mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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181 lines
17 KiB
JSON
181 lines
17 KiB
JSON
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"question": {
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"questionId": "2539",
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"questionFrontendId": "2449",
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"boundTopicId": null,
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"title": "Minimum Number of Operations to Make Arrays Similar",
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"titleSlug": "minimum-number-of-operations-to-make-arrays-similar",
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"content": "<p>You are given two positive integer arrays <code>nums</code> and <code>target</code>, of the same length.</p>\n\n<p>In one operation, you can choose any two <strong>distinct</strong> indices <code>i</code> and <code>j</code> where <code>0 <= i, j < nums.length</code> and:</p>\n\n<ul>\n\t<li>set <code>nums[i] = nums[i] + 2</code> and</li>\n\t<li>set <code>nums[j] = nums[j] - 2</code>.</li>\n</ul>\n\n<p>Two arrays are considered to be <strong>similar</strong> if the frequency of each element is the same.</p>\n\n<p>Return <em>the minimum number of operations required to make </em><code>nums</code><em> similar to </em><code>target</code>. The test cases are generated such that <code>nums</code> can always be similar to <code>target</code>.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> nums = [8,12,6], target = [2,14,10]\n<strong>Output:</strong> 2\n<strong>Explanation:</strong> It is possible to make nums similar to target in two operations:\n- Choose i = 0 and j = 2, nums = [10,12,4].\n- Choose i = 1 and j = 2, nums = [10,14,2].\nIt can be shown that 2 is the minimum number of operations needed.\n</pre>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> nums = [1,2,5], target = [4,1,3]\n<strong>Output:</strong> 1\n<strong>Explanation:</strong> We can make nums similar to target in one operation:\n- Choose i = 1 and j = 2, nums = [1,4,3].\n</pre>\n\n<p><strong class=\"example\">Example 3:</strong></p>\n\n<pre>\n<strong>Input:</strong> nums = [1,1,1,1,1], target = [1,1,1,1,1]\n<strong>Output:</strong> 0\n<strong>Explanation:</strong> The array nums is already similiar to target.\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>n == nums.length == target.length</code></li>\n\t<li><code>1 <= n <= 10<sup>5</sup></code></li>\n\t<li><code>1 <= nums[i], target[i] <= 10<sup>6</sup></code></li>\n\t<li>It is possible to make <code>nums</code> similar to <code>target</code>.</li>\n</ul>\n",
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"difficulty": "Hard",
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"exampleTestcases": "[8,12,6]\n[2,14,10]\n[1,2,5]\n[4,1,3]\n[1,1,1,1,1]\n[1,1,1,1,1]",
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"categoryTitle": "Algorithms",
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"name": "Array",
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"slug": "array",
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"name": "Greedy",
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"slug": "greedy",
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"name": "Sorting",
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"slug": "sorting",
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"lang": "C++",
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"langSlug": "cpp",
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"code": "class Solution {\npublic:\n long long makeSimilar(vector<int>& nums, vector<int>& target) {\n \n }\n};",
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"lang": "Java",
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"code": "class Solution {\n public long makeSimilar(int[] nums, int[] target) {\n \n }\n}",
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"code": "class Solution(object):\n def makeSimilar(self, nums, target):\n \"\"\"\n :type nums: List[int]\n :type target: List[int]\n :rtype: int\n \"\"\"\n ",
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"lang": "C",
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"langSlug": "c",
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"code": "\n\nlong long makeSimilar(int* nums, int numsSize, int* target, int targetSize){\n\n}",
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"lang": "C#",
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"langSlug": "csharp",
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"code": "public class Solution {\n public long MakeSimilar(int[] nums, int[] target) {\n \n }\n}",
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"lang": "JavaScript",
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"langSlug": "javascript",
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"code": "/**\n * @param {number[]} nums\n * @param {number[]} target\n * @return {number}\n */\nvar makeSimilar = function(nums, target) {\n \n};",
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"lang": "Ruby",
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"langSlug": "ruby",
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"code": "# @param {Integer[]} nums\n# @param {Integer[]} target\n# @return {Integer}\ndef make_similar(nums, target)\n \nend",
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"lang": "Swift",
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"langSlug": "swift",
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"code": "class Solution {\n func makeSimilar(_ nums: [Int], _ target: [Int]) -> Int {\n \n }\n}",
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"lang": "Go",
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"langSlug": "golang",
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"code": "func makeSimilar(nums []int, target []int) int64 {\n \n}",
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"lang": "Scala",
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"langSlug": "scala",
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"code": "object Solution {\n def makeSimilar(nums: Array[Int], target: Array[Int]): Long = {\n \n }\n}",
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"lang": "Kotlin",
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"langSlug": "kotlin",
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"code": "class Solution {\n fun makeSimilar(nums: IntArray, target: IntArray): Long {\n \n }\n}",
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"lang": "Rust",
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"langSlug": "rust",
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"code": "impl Solution {\n pub fn make_similar(nums: Vec<i32>, target: Vec<i32>) -> i64 {\n \n }\n}",
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"langSlug": "php",
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"code": "class Solution {\n\n /**\n * @param Integer[] $nums\n * @param Integer[] $target\n * @return Integer\n */\n function makeSimilar($nums, $target) {\n \n }\n}",
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"langSlug": "typescript",
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"code": "function makeSimilar(nums: number[], target: number[]): number {\n\n};",
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"code": "(define/contract (make-similar nums target)\n (-> (listof exact-integer?) (listof exact-integer?) exact-integer?)\n\n )",
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"code": "defmodule Solution do\n @spec make_similar(nums :: [integer], target :: [integer]) :: integer\n def make_similar(nums, target) do\n\n end\nend",
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"hints": [
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"Solve for even and odd numbers separately.",
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"Greedily match smallest even element from nums to smallest even element from target, then similarly next smallest element and so on.",
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"Similarly, match odd elements too."
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],
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"sampleTestCase": "[8,12,6]\n[2,14,10]",
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"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>. 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 8.2</code> using the gnu11 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. 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-10\\\" target=\\\"_blank\\\">C# 10 with .NET 6 runtime</a></p>\"], \"javascript\": [\"JavaScript\", \"<p><code>Node.js 16.13.2</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 <a href=\\\"https://github.com/datastructures-js/priority-queue\\\" target=\\\"_blank\\\">datastructures-js/priority-queue</a> and <a href=\\\"https://github.com/datastructures-js/queue\\\" target=\\\"_blank\\\">datastructures-js/queu
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