leetcode-problemset/leetcode-cn/originData/maximum-subgraph-score-in-a-tree.json

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        "question": {
            "questionId": "4151",
            "questionFrontendId": "3772",
            "categoryTitle": "Algorithms",
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            "title": "Maximum Subgraph Score in a Tree",
            "titleSlug": "maximum-subgraph-score-in-a-tree",
            "content": "<p>You are given an <strong>undirected tree</strong> with <code>n</code> nodes, numbered from 0 to <code>n - 1</code>. It is represented by a 2D integer array <code>edges</code>​​​​​​​ of length <code>n - 1</code>, where <code>edges[i] = [a<sub>i</sub>, b<sub>i</sub>]</code> indicates that there is an edge between nodes <code>a<sub>i</sub></code> and <code>b<sub>i</sub></code> in the tree.</p>\n\n<p>You are also given an integer array <code>good</code> of length <code>n</code>, where <code>good[i]</code> is 1 if the <code>i<sup>th</sup></code> node is good, and 0 if it is bad.</p>\n\n<p>Define the <strong>score</strong> of a <strong>subgraph</strong> as the number of good nodes minus the number of bad nodes in that subgraph.</p>\n\n<p>For each node <code>i</code>, find the <strong>maximum</strong> possible score among all <strong>connected subgraphs</strong> that contain node <code>i</code>.</p>\n\n<p>Return an array of <code>n</code> integers where the <code>i<sup>th</sup></code> element is the <strong>maximum</strong> score for node <code>i</code>.</p>\n\n<p>A <strong>subgraph</strong> is a graph whose vertices and edges are subsets of the original graph.</p>\n\n<p>A <strong>connected subgraph</strong> is a subgraph in which every pair of its vertices is reachable from one another using only its edges.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<p><img alt=\"Tree Example 1\" src=\"https://assets.leetcode.com/uploads/2025/11/17/tree1fixed.png\" style=\"width: 271px; height: 51px;\" /></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong> <span class=\"example-io\">n = 3, edges = [[0,1],[1,2]], good = [1,0,1]</span></p>\n\n<p><strong>Output:</strong> <span class=\"example-io\">[1,1,1]</span></p>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li>Green nodes are good and red nodes are bad.</li>\n\t<li>For each node, the best connected subgraph containing it is the whole tree, which has 2 good nodes and 1 bad node, resulting in a score of 1.</li>\n\t<li>Other connected subgraphs containing a node may have the same score.