mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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180 lines
18 KiB
JSON
180 lines
18 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1220",
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"questionFrontendId": "1125",
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"boundTopicId": null,
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"title": "Smallest Sufficient Team",
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"titleSlug": "smallest-sufficient-team",
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"content": "<p>In a project, you have a list of required skills <code>req_skills</code>, and a list of people. The <code>i<sup>th</sup></code> person <code>people[i]</code> contains a list of skills that the person has.</p>\n\n<p>Consider a sufficient team: a set of people such that for every required skill in <code>req_skills</code>, there is at least one person in the team who has that skill. We can represent these teams by the index of each person.</p>\n\n<ul>\n\t<li>For example, <code>team = [0, 1, 3]</code> represents the people with skills <code>people[0]</code>, <code>people[1]</code>, and <code>people[3]</code>.</li>\n</ul>\n\n<p>Return <em>any sufficient team of the smallest possible size, represented by the index of each person</em>. You may return the answer in <strong>any order</strong>.</p>\n\n<p>It is <strong>guaranteed</strong> an answer exists.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n<pre><strong>Input:</strong> req_skills = [\"java\",\"nodejs\",\"reactjs\"], people = [[\"java\"],[\"nodejs\"],[\"nodejs\",\"reactjs\"]]\n<strong>Output:</strong> [0,2]\n</pre><p><strong>Example 2:</strong></p>\n<pre><strong>Input:</strong> req_skills = [\"algorithms\",\"math\",\"java\",\"reactjs\",\"csharp\",\"aws\"], people = [[\"algorithms\",\"math\",\"java\"],[\"algorithms\",\"math\",\"reactjs\"],[\"java\",\"csharp\",\"aws\"],[\"reactjs\",\"csharp\"],[\"csharp\",\"math\"],[\"aws\",\"java\"]]\n<strong>Output:</strong> [1,2]\n</pre>\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= req_skills.length <= 16</code></li>\n\t<li><code>1 <= req_skills[i].length <= 16</code></li>\n\t<li><code>req_skills[i]</code> consists of lowercase English letters.</li>\n\t<li>All the strings of <code>req_skills</code> are <strong>unique</strong>.</li>\n\t<li><code>1 <= people.length <= 60</code></li>\n\t<li><code>0 <= people[i].length <= 16</code></li>\n\t<li><code>1 <= people[i][j].length <= 16</code></li>\n\t<li><code>people[i][j]</code> consists of lowercase English letters.</li>\n\t<li>All the strings of <code>people[i]</code> are <strong>unique</strong>.</li>\n\t<li>Every skill in <code>people[i]</code> is a skill in <code>req_skills</code>.</li>\n\t<li>It is guaranteed a sufficient team exists.</li>\n</ul>\n",
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"translatedTitle": null,
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"isPaidOnly": false,
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"difficulty": "Hard",
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"likes": 706,
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"similarQuestions": "[{\"title\": \"The Number of Good Subsets\", \"titleSlug\": \"the-number-of-good-subsets\", \"difficulty\": \"Hard\", \"translatedTitle\": null}, {\"title\": \"Minimum Number of Work Sessions to Finish the Tasks\", \"titleSlug\": \"minimum-number-of-work-sessions-to-finish-the-tasks\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]",
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"exampleTestcases": "[\"java\",\"nodejs\",\"reactjs\"]\n[[\"java\"],[\"nodejs\"],[\"nodejs\",\"reactjs\"]]\n[\"algorithms\",\"math\",\"java\",\"reactjs\",\"csharp\",\"aws\"]\n[[\"algorithms\",\"math\",\"java\"],[\"algorithms\",\"math\",\"reactjs\"],[\"java\",\"csharp\",\"aws\"],[\"reactjs\",\"csharp\"],[\"csharp\",\"math\"],[\"aws\",\"java\"]]",
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"categoryTitle": "Algorithms",
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"contributors": [],
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"topicTags": [
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{
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"name": "Array",
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"slug": "array",
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"name": "Dynamic Programming",
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"__typename": "TopicTagNode"
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},
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{
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"name": "Bit Manipulation",
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"slug": "bit-manipulation",
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"translatedName": null,
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"__typename": "TopicTagNode"
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},
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{
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"name": "Bitmask",
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"slug": "bitmask",
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"lang": "C++",
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"langSlug": "cpp",
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"code": "class Solution {\npublic:\n vector<int> smallestSufficientTeam(vector<string>& req_skills, vector<vector<string>>& people) {\n \n }\n};",
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"__typename": "CodeSnippetNode"
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"lang": "Java",
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"langSlug": "java",
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"code": "class Solution {\n public int[] smallestSufficientTeam(String[] req_skills, List<List<String>> people) {\n \n }\n}",
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"lang": "Python",
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"langSlug": "python",
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"code": "class Solution(object):\n def smallestSufficientTeam(self, req_skills, people):\n \"\"\"\n :type req_skills: List[str]\n :type people: List[List[str]]\n :rtype: List[int]\n \"\"\"\n ",
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"lang": "Python3",
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"langSlug": "python3",
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"code": "class Solution:\n def smallestSufficientTeam(self, req_skills: List[str], people: List[List[str]]) -> List[int]:\n ",
