leetcode-problemset/leetcode/originData/find-x-sum-of-all-k-long-subarrays-i.json

{
    "data": {
        "question": {
            "questionId": "3610",
            "questionFrontendId": "3318",
            "boundTopicId": null,
            "title": "Find X-Sum of All K-Long Subarrays I",
            "titleSlug": "find-x-sum-of-all-k-long-subarrays-i",
            "content": "<p>You are given an array <code>nums</code> of <code>n</code> integers and two integers <code>k</code> and <code>x</code>.</p>\n\n<p>The <strong>x-sum</strong> of an array is calculated by the following procedure:</p>\n\n<ul>\n\t<li>Count the occurrences of all elements in the array.</li>\n\t<li>Keep only the occurrences of the top <code>x</code> most frequent elements. If two elements have the same number of occurrences, the element with the <strong>bigger</strong> value is considered more frequent.</li>\n\t<li>Calculate the sum of the resulting array.</li>\n</ul>\n\n<p><strong>Note</strong> that if an array has less than <code>x</code> distinct elements, its <strong>x-sum</strong> is the sum of the array.</p>\n\n<p>Return an integer array <code>answer</code> of length <code>n - k + 1</code> where <code>answer[i]</code> is the <strong>x-sum</strong> of the <span data-keyword=\"subarray-nonempty\">subarray</span> <code>nums[i..i + k - 1]</code>.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong> <span class=\"example-io\">nums = [1,1,2,2,3,4,2,3], k = 6, x = 2</span></p>\n\n<p><strong>Output:</strong> <span class=\"example-io\">[6,10,12]</span></p>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li>For subarray <code>[1, 1, 2, 2, 3, 4]</code>, only elements 1 and 2 will be kept in the resulting array. Hence, <code>answer[0] = 1 + 1 + 2 + 2</code>.</li>\n\t<li>For subarray <code>[1, 2, 2, 3, 4, 2]</code>, only elements 2 and 4 will be kept in the resulting array. Hence, <code>answer[1] = 2 + 2 + 2 + 4</code>. Note that 4 is kept in the array since it is bigger than 3 and 1 which occur the same number of times.</li>\n\t<li>For subarray <code>[2, 2, 3, 4, 2, 3]</code>, only elements 2 and 3 are kept in the resulting array. Hence, <code>answer[2] = 2 + 2 + 2 + 3 + 3</code>.</li>\n</ul>\n</div>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong> <span class=\"example-io\">nums = [3,8,7,8,7,5], k = 2, x = 2</span></p>\n\n<p><strong>Output:</strong> <span class=\"example-io\">[11,15,15,15,12]</span></p>\n\n<p><strong>Explanation:</strong></p>\n\n<p>Since <code>k == x</code>, <code>answer[i]</code> is equal to the sum of the subarray <code>nums[i..i + k - 1]</code>.</p>\n</div>\n\n<p>&nbsp;</p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 &lt;= n == nums.length &lt;= 50</code></li>\n\t<li><code>1 &lt;= nums[i] &lt;= 50</code></li>\n\t<li><code>1 &lt;= x &lt;= k &lt;= nums.length</code></li>\n</ul>\n",
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": false,
            "difficulty": "Easy",
            "likes": 87,
            "dislikes": 43,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "[1,1,2,2,3,4,2,3]\n6\n2\n[3,8,7,8,7,5]\n2\n2",
            "categoryTitle": "Algorithms",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Array",
                    "slug": "array",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                },
                {
                    "name": "Hash Table",
                    "slug": "hash-table",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                },
                {
                    "name": "Sliding Window",
                    "slug": "sliding-window",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                },
                {
                    "name": "Heap (Priority Queue)",
                    "slug": "heap-priority-queue",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": [
                {
                    "lang": "C++",
                    "langSlug": "cpp",
                    "code": "class Solution {\npublic:\n    vector<int> findXSum(vector<int>& nums, int k, int x) {\n        \n    }\n};",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Java",
                    "langSlug": "java",
                    "code": "class Solution {\n    public int[] findXSum(int[] nums, int k, int x) {\n        \n    }\n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Python",
                    "langSlug": "python",
                    "code": "class Solution(object):\n    def findXSum(self, nums, k, x):\n        \"\"\"\n        :type nums: List[int]\n        :type k: int\n        :type x: int\n        :rtype: List[int]\n        \"\"\"\n        ",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Python3",
                    "langSlug": "python3",
                    "code": "class Solution:\n    def findXSum(self, nums: List[int], k: int, x: int) -> List[int]:\n        ",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "C",
                    "langSlug": "c",