</li>\n</ul>\n</div>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<p><img alt=\"Tree Example 2\" src=\"https://assets.leetcode.com/uploads/2025/11/17/tree2.png\" style=\"width: 211px; height: 231px;\" /></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong> <span class=\"example-io\">n = 5, edges = [[1,0],[1,2],[1,3],[3,4]], good = [0,1,0,1,1]</span></p>\n\n<p><strong>Output:</strong> <span class=\"example-io\">[2,3,2,3,3]</span></p>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li>Node 0: The best connected subgraph consists of nodes <code>0, 1, 3, 4</code>, which has 3 good nodes and 1 bad node, resulting in a score of <code>3 - 1 = 2</code>.</li>\n\t<li>Nodes 1, 3, and 4: The best connected subgraph consists of nodes <code>1, 3, 4</code>, which has 3 good nodes, resulting in a score of 3.</li>\n\t<li>Node 2: The best connected subgraph consists of nodes <code>1, 2, 3, 4</code>, which has 3 good nodes and 1 bad node, resulting in a score of <code>3 - 1 = 2</code>.</li>\n</ul>\n</div>\n\n<p><strong class=\"example\">Example 3:</strong></p>\n\n<p><img alt=\"Tree Example 3\" src=\"https://assets.leetcode.com/uploads/2025/11/17/tree3.png\" style=\"width: 161px; height: 51px;\" /></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong> <span class=\"example-io\">n = 2, edges = [[0,1]], good = [0,0]</span></p>\n\n<p><strong>Output:</strong> <span class=\"example-io\">[-1,-1]</span></p>\n\n<p><strong>Explanation:</strong></p>\n\n<p>For each node, including the other node only adds another bad node, so the best score for both nodes is -1.</p>\n</div>\n\n<p>&nbsp;</p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>2 &lt;= n &lt;= 10<sup>5</sup></code></li>\n\t<li><code>edges.length == n - 1</code></li>\n\t<li><code>edges[i] = [a<sub>i</sub>, b<sub>i</sub>]</code></li>\n\t<li><code>0 &lt;= a<sub>i</sub>, b<sub>i</sub> &lt; n</code></li>\n\t<li><code>good.length == n</code></li>\n\t<li><code>0 &lt;= good[i] &lt;= 1</code></li>\n\t<li>The input is generated such that <code>edges</code> represents a valid tree.</li>\n</ul>\n",
            "translatedTitle": "树中子图的最大得分",
            "translatedContent": "<p>给你一个&nbsp;<strong>无向树&nbsp;</strong>，它包含 <code>n</code> 个节点，编号从 0 到 <code>n - 1</code>。树由一个长度为 <code>n - 1</code> 的二维整数数组 <code>edges</code> 描述，其中 <code>edges[i] = [a<sub>i</sub>, b<sub>i</sub>]</code> 表示在节点 <code>a<sub>i</sub></code> 和节点 <code>b<sub>i</sub></code> 之间有一条边。</p>\n\n<p>另给你一个长度为 <code>n</code> 的整数数组 <code>good</code>，其中 <code>good[i]</code> 为 1 表示第 <code>i</code> 个节点是好节点，为 0 表示它是坏节点。</p>\n\n<p>定义&nbsp;<strong>子图&nbsp;</strong>的&nbsp;<strong>得分&nbsp;</strong>为子图中好节点的数量减去坏节点的数量。