Given a m x n
binary matrix mat
. In one step, you can choose one cell and flip it and all the four neighbors of it if they exist (Flip is changing 1
to 0
and 0
to 1
). A pair of cells are called neighbors if they share one edge.
Return the minimum number of steps required to convert mat
to a zero matrix or -1
if you cannot.
A binary matrix is a matrix with all cells equal to 0
or 1
only.
A zero matrix is a matrix with all cells equal to 0
.
Example 1:
Input: mat = [[0,0],[0,1]] Output: 3 Explanation: One possible solution is to flip (1, 0) then (0, 1) and finally (1, 1) as shown.
Example 2:
Input: mat = [[0]] Output: 0 Explanation: Given matrix is a zero matrix. We do not need to change it.
Example 3:
Input: mat = [[1,0,0],[1,0,0]] Output: -1 Explanation: Given matrix cannot be a zero matrix.
Constraints:
m == mat.length
n == mat[i].length
1 <= m, n <= 3
mat[i][j]
is either0
or1
.
Companies:
Google
Related Topics:
Array, Bit Manipulation, Breadth-First Search, Matrix
Similar Questions:
- Minimum Operations to Remove Adjacent Ones in Matrix (Hard)
- Remove All Ones With Row and Column Flips (Medium)
// OJ: https://leetcode.com/problems/minimum-number-of-flips-to-convert-binary-matrix-to-zero-matrix/
// Author: github.com/lzl124631x
// Time: O(MN * 2^(MN))
// Space: O(2^(MN))
class Solution {
public:
int minFlips(vector<vector<int>>& A) {
int M = A.size(), N = A[0].size(), init = 0, step = 0, dirs[4][2] = {{0,1},{0,-1},{1,0},{-1,0}};
for (int i = 0; i < M; ++i) {
for (int j = 0; j < N; ++j) init |= A[i][j] << (i * N + j);
}
queue<int> q{{init}};
unordered_set<int> seen{init};
auto flip = [&](int &state, int x, int y) { state ^= 1 << (x * N + y); };
while (q.size()) {
int cnt = q.size();
while (cnt--) {
int u = q.front();
q.pop();
if (u == 0) return step;
for (int i = 0; i < M; ++i) {
for (int j = 0; j < N; ++j) {
int v = u;
flip(v, i, j);
for (auto &[dx, dy] : dirs) {
int a = i + dx, b = j + dy;
if (a < 0 || b < 0 || a >= M || b >= N) continue;
flip(v, a, b);
}
if (seen.count(v)) continue;
seen.insert(v);
q.push(v);
}
}
}
++step;
}
return -1;
}
};