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{
"data": {
"question": {
"questionId": "100175",
"questionFrontendId": "面试题 04.03",
"categoryTitle": "LCCI",
"boundTopicId": 46201,
"title": "List of Depth LCCI",
"titleSlug": "list-of-depth-lcci",
"content": "<p>Given a binary tree, design an algorithm which creates a linked list of all the nodes at each depth (e.g., if you have a tree with depth D, you&#39;ll have D linked lists). Return a array containing all the linked lists.</p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><strong>Example: </strong></p>\r\n\r\n<pre>\r\n<strong>Input: </strong>[1,2,3,4,5,null,7,8]\r\n\r\n 1\r\n / \\ \r\n 2 3\r\n / \\ \\ \r\n 4 5 7\r\n /\r\n 8\r\n\r\n<strong>Output: </strong>[[1],[2,3],[4,5,7],[8]]\r\n</pre>\r\n",
"translatedTitle": "特定深度节点链表",
"translatedContent": "<p>给定一棵二叉树,设计一个算法,创建含有某一深度上所有节点的链表(比如,若一棵树的深度为 <code>D</code>,则会创建出 <code>D</code> 个链表)。返回一个包含所有深度的链表的数组。</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例:</strong></p>\n\n<pre><strong>输入:</strong>[1,2,3,4,5,null,7,8]\n\n 1\n / \\ \n 2 3\n / \\ \\ \n 4 5 7\n /\n 8\n\n<strong>输出:</strong>[[1],[2,3],[4,5,7],[8]]\n</pre>\n",
"isPaidOnly": false,
"difficulty": "Medium",
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"topicTags": [
{
"name": "Tree",
"slug": "tree",
"translatedName": "树",
"__typename": "TopicTagNode"
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{
"name": "Breadth-First Search",
"slug": "breadth-first-search",
"translatedName": "广度优先搜索",
"__typename": "TopicTagNode"
},
{
"name": "Linked List",
"slug": "linked-list",
"translatedName": "链表",
"__typename": "TopicTagNode"
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{
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"translatedName": "二叉树",
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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\n# Definition for singly-linked list.\n# class ListNode(object):\n# def __init__(self, x):\n# self.val = x\n# self.next = None\n\nclass Solution(object):\n def listOfDepth(self, tree):\n \"\"\"\n :type tree: TreeNode\n :rtype: List[ListNode]\n \"\"\"",
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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(_ val: Int) {\n * self.val = val\n * self.left = nil\n * self.right = nil\n * }\n * }\n */\n/**\n * Definition for singly-linked list.\n * public class ListNode {\n * public var val: Int\n * public var next: ListNode?\n * public init(_ val: Int) {\n * self.val = val\n * self.next = nil\n * }\n * }\n */\nclass Solution {\n func listOfDepth(_ tree: TreeNode?) -> [ListNode?] {\n\n }\n}",
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"lang": "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 */\n/**\n * Example:\n * var li = ListNode(5)\n * var v = li.`val`\n * Definition for singly-linked list.\n * class ListNode(var `val`: Int) {\n * var next: ListNode? = null\n * }\n */\nclass Solution {\n fun listOfDepth(tree: TreeNode?): Array<ListNode?> {\n\n }\n}",
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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 */\n/**\n * Definition for singly-linked list.\n * class ListNode {\n * int val;\n * ListNode? next;\n * ListNode([this.val = 0, this.next]);\n * }\n */\nclass Solution {\n List<ListNode?> listOfDepth(TreeNode? tree) {\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 */\n/**\n * Definition for singly-linked list.\n * type ListNode struct {\n * Val int\n * Next *ListNode\n * }\n */\nfunc listOfDepth(tree *TreeNode) []*ListNode {\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)\n# @val = val\n# @left, @right = nil, nil\n# end\n# end\n\n# Definition for singly-linked list.\n# class ListNode\n# attr_accessor :val, :next\n# def initialize(val)\n# @val = val\n# @next = nil\n# end\n# end\n\n# @param {TreeNode} tree\n# @return {ListNode[]}\ndef list_of_depth(tree)\n\nend",
