{ "data": { "question": { "questionId": "2131", "questionFrontendId": "2003", "boundTopicId": null, "title": "Smallest Missing Genetic Value in Each Subtree", "titleSlug": "smallest-missing-genetic-value-in-each-subtree", "content": "<p>There is a <strong>family tree</strong> rooted at <code>0</code> consisting of <code>n</code> nodes numbered <code>0</code> to <code>n - 1</code>. You are given a <strong>0-indexed</strong> integer array <code>parents</code>, where <code>parents[i]</code> is the parent for node <code>i</code>. Since node <code>0</code> is the <strong>root</strong>, <code>parents[0] == -1</code>.</p>\n\n<p>There are <code>10<sup>5</sup></code> genetic values, each represented by an integer in the <strong>inclusive</strong> range <code>[1, 10<sup>5</sup>]</code>. You are given a <strong>0-indexed</strong> integer array <code>nums</code>, where <code>nums[i]</code> is a <strong>distinct </strong>genetic value for node <code>i</code>.</p>\n\n<p>Return <em>an array </em><code>ans</code><em> of length </em><code>n</code><em> where </em><code>ans[i]</code><em> is</em> <em>the <strong>smallest</strong> genetic value that is <strong>missing</strong> from the subtree rooted at node</em> <code>i</code>.</p>\n\n<p>The <strong>subtree</strong> rooted at a node <code>x</code> contains node <code>x</code> and all of its <strong>descendant</strong> nodes.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2021/08/23/case-1.png\" style=\"width: 204px; height: 167px;\" />\n<pre>\n<strong>Input:</strong> parents = [-1,0,0,2], nums = [1,2,3,4]\n<strong>Output:</strong> [5,1,1,1]\n<strong>Explanation:</strong> The answer for each subtree is calculated as follows:\n- 0: The subtree contains nodes [0,1,2,3] with values [1,2,3,4]. 5 is the smallest missing value.\n- 1: The subtree contains only node 1 with value 2. 1 is the smallest missing value.\n- 2: The subtree contains nodes [2,3] with values [3,4]. 1 is the smallest missing value.\n- 3: The subtree contains only node 3 with value 4. 1 is the smallest missing value.\n</pre>\n\n<p><strong>Example 2:</strong></p>\n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2021/08/23/case-2.png\" style=\"width: 247px; height: 168px;\" />\n<pre>\n<strong>Input:</strong> parents = [-1,0,1,0,3,3], nums = [5,4,6,2,1,3]\n<strong>Output:</strong> [7,1,1,4,2,1]\n<strong>Explanation:</strong> The answer for each subtree is calculated as follows:\n- 0: The subtree contains nodes [0,1,2,3,4,5] with values [5,4,6,2,1,3]. 7 is the smallest missing value.\n- 1: The subtree contains nodes [1,2] with values [4,6]. 1 is the smallest missing value.\n- 2: The subtree contains only node 2 with value 6. 1 is the smallest missing value.\n- 3: The subtree contains nodes [3,4,5] with values [2,1,3]. 4 is the smallest missing value.\n- 4: The subtree contains only node 4 with value 1. 2 is the smallest missing value.\n- 5: The subtree contains only node 5 with value 3. 1 is the smallest missing value.\n</pre>\n\n<p><strong>Example 3:</strong></p>\n\n<pre>\n<strong>Input:</strong> parents = [-1,2,3,0,2,4,1], nums = [2,3,4,5,6,7,8]\n<strong>Output:</strong> [1,1,1,1,1,1,1]\n<strong>Explanation:</strong> The value 1 is missing from all the subtrees.\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>n == parents.length == nums.length</code></li>\n\t<li><code>2 <= n <= 10<sup>5</sup></code></li>\n\t<li><code>0 <= parents[i] <= n - 1</code> for <code>i != 0</code></li>\n\t<li><code>parents[0] == -1</code></li>\n\t<li><code>parents</code> represents a valid tree.</li>\n\t<li><code>1 <= nums[i] <= 10<sup>5</sup></code></li>\n\t<li>Each <code>nums[i]</code> is distinct.</li>\n</ul>\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Hard", "likes": 259, "dislikes": 16, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "[-1,0,0,2]\n[1,2,3,4]\n[-1,0,1,0,3,3]\n[5,4,6,2,1,3]\n[-1,2,3,0,2,4,1]\n[2,3,4,5,6,7,8]", "categoryTitle": "Algorithms", "contributors": [], "topicTags": [ { "name": "Dynamic Programming", "slug": "dynamic-programming", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Tree", "slug": "tree", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Depth-First Search", "slug": "depth-first-search", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Union Find", "slug": "union-find", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class Solution {\npublic:\n vector<int> smallestMissingValueSubtree(vector<int>& parents, vector<int>& nums) {\n \n }\n};", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class Solution {\n public int[] smallestMissingValueSubtree(int[] parents, int[] nums) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class Solution(object):\n def smallestMissingValueSubtree(self, parents, nums):\n \"\"\"\n :type parents: List[int]\n :type nums: List[int]\n :rtype: List[int]\n \"\"\"\n ", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class Solution:\n def smallestMissingValueSubtree(self, parents: List[int], nums: List[int]) -> List[int]:\n ", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "\n\n/**\n * Note: The returned array must be malloced, assume caller calls free().