matrix1 = [["1","0","1","0","0"],["1","0","1","1","1"],["1","1","1","1","1"],["1","0","1","1","1"]]
class Solution:
def maximalSquare(self, matrix):
if not matrix or not matrix[0]:
return 0
m, n = len(matrix), len(matrix[0])
dp = [[0] * n for _ in range(m)]
ans = 0
for i in range(m):
for j in range(n):
dp[i][j] = int(matrix[i][j])
if i and j and dp[i][j]:
dp[i][j] = min(dp[i - 1][j], dp[i][j - 1], dp[i - 1][j - 1]) + 1
ans = max(ans, dp[i][j])
return ans * ans
s = Solution()
s.maximalSquare(matrix1)
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