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leetcode-problemset/leetcode/originData/sum-of-beauty-of-all-substrings.json

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{
"data": {
"question": {
"questionId": "1890",
"questionFrontendId": "1781",
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"title": "Sum of Beauty of All Substrings",
"titleSlug": "sum-of-beauty-of-all-substrings",
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"content": "<p>The <strong>beauty</strong> of a string is the difference in frequencies between the most frequent and least frequent characters.</p>\n\n<ul>\n\t<li>For example, the beauty of <code>&quot;abaacc&quot;</code> is <code>3 - 1 = 2</code>.</li>\n</ul>\n\n<p>Given a string <code>s</code>, return <em>the sum of <strong>beauty</strong> of all of its substrings.</em></p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> s = &quot;aabcb&quot;\n<strong>Output:</strong> 5\n<strong>Explanation: </strong>The substrings with non-zero beauty are [&quot;aab&quot;,&quot;aabc&quot;,&quot;aabcb&quot;,&quot;abcb&quot;,&quot;bcb&quot;], each with beauty equal to 1.</pre>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> s = &quot;aabcbaa&quot;\n<strong>Output:</strong> 17\n</pre>\n\n<p>&nbsp;</p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 &lt;= s.length &lt;=<sup> </sup>500</code></li>\n\t<li><code>s</code> consists of only lowercase English letters.</li>\n</ul>\n",
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"exampleTestcases": "\"aabcb\"\n\"aabcbaa\"",
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"code": "class Solution {\npublic:\n int beautySum(string s) {\n \n }\n};",
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"code": "class Solution(object):\n def beautySum(self, s):\n \"\"\"\n :type s: str\n :rtype: int\n \"\"\"\n ",
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"code": "int beautySum(char* s) {\n \n}",
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"code": "public class Solution {\n public int BeautySum(string s) {\n \n }\n}",
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"code": "/**\n * @param {string} s\n * @return {number}\n */\nvar beautySum = function(s) {\n \n};",
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"lang": "TypeScript",
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"code": "function beautySum(s: string): number {\n \n};",
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"lang": "PHP",
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"code": "class Solution {\n\n /**\n * @param String $s\n * @return Integer\n */\n function beautySum($s) {\n \n }\n}",
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"lang": "Swift",
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"code": "class Solution {\n func beautySum(_ s: String) -> Int {\n \n }\n}",
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"lang": "Kotlin",
"langSlug": "kotlin",
"code": "class Solution {\n fun beautySum(s: String): Int {\n \n }\n}",
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"lang": "Dart",
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"lang": "Go",
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"lang": "Ruby",
"langSlug": "ruby",
"code": "# @param {String} s\n# @return {Integer}\ndef beauty_sum(s)\n \nend",
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"lang": "Scala",
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"code": "object Solution {\n def beautySum(s: String): Int = {\n \n }\n}",
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"lang": "Rust",
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"code": "impl Solution {\n pub fn beauty_sum(s: String) -> i32 {\n \n }\n}",
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"lang": "Racket",
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"code": "(define/contract (beauty-sum s)\n (-> string? exact-integer?)\n )",
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"lang": "Erlang",
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"code": "-spec beauty_sum(S :: unicode:unicode_binary()) -> integer().\nbeauty_sum(S) ->\n .",
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"lang": "Elixir",
"langSlug": "elixir",
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"code": "defmodule Solution do\n @spec beauty_sum(s :: String.t) :: integer\n def beauty_sum(s) do\n \n end\nend",
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"hints": [
"Maintain a prefix sum for the frequencies of characters.",
"You can iterate over all substring then iterate over the alphabet and find which character appears most and which appears least using the prefix sum array"
],
"solution": null,
"status": null,
"sampleTestCase": "\"aabcb\"",
"metaData": "{\n \"name\": \"beautySum\",\n \"params\": [\n {\n \"name\": \"s\",\n \"type\": \"string\"\n }\n ],\n \"return\": {\n \"type\": \"integer\"\n }\n}",
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"envInfo": "{\"cpp\": [\"C++\", \"<p>Compiled with <code> clang 11 </code> using the latest C++ 20 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 5.3.0 version of <a href=\\\"https://github.com/datastructures-js/priority-queue/tree/fb4fdb984834421279aeb081df7af624d17c2a03\\\" target=\\\"_blank\\\">datastructures-js/priority-queue</a> and 4.2.1 version of <a href=\\\"https://githu
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