{ "data": { "question": { "questionId": "1923", "questionFrontendId": "1813", "categoryTitle": "Algorithms", "boundTopicId": 691567, "title": "Sentence Similarity III", "titleSlug": "sentence-similarity-iii", "content": "

You are given two strings sentence1 and sentence2, each representing a sentence composed of words. A sentence is a list of words that are separated by a single space with no leading or trailing spaces. Each word consists of only uppercase and lowercase English characters.

\n\n

Two sentences s1 and s2 are considered similar if it is possible to insert an arbitrary sentence (possibly empty) inside one of these sentences such that the two sentences become equal. Note that the inserted sentence must be separated from existing words by spaces.

\n\n

For example,

\n\n\n\n

Given two sentences sentence1 and sentence2, return true if sentence1 and sentence2 are similar. Otherwise, return false.

\n\n

 

\n

Example 1:

\n\n
\n

Input: sentence1 = "My name is Haley", sentence2 = "My Haley"

\n\n

Output: true

\n\n

Explanation:

\n\n

sentence2 can be turned to sentence1 by inserting "name is" between "My" and "Haley".

\n
\n\n

Example 2:

\n\n
\n

Input: sentence1 = "of", sentence2 = "A lot of words"

\n\n

Output: false

\n\n

Explanation:

\n\n

No single sentence can be inserted inside one of the sentences to make it equal to the other.

\n
\n\n

Example 3:

\n\n
\n

Input: sentence1 = "Eating right now", sentence2 = "Eating"

\n\n

Output: true

\n\n

Explanation:

\n\n

sentence2 can be turned to sentence1 by inserting "right now" at the end of the sentence.

\n
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": "句子相似性 III", "translatedContent": "

给定两个字符串 sentence1 和 sentence2,每个表示由一些单词组成的一个句子。句子是一系列由 单个 空格分隔的 单词,且开头和结尾没有多余空格。每个单词都只包含大写和小写英文字母。

\n\n

如果两个句子 s1 和 s2 ,可以通过往其中一个句子插入一个任意的句子(可以是空句子)而得到另一个句子,那么我们称这两个句子是 相似的 。注意,插入的句子必须与现有单词用空白隔开。 

\n\n

比方说,

\n\n\n\n

给你两个句子 sentence1 和 sentence2 ,如果 sentence1 sentence2相似 的,请你返回 true ,否则返回 false 。

\n\n

 

\n\n

示例 1:

\n\n
输入:sentence1 = \"My name is Haley\", sentence2 = \"My Haley\"
\n\n
输出:true
\n\n
解释:可以往 sentence2 中 \"My\" 和 \"Haley\" 之间插入 \"name is\" ,得到 sentence1
\n\n
 
\n\n

示例 2:

\n\n
输入:sentence1 = \"of\", sentence2 = \"A lot of words\"
\n\n
输出:false
\n\n
解释:没法往这两个句子中的一个句子只插入一个句子就得到另一个句子。
\n\n
 
\n\n

示例 3:

\n\n
输入:sentence1 = \"Eating right now\", sentence2 = \"Eating\"
\n\n
输出:true
\n\n
解释:可以往 sentence2 的结尾插入 \"right now\" 得到 sentence1
\n\n

 

\n\n

提示:

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string? boolean?)\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec are_sentences_similar(Sentence1 :: unicode:unicode_binary(), Sentence2 :: unicode:unicode_binary()) -> boolean().\nare_sentences_similar(Sentence1, Sentence2) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec are_sentences_similar(sentence1 :: String.t, sentence2 :: String.t) :: boolean\n def are_sentences_similar(sentence1, sentence2) do\n \n end\nend", "__typename": "CodeSnippetNode" }, { "lang": "Cangjie", "langSlug": "cangjie", "code": "class Solution {\n func areSentencesSimilar(sentence1: String, sentence2: String): Bool {\n\n }\n}", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"26.6K\", \"totalSubmission\": \"63.9K\", \"totalAcceptedRaw\": 26577, \"totalSubmissionRaw\": 63869, \"acRate\": \"41.6%\"}", "hints": [ "One way to look at it is to find one sentence as a concatenation of a prefix and suffix from the other sentence.", "Get the longest common prefix between them and the longest common suffix." ], "solution": null, "status": null, "sampleTestCase": "\"My name is Haley\"\n\"My Haley\"", "metaData": "{\n \"name\": \"areSentencesSimilar\",\n \"params\": [\n {\n \"name\": \"sentence1\",\n \"type\": \"string\"\n },\n {\n \"type\": \"string\",\n \"name\": \"sentence2\"\n }\n ],\n \"return\": {\n \"type\": \"boolean\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "envInfo": "{\"cpp\":[\"C++\",\"

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