Solution 1

Python
import heapq
class MedianFinder:

    def __init__(self):
        self.left = []
        self.right = []

    def addNum(self, num: int) -> None:
        if self.left == [] or num <= -self.left[0]:
            heapq.heappush(self.left, -num)
        else:
            heapq.heappush(self.right, num)

        if len(self.left) > len(self.right) + 1:
            heapq.heappush(self.right, -heapq.heappop(self.left))
        if len(self.right) > len(self.left):
            heapq.heappush(self.left, -heapq.heappop(self.right))

    def findMedian(self) -> float:
        if len(self.left) == len(self.right):
            return (-self.left[0] + self.right[0]) / 2.0
        return -self.left[0]

# Example usage:
# obj = MedianFinder()
# obj.addNum(num)
# param_2 = obj.findMedian()
Leet Code/python.py · L2221–2248