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Result.java
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package hackrank.datastruct.heap.runningmedian;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.List;
import java.util.PriorityQueue;
/**
* @see <a href="https://www.hackerrank.com/challenges/find-the-running-median">Find the Running Median</a>
*/
public class Result {
/**
* @param a List of integers in a data stream
* @return List of median values after each integer in data stream
*/
public static List<Double> runningMedian(List<Integer> a) {
// max heap to keep track of numbers lesser "left" than the center
PriorityQueue<Integer> lesserLeft = new PriorityQueue<>(Comparator.reverseOrder());
// min heap to keep track of numbers greater "right" than the center
PriorityQueue<Integer> greaterRight = new PriorityQueue<>();
List<Double> runningMedians = new ArrayList<>(a.size());
for (Integer number : a) {
if (lesserLeft.isEmpty() || lesserLeft.peek() >= number) {
lesserLeft.add(number);
} else {
greaterRight.add(number);
}
int difference = Math.abs(lesserLeft.size() - greaterRight.size());
if (difference > 1) {
balance(lesserLeft, greaterRight);
}
Double median = getMedian(lesserLeft, greaterRight);
runningMedians.add(median);
}
return runningMedians;
}
private static Double getMedian(PriorityQueue<Integer> lesserLeft, PriorityQueue<Integer> greaterRight) {
if (lesserLeft.size() > greaterRight.size()) {
return Double.valueOf(lesserLeft.peek());
} else if (lesserLeft.size() < greaterRight.size()) {
return Double.valueOf(greaterRight.peek());
} else {
double sum = (double) lesserLeft.peek() + greaterRight.peek();
return sum / 2;
}
}
private static void balance(PriorityQueue<Integer> lesserLeft, PriorityQueue<Integer> greaterRight) {
if (lesserLeft.size() > greaterRight.size()) {
Integer number = lesserLeft.poll();
greaterRight.add(number);
} else {
Integer number = greaterRight.poll();
lesserLeft.add(number);
}
}
}