leetcode-problemset/leetcode-cn/originData/occurrences-after-bigram.json

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        "question": {
            "questionId": "1156",
            "questionFrontendId": "1078",
            "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>&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 class=\"example\">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 class=\"example\">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(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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                "Split the string into words, then look at adjacent triples of words."
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