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"questionId": "1156",
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"categoryTitle": "Algorithms",
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"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>"first second third"</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>"first second third"</code>.</p>\n\n<p> </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> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= text.length <= 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 <= first.length, second.length <= 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 <code>first</code> 和第二个词 <code>second</code>，考虑在某些文本 <code>text</code> 中可能以 <code>\"first second third\"</code> 形式出现的情况，其中 <code>second</code> 紧随 <code>first</code> 出现，<code>third</code> 紧随 <code>second</code> 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> </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> </p>\n\n<p><strong>提示：</strong></p>\n\n<ul>\n\t<li><code>1 <= text.length <= 1000</code></li>\n\t<li><code>text</code> 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 <= first.length, second.length <= 10</code></li>\n\t<li><code>first</code> 和 <code>second</code> 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": "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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"hints": [
"Split the string into words, then look at adjacent triples of words."
],
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"sampleTestCase": "\"alice is a good girl she is a good student\"\n\"a\"\n\"good\"",
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"exampleTestcases": "\"alice is a good girl she is a good student\"\n\"a\"\n\"good\"\n\"we will we will rock you\"\n\"we\"\n\"will\"",
"__typename": "QuestionNode"
}
}
}