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01-matrix.py 1.99 KB
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Sanghee Kim 提交于 2019-01-19 19:53 +08:00 . init deque doesn't require empty []
# Time: O(m * n)
# Space: O(m * n)
import collections
class Solution(object):
def updateMatrix(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: List[List[int]]
"""
queue = collections.deque()
for i in xrange(len(matrix)):
for j in xrange(len(matrix[0])):
if matrix[i][j] == 0:
queue.append((i, j))
else:
matrix[i][j] = float("inf")
dirs = [(-1, 0), (1, 0), (0, -1), (0, 1)]
while queue:
cell = queue.popleft()
for dir in dirs:
i, j = cell[0]+dir[0], cell[1]+dir[1]
if not (0 <= i < len(matrix)) or not (0 <= j < len(matrix[0])) or \
matrix[i][j] <= matrix[cell[0]][cell[1]]+1:
continue
queue.append((i, j))
matrix[i][j] = matrix[cell[0]][cell[1]]+1
return matrix
# Time: O(m * n)
# Space: O(m * n)
# dp solution
class Solution2(object):
def updateMatrix(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: List[List[int]]
"""
dp = [[float("inf")]*len(matrix[0]) for _ in xrange(len(matrix))]
for i in xrange(len(matrix)):
for j in xrange(len(matrix[i])):
if matrix[i][j] == 0:
dp[i][j] = 0
else:
if i > 0:
dp[i][j] = min(dp[i][j], dp[i-1][j]+1)
if j > 0:
dp[i][j] = min(dp[i][j], dp[i][j-1]+1)
for i in reversed(xrange(len(matrix))):
for j in reversed(xrange(len(matrix[i]))):
if matrix[i][j] == 0:
dp[i][j] = 0
else:
if i < len(matrix)-1:
dp[i][j] = min(dp[i][j], dp[i+1][j]+1)
if j < len(matrix[i])-1:
dp[i][j] = min(dp[i][j], dp[i][j+1]+1)
return dp
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