533. Lonely Pixel II (Medium)
Given a picture consisting of black and white pixels, and a positive integer N, find the number of black pixels located at some specific row R and column C that align with all the following rules:
- Row R and column C both contain exactly N black pixels.
- For all rows that have a black pixel at column C, they should be exactly the same as row R
The picture is represented by a 2D char array consisting of 'B' and 'W', which means black and white pixels respectively.
Example:
Input:
[['W', 'B', 'W', 'B', 'B', 'W'],
['W', 'B', 'W', 'B', 'B', 'W'],
['W', 'B', 'W', 'B', 'B', 'W'],
['W', 'W', 'B', 'W', 'B', 'W']]
N = 3
Output: 6
Explanation: All the bold 'B' are the black pixels we need (all 'B's at column 1 and 3).
0 1 2 3 4 5 column index
0 [['W', 'B', 'W', 'B', 'B', 'W'],
1 ['W', 'B', 'W', 'B', 'B', 'W'],
2 ['W', 'B', 'W', 'B', 'B', 'W'],
3 ['W', 'W', 'B', 'W', 'B', 'W']]
row index
Take 'B' at row R = 0 and column C = 1 as an example:
Rule 1, row R = 0 and column C = 1 both have exactly N = 3 black pixels.
Rule 2, the rows have black pixel at column C = 1 are row 0, row 1 and row 2. They are exactly the same as row R = 0.
Note:
- The range of width and height of the input 2D array is [1,200].
Solution:
class Solution {
public:
int findBlackPixel(vector<vector<char>>& picture, int N) {
int m = picture.size(), n = picture[0].size();
vector<int> col(n);
map<vector<int>, int> m2;
for (int i = 0; i < m; ++i) {
vector<int> colpos;
int cnt = 0;
for (int j = 0; j < n; ++j) {
if (picture[i][j] == 'B') {
colpos.push_back(j);
++cnt;
++col[j];
}
}
if (cnt == N) ++m2[colpos];
}
int cnt = 0;
for (auto& a: m2) {
if (a.second == N) {
for (auto& b: a.first) {
if (col[b] == N) cnt += N;
}
}
}
return cnt;
}
};