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"code": "/**\n * Definition for a binary tree node.\n * class TreeNode(var _value: Int) {\n * var value: Int = _value\n * var left: TreeNode = null\n * var right: TreeNode = null\n * }\n */\n/**\n * Definition for singly-linked list.\n * class ListNode(var _x: Int = 0) {\n * var next: ListNode = null\n * var x: Int = _x\n * }\n */\nobject Solution {\n def listOfDepth(tree: TreeNode): Array[ListNode] = {\n\n }\n}",
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"lang": "Rust",
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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// }\n// Definition for singly-linked list.\n// #[derive(PartialEq, Eq, Clone, Debug)]\n// pub struct ListNode {\n// pub val: i32,\n// pub next: Option<Box<ListNode>>\n// }\n// \n// impl ListNode {\n// #[inline]\n// fn new(val: i32) -> Self {\n// ListNode {\n// next: None,\n// val\n// }\n// }\n// }\nuse std::rc::Rc;\nuse std::cell::RefCell;\nimpl Solution {\n pub fn list_of_depth(tree: Option<Rc<RefCell<TreeNode>>>) -> Vec<Option<Box<ListNode>>> {\n\n }\n}",
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"lang": "Racket",
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"code": "; Definition for a binary tree node.\n#|\n\n; val : integer?\n; left : (or/c tree-node? #f)\n; right : (or/c tree-node? #f)\n(struct tree-node\n (val left right) #:mutable #:transparent)\n\n; constructor\n(define (make-tree-node [val 0])\n (tree-node val #f #f))\n\n|#\n\n; Definition for singly-linked list:\n#|\n\n; val : integer?\n; next : (or/c list-node? #f)\n(struct list-node\n (val next) #:mutable #:transparent)\n\n; constructor\n(define (make-list-node [val 0])\n (list-node val #f))\n\n|#\n\n(define/contract (list-of-depth tree)\n (-> (or/c tree-node? #f) (listof (or/c list-node? #f)))\n\n )",
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"lang": "Erlang",
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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%% Definition for singly-linked list.\n%%\n%% -record(list_node, {val = 0 :: integer(),\n%% next = null :: 'null' | #list_node{}}).\n\n-spec list_of_depth(Tree :: #tree_node{} | null) -> [#list_node{} | null].\nlist_of_depth(Tree) ->\n .",
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{
"lang": "Elixir",
"langSlug": "elixir",
"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\n# Definition for singly-linked list.\n#\n# defmodule ListNode do\n# @type t :: %__MODULE__{\n# val: integer,\n# next: ListNode.t() | nil\n# }\n# defstruct val: 0, next: nil\n# end\n\ndefmodule Solution do\n @spec list_of_depth(tree :: TreeNode.t | nil) :: [ListNode.t | nil]\n def list_of_depth(tree) do\n\n end\nend",
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"hints": [
"尝试修改图形搜索算法,从根开始追踪深度。",
"从层号映射到该层节点的散列表或数组也许有些用处。",
"你应该能够提出一个既包括深度优先搜索又包含广度优先搜索的算法。"
],
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href=\\\"https:\\/\\/github.com\\/emirpasic\\/gods\\/tree\\/v1.18.1\\\" target=\\\"_blank\\\">https:\\/\\/godoc.org\\/github.com\\/emirpasic\\/gods@v1.18.1<\\/a> \\u7b2c\\u4e09\\u65b9\\u5e93\\u3002<\\/p>\"],\"python3\":[\"Python3\",\"<p>\\u7248\\u672c\\uff1a<code>Python 3.10<\\/code><\\/p>\\r\\n\\r\\n<p>\\u4e3a\\u4e86\\u65b9\\u4fbf\\u8d77\\u89c1\\uff0c\\u5927\\u90e8\\u5206\\u5e38\\u7528\\u5e93\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8 \\u5bfc\\u5165\\uff0c\\u5982<a href=\\\"https:\\/\\/docs.python.org\\/3\\/library\\/array.html\\\" target=\\\"_blank\\\">array<\\/a>, <a href=\\\"https:\\/\\/docs.python.org\\/3\\/library\\/bisect.html\\\" target=\\\"_blank\\\">bisect<\\/a>, <a href=\\\"https:\\/\\/docs.python.org\\/3\\/library\\/collections.html\\\" target=\\\"_blank\\\">collections<\\/a>\\u3002 \\u5982\\u679c\\u60a8\\u9700\\u8981\\u4f7f\\u7528\\u5176\\u4ed6\\u5e93\\u51fd\\u6570\\uff0c\\u8bf7\\u81ea\\u884c\\u5bfc\\u5165\\u3002<\\/p>\\r\\n\\r\\n<p>\\u5982\\u9700\\u4f7f\\u7528 Map\\/TreeMap 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