{ "data": { "question": { "questionId": "1711", "questionFrontendId": "1605", "boundTopicId": null, "title": "Find Valid Matrix Given Row and Column Sums", "titleSlug": "find-valid-matrix-given-row-and-column-sums", "content": "<p>You are given two arrays <code>rowSum</code> and <code>colSum</code> of non-negative integers where <code>rowSum[i]</code> is the sum of the elements in the <code>i<sup>th</sup></code> row and <code>colSum[j]</code> is the sum of the elements of the <code>j<sup>th</sup></code> column of a 2D matrix. In other words, you do not know the elements of the matrix, but you do know the sums of each row and column.</p>\n\n<p>Find any matrix of <strong>non-negative</strong> integers of size <code>rowSum.length x colSum.length</code> that satisfies the <code>rowSum</code> and <code>colSum</code> requirements.</p>\n\n<p>Return <em>a 2D array representing <strong>any</strong> matrix that fulfills the requirements</em>. It's guaranteed that <strong>at least one </strong>matrix that fulfills the requirements exists.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> rowSum = [3,8], colSum = [4,7]\n<strong>Output:</strong> [[3,0],\n [1,7]]\n<strong>Explanation:</strong> \n0<sup>th</sup> row: 3 + 0 = 3 == rowSum[0]\n1<sup>st</sup> row: 1 + 7 = 8 == rowSum[1]\n0<sup>th</sup> column: 3 + 1 = 4 == colSum[0]\n1<sup>st</sup> column: 0 + 7 = 7 == colSum[1]\nThe row and column sums match, and all matrix elements are non-negative.\nAnother possible matrix is: [[1,2],\n [3,5]]\n</pre>\n\n<p><strong>Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> rowSum = [5,7,10], colSum = [8,6,8]\n<strong>Output:</strong> [[0,5,0],\n [6,1,0],\n [2,0,8]]\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= rowSum.length, colSum.length <= 500</code></li>\n\t<li><code>0 <= rowSum[i], colSum[i] <= 10<sup>8</sup></code></li>\n\t<li><code>sum(rows) == sum(columns)</code></li>\n</ul>\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Medium", "likes": 856, "dislikes": 26, "isLiked": null, "similarQuestions": "[{\"title\": \"Reconstruct a 2-Row Binary Matrix\", \"titleSlug\": \"reconstruct-a-2-row-binary-matrix\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]", "exampleTestcases": "[3,8]\n[4,7]\n[5,7,10]\n[8,6,8]", "categoryTitle": "Algorithms", "contributors": [], "topicTags": [ { "name": "Array", "slug": "array", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Greedy", "slug": "greedy", "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<vector<int>> restoreMatrix(vector<int>& rowSum, vector<int>& colSum) {\n \n }\n};", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class Solution {\n public int[][] restoreMatrix(int[] rowSum, int[] colSum) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class Solution(object):\n def restoreMatrix(self, rowSum, colSum):\n \"\"\"\n :type rowSum: List[int]\n :type colSum: List[int]\n :rtype: List[List[int]]\n \"\"\"\n ", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class Solution:\n def restoreMatrix(self, rowSum: List[int], colSum: List[int]) -> List[List[int]]:\n ", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "\n\n/**\n * Return an array of arrays of size *returnSize.\n * The sizes of the arrays are returned as *returnColumnSizes array.\n * Note: Both returned array and *columnSizes array must be malloced, assume caller calls free().\n */\nint** restoreMatrix(int* rowSum, int rowSumSize, int* colSum, int colSumSize, int* returnSize, int** returnColumnSizes){\n\n}", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class Solution {\n public int[][] RestoreMatrix(int[] rowSum, int[] colSum) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {number[]} rowSum\n * @param {number[]} colSum\n * @return {number[][]}\n */\nvar restoreMatrix = function(rowSum, colSum) {\n \n};", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# @param {Integer[]} row_sum\n# @param {Integer[]} col_sum\n# @return {Integer[][]}\ndef restore_matrix(row_sum, col_sum)\n \nend", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "class Solution {\n func restoreMatrix(_ rowSum: [Int], _ colSum: [Int]) -> [[Int]] {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "func restoreMatrix(rowSum []int, colSum []int) [][]int {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "object Solution {\n def restoreMatrix(rowSum: Array[Int], colSum: Array[Int]): Array[Array[Int]] = {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class Solution {\n fun restoreMatrix(rowSum: IntArray, colSum: IntArray): Array<IntArray> {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "impl Solution {\n pub fn restore_matrix(row_sum: Vec<i32>, col_sum: Vec<i32>) -> Vec<Vec<i32>> {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class Solution {\n\n /**\n * @param Integer[] $rowSum\n * @param Integer[] $colSum\n * @return Integer[][]\n */\n function restoreMatrix($rowSum, $colSum) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "function restoreMatrix(rowSum: number[], colSum: number[]): number[][] {\n\n};", "__typename": "CodeSnippetNode" }, { "lang": "Racket", "langSlug": "racket", "code": "(define/contract (restore-matrix rowSum colSum)\n (-> (listof exact-integer?) (listof exact-integer?) (listof (listof exact-integer?)))\n\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec restore_matrix(RowSum :: [integer()], ColSum :: [integer()]) -> [[integer()]].\nrestore_matrix(RowSum, ColSum) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec restore_matrix(row_sum :: [integer], col_sum :: [integer]) :: [[integer]]\n def restore_matrix(row_sum, col_sum) do\n\n end\nend", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"24.4K\", \"totalSubmission\": \"31.1K\", \"totalAcceptedRaw\": 24393, \"totalSubmissionRaw\": 31115, \"acRate\": \"78.4%\"}", "hints": [ "Find the smallest rowSum or colSum, and let it be x. Place that number in the grid, and subtract x from rowSum and colSum. Continue until all the sums are satisfied." ], "solution": null, "status": null, "sampleTestCase": "[3,8]\n[4,7]", "metaData": "{\n \"name\": \"restoreMatrix\",\n \"params\": [\n {\n \"name\": \"rowSum\",\n \"type\": \"integer[]\"\n },\n {\n \"type\": \"integer[]\",\n \"name\": \"colSum\"\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. 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. 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