253. Meeting Rooms II
Read the full problem statement on LeetCode.
Difficulty: medium Acceptance: 52% Topics: Array, Two Pointers, Greedy, Sorting, Heap (Priority Queue), Prefix Sum
View full problem on LeetCode Reading material
Reference solution (spoiler · python)
# Time: O(nlogn)
# Space: O(n)
class Solution(object):
# @param {Interval[]} intervals
# @return {integer}
def minMeetingRooms(self, intervals):
result, curr = 0, 0
line = [x for i, j in intervals for x in [[i, 1], [j, -1]]]
line.sort()
for _, num in line:
curr += num
result = max(result, curr)
return result
# Time: O(nlogn)
# Space: O(n)
class Solution2(object):
# @param {Interval[]} intervals
# @return {integer}
def minMeetingRooms(self, intervals):
starts, ends = [], []
for start, end in intervals:
starts.append(start)
ends.append(end)
starts.sort()
ends.sort()
s, e = 0, 0
min_rooms, cnt_rooms = 0, 0
while s < len(starts):
if starts[s] < ends[e]:
cnt_rooms += 1 # Acquire a room.
# Update the min number of rooms.
min_rooms = max(min_rooms, cnt_rooms)
s += 1
else:
cnt_rooms -= 1 # Release a room.
e += 1
return min_rooms
# Time: O(nlogn)
# Space: O(n)
from heapq import heappush, heappop
class Solution3(object):
def minMeetingRooms(self, intervals):
"""
:type intervals: List[Interval]
:rtype: int
"""
if not intervals:
return 0
intervals.sort(key=lambda x: x[0])
free_rooms = []
heappush(free_rooms, intervals[0][1])
for interval in intervals[1:]:
if free_rooms[0] <= interval[0]:
heappop(free_rooms)
heappush(free_rooms, interval[1])
return len(free_rooms)
Solution from kamyu104/LeetCode-Solutions · MIT