mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-01-11 02:58:13 +08:00
188 lines
28 KiB
JSON
188 lines
28 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1093",
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"questionFrontendId": "1028",
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"categoryTitle": "Algorithms",
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"boundTopicId": 3649,
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"title": "Recover a Tree From Preorder Traversal",
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"titleSlug": "recover-a-tree-from-preorder-traversal",
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"content": "<p>We run a preorder depth-first search (DFS) on the <code>root</code> of a binary tree.</p>\n\n<p>At each node in this traversal, we output <code>D</code> dashes (where <code>D</code> is the depth of this node), then we output the value of this node. If the depth of a node is <code>D</code>, the depth of its immediate child is <code>D + 1</code>. The depth of the <code>root</code> node is <code>0</code>.</p>\n\n<p>If a node has only one child, that child is guaranteed to be <strong>the left child</strong>.</p>\n\n<p>Given the output <code>traversal</code> of this traversal, recover the tree and return <em>its</em> <code>root</code>.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2019/04/08/recover-a-tree-from-preorder-traversal.png\" style=\"width: 320px; height: 200px;\" />\n<pre>\n<strong>Input:</strong> traversal = "1-2--3--4-5--6--7"\n<strong>Output:</strong> [1,2,5,3,4,6,7]\n</pre>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2019/04/11/screen-shot-2019-04-10-at-114101-pm.png\" style=\"width: 256px; height: 250px;\" />\n<pre>\n<strong>Input:</strong> traversal = "1-2--3---4-5--6---7"\n<strong>Output:</strong> [1,2,5,3,null,6,null,4,null,7]\n</pre>\n\n<p><strong class=\"example\">Example 3:</strong></p>\n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2019/04/11/screen-shot-2019-04-10-at-114955-pm.png\" style=\"width: 276px; height: 250px;\" />\n<pre>\n<strong>Input:</strong> traversal = "1-401--349---90--88"\n<strong>Output:</strong> [1,401,null,349,88,90]\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li>The number of nodes in the original tree is in the range <code>[1, 1000]</code>.</li>\n\t<li><code>1 <= Node.val <= 10<sup>9</sup></code></li>\n</ul>\n",
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"translatedTitle": "从先序遍历还原二叉树",
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"translatedContent": "<p>我们从二叉树的根节点 <code>root</code> 开始进行深度优先搜索。</p>\n\n<p>在遍历中的每个节点处，我们输出 <code>D</code> 条短划线（其中 <code>D</code> 是该节点的深度），然后输出该节点的值。（<em>如果节点的深度为 <code>D</code>，则其直接子节点的深度为 <code>D + 1</code>。根节点的深度为 <code>0</code>）。</em></p>\n\n<p>如果节点只有一个子节点，那么保证该子节点为左子节点。</p>\n\n<p>给出遍历输出 <code>S</code>，还原树并返回其根节点 <code>root</code>。</p>\n\n<p> </p>\n\n<p><strong>示例 1：</strong></p>\n\n<p><strong><img alt=\"\" src=\"https://assets.leetcode-cn.com/aliyun-lc-upload/uploads/2019/04/12/recover-a-tree-from-preorder-traversal.png\" style=\"height: 200px; width: 320px;\"></strong></p>\n\n<pre><strong>输入：</strong>"1-2--3--4-5--6--7"\n<strong>输出：</strong>[1,2,5,3,4,6,7]\n</pre>\n\n<p><strong>示例 2：</strong></p>\n\n<p><strong><img alt=\"\" src=\"https://assets.leetcode-cn.com/aliyun-lc-upload/uploads/2019/04/12/screen-shot-2019-04-10-at-114101-pm.png\" style=\"height: 250px; width: 256px;\"></strong></p>\n\n<pre><strong>输入：</strong>"1-2--3---4-5--6---7"\n<strong>输出：</strong>[1,2,5,3,null,6,null,4,null,7]\n</pre>\n\n<p><strong>示例 3：</strong></p>\n\n<p><img alt=\"\" src=\"https://assets.leetcode-cn.com/aliyun-lc-upload/uploads/2019/04/12/screen-shot-2019-04-10-at-114955-pm.png\" style=\"height: 250px; width: 276px;\"></p>\n\n<pre><strong>输入：</strong>"1-401--349---90--88"\n<strong>输出：</strong>[1,401,null,349,88,90]\n</pre>\n\n<p> </p>\n\n<p><strong>提示：</strong></p>\n\n<ul>\n\t<li>原始树中的节点数介于 <code>1</code> 和 <code>1000</code> 之间。</li>\n\t<li>每个节点的值介于 <code>1</code> 和 <code>10 ^ 9</code> 之间。</li>\n</ul>\n",
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"name": "Depth-First Search",
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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() : val(0), left(nullptr), right(nullptr) {}\n * TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}\n * TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}\n * };\n */\nclass Solution {\npublic:\n TreeNode* recoverFromPreorder(string traversal) {\n\n }\n};",
