{ "data": { "question": { "questionId": "1706", "questionFrontendId": "1584", "boundTopicId": null, "title": "Min Cost to Connect All Points", "titleSlug": "min-cost-to-connect-all-points", "content": "<p>You are given an array <code>points</code> representing integer coordinates of some points on a 2D-plane, where <code>points[i] = [x<sub>i</sub>, y<sub>i</sub>]</code>.</p>\n\n<p>The cost of connecting two points <code>[x<sub>i</sub>, y<sub>i</sub>]</code> and <code>[x<sub>j</sub>, y<sub>j</sub>]</code> is the <strong>manhattan distance</strong> between them: <code>|x<sub>i</sub> - x<sub>j</sub>| + |y<sub>i</sub> - y<sub>j</sub>|</code>, where <code>|val|</code> denotes the absolute value of <code>val</code>.</p>\n\n<p>Return <em>the minimum cost to make all points connected.</em> All points are connected if there is <strong>exactly one</strong> simple path between any two points.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2020/08/26/d.png\" style=\"width: 214px; height: 268px;\" />\n<pre>\n<strong>Input:</strong> points = [[0,0],[2,2],[3,10],[5,2],[7,0]]\n<strong>Output:</strong> 20\n<strong>Explanation:</strong> \n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2020/08/26/c.png\" style=\"width: 214px; height: 268px;\" />\nWe can connect the points as shown above to get the minimum cost of 20.\nNotice that there is a unique path between every pair of points.\n</pre>\n\n<p><strong>Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> points = [[3,12],[-2,5],[-4,1]]\n<strong>Output:</strong> 18\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= points.length <= 1000</code></li>\n\t<li><code>-10<sup>6</sup> <= x<sub>i</sub>, y<sub>i</sub> <= 10<sup>6</sup></code></li>\n\t<li>All pairs <code>(x<sub>i</sub>, y<sub>i</sub>)</code> are distinct.</li>\n</ul>\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Medium", "likes": 1157, "dislikes": 44, "isLiked": null, "similarQuestions": "[{\"title\": \"Minimum Number of Lines to Cover Points\", \"titleSlug\": \"minimum-number-of-lines-to-cover-points\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]", "exampleTestcases": "[[0,0],[2,2],[3,10],[5,2],[7,0]]\n[[3,12],[-2,5],[-4,1]]", "categoryTitle": "Algorithms", "contributors": [], "topicTags": [ { "name": "Array", "slug": "array", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Union Find", "slug": "union-find", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Minimum Spanning Tree", "slug": "minimum-spanning-tree", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class Solution {\npublic:\n int minCostConnectPoints(vector<vector<int>>& points) {\n \n }\n};", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class Solution {\n public int minCostConnectPoints(int[][] points) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class Solution(object):\n def minCostConnectPoints(self, points):\n \"\"\"\n :type points: List[List[int]]\n :rtype: int\n \"\"\"\n ", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class Solution:\n def minCostConnectPoints(self, points: List[List[int]]) -> int:\n ", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "\n\nint minCostConnectPoints(int** points, int pointsSize, int* pointsColSize){\n\n}", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class Solution {\n public int MinCostConnectPoints(int[][] points) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {number[][]} points\n * @return {number}\n */\nvar minCostConnectPoints = function(points) {\n \n};", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# @param {Integer[][]} points\n# @return {Integer}\ndef min_cost_connect_points(points)\n \nend", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "class Solution {\n func minCostConnectPoints(_ points: [[Int]]) -> Int {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "func minCostConnectPoints(points [][]int) int {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "object Solution {\n def minCostConnectPoints(points: Array[Array[Int]]): Int = {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class Solution {\n fun minCostConnectPoints(points: Array<IntArray>): Int {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "impl Solution {\n pub fn min_cost_connect_points(points: Vec<Vec<i32>>) -> i32 {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class Solution {\n\n /**\n * @param Integer[][] $points\n * @return Integer\n */\n function minCostConnectPoints($points) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "function minCostConnectPoints(points: number[][]): number {\n\n};", "__typename": "CodeSnippetNode" }, { "lang": "Racket", "langSlug": "racket", "code": "(define/contract (min-cost-connect-points points)\n (-> (listof (listof exact-integer?)) exact-integer?)\n\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec min_cost_connect_points(Points :: [[integer()]]) -> integer().\nmin_cost_connect_points(Points) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec min_cost_connect_points(points :: [[integer]]) :: integer\n def min_cost_connect_points(points) do\n\n end\nend", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"52.6K\", \"totalSubmission\": \"86K\", \"totalAcceptedRaw\": 52648, \"totalSubmissionRaw\": 85950, \"acRate\": \"61.3%\"}", "hints": [ "Connect each pair of points with a weighted edge, the weight being the manhattan distance between those points.", "The problem is now the cost of minimum spanning tree in graph with above edges." ], "solution": { "id": "1314", "canSeeDetail": true, "paidOnly": false, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "status": null, "sampleTestCase": "[[0,0],[2,2],[3,10],[5,2],[7,0]]", "metaData": "{\n \"name\": \"minCostConnectPoints\",\n \"params\": [\n {\n \"name\": \"points\",\n \"type\": \"integer[][]\"\n }\n ],\n \"return\": {\n \"type\": \"integer\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "enableTestMode": 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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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