                    "code": "/**\n * Note: The returned array must be malloced, assume caller calls free().\n */\nint* findXSum(int* nums, int numsSize, int k, int x, int* returnSize) {\n    \n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "C#",
                    "langSlug": "csharp",
                    "code": "public class Solution {\n    public int[] FindXSum(int[] nums, int k, int x) {\n        \n    }\n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "JavaScript",
                    "langSlug": "javascript",
                    "code": "/**\n * @param {number[]} nums\n * @param {number} k\n * @param {number} x\n * @return {number[]}\n */\nvar findXSum = function(nums, k, x) {\n    \n};",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "TypeScript",
                    "langSlug": "typescript",
                    "code": "function findXSum(nums: number[], k: number, x: number): number[] {\n    \n};",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "PHP",
                    "langSlug": "php",
                    "code": "class Solution {\n\n    /**\n     * @param Integer[] $nums\n     * @param Integer $k\n     * @param Integer $x\n     * @return Integer[]\n     */\n    function findXSum($nums, $k, $x) {\n        \n    }\n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Swift",
                    "langSlug": "swift",
                    "code": "class Solution {\n    func findXSum(_ nums: [Int], _ k: Int, _ x: Int) -> [Int] {\n        \n    }\n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Kotlin",
                    "langSlug": "kotlin",
                    "code": "class Solution {\n    fun findXSum(nums: IntArray, k: Int, x: Int): IntArray {\n        \n    }\n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Dart",
                    "langSlug": "dart",
                    "code": "class Solution {\n  List<int> findXSum(List<int> nums, int k, int x) {\n    \n  }\n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Go",
                    "langSlug": "golang",
                    "code": "func findXSum(nums []int, k int, x int) []int {\n    \n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Ruby",
                    "langSlug": "ruby",
                    "code": "# @param {Integer[]} nums\n# @param {Integer} k\n# @param {Integer} x\n# @return {Integer[]}\ndef find_x_sum(nums, k, x)\n    \nend",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Scala",
                    "langSlug": "scala",
                    "code": "object Solution {\n    def findXSum(nums: Array[Int], k: Int, x: Int): Array[Int] = {\n        \n    }\n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Rust",
                    "langSlug": "rust",
                    "code": "impl Solution {\n    pub fn find_x_sum(nums: Vec<i32>, k: i32, x: i32) -> Vec<i32> {\n        \n    }\n}",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Racket",
                    "langSlug": "racket",
                    "code": "(define/contract (find-x-sum nums k x)\n  (-> (listof exact-integer?) exact-integer? exact-integer? (listof exact-integer?))\n  )",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Erlang",
                    "langSlug": "erlang",
                    "code": "-spec find_x_sum(Nums :: [integer()], K :: integer(), X :: integer()) -> [integer()].\nfind_x_sum(Nums, K, X) ->\n  .",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Elixir",
                    "langSlug": "elixir",
                    "code": "defmodule Solution do\n  @spec find_x_sum(nums :: [integer], k :: integer, x :: integer) :: [integer]\n  def find_x_sum(nums, k, x) do\n    \n  end\nend",
                    "__typename": "CodeSnippetNode"
                }
            ],
            "stats": "{\"totalAccepted\": \"25.9K\", \"totalSubmission\": \"40.8K\", \"totalAcceptedRaw\": 25871, \"totalSubmissionRaw\": 40826, \"acRate\": \"63.4%\"}",
            "hints": [
                "Implement the x-sum function. Then, run x-sum on every subarray of <code>nums</code> of size <code>k</code>."
            ],
            "solution": null,
            "status": null,
            "sampleTestCase": "[1,1,2,2,3,4,2,3]\n6\n2",
            "metaData": "{\n  \"name\": \"findXSum\",\n  \"params\": [\n    {\n      \"name\": \"nums\",\n      \"type\": \"integer[]\"\n    },\n    {\n      \"type\": \"integer\",\n      \"name\": \"k\"\n    },\n    {\n      \"type\": \"integer\",\n      \"name\": \"x\"\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 17 </code> using the latest C++ 23 standard, and <code>libstdc++</code> provided by GCC 13.</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 21</code>. Using compile arguments: <code>--enable-preview --release 21</code></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>. If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\\r\\n\\r\\n<p>Note that Python 2.7 <a href=\\\"https://www.python.org/dev/peps/pep-0373/\\\" target=\\\"_blank\\\">will not be maintained past 2020</a>. For the latest Python, please choose Python3 instead.