mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-01-25 17:50:26 +08:00
140 lines
17 KiB
JSON
140 lines
17 KiB
JSON
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"questionId": "100178",
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"questionFrontendId": "面试题 04.06",
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"categoryTitle": "LCCI",
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"boundTopicId": 46213,
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"title": "Successor LCCI",
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"content": "<p>Write an algorithm to find the "next" node (i.e., in-order successor) of a given node in a binary search tree.</p>\r\n\r\n<p>Return <code>null</code> if there's no "next" node for the given node.</p>\r\n\r\n<p><strong>Example 1:</strong></p>\r\n\r\n<pre>\r\n<strong>Input:</strong> root = <code>[2,1,3], p = 1\r\n\r\n 2\r\n / \\\r\n1 3\r\n</code>\r\n<strong>Output:</strong> 2</pre>\r\n\r\n<p><strong>Example 2:</strong></p>\r\n\r\n<pre>\r\n<strong>Input:</strong> root = <code>[5,3,6,2,4,null,null,1], p = 6\r\n\r\n 5\r\n / \\\r\n 3 6\r\n / \\\r\n 2 4\r\n / \r\n1\r\n</code>\r\n<strong>Output:</strong> null</pre>\r\n",
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"translatedTitle": "后继者",
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"translatedContent": "<p>设计一个算法,找出二叉搜索树中指定节点的“下一个”节点(也即中序后继)。</p>\n\n<p>如果指定节点没有对应的“下一个”节点,则返回<code>null</code>。</p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre><strong>输入:</strong> root = <code>[2,1,3], p = 1\n\n 2\n / \\\n1 3\n</code>\n<strong>输出:</strong> 2</pre>\n\n<p><strong>示例 2:</strong></p>\n\n<pre><strong>输入:</strong> root = <code>[5,3,6,2,4,null,null,1], p = 6\n\n 5\n / \\\n 3 6\n / \\\n 2 4\n / \n1\n</code>\n<strong>输出:</strong> null</pre>\n",
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"difficulty": "Medium",
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"likes": 231,
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"similarQuestions": "[]",
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"langToValidPlayground": "{\"cpp\": true, \"java\": true, \"python\": true, \"python3\": true, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false}",
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"topicTags": [
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{
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"name": "Tree",
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"slug": "tree",
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"translatedName": "树",
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"__typename": "TopicTagNode"
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},
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{
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"name": "Depth-First Search",
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"slug": "depth-first-search",
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"translatedName": "深度优先搜索",
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"__typename": "TopicTagNode"
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},
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{
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"name": "Binary Search Tree",
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"slug": "binary-search-tree",
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"translatedName": "二叉搜索树",
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"__typename": "TopicTagNode"
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},
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{
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"name": "Binary Tree",
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"slug": "binary-tree",
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"translatedName": "二叉树",
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"code": "/**\n * Definition for a binary tree node.\n * struct TreeNode {\n * int val;\n * TreeNode *left;\n * TreeNode *right;\n * TreeNode(int x) : val(x), left(NULL), right(NULL) {}\n * };\n */\nclass Solution {\npublic:\n TreeNode* inorderSuccessor(TreeNode* root, TreeNode* p) {\n\n }\n};",
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"code": "# Definition for a binary tree node.\n# class TreeNode(object):\n# def __init__(self, x):\n# self.val = x\n# self.left = None\n# self.right = None\n\nclass Solution(object):\n def inorderSuccessor(self, root, p):\n \"\"\"\n :type root: TreeNode\n :type p: TreeNode\n :rtype: TreeNode\n \"\"\"",
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"code": "# Definition for a binary tree node.\n# class TreeNode:\n# def __init__(self, x):\n# self.val = x\n# self.left = None\n# self.right = None\n\nclass Solution:\n def inorderSuccessor(self, root: TreeNode, p: TreeNode) -> TreeNode:",
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"code": "/**\n * Definition for a binary tree node.\n * struct TreeNode {\n * int val;\n * struct TreeNode *left;\n * struct TreeNode *right;\n * };\n */\n\n\nstruct TreeNode* inorderSuccessor(struct TreeNode* root, struct TreeNode* p){\n\n}\n",
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"code": "/**\n * Definition for a binary tree node.\n * type TreeNode struct {\n * Val int\n * Left *TreeNode\n * Right *TreeNode\n * }\n */\nfunc inorderSuccessor(root *TreeNode, p *TreeNode) *TreeNode {\n\n}",
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"想想中序遍历是如何工作的,并尝试对其进行“逆向工程”。",
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"这只是逻辑方法中的一步:一个特定节点的后继节点是右子树的最左节点。如果没有右子树呢?"
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