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0295-find-median-from-data-stream.py
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45 lines (35 loc) · 1.32 KB
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# https://leetcode.com/problems/find-median-from-data-stream/
import heapq
class MedianFinder:
def __init__(self):
"""
initialize your data structure here.
"""
self.minHeap = []
self.maxHeap = []
def addNum(self, num: int) -> None:
if not self.minHeap:
heapq.heappush(self.minHeap, [num, num])
return
elif num <= self.minHeap[0][1]:
heapq.heappush(self.maxHeap, [-num, num])
else:
heapq.heappush(self.minHeap, [num, num])
self.balance()
def balance(self):
if len(self.minHeap) > len(self.maxHeap):
x = heapq.heappop(self.minHeap)
heapq.heappush(self.maxHeap, [-x[1], x[1]])
elif len(self.minHeap) < len(self.maxHeap):
x = heapq.heappop(self.maxHeap)
heapq.heappush(self.minHeap, [x[1], x[1]])
def findMedian(self) -> float:
if len(self.minHeap) == len(self.maxHeap):
return (self.maxHeap[0][1] + self.minHeap[0][1])/ 2
if len(self.minHeap) > len(self.maxHeap):
return self.minHeap[0][1]
return self.maxHeap[0][1]
# Your MedianFinder object will be instantiated and called as such:
# obj = MedianFinder()
# obj.addNum(num)
# param_2 = obj.findMedian()