mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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173 lines
18 KiB
JSON
173 lines
18 KiB
JSON
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"title": "Count Beautiful Splits in an Array",
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"content": "<p>You are given an array <code>nums</code>.</p>\n\n<p>A split of an array <code>nums</code> is <strong>beautiful</strong> if:</p>\n\n<ol>\n\t<li>The array <code>nums</code> is split into three <span data-keyword=\"subarray-nonempty\">subarrays</span>: <code>nums1</code>, <code>nums2</code>, and <code>nums3</code>, such that <code>nums</code> can be formed by concatenating <code>nums1</code>, <code>nums2</code>, and <code>nums3</code> in that order.</li>\n\t<li>The subarray <code>nums1</code> is a <span data-keyword=\"array-prefix\">prefix</span> of <code>nums2</code> <strong>OR</strong> <code>nums2</code> is a <span data-keyword=\"array-prefix\">prefix</span> of <code>nums3</code>.</li>\n</ol>\n\n<p>Return the <strong>number of ways</strong> you can make this split.</p>\n\n<p> </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 = [1,1,2,1]</span></p>\n\n<p><strong>Output:</strong> <span class=\"example-io\">2</span></p>\n\n<p><strong>Explanation:</strong></p>\n\n<p>The beautiful splits are:</p>\n\n<ol>\n\t<li>A split with <code>nums1 = [1]</code>, <code>nums2 = [1,2]</code>, <code>nums3 = [1]</code>.</li>\n\t<li>A split with <code>nums1 = [1]</code>, <code>nums2 = [1]</code>, <code>nums3 = [2,1]</code>.</li>\n</ol>\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 = [1,2,3,4]</span></p>\n\n<p><strong>Output:</strong> <span class=\"example-io\">0</span></p>\n\n<p><strong>Explanation:</strong></p>\n\n<p>There are 0 beautiful splits.</p>\n</div>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= nums.length <= 5000</code></li>\n\t<li><code><font face=\"monospace\">0 <= nums[i] <= 50</font></code></li>\n</ul>\n",
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"difficulty": "Medium",
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"exampleTestcases": "[1,1,2,1]\n[1,2,3,4]",
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"categoryTitle": "Algorithms",
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"code": "class Solution {\npublic:\n int beautifulSplits(vector<int>& nums) {\n \n }\n};",
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"code": "class Solution(object):\n def beautifulSplits(self, nums):\n \"\"\"\n :type nums: List[int]\n :rtype: int\n \"\"\"\n ",
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"code": "/**\n * @param {number[]} nums\n * @return {number}\n */\nvar beautifulSplits = function(nums) {\n \n};",
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"lang": "TypeScript",
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"langSlug": "typescript",
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"code": "function beautifulSplits(nums: number[]): number {\n \n};",
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"lang": "PHP",
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"langSlug": "php",
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"code": "class Solution {\n\n /**\n * @param Integer[] $nums\n * @return Integer\n */\n function beautifulSplits($nums) {\n \n }\n}",
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"lang": "Swift",
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"langSlug": "swift",
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"code": "class Solution {\n func beautifulSplits(_ nums: [Int]) -> Int {\n \n }\n}",
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"lang": "Kotlin",
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"langSlug": "kotlin",
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"code": "class Solution {\n fun beautifulSplits(nums: IntArray): Int {\n \n }\n}",
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"lang": "Dart",
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"code": "class Solution {\n int beautifulSplits(List<int> nums) {\n \n }\n}",
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"lang": "Ruby",
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"langSlug": "ruby",
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"code": "# @param {Integer[]} nums\n# @return {Integer}\ndef beautiful_splits(nums)\n \nend",
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"lang": "Scala",
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"code": "object Solution {\n def beautifulSplits(nums: Array[Int]): Int = {\n \n }\n}",
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"langSlug": "rust",
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"code": "impl Solution {\n pub fn beautiful_splits(nums: Vec<i32>) -> i32 {\n \n }\n}",
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"code": "(define/contract (beautiful-splits nums)\n (-> (listof exact-integer?) exact-integer?)\n )",
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"code": "defmodule Solution do\n @spec beautiful_splits(nums :: [integer]) :: integer\n def beautiful_splits(nums) do\n \n end\nend",
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"hints": [
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"Use 2D dynamic programming to find the maximum matching prefix."
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"envInfo": "{\"cpp\": [\"C++\", \"<p>Compiled with <code> clang 19 </code> using the latest C++ 23 standard, and <code>libstdc++</code> provided by GCC 14.</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 2.7.18</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\\\">is not maintained anymore</a>. For the latest Python, please choose Python3 instead.</p>\"], \"c\": [\"C\", \"<p>Compiled with <code>gcc 14</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:
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