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        "question": {
            "questionId": "1156",
            "questionFrontendId": "1078",
            "categoryTitle": "Algorithms",
            "boundTopicId": 7688,
            "title": "Occurrences After Bigram",
            "titleSlug": "occurrences-after-bigram",
            "content": "<p>Given two strings <code>first</code> and <code>second</code>, consider occurrences in some text of the form <code>&quot;first second third&quot;</code>, where <code>second</code> comes immediately after <code>first</code>, and <code>third</code> comes immediately after <code>second</code>.</p>\n\n<p>Return <em>an array of all the words</em> <code>third</code> <em>for each occurrence of</em> <code>&quot;first second third&quot;</code>.</p>\n\n<p>&nbsp;</p>\n<p><strong>Example 1:</strong></p>\n<pre><strong>Input:</strong> text = \"alice is a good girl she is a good student\", first = \"a\", second = \"good\"\n<strong>Output:</strong> [\"girl\",\"student\"]\n</pre><p><strong>Example 2:</strong></p>\n<pre><strong>Input:</strong> text = \"we will we will rock you\", first = \"we\", second = \"will\"\n<strong>Output:</strong> [\"we\",\"rock\"]\n</pre>\n<p>&nbsp;</p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 &lt;= text.length &lt;= 1000</code></li>\n\t<li><code>text</code> consists of lowercase English letters and spaces.</li>\n\t<li>All the words in <code>text</code> a separated by <strong>a single space</strong>.</li>\n\t<li><code>1 &lt;= first.length, second.length &lt;= 10</code></li>\n\t<li><code>first</code> and <code>second</code> consist of lowercase English letters.</li>\n</ul>\n",
            "translatedTitle": "Bigram 分词",
            "translatedContent": "<p>给出第一个词&nbsp;<code>first</code> 和第二个词&nbsp;<code>second</code>,考虑在某些文本&nbsp;<code>text</code>&nbsp;中可能以 <code>\"first second third\"</code> 形式出现的情况,其中&nbsp;<code>second</code>&nbsp;紧随&nbsp;<code>first</code>&nbsp;出现,<code>third</code>&nbsp;紧随&nbsp;<code>second</code>&nbsp;出现。</p>\n\n<p>对于每种这样的情况,将第三个词 \"<code>third</code>\" 添加到答案中,并返回答案。</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong>text = \"alice is a good girl she is a good student\", first = \"a\", second = \"good\"\n<strong>输出:</strong>[\"girl\",\"student\"]\n</pre>\n\n<p><strong>示例 2:</strong></p>\n\n<pre>\n<strong>输入:</strong>text = \"we will we will rock you\", first = \"we\", second = \"will\"\n<strong>输出:</strong>[\"we\",\"rock\"]\n</pre>\n\n<p>&nbsp;</p>\n\n<p><strong>提示:</strong></p>\n\n<ul>\n\t<li><code>1 &lt;= text.length &lt;= 1000</code></li>\n\t<li><code>text</code>&nbsp;由小写英文字母和空格组成</li>\n\t<li><code>text</code> 中的所有单词之间都由 <strong>单个空格字符</strong> 分隔</li>\n\t<li><code>1 &lt;= first.length, second.length &lt;= 10</code></li>\n\t<li><code>first</code> 和&nbsp;<code>second</code>&nbsp;由小写英文字母组成</li>\n</ul>\n",
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                    "code": "class Solution {\npublic:\n    vector<string> findOcurrences(string text, string first, string second) {\n\n    }\n};",
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                    "code": "class Solution {\n    public String[] findOcurrences(String text, String first, String second) {\n\n    }\n}",
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                    "code": "class Solution(object):\n    def findOcurrences(self, text, first, second):\n        \"\"\"\n        :type text: str\n        :type first: str\n        :type second: str\n        :rtype: List[str]\n        \"\"\"",
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                    "code": "\n\n/**\n * Note: The returned array must be malloced, assume caller calls free().\n */\nchar ** findOcurrences(char * text, char * first, char * second, int* returnSize){\n\n}",
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                    "code": "public class Solution {\n    public string[] FindOcurrences(string text, string first, string second) {\n\n    }\n}",
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                    "code": "/**\n * @param {string} text\n * @param {string} first\n * @param {string} second\n * @return {string[]}\n */\nvar findOcurrences = function(text, first, second) {\n\n};",
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                    "code": "# @param {String} text\n# @param {String} first\n# @param {String} second\n# @return {String[]}\ndef find_ocurrences(text, first, second)\n\nend",
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                    "code": "impl Solution {\n    pub fn find_ocurrences(text: String, first: String, second: String) -> Vec<String> {\n\n    }\n}",
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                    "code": "-spec find_ocurrences(Text :: unicode:unicode_binary(), First :: unicode:unicode_binary(), Second :: unicode:unicode_binary()) -> [unicode:unicode_binary()].\nfind_ocurrences(Text, First, Second) ->\n  .",
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            "hints": [
                "Split the string into words, then look at adjacent triples of words."
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