{ "data": { "question": { "questionId": "2737", "questionFrontendId": "2643", "boundTopicId": null, "title": "Row With Maximum Ones", "titleSlug": "row-with-maximum-ones", "content": "<p>Given a <code>m x n</code> binary matrix <code>mat</code>, find the <strong>0-indexed</strong> position of the row that contains the <strong>maximum</strong> count of <strong>ones,</strong> and the number of ones in that row.</p>\n\n<p>In case there are multiple rows that have the maximum count of ones, the row with the <strong>smallest row number</strong> should be selected.</p>\n\n<p>Return<em> an array containing the index of the row, and the number of ones in it.</em></p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> mat = [[0,1],[1,0]]\n<strong>Output:</strong> [0,1]\n<strong>Explanation:</strong> Both rows have the same number of 1's. So we return the index of the smaller row, 0, and the maximum count of ones (1<code>)</code>. So, the answer is [0,1]. \n</pre>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> mat = [[0,0,0],[0,1,1]]\n<strong>Output:</strong> [1,2]\n<strong>Explanation:</strong> The row indexed 1 has the maximum count of ones <code>(2)</code>. So we return its index, <code>1</code>, and the count. So, the answer is [1,2].\n</pre>\n\n<p><strong class=\"example\">Example 3:</strong></p>\n\n<pre>\n<strong>Input:</strong> mat = [[0,0],[1,1],[0,0]]\n<strong>Output:</strong> [1,2]\n<strong>Explanation:</strong> The row indexed 1 has the maximum count of ones (2). So the answer is [1,2].\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>m == mat.length</code> </li>\n\t<li><code>n == mat[i].length</code> </li>\n\t<li><code>1 <= m, n <= 100</code> </li>\n\t<li><code>mat[i][j]</code> is either <code>0</code> or <code>1</code>.</li>\n</ul>\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 371, "dislikes": 11, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "[[0,1],[1,0]]\n[[0,0,0],[0,1,1]]\n[[0,0],[1,1],[0,0]]", "categoryTitle": "Algorithms", "contributors": [], "topicTags": [ { "name": "Array", "slug": "array", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Matrix", "slug": "matrix", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class Solution {\npublic:\n vector<int> rowAndMaximumOnes(vector<vector<int>>& mat) {\n \n }\n};", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class Solution {\n public int[] rowAndMaximumOnes(int[][] mat) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class Solution(object):\n def rowAndMaximumOnes(self, mat):\n \"\"\"\n :type mat: List[List[int]]\n :rtype: List[int]\n \"\"\"\n ", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class Solution:\n def rowAndMaximumOnes(self, mat: List[List[int]]) -> List[int]:\n ", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "/**\n * Note: The returned array must be malloced, assume caller calls free().\n */\nint* rowAndMaximumOnes(int** mat, int matSize, int* matColSize, int* returnSize){\n\n}", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class Solution {\n public int[] RowAndMaximumOnes(int[][] mat) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {number[][]} mat\n * @return {number[]}\n */\nvar rowAndMaximumOnes = function(mat) {\n \n};", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "function rowAndMaximumOnes(mat: number[][]): number[] {\n\n};", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class Solution {\n\n /**\n * @param Integer[][] $mat\n * @return Integer[]\n */\n function rowAndMaximumOnes($mat) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "class Solution {\n func rowAndMaximumOnes(_ mat: [[Int]]) -> [Int] {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class Solution {\n fun rowAndMaximumOnes(mat: Array<IntArray>): IntArray {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Dart", "langSlug": "dart", "code": "class Solution {\n List<int> rowAndMaximumOnes(List<List<int>> mat) {\n\n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "func rowAndMaximumOnes(mat [][]int) []int {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# @param {Integer[][]} mat\n# @return {Integer[]}\ndef row_and_maximum_ones(mat)\n \nend", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "object Solution {\n def rowAndMaximumOnes(mat: Array[Array[Int]]): Array[Int] = {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "impl Solution {\n pub fn row_and_maximum_ones(mat: Vec<Vec<i32>>) -> Vec<i32> {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Racket", "langSlug": "racket", "code": "(define/contract (row-and-maximum-ones mat)\n (-> (listof (listof exact-integer?)) (listof exact-integer?))\n\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec row_and_maximum_ones(Mat :: [[integer()]]) -> [integer()].\nrow_and_maximum_ones(Mat) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec row_and_maximum_ones(mat :: [[integer]]) :: [integer]\n def row_and_maximum_ones(mat) do\n\n end\nend", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"43.7K\", \"totalSubmission\": \"57.8K\", \"totalAcceptedRaw\": 43678, \"totalSubmissionRaw\": 57775, \"acRate\": \"75.6%\"}", "hints": [ "Iterate through each row and keep the count of ones." ], "solution": null, "status": null, "sampleTestCase": "[[0,1],[1,0]]", "metaData": "{\n \"name\": \"rowAndMaximumOnes\",\n \"params\": [\n {\n \"type\": \"integer[][]\",\n \"name\": \"mat\"\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++ 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>. 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