leetcode-problemset/leetcode-cn/originData/er-cha-shu-de-zui-jin-gong-gong-zu-xian-lcof.json

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            "questionId": "100347",
            "questionFrontendId": "LCR 194",
            "categoryTitle": "Algorithms",
            "boundTopicId": 88799,
            "title": "寻找二叉树的最近公共祖先",
            "titleSlug": "er-cha-shu-de-zui-jin-gong-gong-zu-xian-lcof",
            "content": "<p>English description is not available for the problem. Please switch to Chinese.</p>\r\n",
            "translatedTitle": "二叉树的最近公共祖先",
            "translatedContent": "<p>给定一个二叉树, 找到该树中两个指定节点的最近公共祖先。</p>\n\n<p><a href=\"https://baike.baidu.com/item/%E6%9C%80%E8%BF%91%E5%85%AC%E5%85%B1%E7%A5%96%E5%85%88/8918834?fr=aladdin\" target=\"_blank\">百度百科</a>中最近公共祖先的定义为：&ldquo;对于有根树 T 的两个结点 p、q，最近公共祖先表示为一个结点 x，满足 x 是 p、q 的祖先且 x 的深度尽可能大（<strong>一个节点也可以是它自己的祖先</strong>）。&rdquo;</p>\n\n<p>例如，给定如下二叉树:&nbsp; root =&nbsp;[3,5,1,6,2,0,8,null,null,7,4]</p>\n\n<p><img alt=\"\" src=\"https://assets.leetcode-cn.com/aliyun-lc-upload/uploads/2018/12/15/binarytree.png\"></p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre><strong>输入:</strong> root = [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 1\n<strong>输出:</strong> 3\n<strong>解释: </strong>节点 <code>5 </code>和节点 <code>1 </code>的最近公共祖先是节点 <code>3。</code>\n</pre>\n\n<p><strong>示例&nbsp;2:</strong></p>\n\n<pre><strong>输入:</strong> root = [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 4\n<strong>输出:</strong> 5\n<strong>解释: </strong>节点 <code>5 </code>和节点 <code>4 </code>的最近公共祖先是节点 <code>5。</code>因为根据定义最近公共祖先节点可以为节点本身。\n</pre>\n\n<p>&nbsp;</p>\n\n<p><strong>说明:</strong></p>\n\n<ul>\n\t<li>所有节点的值都是唯一的。</li>\n\t<li>p、q 为不同节点且均存在于给定的二叉树中。</li>\n</ul>\n\n<p>注意：本题与主站 236 题相同：<a href=\"https://leetcode-cn.com/problems/lowest-common-ancestor-of-a-binary-tree/\">https://leetcode-cn.com/problems/lowest-common-ancestor-of-a-binary-tree/</a></p>\n",
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                {
                    "name": "Tree",
                    "slug": "tree",
                    "translatedName": "树",
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                    "name": "Depth-First Search",
                    "slug": "depth-first-search",
                    "translatedName": "深度优先搜索",
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