{ "data": { "question": { "questionId": "1352", "questionFrontendId": "1235", "boundTopicId": null, "title": "Maximum Profit in Job Scheduling", "titleSlug": "maximum-profit-in-job-scheduling", "content": "<p>We have <code>n</code> jobs, where every job is scheduled to be done from <code>startTime[i]</code> to <code>endTime[i]</code>, obtaining a profit of <code>profit[i]</code>.</p>\n\n<p>You're given the <code>startTime</code>, <code>endTime</code> and <code>profit</code> arrays, return the maximum profit you can take such that there are no two jobs in the subset with overlapping time range.</p>\n\n<p>If you choose a job that ends at time <code>X</code> you will be able to start another job that starts at time <code>X</code>.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<p><strong><img alt=\"\" src=\"https://assets.leetcode.com/uploads/2019/10/10/sample1_1584.png\" style=\"width: 380px; height: 154px;\" /></strong></p>\n\n<pre>\n<strong>Input:</strong> startTime = [1,2,3,3], endTime = [3,4,5,6], profit = [50,10,40,70]\n<strong>Output:</strong> 120\n<strong>Explanation:</strong> The subset chosen is the first and fourth job. \nTime range [1-3]+[3-6] , we get profit of 120 = 50 + 70.\n</pre>\n\n<p><strong>Example 2:</strong></p>\n\n<p><strong><img alt=\"\" src=\"https://assets.leetcode.com/uploads/2019/10/10/sample22_1584.png\" style=\"width: 600px; height: 112px;\" /> </strong></p>\n\n<pre>\n<strong>Input:</strong> startTime = [1,2,3,4,6], endTime = [3,5,10,6,9], profit = [20,20,100,70,60]\n<strong>Output:</strong> 150\n<strong>Explanation:</strong> The subset chosen is the first, fourth and fifth job. \nProfit obtained 150 = 20 + 70 + 60.\n</pre>\n\n<p><strong>Example 3:</strong></p>\n\n<p><strong><img alt=\"\" src=\"https://assets.leetcode.com/uploads/2019/10/10/sample3_1584.png\" style=\"width: 400px; height: 112px;\" /></strong></p>\n\n<pre>\n<strong>Input:</strong> startTime = [1,1,1], endTime = [2,3,4], profit = [5,6,4]\n<strong>Output:</strong> 6\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= startTime.length == endTime.length == profit.length <= 5 * 10<sup>4</sup></code></li>\n\t<li><code>1 <= startTime[i] < endTime[i] <= 10<sup>9</sup></code></li>\n\t<li><code>1 <= profit[i] <= 10<sup>4</sup></code></li>\n</ul>\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Hard", "likes": 3058, "dislikes": 32, "isLiked": null, "similarQuestions": "[{\"title\": \"Maximum Earnings From Taxi\", \"titleSlug\": \"maximum-earnings-from-taxi\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"Two Best Non-Overlapping Events\", \"titleSlug\": \"two-best-non-overlapping-events\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]", "exampleTestcases": "[1,2,3,3]\n[3,4,5,6]\n[50,10,40,70]\n[1,2,3,4,6]\n[3,5,10,6,9]\n[20,20,100,70,60]\n[1,1,1]\n[2,3,4]\n[5,6,4]", "categoryTitle": "Algorithms", "contributors": [], "topicTags": [ { "name": "Array", "slug": "array", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Binary Search", "slug": "binary-search", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Dynamic Programming", "slug": "dynamic-programming", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Sorting", "slug": "sorting", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class Solution {\npublic:\n int jobScheduling(vector<int>& startTime, vector<int>& endTime, vector<int>& profit) {\n \n }\n};", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class Solution {\n public int jobScheduling(int[] startTime, int[] endTime, int[] profit) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class Solution(object):\n def jobScheduling(self, startTime, endTime, profit):\n \"\"\"\n :type startTime: List[int]\n :type endTime: List[int]\n :type profit: List[int]\n :rtype: int\n \"\"\"\n ", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class Solution:\n def jobScheduling(self, startTime: List[int], endTime: List[int], profit: List[int]) -> int:\n ", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "\n\nint jobScheduling(int* startTime, int startTimeSize, int* endTime, int endTimeSize, int* profit, int profitSize){\n\n}", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class Solution {\n public int JobScheduling(int[] startTime, int[] endTime, int[] profit) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {number[]} startTime\n * @param {number[]} endTime\n * @param {number[]} profit\n * @return {number}\n */\nvar jobScheduling = function(startTime, endTime, profit) {\n \n};", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# @param {Integer[]} start_time\n# @param {Integer[]} end_time\n# @param {Integer[]} profit\n# @return {Integer}\ndef job_scheduling(start_time, end_time, profit)\n \nend", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "class Solution {\n func jobScheduling(_ startTime: [Int], _ endTime: [Int], _ profit: [Int]) -> Int {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "func jobScheduling(startTime []int, endTime []int, profit []int) int {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "object Solution {\n def jobScheduling(startTime: Array[Int], endTime: Array[Int], profit: Array[Int]): Int = {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class Solution {\n fun jobScheduling(startTime: IntArray, endTime: IntArray, profit: IntArray): Int {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "impl Solution {\n pub fn job_scheduling(start_time: Vec<i32>, end_time: Vec<i32>, profit: Vec<i32>) -> i32 {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class Solution {\n\n /**\n * @param Integer[] $startTime\n * @param Integer[] $endTime\n * @param Integer[] $profit\n * @return Integer\n */\n function jobScheduling($startTime, $endTime, $profit) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "function jobScheduling(startTime: number[], endTime: number[], profit: number[]): number {\n\n};", "__typename": "CodeSnippetNode" }, { "lang": "Racket", "langSlug": "racket", "code": "(define/contract (job-scheduling startTime endTime profit)\n (-> (listof exact-integer?) (listof exact-integer?) (listof exact-integer?) exact-integer?)\n\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec job_scheduling(StartTime :: [integer()], EndTime :: [integer()], Profit :: [integer()]) -> integer().\njob_scheduling(StartTime, EndTime, Profit) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec job_scheduling(start_time :: [integer], end_time :: [integer], profit :: [integer]) :: integer\n def job_scheduling(start_time, end_time, profit) do\n\n end\nend", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"107.8K\", \"totalSubmission\": \"211.8K\", \"totalAcceptedRaw\": 107811, \"totalSubmissionRaw\": 211850, \"acRate\": \"50.9%\"}", "hints": [ "Think on DP.", "Sort the elements by starting time, then define the dp[i] as the maximum profit taking elements from the suffix starting at i.", "Use binarySearch (lower_bound/upper_bound on C++) to get the next index for the DP transition." ], "solution": { "id": "1155", "canSeeDetail": false, "paidOnly": true, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "status": null, "sampleTestCase": "[1,2,3,3]\n[3,4,5,6]\n[50,10,40,70]", "metaData": "{\n \"name\": \"jobScheduling\",\n \"params\": [\n {\n \"name\": \"startTime\",\n \"type\": \"integer[]\"\n },\n {\n \"type\": \"integer[]\",\n \"name\": \"endTime\"\n },\n {\n \"type\": \"integer[]\",\n \"name\": \"profit\"\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 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>. 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For the latest Python, please choose Python3 instead.</p>\"], \"c\": [\"C\", \"<p>Compiled with <code>gcc 8.2</code> using the gnu99 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. 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