</p>\n\n<p>对于每个节点 <code>i</code>，找到包含节点 <code>i</code> 的所有&nbsp;<strong>连通子图&nbsp;</strong>中可能的最大得分。</p>\n\n<p>返回一个长度为 <code>n</code> 的整数数组，其中第 <code>i</code> 个元素是节点 <code>i</code> 的&nbsp;<strong>最大得分&nbsp;</strong>。</p>\n\n<p><strong>子图&nbsp;</strong>是原图的一个子集，其顶点和边均来自原图。</p>\n\n<p><strong>连通子图&nbsp;</strong>是一个子图，其中每一对顶点都可以通过该子图的边相互到达。</p>\n\n<p>&nbsp;</p>\n\n<p><strong class=\"example\">示例 1：</strong></p>\n\n<p><img alt=\"Tree Example 1\" src=\"https://assets.leetcode.com/uploads/2025/11/17/tree1fixed.png\" style=\"width: 271px; height: 51px;\" /></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong> <span class=\"example-io\">n = 3, edges = [[0,1],[1,2]], good = [1,0,1]</span></p>\n\n<p><strong>输出：</strong> <span class=\"example-io\">[1,1,1]</span></p>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li>绿色节点是好节点，红色节点是坏节点。</li>\n\t<li>对于每个节点，包含它的最佳连通子图是整棵树，该树有 2 个好节点和 1 个坏节点，得分为 1。</li>\n\t<li>包含某个节点的其他连通子图可能有相同的得分。</li>\n</ul>\n</div>\n\n<p><strong class=\"example\">示例 2：</strong></p>\n\n<p><img alt=\"Tree Example 2\" src=\"https://assets.leetcode.com/uploads/2025/11/17/tree2.png\" style=\"width: 211px; height: 231px;\" /></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong> <span class=\"example-io\">n = 5, edges = [[1,0],[1,2],[1,3],[3,4]], good = [0,1,0,1,1]</span></p>\n\n<p><strong>输出：</strong> <span class=\"example-io\">[2,3,2,3,3]</span></p>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li>节点 0：最佳连通子图由节点 <code>0, 1, 3, 4</code> 组成，其中有 3 个好节点和 1 个坏节点，得分为 <code>3 - 1 = 2</code>。</li>\n\t<li>节点 1、3 和 4：最佳连通子图由节点 <code>1, 3, 4</code> 组成，其中有 3 个好节点，得分为 3。</li>\n\t<li>节点 2：最佳连通子图由节点 <code>1, 2, 3, 4</code> 组成，其中有 3 个好节点和 1 个坏节点，得分为 <code>3 - 1 = 2</code>。</li>\n</ul>\n</div>\n\n<p><strong class=\"example\">示例 3：</strong></p>\n\n<p><img alt=\"Tree Example 3\" src=\"https://assets.leetcode.com/uploads/2025/11/17/tree3.png\" style=\"width: 161px; height: 51px;\" /></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong> <span class=\"example-io\">n = 2, edges = [[0,1]], good = [0,0]</span></p>\n\n<p><strong>输出：</strong> <span class=\"example-io\">[-1,-1]</span></p>\n\n<p><strong>解释：</strong></p>\n\n<p>对于每个节点，包含另一节点只会增加一个坏节点，因此每个节点的最佳得分为 -1。</p>\n</div>\n\n<p>&nbsp;</p>\n\n<p><strong>提示：</strong></p>\n\n<ul>\n\t<li><code>2 &lt;= n &lt;= 10<sup>5</sup></code></li>\n\t<li><code>edges.length == n - 1</code></li>\n\t<li><code>edges[i] = [a<sub>i</sub>, b<sub>i</sub>]</code></li>\n\t<li><code>0 &lt;= a<sub>i</sub>, b<sub>i</sub> &lt; n</code></li>\n\t<li><code>good.length == n</code></li>\n\t<li><code>0 &lt;= good[i] &lt;= 1</code></li>\n\t<li>输入保证 <code>edges</code> 表示一棵有效树。</li>\n</ul>\n",
