1172. Dinner Plate Stacks
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Difficulty: hard Acceptance: 33% Topics: Hash Table, Stack, Design, Heap (Priority Queue)
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Reference solution (spoiler · python)
# Time: push: O(logn)
# pop: O(1), amortized
# popAtStack: O(logn)
# Space: O(n * c)
import heapq
class DinnerPlates(object):
def __init__(self, capacity):
"""
:type capacity: int
"""
self.__stks = []
self.__c = capacity
self.__min_heap = []
def push(self, val):
"""
:type val: int
:rtype: None
"""
if self.__min_heap:
l = heapq.heappop(self.__min_heap)
if l < len(self.__stks):
self.__stks[l].append(val)
return
self.__min_heap = [] # nothing is valid in min heap
if not self.__stks or len(self.__stks[-1]) == self.__c:
self.__stks.append([])
self.__stks[-1].append(val)
def pop(self):
"""
:rtype: int
"""
while self.__stks and not self.__stks[-1]:
self.__stks.pop()
if not self.__stks:
return -1
return self.__stks[-1].pop()
def popAtStack(self, index):
"""
:type index: int
:rtype: int
"""
if index >= len(self.__stks) or not self.__stks[index]:
return -1
heapq.heappush(self.__min_heap, index)
return self.__stks[index].pop()
Solution from kamyu104/LeetCode-Solutions · MIT