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dungeon-game.py
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dungeon-game.py
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# Time: O(m * n)
# Space: O(m + n)
class Solution(object):
# @param dungeon, a list of lists of integers
# @return a integer
def calculateMinimumHP(self, dungeon):
DP = [float("inf") for _ in dungeon[0]]
DP[-1] = 1
for i in reversed(xrange(len(dungeon))):
DP[-1] = max(DP[-1] - dungeon[i][-1], 1)
for j in reversed(xrange(len(dungeon[i]) - 1)):
min_HP_on_exit = min(DP[j], DP[j + 1])
DP[j] = max(min_HP_on_exit - dungeon[i][j], 1)
return DP[0]
# Time: O(m * n logk), where k is the possible maximum sum of loses
# Space: O(m + n)
class Solution2(object):
# @param dungeon, a list of lists of integers
# @return a integer
def calculateMinimumHP(self, dungeon):
maximum_loses = 0
for rooms in dungeon:
for room in rooms:
if room < 0:
maximum_loses += abs(room)
return self.binarySearch(dungeon, maximum_loses)
def binarySearch(self, dungeon, maximum_loses):
start, end = 1, maximum_loses + 1
result = 0
while start < end:
mid = start + (end - start) / 2
if self.DP(dungeon, mid):
end = mid
else:
start = mid + 1
return start
def DP(self, dungeon, HP):
remain_HP = [0 for _ in dungeon[0]]
remain_HP[0] = HP + dungeon[0][0]
for j in xrange(1, len(remain_HP)):
if remain_HP[j - 1] > 0:
remain_HP[j] = max(remain_HP[j - 1] + dungeon[0][j], 0)
for i in xrange(1, len(dungeon)):
if remain_HP[0] > 0:
remain_HP[0] = max(remain_HP[0] + dungeon[i][0], 0)
else:
remain_HP[0] = 0
for j in xrange(1, len(remain_HP)):
remain = 0
if remain_HP[j - 1] > 0:
remain = max(remain_HP[j - 1] + dungeon[i][j], remain)
if remain_HP[j] > 0:
remain = max(remain_HP[j] + dungeon[i][j], remain)
remain_HP[j] = remain
return remain_HP[-1] > 0