update

leetcode-cn/originData/truncate-sentence.json

@@ -12,7 +12,7 @@
             "translatedContent": "<p><strong>句子</strong> 是一个单词列表，列表中的单词之间用单个空格隔开，且不存在前导或尾随空格。每个单词仅由大小写英文字母组成（不含标点符号）。</p>\n\n<ul>\n\t<li>例如，<code>\"Hello World\"</code>、<code>\"HELLO\"</code> 和 <code>\"hello world hello world\"</code> 都是句子。</li>\n</ul>\n\n<p>给你一个句子 <code>s</code>​​​​​​ 和一个整数 <code>k</code>​​​​​​ ，请你将 <code>s</code>​​ <strong>截断</strong> ​，​​​使截断后的句子仅含 <strong>前</strong> <code>k</code>​​​​​​ 个单词。返回 <strong>截断</strong> <code>s</code>​​​​<em>​​ </em>后得到的句子<em>。</em></p>\n\n<p> </p>\n\n<p><strong>示例 1：</strong></p>\n\n<pre><strong>输入：</strong>s = \"Hello how are you Contestant\", k = 4\n<strong>输出：</strong>\"Hello how are you\"\n<strong>解释：</strong>\ns 中的单词为 [\"Hello\", \"how\" \"are\", \"you\", \"Contestant\"]\n前 4 个单词为 [\"Hello\", \"how\", \"are\", \"you\"]\n因此，应当返回 \"Hello how are you\"\n</pre>\n\n<p><strong>示例 2：</strong></p>\n\n<pre><strong>输入：</strong>s = \"What is the solution to this problem\", k = 4\n<strong>输出：</strong>\"What is the solution\"\n<strong>解释：</strong>\ns 中的单词为 [\"What\", \"is\" \"the\", \"solution\", \"to\", \"this\", \"problem\"]\n前 4 个单词为 [\"What\", \"is\", \"the\", \"solution\"]\n因此，应当返回 \"What is the solution\"</pre>\n\n<p><strong>示例 3：</strong></p>\n\n<pre><strong>输入：</strong>s = \"chopper is not a tanuki\", k = 5\n<strong>输出：</strong>\"chopper is not a tanuki\"\n</pre>\n\n<p> </p>\n\n<p><strong>提示：</strong></p>\n\n<ul>\n\t<li><code>1 &lt;= s.length &lt;= 500</code></li>\n\t<li><code>k</code> 的取值范围是 <code>[1,  s 中单词的数目]</code></li>\n\t<li><code>s</code> 仅由大小写英文字母和空格组成</li>\n\t<li><code>s</code> 中的单词之间由单个空格隔开</li>\n\t<li>不存在前导或尾随空格</li>\n</ul>\n",
             "isPaidOnly": false,
             "difficulty": "Easy",
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+            "likes": 56,
             "dislikes": 0,
             "isLiked": null,
             "similarQuestions": "[]",
@@ -143,7 +143,7 @@
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+            "stats": "{\"totalAccepted\": \"49.5K\", \"totalSubmission\": \"67.8K\", \"totalAcceptedRaw\": 49528, \"totalSubmissionRaw\": 67819, \"acRate\": \"73.0%\"}",
             "hints": [
                 "It's easier to solve this problem on an array of strings so parse the string to an array of words",
                 "After return the first k words as a sentence"