Given an n x n
binary matrix image
, flip the image horizontally, then invert it, and return the resulting image.
To flip an image horizontally means that each row of the image is reversed.
- For example, flipping
[1,1,0]
horizontally results in[0,1,1]
.
To invert an image means that each 0
is replaced by 1
, and each 1
is replaced by 0
.
- For example, inverting
[0,1,1]
results in[1,0,0]
.
Example 1:
Input: image = [[1,1,0],[1,0,1],[0,0,0]] Output: [[1,0,0],[0,1,0],[1,1,1]] Explanation: First reverse each row: [[0,1,1],[1,0,1],[0,0,0]]. Then, invert the image: [[1,0,0],[0,1,0],[1,1,1]]
Example 2:
Input: image = [[1,1,0,0],[1,0,0,1],[0,1,1,1],[1,0,1,0]] Output: [[1,1,0,0],[0,1,1,0],[0,0,0,1],[1,0,1,0]] Explanation: First reverse each row: [[0,0,1,1],[1,0,0,1],[1,1,1,0],[0,1,0,1]]. Then invert the image: [[1,1,0,0],[0,1,1,0],[0,0,0,1],[1,0,1,0]]
Constraints:
n == image.length
n == image[i].length
1 <= n <= 20
images[i][j]
is either0
or1
.
class Solution:
def flipAndInvertImage(self, A: List[List[int]]) -> List[List[int]]:
m, n = len(A), len(A[0])
for i in range(m):
p, q = 0, n - 1
while p < q:
t = A[i][p] ^ 1
A[i][p] = A[i][q] ^ 1
A[i][q] = t
p += 1
q -= 1
if p == q:
A[i][p] ^= 1
return A
class Solution {
public int[][] flipAndInvertImage(int[][] A) {
int m = A.length, n = A[0].length;
for (int i = 0; i < m; ++i) {
int p = 0, q = n - 1;
while (p < q) {
int t = A[i][p] ^ 1;
A[i][p] = A[i][q] ^ 1;
A[i][q] = t;
++p;
--q;
}
if (p == q) {
A[i][p] ^= 1;
}
}
return A;
}
}
class Solution {
public:
vector<vector<int>> flipAndInvertImage(vector<vector<int>>& A) {
int m = A.size(), n = A[0].size();
for (int i = 0; i < m; ++i) {
int p = 0, q = n - 1;
while (p < q) {
int t = A[i][p] ^ 1;
A[i][p] = A[i][q] ^ 1;
A[i][q] = t;
++p;
--q;
}
if (p == q) {
A[i][p] ^= 1;
}
}
return A;
}
};