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<code>use-after-free<\\/code> \\u9519\\u8bef\\u3002<\\/p>\\r\\n\\r\\n<p>\\u4e3a\\u4e86\\u4f7f\\u7528\\u65b9\\u4fbf\\uff0c\\u5927\\u90e8\\u5206\\u6807\\u51c6\\u5e93\\u7684\\u5934\\u6587\\u4ef6\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8\\u5bfc\\u5165\\u3002<\\/p>\\r\\n\\r\\n<p>\\u5982\\u60f3\\u4f7f\\u7528\\u54c8\\u5e0c\\u8868\\u8fd0\\u7b97, \\u60a8\\u53ef\\u4ee5\\u4f7f\\u7528 <a href=\\\"https:\\/\\/troydhanson.github.io\\/uthash\\/\\\" target=\\\"_blank\\\">uthash<\\/a>\\u3002 \\\"uthash.h\\\"\\u5df2\\u7ecf\\u9ed8\\u8ba4\\u88ab\\u5bfc\\u5165\\u3002\\u8bf7\\u770b\\u5982\\u4e0b\\u793a\\u4f8b:<\\/p>\\r\\n\\r\\n<p><b>1. \\u5f80\\u54c8\\u5e0c\\u8868\\u4e2d\\u6dfb\\u52a0\\u4e00\\u4e2a\\u5bf9\\u8c61\\uff1a<\\/b>\\r\\n<pre>\\r\\nstruct hash_entry {\\r\\n    int id;            \\/* we'll use this field as the key *\\/\\r\\n    char name[10];\\r\\n    UT_hash_handle hh; \\/* makes this structure hashable *\\/\\r\\n};\\r\\n\\r\\nstruct hash_entry *users = NULL;\\r\\n\\r\\nvoid add_user(struct hash_entry *s) {\\r\\n    HASH_ADD_INT(users, id, s);\\r\\n}\\r\\n<\\/pre>\\r\\n<\\/p>\\r\\n\\r\\n<p><b>2. \\u5728\\u54c8\\u5e0c\\u8868\\u4e2d\\u67e5\\u627e\\u4e00\\u4e2a\\u5bf9\\u8c61\\uff1a<\\/b>\\r\\n<pre>\\r\\nstruct hash_entry *find_user(int user_id) {\\r\\n    struct hash_entry *s;\\r\\n    HASH_FIND_INT(users, &user_id, s);\\r\\n    return s;\\r\\n}\\r\\n<\\/pre>\\r\\n<\\/p>\\r\\n\\r\\n<p><b>3. \\u4ece\\u54c8\\u5e0c\\u8868\\u4e2d\\u5220\\u9664\\u4e00\\u4e2a\\u5bf9\\u8c61\\uff1a<\\/b>\\r\\n<pre>\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n    HASH_DEL(users, user);  \\r\\n}\\r\\n<\\/pre>\\r\\n<\\/p>\"],\"csharp\":[\"C#\",\"<p><a href=\\\"https:\\/\\/learn.microsoft.com\\/en-us\\/dotnet\\/csharp\\/whats-new\\/csharp-13\\\" target=\\\"_blank\\\">C# 13<\\/a> \\u8fd0\\u884c\\u5728 .NET 9 \\u4e0a<\\/p>\"],\"javascript\":[\"JavaScript\",\"<p>\\u7248\\u672c\\uff1a<code>Node.js 22.14.0<\\/code><\\/p>\\r\\n\\r\\n<p>\\u60a8\\u7684\\u4ee3\\u7801\\u5728\\u6267\\u884c\\u65f6\\u5c06\\u5e26\\u4e0a <code>--harmony<\\/code> \\u6807\\u8bb0\\u6765\\u5f00\\u542f <a href=\\\"http:\\/\\/node.green\\/\\\" target=\\\"_blank\\\">\\u65b0\\u7248ES6\\u7279\\u6027<\\/a>\\u3002<\\/p>\\r\\n\\r\\n<p><a href=\\\"https:\\/\\/lodash.com\\\" target=\\\"_blank\\\">lodash.js@4.17.21<\\/a> \\u5e93\\u5df2\\u7ecf\\u9ed8\\u8ba4\\u88ab\\u5305\\u542b\\u3002<\\/p>\\r\\n\\r\\n<p> \\u60a8\\u53ef\\u4f7f\\u7528 <a href=\\\"https:\\/\\/datastructures-js.info\\/docs\\\" target=\\\"_blank\\\"> datastructures-js <\\/a>\\u5e93\\u6240\\u63d0\\u4f9b\\u7684\\u6570\\u636e\\u7ed3\\u6784\\uff0c\\u7248\\u672c\\u4fe1\\u606f\\uff1a<\\/p>\\r\\n\\r\\n<p>\\r\\n<pre>\\r\\n\\\"@datastructures-js\\/binary-search-tree\\\": \\\"5.3.3\\\"\\r\\n\\\"@datastructures-js\\/deque\\\": \\\"1.0.6\\\"\\r\\n\\\"@datastructures-js\\/graph\\\": \\\"5.3.1\\\"\\r\\n\\\"@datastructures-js\\/heap\\\": \\\"4.3.5\\\"\\r\\n\\\"@datastructures-js\\/linked-list\\\": \\\"6.1.4\\\"\\r\\n\\\"@datastructures-js\\/priority-queue\\\": \\\"6.3.4\\\"\\r\\n\\\"@datastructures-js\\/queue\\\": \\\"4.2.4\\\"\\r\\n\\\"@datastructures-js\\/set\\\": \\\"4.2.2\\\"\\r\\n\\\"@datastructures-js\\/stack\\\": \\\"3.1.5\\\"\\r\\n\\\"@datastructures-js\\/trie\\\": \\\"4.2.3\\\"\\r\\n<\\/pre>\\r\\n<\\/p>\\r\\n\\r\\n<p>\\u5bf9\\u4e8e Binary Search Tree, Trie \\u548c Graph\\uff0c\\u56e0\\u5176\\u53d8\\u91cf\\u547d\\u540d\\u4e0e\\u4e00\\u4e9b\\u9898\\u76ee\\u51b2\\u7a81\\uff0c\\u60a8\\u9700\\u8981\\u5728\\u4f7f\\u7528\\u65f6\\u624b\\u52a8\\u5bfc\\u5165\\u5b83\\u4eec\\uff0c\\u5982\\u4e0b\\u6240\\u793a\\uff1a<\\/p>\\r\\n\\r\\n<p>\\r\\n<pre>\\r\\nconst {\\r\\n  BinarySearchTree, BinarySearchTreeNode, AvlTree, AvlTreeNode,\\r\\n  Trie, TrieNode,\\r\\n  Graph, DirectedGraph,\\r\\n} = require('datastructures-js');\\r\\n<\\/pre>\\r\\n<\\/p>\"],\"ruby\":[\"Ruby\",\"<p>\\u4f7f\\u7528 <code>Ruby 3.2<\\/code> \\u6267\\u884c<\\/p>\\r\\n\\r\\n<p>\\u4e00\\u4e9b\\u5e38\\u7528\\u7684\\u6570\\u636e\\u7ed3\\u6784\\u5df2\\u5728 Algorithms \\u6a21\\u5757\\u4e2d\\u63d0\\u4f9b\\uff1ahttps:\\/\\/www.rubydoc.info\\/github\\/kanwei\\/algorithms\\/Algorithms<\\/p>\"],\"swift\":[\"Swift\",\"<p>\\u7248\\u672c\\uff1a<code>Swift 6.0<\\/code><\\/p>\\r\\n\\r\\n<p>\\u60a8\\u53ef\\u4ee5\\u4f7f\\u7528 <a href=\\\"https:\\/\\/github.com\\/apple\\/swift-algorithms\\/tree\\/1.2.0\\\" target=\\\"_blank\\\">swift-algorithms 1.2.0<\\/a>\\uff0c<a href=\\\"https:\\/\\/github.com\\/apple\\/swift-collections\\/tree\\/1.1.4\\\" target=\\\"_blank\\\">swift-collections 1.1.4<\\/a> \\u548c <a href=\\\"https:\\/\\/github.com\\/apple\\/swift-numerics\\/tree\\/1.0.2\\\" target=\\\"_blank\\\">swift-numerics 1.0.2<\\/a><\\/p>\\r\\n\\r\\n<p>\\u6211\\u4eec\\u901a\\u5e38\\u4fdd\\u8bc1\\u66f4\\u65b0\\u5230 <a href=\\\"https:\\/\\/swift.org\\/download\\/\\\" target=\\\"_blank\\\">Apple\\u653e\\u51fa\\u7684\\u6700\\u65b0\\u7248Swift<\\/a>\\u3002\\u5982\\u679c\\u60a8\\u53d1\\u73b0Swift\\u4e0d\\u662f\\u6700\\u65b0\\u7248\\u7684\\uff0c\\u8bf7\\u8054\\u7cfb\\u6211\\u4eec\\uff01\\u6211\\u4eec\\u5c06\\u5c3d\\u5feb\\u66f4\\u65b0\\u3002<\\/p>\"],\"golang\":[\"Go\",\"<p>\\u7248\\u672c\\uff1a<code>Go 