</p>\"], \"c\": [\"C\", \"<p>Compiled with <code>gcc 13</code> using the gnu11 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level one 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>\\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. Adding an item to a hash.</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. Looking up an item in a hash:</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. Deleting an item in a hash:</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-12\\\" target=\\\"_blank\\\">C# 12</a> with .NET 8 runtime</p>\"], \"javascript\": [\"JavaScript\", \"<p><code>Node.js 20.10.0</code>.</p>\\r\\n\\r\\n<p>Your code is run with <code>--harmony</code> flag, enabling <a href=\\\"http://node.green/\\\" target=\\\"_blank\\\">new ES6 features</a>.</p>\\r\\n\\r\\n<p><a href=\\\"https://lodash.com\\\" target=\\\"_blank\\\">lodash.js</a> library is included by default.</p>\\r\\n\\r\\n<p>For Priority Queue / Queue data structures, you may use 5.4.0 version of <a href=\\\"https://github.com/datastructures-js/priority-queue/blob/v5/README.md\\\" target=\\\"_blank\\\">datastructures-js/priority-queue</a> and 4.2.3 version of <a href=\\\"https://github.com/datastructures-js/queue/tree/v4.2.3\\\" target=\\\"_blank\\\">datastructures-js/queue</a> and 1.0.4 version of <a href=\\\"https://github.com/datastructures-js/deque/tree/v1.0.4\\\" target=\\\"_blank\\\">datastructures-js/deque</a>.</p>\"], \"ruby\": [\"Ruby\", \"<p><code>Ruby 3.2</code></p>\\r\\n\\r\\n<p>Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms</p>\"], \"swift\": [\"Swift\", \"<p><code>Swift 5.10</code>.</p>\\r\\n\\r\\n<p>You may use <a href=\\\"https://github.com/apple/swift-algorithms/tree/1.2.0\\\" target=\\\"_blank\\\">swift-algorithms 1.2.0</a> and <a href=\\\"https://github.com/apple/swift-collections/tree/1.1.0\\\" target=\\\"_blank\\\">swift-collections 1.1.0</a>.</p>\"], \"golang\": [\"Go\", \"<p><code>Go 1.23</code></p>\\r\\n<p>Support <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> and <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> library.</p>\"], \"python3\": [\"Python3\", \"<p><code>Python 3.11</code>.</p>\\r\\n\\r\\n<p>Most libraries are already imported automatically for your convenience, such as <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>. If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\"], \"scala\": [\"Scala\", \"<p><code>Scala 3.3.1</code>.</p>\"], \"kotlin\": [\"Kotlin\", \"<p><code>Kotlin 1.9.0</code>.</p>\\r\\n\\r\\n<p>We are using an experimental compiler provided by JetBrains.</p>\"], \"rust\": [\"Rust\", \"<p><code>Rust 1.79.0</code>. Your code will be compiled with <code>opt-level</code> 2.</p>\\r\\n\\r\\n<p>Supports <a href=\\\"https://crates.io/crates/rand\\\" target=\\\"_blank\\\">rand v0.8</a> and <a href=\\\"https://crates.io/crates/regex\\\" target=\\\"_blank\\\">regex\\u00a0v1</a> from crates.io</p>\"], \"php\": [\"PHP\", \"<p><code>PHP 8.2</code>.</p>\\r\\n<p>With bcmath module</p>\"], \"typescript\": [\"Typescript\", \"<p><code>TypeScript 5.1.6, Node.js 20.10.0</code>.</p>\\r\\n\\r\\n<p>Compile Options: <code>--alwaysStrict --strictBindCallApply --strictFunctionTypes --target ES2022</code></p>\\r\\n\\r\\n<p>Your code is run with <code>--harmony</code> flag, enabling <a href=\\\"http://node.green/\\\" target=\\\"_blank\\\">new ES2022 features</a>.</p>\\r\\n\\r\\n<p><a href=\\\"https://lodash.com\\\" target=\\\"_blank\\\">lodash.js</a> library is included by default.</p>\\r\\n\\r\\n<p>For Priority Queue / Queue data structures, you may use 5.4.0 version of <a href=\\\"https://github.com/datastructures-js/priority-queue/blob/v5/README.md\\\" target=\\\"_blank\\\">datastructures-js/priority-queue</a> and 4.2.3 version of <a href=\\\"https://github.com/datastructures-js/queue/tree/v4.2.3\\\" target=\\\"_blank\\\">datastructures-js/queue</a> and 1.0.4 version of <a href=\\\"https://github.com/datastructures-js/deque/tree/v1.0.4\\\" target=\\\"_blank\\\">datastructures-js/deque</a>.</p>\"], \"racket\": [\"Racket\", \"<p><a href=\\\"https://docs.racket-lang.org/guide/performance.html#%28tech._c%29\\\" target=\\\"_blank\\\">Racket CS</a> v8.11</p>\\r\\n\\r\\n<p>Using <code>#lang racket</code></p>\\r\\n\\r\\n<p>Required <code>data/gvector data/queue data/order data/heap</code> automatically for your convenience</p>\"], \"erlang\": [\"Erlang\", \"Erlang/OTP 26\"], \"elixir\": [\"Elixir\", \"Elixir 1.16 with Erlang/OTP 26\"], \"dart\": [\"Dart\", \"<p>Dart 3.2. You may use package <a href=\\\"https://pub.dev/packages/collection/versions/1.18.0\\\" target=\\\"_blank\\\">collection</a></p>\\r\\n\\r\\n<p>Your code will be run directly without compiling</p>\"]}",
            "libraryUrl": null,
            "adminUrl": null,
            "challengeQuestion": null,
            "__typename": "QuestionNode"
        }
    }
}