- 理解题意,按照递归来即可,先看最小的是否满足,然后不断合并大空间上满足条件的node
Complexity *
"""
# Definition for a QuadTree node.
class Node:
def __init__(self, val, isLeaf, topLeft, topRight, bottomLeft, bottomRight):
self.val = val
self.isLeaf = isLeaf
self.topLeft = topLeft
self.topRight = topRight
self.bottomLeft = bottomLeft
self.bottomRight = bottomRight
"""
class Solution:
def construct(self, grid: List[List[int]]) -> 'Node':
N = len(grid)
if N == 1:
return Node(grid[0][0] == 1, True, None, None, None, None)
topLeftSum = sum([grid[i][j] for i in range(N//2) for j in range(N//2)])
topRightSum = sum([grid[i][j] for i in range(N//2) for j in range(N//2, N)])
bottomLeftSum = sum([grid[i][j] for i in range(N//2, N) for j in range(N//2)])
bottomRightSum = sum(grid[i][j] for i in range(N//2, N) for j in range(N//2, N))
node = Node(False, False, None, None, None, None)
if topLeftSum == topRightSum == bottomLeftSum == bottomRightSum:
if topLeftSum == 0:
node.isLeaf = True
node.val = False
elif topLeftSum == (N // 2) ** 2:
node.isLeaf = True
node.val = True
if node.isLeaf:
return node
node.val = True
node.topLeft = self.construct([[grid[i][j] for j in range(N//2)] for i in range(N//2)])
node.topRight = self.construct([[grid[i][j] for j in range(N//2, N)] for i in range(N//2)])
node.bottomLeft = self.construct([[grid[i][j] for j in range(N//2)] for i in range(N//2, N)])
node.bottomRight = self.construct([[grid[i][j] for j in range(N//2, N)] for i in range(N//2, N)])
return node