leetcode-problemset/leetcode-cn/originData/find-the-most-common-response.json

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        "question": {
            "questionId": "3707",
            "questionFrontendId": "3527",
            "categoryTitle": "Algorithms",
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            "title": "Find the Most Common Response",
            "titleSlug": "find-the-most-common-response",
            "content": "<p>You are given a 2D string array <code>responses</code> where each <code>responses[i]</code> is an array of strings representing survey responses from the <code>i<sup>th</sup></code> day.</p>\n\n<p>Return the <strong>most common</strong> response across all days after removing <strong>duplicate</strong> responses within each <code>responses[i]</code>. If there is a tie, return the <em><span data-keyword=\"lexicographically-smaller-string\">lexicographically smallest</span></em> response.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong> <span class=\"example-io\">responses = [[&quot;good&quot;,&quot;ok&quot;,&quot;good&quot;,&quot;ok&quot;],[&quot;ok&quot;,&quot;bad&quot;,&quot;good&quot;,&quot;ok&quot;,&quot;ok&quot;],[&quot;good&quot;],[&quot;bad&quot;]]</span></p>\n\n<p><strong>Output:</strong> <span class=\"example-io\">&quot;good&quot;</span></p>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li>After removing duplicates within each list, <code>responses = [[&quot;good&quot;, &quot;ok&quot;], [&quot;ok&quot;, &quot;bad&quot;, &quot;good&quot;], [&quot;good&quot;], [&quot;bad&quot;]]</code>.</li>\n\t<li><code>&quot;good&quot;</code> appears 3 times, <code>&quot;ok&quot;</code> appears 2 times, and <code>&quot;bad&quot;</code> appears 2 times.</li>\n\t<li>Return <code>&quot;good&quot;</code> because it has the highest frequency.</li>\n</ul>\n</div>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong> <span class=\"example-io\">responses = [[&quot;good&quot;,&quot;ok&quot;,&quot;good&quot;],[&quot;ok&quot;,&quot;bad&quot;],[&quot;bad&quot;,&quot;notsure&quot;],[&quot;great&quot;,&quot;good&quot;]]</span></p>\n\n<p><strong>Output:</strong> <span class=\"example-io\">&quot;bad&quot;</span></p>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li>After removing duplicates within each list we have <code>responses = [[&quot;good&quot;, &quot;ok&quot;], [&quot;ok&quot;, &quot;bad&quot;], [&quot;bad&quot;, &quot;notsure&quot;], [&quot;great&quot;, &quot;good&quot;]]</code>.</li>\n\t<li><code>&quot;bad&quot;</code>, <code>&quot;good&quot;</code>, and <code>&quot;ok&quot;</code> each occur 2 times.</li>\n\t<li>The output is <code>&quot;bad&quot;</code> because it is the lexicographically smallest amongst the words with the highest frequency.</li>\n</ul>\n</div>\n\n<p>&nbsp;</p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 &lt;= responses.length &lt;= 1000</code></li>\n\t<li><code>1 &lt;= responses[i].length &lt;= 1000</code></li>\n\t<li><code>1 &lt;= responses[i][j].length &lt;= 10</code></li>\n\t<li><code>responses[i][j]</code> consists of only lowercase English letters</li>\n</ul>\n",
            "translatedTitle": "找到最常见的回答",
            "translatedContent": "<p>给你一个二维字符串数组 <code>responses</code>，其中每个 <code>responses[i]</code> 是一个字符串数组，表示第 <code>i</code>&nbsp;天调查的回答结果。</p>\n\n<p>请返回在对每个 <code>responses[i]</code> 中的回答&nbsp;<strong>去重</strong> 后，所有天数中&nbsp;<strong>最常见&nbsp;</strong>的回答。如果有多个回答出现频率相同，则返回&nbsp;<strong><span data-keyword=\"lexicographically-smaller-string\">字典序最小</span>&nbsp;</strong>的那个回答。</p>\n\n<p>&nbsp;</p>\n\n<p><strong class=\"example\">示例 1：</strong></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong> <span class=\"example-io\">responses = [[\"good\",\"ok\",\"good\",\"ok\"],[\"ok\",\"bad\",\"good\",\"ok\",\"ok\"],[\"good\"],[\"bad\"]]</span></p>\n\n<p><strong>输出：</strong> <span class=\"example-io\">\"good\"</span></p>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li>每个列表去重后，得到&nbsp;<code>responses = [[\"good\", \"ok\"], [\"ok\", \"bad\", \"good\"], [\"good\"], [\"bad\"]]</code>。</li>\n\t<li><code>\"good\"</code> 出现了 3 次，<code>\"ok\"</code> 出现了 2 次，<code>\"bad\"</code> 也出现了 2 次。</li>\n\t<li>返回 <code>\"good\"</code>，因为它出现的频率最高。</li>\n</ul>\n</div>\n\n<p><strong class=\"example\">示例 2：</strong></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong> <span class=\"example-io\">responses = [[\"good\",\"ok\",\"good\"],[\"ok\",\"bad\"],[\"bad\",\"notsure\"],[\"great\",\"good\"]]</span></p>\n\n<p><strong>输出：</strong> <span class=\"example-io\">\"bad\"</span></p>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li>每个列表去重后，<code>responses = [[\"good\", \"ok\"], [\"ok\", \"bad\"], [\"bad\", \"notsure\"], [\"great\", \"good\"]]</code>。</li>\n\t<li><code>\"bad\"</code>、<code>\"good\"</code> 和 <code>\"ok\"</code> 都出现了 2 次。</li>\n\t<li>返回 <code>\"bad\"</code>，因为它在这些最高频率的词中字典序最小。</li>\n</ul>\n</div>\n\n<p>&nbsp;</p>\n\n<p><strong>提示：</strong></p>\n\n<ul>\n\t<li><code>1 &lt;= responses.length &lt;= 1000</code></li>\n\t<li><code>1 &lt;= responses[i].length &lt;= 1000</code></li>\n\t<li><code>1 &lt;= responses[i][j].length &lt;= 10</code></li>\n\t<li><code>responses[i][j]</code> 仅由小写英文字母组成</li>\n</ul>\n",
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target=\\\"_blank\\\">\\u300c\\u4ed3\\u9889\\u7f16\\u7a0b\\u8bed\\u8a00\\u5f00\\u53d1\\u6307\\u5357\\u300d<\\/a><\\/p>\"]}",
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