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},
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"lang": "C",
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"langSlug": "c",
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"code": "\n\n/**\n * Note: The returned array must be malloced, assume caller calls free().\n */\nint* smallestSufficientTeam(char ** req_skills, int req_skillsSize, char *** people, int peopleSize, int* peopleColSize, int* returnSize){\n\n}",
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"lang": "C#",
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"langSlug": "csharp",
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"code": "public class Solution {\n public int[] SmallestSufficientTeam(string[] req_skills, IList<IList<string>> people) {\n \n }\n}",
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"__typename": "CodeSnippetNode"
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},
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"lang": "JavaScript",
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"langSlug": "javascript",
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"code": "/**\n * @param {string[]} req_skills\n * @param {string[][]} people\n * @return {number[]}\n */\nvar smallestSufficientTeam = function(req_skills, people) {\n \n};",
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"__typename": "CodeSnippetNode"
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{
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"lang": "Ruby",
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"langSlug": "ruby",
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"code": "# @param {String[]} req_skills\n# @param {String[][]} people\n# @return {Integer[]}\ndef smallest_sufficient_team(req_skills, people)\n \nend",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Swift",
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"langSlug": "swift",
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"code": "class Solution {\n func smallestSufficientTeam(_ req_skills: [String], _ people: [[String]]) -> [Int] {\n \n }\n}",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Go",
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"langSlug": "golang",
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"code": "func smallestSufficientTeam(req_skills []string, people [][]string) []int {\n \n}",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Scala",
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"langSlug": "scala",
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"code": "object Solution {\n def smallestSufficientTeam(req_skills: Array[String], people: List[List[String]]): Array[Int] = {\n \n }\n}",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Kotlin",
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"langSlug": "kotlin",
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"code": "class Solution {\n fun smallestSufficientTeam(req_skills: Array<String>, people: List<List<String>>): IntArray {\n \n }\n}",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Rust",
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"langSlug": "rust",
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"code": "impl Solution {\n pub fn smallest_sufficient_team(req_skills: Vec<String>, people: Vec<Vec<String>>) -> Vec<i32> {\n \n }\n}",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PHP",
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"langSlug": "php",
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"code": "class Solution {\n\n /**\n * @param String[] $req_skills\n * @param String[][] $people\n * @return Integer[]\n */\n function smallestSufficientTeam($req_skills, $people) {\n \n }\n}",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "TypeScript",
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"langSlug": "typescript",
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"code": "function smallestSufficientTeam(req_skills: string[], people: string[][]): number[] {\n\n};",
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},
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{
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"lang": "Racket",
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"langSlug": "racket",
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"code": "(define/contract (smallest-sufficient-team req_skills people)\n (-> (listof string?) (listof (listof string?)) (listof exact-integer?))\n\n )",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Erlang",
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"langSlug": "erlang",
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"code": "-spec smallest_sufficient_team(Req_skills :: [unicode:unicode_binary()], People :: [[unicode:unicode_binary()]]) -> [integer()].\nsmallest_sufficient_team(Req_skills, People) ->\n .",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Elixir",
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"langSlug": "elixir",
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"code": "defmodule Solution do\n @spec smallest_sufficient_team(req_skills :: [String.t], people :: [[String.t]]) :: [integer]\n def smallest_sufficient_team(req_skills, people) do\n\n end\nend",
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"__typename": "CodeSnippetNode"
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}
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],
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"stats": "{\"totalAccepted\": \"16K\", \"totalSubmission\": \"33.5K\", \"totalAcceptedRaw\": 15993, \"totalSubmissionRaw\": 33532, \"acRate\": \"47.7%\"}",
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"hints": [
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"Do a bitmask DP.",
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"For each person, for each set of skills, we can update our understanding of a minimum set of people needed to perform this set of skills."
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],
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"solution": null,
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"status": null,
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"sampleTestCase": "[\"java\",\"nodejs\",\"reactjs\"]\n[[\"java\"],[\"nodejs\"],[\"nodejs\",\"reactjs\"]]",
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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>. 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