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:
- Let
topLeft[r][c]
be the number of distinct values in the top-left diagonal of the cell(r, c)
in the matrixgrid
. - Let
bottomRight[r][c]
be the number of distinct values in the bottom-right diagonal of the cell(r, c)
in the matrixgrid
.
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.
A 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.
Example 1:
Input: grid = [[1,2,3],[3,1,5],[3,2,1]] Output: [[1,1,0],[1,0,1],[0,1,1]] Explanation: The 1st diagram denotes the initial grid. The 2nd diagram denotes a grid for cell (0,0), where blue-colored cells are cells on its bottom-right diagonal. The 3rd diagram denotes a grid for cell (1,2), where red-colored cells are cells on its top-left diagonal. The 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. - The cell (0,0) contains [1,1] on its bottom-right diagonal and [] on its top-left diagonal. The answer is |1 - 0| = 1. - The cell (1,2) contains [] on its bottom-right diagonal and [2] on its top-left diagonal. The answer is |0 - 1| = 1. - The cell (1,1) contains [1] on its bottom-right diagonal and [1] on its top-left diagonal. The answer is |1 - 1| = 0. The answers of other cells are similarly calculated.
Example 2:
Input: grid = [[1]] Output: [[0]] Explanation: - The cell (0,0) contains [] on its bottom-right diagonal and [] on its top-left diagonal. The answer is |0 - 0| = 0.
Constraints:
m == grid.length
n == grid[i].length
1 <= m, n, grid[i][j] <= 50
Related Topics:
Array, Hash Table, Matrix
Hints:
- Use the set to count the number of distinct elements on diagonals.
// OJ: https://leetcode.com/problems/difference-of-number-of-distinct-values-on-diagonals
// Author: github.com/lzl124631x
// Time: O(MN)
// Space: O(max(M, N)) extra space
class Solution {
public:
vector<vector<int>> differenceOfDistinctValues(vector<vector<int>>& A) {
int M = A.size(), N = A[0].size();
vector<vector<int>> ans(M, vector<int>(N));
auto fill = [&](int i, int j) {
int x = i, y = j;
unordered_map<int, int> m;
for (; x < M && y < N; ++x, ++y) m[A[x][y]]++;
x = i, y = j;
unordered_set<int> s;
for (; x < M && y < N; ++x, ++y) {
if (--m[A[x][y]] == 0) m.erase(A[x][y]);
ans[x][y] = abs((int)s.size() - (int)m.size());
s.insert(A[x][y]);
}
};
for (int j = 0; j < N; ++j) fill(0, j);
for (int i = 1; i < M; ++i) fill(i, 0);
return ans;
}
};