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"code": "/**\n * Definition for a binary tree node.\n * public class TreeNode {\n * int val;\n * TreeNode left;\n * TreeNode right;\n * TreeNode() {}\n * TreeNode(int val) { this.val = val; }\n * TreeNode(int val, TreeNode left, TreeNode right) {\n * this.val = val;\n * this.left = left;\n * this.right = right;\n * }\n * }\n */\nclass Solution {\n public TreeNode recoverFromPreorder(String traversal) {\n\n }\n}",
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"__typename": "CodeSnippetNode"
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"lang": "Python",
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"code": "# Definition for a binary tree node.\n# class TreeNode(object):\n# def __init__(self, val=0, left=None, right=None):\n# self.val = val\n# self.left = left\n# self.right = right\nclass Solution(object):\n def recoverFromPreorder(self, traversal):\n \"\"\"\n :type traversal: str\n :rtype: TreeNode\n \"\"\"\n ",
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"code": "# Definition for a binary tree node.\n# class TreeNode:\n# def __init__(self, val=0, left=None, right=None):\n# self.val = val\n# self.left = left\n# self.right = right\nclass Solution:\n def recoverFromPreorder(self, traversal: str) -> Optional[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 */\nstruct TreeNode* recoverFromPreorder(char* traversal) {\n \n}",
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"lang": "C#",
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"langSlug": "csharp",
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"code": "/**\n * Definition for a binary tree node.\n * public class TreeNode {\n * public int val;\n * public TreeNode left;\n * public TreeNode right;\n * public TreeNode(int val=0, TreeNode left=null, TreeNode right=null) {\n * this.val = val;\n * this.left = left;\n * this.right = right;\n * }\n * }\n */\npublic class Solution {\n public TreeNode RecoverFromPreorder(string traversal) {\n\n }\n}",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "JavaScript",
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"langSlug": "javascript",
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"code": "/**\n * Definition for a binary tree node.\n * function TreeNode(val, left, right) {\n * this.val = (val===undefined ? 0 : val)\n * this.left = (left===undefined ? null : left)\n * this.right = (right===undefined ? null : right)\n * }\n */\n/**\n * @param {string} traversal\n * @return {TreeNode}\n */\nvar recoverFromPreorder = function(traversal) {\n\n};",
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"lang": "TypeScript",
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"langSlug": "typescript",
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"code": "/**\n * Definition for a binary tree node.\n * class TreeNode {\n * val: number\n * left: TreeNode | null\n * right: TreeNode | null\n * constructor(val?: number, left?: TreeNode | null, right?: TreeNode | null) {\n * this.val = (val===undefined ? 0 : val)\n * this.left = (left===undefined ? null : left)\n * this.right = (right===undefined ? null : right)\n * }\n * }\n */\n\nfunction recoverFromPreorder(traversal: string): TreeNode | null {\n \n};",
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{
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"lang": "PHP",
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"langSlug": "php",
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"code": "/**\n * Definition for a binary tree node.\n * class TreeNode {\n * public $val = null;\n * public $left = null;\n * public $right = null;\n * function __construct($val = 0, $left = null, $right = null) {\n * $this->val = $val;\n * $this->left = $left;\n * $this->right = $right;\n * }\n * }\n */\nclass Solution {\n\n /**\n * @param String $traversal\n * @return TreeNode\n */\n function recoverFromPreorder($traversal) {\n\n }\n}",
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"__typename": "CodeSnippetNode"
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"lang": "Swift",
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"langSlug": "swift",
