Solution 1
- TimeO(n log n)
- SpaceO(n)
where, n is the length of nums
Solved in 5 mins, all by yourself! Good job!
Python
from heapq import heapify_max, heappush_max, heappop_max
class Solution:
'''
Time Complexity: O(n log n)
Space Complexity: O(n)
where, n is the length of nums
Solved in 5 mins, all by yourself! Good job!
'''
def lastStoneWeight(self, stones: List[int]) -> int:
heapify_max(stones)
while len(stones) > 1:
stone1 = heappop_max(stones)
stone2 = heappop_max(stones)
if stone1 != stone2:
heappush_max(stones, stone1-stone2)
return stones[0] if stones else 0