1.23<\\/code><\\/p>\\r\\n\\r\\n<p>\\u652f\\u6301 <a href=\\\"https:\\/\\/pkg.go.dev\\/github.com\\/emirpasic\\/gods@v1.18.1\\\" target=\\\"_blank\\\">https:\\/\\/pkg.go.dev\\/github.com\\/emirpasic\\/gods@v1.18.1<\\/a> \\u548c <a href=\\\"https:\\/\\/pkg.go.dev\\/github.com\\/emirpasic\\/gods\\/v2@v2.0.0-alpha\\\" target=\\\"_blank\\\">https:\\/\\/pkg.go.dev\\/github.com\\/emirpasic\\/gods\\/v2@v2.0.0-alpha<\\/a> \\u7b2c\\u4e09\\u65b9\\u5e93\\u3002<\\/p>\"],\"python3\":[\"Python3\",\"<p>\\u7248\\u672c\\uff1a<code>Python 3.11<\\/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 \\u6570\\u636e\\u7ed3\\u6784\\uff0c\\u60a8\\u53ef\\u4f7f\\u7528 <a href=\\\"http:\\/\\/www.grantjenks.com\\/docs\\/sortedcontainers\\/\\\" target=\\\"_blank\\\">sortedcontainers<\\/a> \\u5e93\\u3002<\\/p>\"],\"scala\":[\"Scala\",\"<p>\\u7248\\u672c\\uff1a<code>Scala 3.3.1<\\/code><\\/p>\"],\"kotlin\":[\"Kotlin\",\"<p>\\u7248\\u672c\\uff1a<code>Kotlin 2.1.10<\\/code><\\/p>\"],\"rust\":[\"Rust\",\"<p>\\u7248\\u672c\\uff1a<code>rust 1.88.0<\\/code>\\uff0c\\u4f7f\\u7528 edition 2024\\u3002<\\/p>\\r\\n\\r\\n<p>\\u652f\\u6301 crates.io \\u7684 <a href=\\\"https:\\/\\/crates.io\\/crates\\/rand\\\" target=\\\"_blank\\\">rand<\\/a>\\u3001<a href=\\\"https:\\/\\/crates.io\\/crates\\/regex\\\" target=\\\"_blank\\\">regex<\\/a> \\u548c <a href=\\\"https:\\/\\/crates.io\\/crates\\/itertools\\\" target=\\\"_blank\\\">itertools<\\/a><\\/p>\"],\"php\":[\"PHP\",\"<p><code>PHP 8.2<\\/code>.<\\/p>\\r\\n\\r\\n<p>With bcmath module.<\\/p>\"],\"typescript\":[\"TypeScript\",\"<p>TypeScript 5.7.3<\\/p>\\r\\n\\r\\n<p>Compile Options: --alwaysStrict --strictBindCallApply --strictFunctionTypes --target ES2024<\\/p>\\r\\n\\r\\n<p><a href=\\\"https:\\/\\/lodash.com\\\" target=\\\"_blank\\\">lodash.js@4.17.21<\\/a> \\u5e93\\u5df2\\u7ecf\\u9ed8\\u8ba4\\u88ab\\u5305\\u542b\\u3002<\\/p>\\r\\n\\r\\n<p> \\u60a8\\u53ef\\u4f7f\\u7528 <a href=\\\"https:\\/\\/datastructures-js.info\\/docs\\\" target=\\\"_blank\\\"> datastructures-js <\\/a>\\u5e93\\u6240\\u63d0\\u4f9b\\u7684\\u6570\\u636e\\u7ed3\\u6784\\uff0c\\u7248\\u672c\\u4fe1\\u606f\\uff1a<\\/p>\\r\\n\\r\\n<p>\\r\\n<pre>\\r\\n\\\"@datastructures-js\\/binary-search-tree\\\": \\\"5.3.3\\\"\\r\\n\\\"@datastructures-js\\/deque\\\": \\\"1.0.6\\\"\\r\\n\\\"@datastructures-js\\/graph\\\": \\\"5.3.1\\\"\\r\\n\\\"@datastructures-js\\/heap\\\": \\\"4.3.5\\\"\\r\\n\\\"@datastructures-js\\/linked-list\\\": \\\"6.1.4\\\"\\r\\n\\\"@datastructures-js\\/priority-queue\\\": \\\"6.3.4\\\"\\r\\n\\\"@datastructures-js\\/queue\\\": \\\"4.2.4\\\"\\r\\n\\\"@datastructures-js\\/set\\\": \\\"4.2.2\\\"\\r\\n\\\"@datastructures-js\\/stack\\\": \\\"3.1.5\\\"\\r\\n\\\"@datastructures-js\\/trie\\\": \\\"4.2.3\\\"\\r\\n<\\/pre>\\r\\n<\\/p>\\r\\n\\r\\n<p>\\u5bf9\\u4e8e