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"code": "/**\n * Definition for a binary tree node.\n * public class TreeNode {\n * public var val: Int\n * public var left: TreeNode?\n * public var right: TreeNode?\n * public init() { self.val = 0; self.left = nil; self.right = nil; }\n * public init(_ val: Int) { self.val = val; self.left = nil; self.right = nil; }\n * public init(_ val: Int, _ left: TreeNode?, _ right: TreeNode?) {\n * self.val = val\n * self.left = left\n * self.right = right\n * }\n * }\n */\nclass Solution {\n func recoverFromPreorder(_ traversal: String) -> TreeNode? {\n\n }\n}",
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{
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"lang": "Kotlin",
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"langSlug": "kotlin",
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"code": "/**\n * Example:\n * var ti = TreeNode(5)\n * var v = ti.`val`\n * Definition for a binary tree node.\n * class TreeNode(var `val`: Int) {\n * var left: TreeNode? = null\n * var right: TreeNode? = null\n * }\n */\nclass Solution {\n fun recoverFromPreorder(traversal: String): TreeNode? {\n\n }\n}",
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"__typename": "CodeSnippetNode"
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{
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"lang": "Dart",
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"langSlug": "dart",
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"code": "/**\n * Definition for a binary tree node.\n * class TreeNode {\n * int val;\n * TreeNode? left;\n * TreeNode? right;\n * TreeNode([this.val = 0, this.left, this.right]);\n * }\n */\nclass Solution {\n TreeNode? recoverFromPreorder(String traversal) {\n \n }\n}",
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{
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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 recoverFromPreorder(traversal string) *TreeNode {\n\n}",
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"code": "# Definition for a binary tree node.\n# class TreeNode\n# attr_accessor :val, :left, :right\n# def initialize(val = 0, left = nil, right = nil)\n# @val = val\n# @left = left\n# @right = right\n# end\n# end\n# @param {String} traversal\n# @return {TreeNode}\ndef recover_from_preorder(traversal)\n\nend",
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"code": "/**\n * Definition for a binary tree node.\n * class TreeNode(_value: Int = 0, _left: TreeNode = null, _right: TreeNode = null) {\n * var value: Int = _value\n * var left: TreeNode = _left\n * var right: TreeNode = _right\n * }\n */\nobject Solution {\n def recoverFromPreorder(traversal: String): TreeNode = {\n\n }\n}",
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"__typename": "CodeSnippetNode"
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},
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{
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"code": "// Definition for a binary tree node.\n// #[derive(Debug, PartialEq, Eq)]\n// pub struct TreeNode {\n// pub val: i32,\n// pub left: Option<Rc<RefCell<TreeNode>>>,\n// pub right: Option<Rc<RefCell<TreeNode>>>,\n// }\n//\n// impl TreeNode {\n// #[inline]\n// pub fn new(val: i32) -> Self {\n// TreeNode {\n// val,\n// left: None,\n// right: None\n// }\n// }\n// }\nuse std::rc::Rc;\nuse std::cell::RefCell;\nimpl Solution {\n pub fn recover_from_preorder(traversal: String) -> Option<Rc<RefCell<TreeNode>>> {\n\n }\n}",
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"__typename": "CodeSnippetNode"
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"code": "%% Definition for a binary tree node.\n%%\n%% -record(tree_node, {val = 0 :: integer(),\n%% left = null :: 'null' | #tree_node{},\n%% right = null :: 'null' | #tree_node{}}).\n\n-spec recover_from_preorder(Traversal :: unicode:unicode_binary()) -> #tree_node{} | null.\nrecover_from_preorder(Traversal) ->\n .",
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"code": "# Definition for a binary tree node.\n#\n# defmodule TreeNode do\n# @type t :: %__MODULE__{\n# val: integer,\n# left: TreeNode.t() | nil,\n# right: TreeNode.t() | nil\n# }\n# defstruct val: 0, left: nil, right: nil\n# end\n\ndefmodule Solution do\n @spec recover_from_preorder(traversal :: String.t) :: TreeNode.t | nil\n def recover_from_preorder(traversal) do\n \n end\nend",
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"Do an iterative depth first search, parsing dashes from the string to inform you how to link the nodes together."
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"sampleTestCase": "\"1-2--3--4-5--6--7\"",
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