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MedianFromDataStream.java
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57 lines (49 loc) · 1.56 KB
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import java.util.PriorityQueue;
/**
* Leetcode problem #295, Find Median from Data Stream
* https://leetcode.com/problems/find-median-from-data-stream/
*/
public class MedianFromDataStream {
public static void main(String[] args) {
MedianFinder medianFinder = new MedianFinder();
medianFinder.addNum(1); // arr = [1]
medianFinder.addNum(2); // arr = [1, 2]
System.out.println(medianFinder.findMedian()); // return 1.5 (i.e., (1 + 2) / 2)
medianFinder.addNum(3); // arr[1, 2, 3]
System.out.println(medianFinder.findMedian()); // return 2.0
}
}
class MedianFinder {
private PriorityQueue<Integer> minHeap;
private PriorityQueue<Integer> maxHeap;
private int size;
public MedianFinder() {
this.minHeap = new PriorityQueue<>((a, b) -> a - b);
this.maxHeap = new PriorityQueue<>((a, b) -> b - a);
this.size = 0;
}
public void addNum(int num) {
if (maxHeap.isEmpty()) {
maxHeap.add(num);
size++;
return;
}
if (maxHeap.peek() >= num) {
maxHeap.add(num);
if (maxHeap.size() > minHeap.size() + 1) {
minHeap.add(maxHeap.poll());
}
} else {
minHeap.add(num);
if (minHeap.size() > maxHeap.size()) {
maxHeap.add(minHeap.poll());
}
}
size++;
}
public double findMedian() {
if (size % 2 == 0)
return (maxHeap.peek() + minHeap.peek()) / 2.0;
return maxHeap.peek() * 1.0;
}
}