\n */\nint* smallestMissingValueSubtree(int* parents, int parentsSize, int* nums, int numsSize, int* returnSize){\n\n}", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class Solution {\n public int[] SmallestMissingValueSubtree(int[] parents, int[] nums) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {number[]} parents\n * @param {number[]} nums\n * @return {number[]}\n */\nvar smallestMissingValueSubtree = function(parents, nums) {\n \n};", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# @param {Integer[]} parents\n# @param {Integer[]} nums\n# @return {Integer[]}\ndef smallest_missing_value_subtree(parents, nums)\n \nend", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "class Solution {\n func smallestMissingValueSubtree(_ parents: [Int], _ nums: [Int]) -> [Int] {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "func smallestMissingValueSubtree(parents []int, nums []int) []int {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "object Solution {\n def smallestMissingValueSubtree(parents: Array[Int], nums: Array[Int]): Array[Int] = {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class Solution {\n fun smallestMissingValueSubtree(parents: IntArray, nums: IntArray): IntArray {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "impl Solution {\n pub fn smallest_missing_value_subtree(parents: Vec<i32>, nums: Vec<i32>) -> Vec<i32> {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class Solution {\n\n /**\n * @param Integer[] $parents\n * @param Integer[] $nums\n * @return Integer[]\n */\n function smallestMissingValueSubtree($parents, $nums) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "function smallestMissingValueSubtree(parents: number[], nums: number[]): number[] {\n\n};", "__typename": "CodeSnippetNode" }, { "lang": "Racket", "langSlug": "racket", "code": "(define/contract (smallest-missing-value-subtree parents nums)\n (-> (listof exact-integer?) 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(listof exact-integer?))\n\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec smallest_missing_value_subtree(Parents :: [integer()], Nums :: [integer()]) -> [integer()].\nsmallest_missing_value_subtree(Parents, Nums) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec smallest_missing_value_subtree(parents :: [integer], nums :: [integer]) :: [integer]\n def smallest_missing_value_subtree(parents, nums) do\n\n end\nend", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"4.7K\", \"totalSubmission\": \"11.1K\", \"totalAcceptedRaw\": 4681, \"totalSubmissionRaw\": 11116, \"acRate\": \"42.1%\"}", "hints": [ "If the subtree doesn't contain 1, then the missing value will always be 1.", "What data structure allows us to dynamically update the values that are currently not present?" ], "solution": null, "status": null, "sampleTestCase": "[-1,0,0,2]\n[1,2,3,4]", "metaData": "{\n \"name\": \"smallestMissingValueSubtree\",\n \"params\": [\n {\n \"name\": \"parents\",\n \"type\": \"integer[]\"\n },\n {\n \"type\": \"integer[]\",\n \"name\": \"nums\"\n }\n ],\n \"return\": {\n \"type\": \"integer[]\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "enableTestMode": false, "enableDebugger": true, "envInfo": "{\"cpp\": [\"C++\", \"<p>Compiled with <code> clang 11 </code> using the latest C++ 17 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level two optimization (<code>-O2</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\"], \"java\": [\"Java\", \"<p><code> OpenJDK 17 </code>. Java 8 features such as lambda expressions and stream API can be used. </p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n<p>Includes <code>Pair</code> class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.</p>\"], \"python\": [\"Python\", \"<p><code>Python 2.7.12</code>.</p>\\r\\n\\r\\n<p>Most libraries are already imported automatically for your convenience, such as <a href=\\\"https://docs.python.org/2/library/array.html\\\" target=\\\"_blank\\\">array</a>, <a href=\\\"https://docs.python.org/2/library/bisect.html\\\" target=\\\"_blank\\\">bisect</a>, <a href=\\\"https://docs.python.org/2/library/collections.html\\\" target=\\\"_blank\\\">collections</a>. 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For the latest Python, please choose Python3 instead.</p>\"], \"c\": [\"C\", \"<p>Compiled with <code>gcc 8.2</code> using the gnu99 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level one optimization (<code>-O1</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n\\r\\n<p>For hash table operations, you may use <a href=\\\"https://troydhanson.github.io/uthash/\\\" target=\\\"_blank\\\">uthash</a>. \\\"uthash.h\\\" is included by default. Below are some examples:</p>\\r\\n\\r\\n<p><b>1. 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