Given a 0-indexed 2D grid of size m x n, you should find the matrix answer of size m x n.
The value of each cell (r, c) of the matrix answer is calculated in the following way:
topLeft[r][c] be the number of distinct values in the top-left diagonal of the cell (r, c) in the matrix grid.bottomRight[r][c] be the number of distinct values in the bottom-right diagonal of the cell (r, c) in the matrix grid.Then answer[r][c] = |topLeft[r][c] - bottomRight[r][c]|.
Return the matrix answer.
A matrix diagonal is a diagonal line of cells starting from some cell in either the topmost row or leftmost column and going in the bottom-right direction until reaching the matrix's end.
\n\nA cell (r1, c1) belongs to the top-left diagonal of the cell (r, c), if both belong to the same diagonal and r1 < r. Similarly is defined bottom-right diagonal.
\n
Example 1:
\n![\"\"](\"https://assets.leetcode.com/uploads/2023/04/19/ex2.png\")
\n\n\nInput: grid = [[1,2,3],[3,1,5],[3,2,1]]\nOutput: [[1,1,0],[1,0,1],[0,1,1]]\nExplanation: The 1st diagram denotes the initial grid. \nThe 2nd diagram denotes a grid for cell (0,0), where blue-colored cells are cells on its bottom-right diagonal.\nThe 3rd diagram denotes a grid for cell (1,2), where red-colored cells are cells on its top-left diagonal.\nThe 4th diagram denotes a grid for cell (1,1), where blue-colored cells are cells on its bottom-right diagonal and red-colored cells are cells on its top-left diagonal.\n- The cell (0,0) contains [1,1] on its bottom-right diagonal and [] on its top-left diagonal. The answer is |1 - 0| = 1.\n- The cell (1,2) contains [] on its bottom-right diagonal and [2] on its top-left diagonal. The answer is |0 - 1| = 1.\n- The cell (1,1) contains [1] on its bottom-right diagonal and [1] on its top-left diagonal. The answer is |1 - 1| = 0.\nThe answers of other cells are similarly calculated.\n\n\n
Example 2:
\n\n\nInput: grid = [[1]]\nOutput: [[0]]\nExplanation: - The cell (0,0) contains [] on its bottom-right diagonal and [] on its top-left diagonal. The answer is |0 - 0| = 0.\n\n\n
\n
Constraints:
\n\nm == grid.lengthn == grid[i].length1 <= m, n, grid[i][j] <= 50给你一个下标从 0 开始、大小为 m x n 的二维矩阵 grid ，请你求解大小同样为 m x n 的答案矩阵 answer 。
矩阵 answer 中每个单元格 (r, c) 的值可以按下述方式进行计算：
topLeft[r][c] 为矩阵 grid 中单元格 (r, c) 左上角对角线上 不同值 的数量。bottomRight[r][c] 为矩阵 grid 中单元格 (r, c) 右下角对角线上 不同值 的数量。然后 answer[r][c] = |topLeft[r][c] - bottomRight[r][c]| 。
返回矩阵 answer 。
矩阵对角线 是从最顶行或最左列的某个单元格开始，向右下方向走到矩阵末尾的对角线。
\n\n如果单元格 (r1, c1) 和单元格 (r, c) 属于同一条对角线且 r1 < r ，则单元格 (r1, c1) 属于单元格 (r, c) 的左上对角线。类似地，可以定义右下对角线。
\n\n
示例 1：
\n\n\n输入：grid = [[1,2,3],[3,1,5],[3,2,1]]\n输出：[[1,1,0],[1,0,1],[0,1,1]]\n解释：第 1 个图表示最初的矩阵 grid 。 \n第 2 个图表示对单元格 (0,0) 计算，其中蓝色单元格是位于右下对角线的单元格。\n第 3 个图表示对单元格 (1,2) 计算，其中红色单元格是位于左上对角线的单元格。\n第 4 个图表示对单元格 (1,1) 计算，其中蓝色单元格是位于右下对角线的单元格，红色单元格是位于左上对角线的单元格。\n- 单元格 (0,0) 的右下对角线包含 [1,1] ，而左上对角线包含 [] 。对应答案是 |1 - 0| = 1 。\n- 单元格 (1,2) 的右下对角线包含 [] ，而左上对角线包含 [2] 。对应答案是 |0 - 1| = 1 。\n- 单元格 (1,1) 的右下对角线包含 [1] ，而左上对角线包含 [1] 。对应答案是 |1 - 1| = 0 。\n其他单元格的对应答案也可以按照这样的流程进行计算。\n\n\n
示例 2：
\n\n\n输入：grid = [[1]]\n输出：[[0]]\n解释：- 单元格 (0,0) 的右下对角线包含 [] ，左上对角线包含 [] 。对应答案是 |0 - 0| = 0 。\n\n\n
\n\n
提示：
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