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{
"data": {
"question": {
"questionId": "898",
"questionFrontendId": "867",
"categoryTitle": "Algorithms",
"boundTopicId": 1149,
"title": "Transpose Matrix",
"titleSlug": "transpose-matrix",
"content": "<p>Given a 2D integer array <code>matrix</code>, return <em>the <strong>transpose</strong> of</em> <code>matrix</code>.</p>\n\n<p>The <strong>transpose</strong> of a matrix is the matrix flipped over its main diagonal, switching the matrix&#39;s row and column indices.</p>\n\n<p><img alt=\"\" src=\"https://assets.leetcode.com/uploads/2021/02/10/hint_transpose.png\" style=\"width: 600px; height: 197px;\" /></p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> matrix = [[1,2,3],[4,5,6],[7,8,9]]\n<strong>Output:</strong> [[1,4,7],[2,5,8],[3,6,9]]\n</pre>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> matrix = [[1,2,3],[4,5,6]]\n<strong>Output:</strong> [[1,4],[2,5],[3,6]]\n</pre>\n\n<p>&nbsp;</p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>m == matrix.length</code></li>\n\t<li><code>n == matrix[i].length</code></li>\n\t<li><code>1 &lt;= m, n &lt;= 1000</code></li>\n\t<li><code>1 &lt;= m * n &lt;= 10<sup>5</sup></code></li>\n\t<li><code>-10<sup>9</sup> &lt;= matrix[i][j] &lt;= 10<sup>9</sup></code></li>\n</ul>\n",
"translatedTitle": "转置矩阵",
"translatedContent": "<p>给你一个二维整数数组 <code>matrix</code>, 返回 <code>matrix</code> 的 <strong>转置矩阵</strong> 。</p>\n\n<p>矩阵的 <strong>转置</strong> 是指将矩阵的主对角线翻转,交换矩阵的行索引与列索引。</p>\n\n<p><img alt=\"\" src=\"https://assets.leetcode.com/uploads/2021/02/10/hint_transpose.png\" style=\"width: 600px; height: 197px;\" /></p>\n\n<p> </p>\n\n<p><strong>示例 1</strong></p>\n\n<pre>\n<strong>输入:</strong>matrix = [[1,2,3],[4,5,6],[7,8,9]]\n<strong>输出:</strong>[[1,4,7],[2,5,8],[3,6,9]]\n</pre>\n\n<p><strong>示例 2</strong></p>\n\n<pre>\n<strong>输入:</strong>matrix = [[1,2,3],[4,5,6]]\n<strong>输出:</strong>[[1,4],[2,5],[3,6]]\n</pre>\n\n<p> </p>\n\n<p><strong>提示:</strong></p>\n\n<ul>\n\t<li><code>m == matrix.length</code></li>\n\t<li><code>n == matrix[i].length</code></li>\n\t<li><code>1 <= m, n <= 1000</code></li>\n\t<li><code>1 <= m * n <= 10<sup>5</sup></code></li>\n\t<li><code>-10<sup>9</sup> <= matrix[i][j] <= 10<sup>9</sup></code></li>\n</ul>\n",
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"translatedName": "数组",
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"code": "class Solution {\npublic:\n vector<vector<int>> transpose(vector<vector<int>>& matrix) {\n\n }\n};",
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"code": "class Solution(object):\n def transpose(self, matrix):\n \"\"\"\n :type matrix: List[List[int]]\n :rtype: List[List[int]]\n \"\"\"",
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"code": "/**\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** transpose(int** matrix, int matrixSize, int* matrixColSize, int* returnSize, int** returnColumnSizes) {\n \n}",
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"code": "/**\n * @param {number[][]} matrix\n * @return {number[][]}\n */\nvar transpose = function(matrix) {\n\n};",
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"code": "class Solution {\n\n /**\n * @param Integer[][] $matrix\n * @return Integer[][]\n */\n function transpose($matrix) {\n\n }\n}",
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"code": "# @param {Integer[][]} matrix\n# @return {Integer[][]}\ndef transpose(matrix)\n\nend",
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"lang": "Rust",
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"code": "impl Solution {\n pub fn transpose(matrix: Vec<Vec<i32>>) -> Vec<Vec<i32>> {\n\n }\n}",
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"code": "defmodule Solution do\n @spec transpose(matrix :: [[integer]]) :: [[integer]]\n def transpose(matrix) do\n \n end\nend",
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"hints": [
"We don't need any special algorithms to do this. You just need to know what the transpose of a matrix looks like. Rows become columns and vice versa!"
],
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