Created
June 8, 2018 05:34
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import java.util.Comparator; | |
import java.util.LinkedList; | |
import java.util.PriorityQueue; | |
import java.util.Queue; | |
class Solution { | |
public double[] medianSlidingWindow(int[] nums, int k) { | |
int len = nums.length; | |
double[] result = new double[len - k + 1]; | |
Queue<Long> queue = new LinkedList<>(); | |
PriorityQueue<Long> maxHeap = new PriorityQueue<>(new Comparator<Long>() { | |
@Override | |
public int compare(Long a, Long b) { | |
if (b < a) return -1; | |
else return 1; | |
} | |
}); | |
PriorityQueue<Long> minHeap = new PriorityQueue<>(); | |
int i = 0; | |
for (int n : nums) { | |
queue.add((long)n); | |
if (maxHeap.isEmpty() || n <= maxHeap.peek()) { | |
maxHeap.add((long)n); | |
} else { | |
minHeap.add((long)n); | |
} | |
if (queue.size() > k) { | |
long front = queue.remove(); | |
if (maxHeap.contains(front)) maxHeap.remove(front); | |
else minHeap.remove(front); | |
} | |
while (maxHeap.size() > minHeap.size() + 1) { | |
minHeap.add(maxHeap.remove()); | |
} | |
while (minHeap.size() > maxHeap.size()) { | |
maxHeap.add(minHeap.remove()); | |
} | |
if (queue.size() < k) continue; | |
if (maxHeap.size() == minHeap.size()) { | |
result[i] = (maxHeap.peek() + minHeap.peek()) / 2.0; | |
} else { | |
result[i] = maxHeap.peek(); | |
} | |
i++; | |
} | |
return result; | |
} | |
} |
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