Binary Search Tree, Trie \\u548c Graph\\uff0c\\u56e0\\u5176\\u53d8\\u91cf\\u547d\\u540d\\u4e0e\\u4e00\\u4e9b\\u9898\\u76ee\\u51b2\\u7a81\\uff0c\\u60a8\\u9700\\u8981\\u5728\\u4f7f\\u7528\\u65f6\\u624b\\u52a8\\u5bfc\\u5165\\u5b83\\u4eec\\uff0c\\u5982\\u4e0b\\u6240\\u793a\\uff1a<\\/p>\\r\\n\\r\\n<p>\\r\\n<pre>\\r\\nimport {\\r\\n  BinarySearchTree, BinarySearchTreeNode, AvlTree, AvlTreeNode,\\r\\n  Trie, TrieNode,\\r\\n  Graph, DirectedGraph,\\r\\n} from 'datastructures-js';\\r\\n<\\/pre>\\r\\n<\\/p>\"],\"racket\":[\"Racket\",\"<p><a href=\\\"https:\\/\\/docs.racket-lang.org\\/guide\\/performance.html#%28tech._c%29\\\" target=\\\"_blank\\\">Racket CS<\\/a> v8.15<\\/p>\\r\\n\\r\\n<p>\\u4f7f\\u7528 #lang racket<\\/p>\\r\\n\\r\\n<p>\\u5df2\\u9884\\u5148 (require data\\/gvector data\\/queue data\\/order data\\/heap). \\u82e5\\u9700\\u4f7f\\u7528\\u5176\\u5b83\\u6570\\u636e\\u7ed3\\u6784\\uff0c\\u53ef\\u81ea\\u884c require\\u3002<\\/p>\"],\"erlang\":[\"Erlang\",\"Erlang\\/OTP 26\"],\"elixir\":[\"Elixir\",\"Elixir 1.17 with Erlang\\/OTP 26\"],\"dart\":[\"Dart\",\"<p>Dart 3.2\\u3002\\u60a8\\u53ef\\u4ee5\\u4f7f\\u7528 <a href=\\\"https:\\/\\/pub.dev\\/packages\\/collection\\/versions\\/1.18.0\\\" target=\\\"_blank\\\">collection<\\/a> \\u5305<\\/p>\\r\\n\\r\\n<p>\\u60a8\\u7684\\u4ee3\\u7801\\u5c06\\u4f1a\\u88ab\\u4e0d\\u7f16\\u8bd1\\u76f4\\u63a5\\u8fd0\\u884c<\\/p>\"],\"cangjie\":[\"Cangjie\",\"<p>\\u7248\\u672c\\uff1a1.0.0 LTS (cjnative)<\\/p>\\r\\n\\r\\n<p>\\u7f16\\u8bd1\\u53c2\\u6570\\uff1a<code>-O2 --disable-reflection<\\/code><\\/p>\\r\\n\\r\\n<p>\\u5feb\\u901f\\u5165\\u95e8\\u8bf7\\u67e5\\u9605<a href=\\\"https:\\/\\/leetcode.cn\\/leetbook\\/detail\\/cangjie\\/\\\" target=\\\"_blank\\\">\\u300c\\u4ed3\\u9889\\u7f16\\u7a0b\\u8bed\\u8a00\\u5f00\\u53d1\\u6307\\u5357\\u300d<\\/a><\\/p>\"]}",
            "book": null,
            "isSubscribed": false,
            "isDailyQuestion": false,
            "dailyRecordStatus": null,
            "editorType": "CKEDITOR",
            "ugcQuestionId": null,
            "style": "LEETCODE",
            "exampleTestcases": "3\n[[0,1],[1,2]]\n[1,0,1]\n5\n[[1,0],[1,2],[1,3],[3,4]]\n[0,1,0,1,1]\n2\n[[0,1]]\n[0,0]",
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}