{ "data": { "question": { "questionId": "133", "questionFrontendId": "133", "categoryTitle": "Algorithms", "boundTopicId": 1206, "title": "Clone Graph", "titleSlug": "clone-graph", "content": "

Given a reference of a node in a connected undirected graph.

\n\n

Return a deep copy (clone) of the graph.

\n\n

Each node in the graph contains a value (int) and a list (List[Node]) of its neighbors.

\n\n
\nclass Node {\n    public int val;\n    public List<Node> neighbors;\n}\n
\n\n

 

\n\n

Test case format:

\n\n

For simplicity, each node's value is the same as the node's index (1-indexed). For example, the first node with val == 1, the second node with val == 2, and so on. The graph is represented in the test case using an adjacency list.

\n\n

An adjacency list is a collection of unordered lists used to represent a finite graph. Each list describes the set of neighbors of a node in the graph.

\n\n

The given node will always be the first node with val = 1. You must return the copy of the given node as a reference to the cloned graph.

\n\n

 

\n

Example 1:

\n\"\"\n
\nInput: adjList = [[2,4],[1,3],[2,4],[1,3]]\nOutput: [[2,4],[1,3],[2,4],[1,3]]\nExplanation: There are 4 nodes in the graph.\n1st node (val = 1)'s neighbors are 2nd node (val = 2) and 4th node (val = 4).\n2nd node (val = 2)'s neighbors are 1st node (val = 1) and 3rd node (val = 3).\n3rd node (val = 3)'s neighbors are 2nd node (val = 2) and 4th node (val = 4).\n4th node (val = 4)'s neighbors are 1st node (val = 1) and 3rd node (val = 3).\n
\n\n

Example 2:

\n\"\"\n
\nInput: adjList = [[]]\nOutput: [[]]\nExplanation: Note that the input contains one empty list. The graph consists of only one node with val = 1 and it does not have any neighbors.\n
\n\n

Example 3:

\n\n
\nInput: adjList = []\nOutput: []\nExplanation: This an empty graph, it does not have any nodes.\n
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": "克隆图", "translatedContent": "

给你无向 连通 图中一个节点的引用,请你返回该图的 深拷贝(克隆)。

\n\n

图中的每个节点都包含它的值 valint) 和其邻居的列表(list[Node])。

\n\n
class Node {\n    public int val;\n    public List<Node> neighbors;\n}
\n\n

 

\n\n

测试用例格式:

\n\n

简单起见,每个节点的值都和它的索引相同。例如,第一个节点值为 1(val = 1),第二个节点值为 2(val = 2),以此类推。该图在测试用例中使用邻接列表表示。

\n\n

邻接列表 是用于表示有限图的无序列表的集合。每个列表都描述了图中节点的邻居集。

\n\n

给定节点将始终是图中的第一个节点(值为 1)。你必须将 给定节点的拷贝 作为对克隆图的引用返回。

\n\n

 

\n\n

示例 1:

\n\n

\"\"

\n\n
输入:adjList = [[2,4],[1,3],[2,4],[1,3]]\n输出:[[2,4],[1,3],[2,4],[1,3]]\n解释:\n图中有 4 个节点。\n节点 1 的值是 1,它有两个邻居:节点 2 和 4 。\n节点 2 的值是 2,它有两个邻居:节点 1 和 3 。\n节点 3 的值是 3,它有两个邻居:节点 2 和 4 。\n节点 4 的值是 4,它有两个邻居:节点 1 和 3 。\n
\n\n

示例 2:

\n\n

\"\"

\n\n
输入:adjList = [[]]\n输出:[[]]\n解释:输入包含一个空列表。该图仅仅只有一个值为 1 的节点,它没有任何邻居。\n
\n\n

示例 3:

\n\n
输入:adjList = []\n输出:[]\n解释:这个图是空的,它不含任何节点。\n
\n\n

示例 4:

\n\n

\"\"

\n\n
输入:adjList = [[2],[1]]\n输出:[[2],[1]]
\n\n

 

\n\n

提示:

\n\n
    \n\t
  1. 节点数不超过 100 。
  2. \n\t
  3. 每个节点值 Node.val 都是唯一的,1 <= Node.val <= 100
  4. \n\t
  5. 无向图是一个简单图,这意味着图中没有重复的边,也没有自环。
  6. \n\t
  7. 由于图是无向的,如果节点 p 是节点 q 的邻居,那么节点 q 也必须是节点 p 的邻居。
  8. \n\t
  9. 图是连通图,你可以从给定节点访问到所有节点。
  10. \n
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[] : neighbors)\n * }\n * }\n */\n\nfunction cloneGraph(node: Node | null): Node | null {\n\t\n};", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "/**\n * Definition for a Node.\n * class Node {\n * public $val = null;\n * public $neighbors = null;\n * function __construct($val = 0) {\n * $this->val = $val;\n * $this->neighbors = array();\n * }\n * }\n */\n\nclass Solution {\n /**\n * @param Node $node\n * @return Node\n */\n function cloneGraph($node) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "/**\n * Definition for a Node.\n * public class Node {\n * public var val: Int\n * public var neighbors: [Node?]\n * public init(_ val: Int) {\n * self.val = val\n * self.neighbors = []\n * }\n * }\n */\n\nclass Solution {\n func cloneGraph(_ node: Node?) -> Node? {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "/**\n * Definition for a Node.\n * class Node(var `val`: Int) {\n * var neighbors: ArrayList = ArrayList()\n * }\n */\n\nclass Solution {\n fun cloneGraph(node: Node?): Node? {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "/**\n * Definition for a Node.\n * type Node struct {\n * Val int\n * Neighbors []*Node\n * }\n */\n\nfunc cloneGraph(node *Node) *Node {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# Definition for a Node.\n# class Node\n# attr_accessor :val, :neighbors\n# def initialize(val = 0, neighbors = nil)\n#\t\t @val = val\n#\t\t neighbors = [] if neighbors.nil?\n# @neighbors = neighbors\n# end\n# end\n\n# @param {Node} node\n# @return {Node}\ndef cloneGraph(node)\n \nend", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "/**\n * Definition for a Node.\n * class Node(var _value: Int) {\n * var value: Int = _value\n * var neighbors: List[Node] = List()\n * }\n */\n\nobject Solution {\n def cloneGraph(graph: Node): Node = {\n \n }\n}", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"129.6K\", \"totalSubmission\": \"186.2K\", \"totalAcceptedRaw\": 129641, \"totalSubmissionRaw\": 186189, \"acRate\": \"69.6%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "[[2,4],[1,3],[2,4],[1,3]]", "metaData": "{\n \"name\": \"cloneGraph\",\n \"params\": [\n {\n \"name\": \"edges\",\n \"type\": \"integer[][]\"\n }\n ],\n \"return\": {\n \"type\": \"boolean\"\n },\n \"languages\": [\n \"cpp\",\n \"java\",\n \"python\",\n \"csharp\",\n \"javascript\",\n \"python3\",\n \"golang\",\n \"swift\",\n \"kotlin\",\n \"ruby\",\n \"c\",\n \"scala\",\n \"php\",\n \"typescript\"\n ],\n \"manual\": true\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "envInfo": "{\"cpp\":[\"C++\",\"

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