffix(\"ma\", \"mama\") 为 true 。\n因此,答案是 2 。
\n\n

示例 3:

\n\n
\n输入:words = [\"abab\",\"ab\"]\n输出:0\n解释:在本示例中,唯一有效的下标对是 i = 0 且 j = 1 ,但是 isPrefixAndSuffix(\"abab\", \"ab\") 为 false 。\n因此,答案是 0 。
\n\n

 

\n\n

提示:

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The trie stores the pair (words[i][j], words[i][words[i].length - j - 1]) as a single character; we process all the words in this way.", "During insertion, keep a counter in each trie node, as in a normal trie. If the current node is the end of a word (namely, the pair on that node is (words[i][words[i].length - 1], words[i][0])), increase the node's counter by 1.", "From left to right, insert each word into the trie, and increase our final result by each node's counter when going down the trie during insertion. 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