2019-05-09 19:32:54 +08:00
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package divideconquer;
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2019-01-15 18:41:26 +08:00
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import java.util.ArrayList;
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import java.util.Comparator;
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/**
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* @author dimgrichr
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2020-10-24 18:23:28 +08:00
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* <p>Space complexity: O(n) Time complexity: O(nlogn), because it is a divide and conquer
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* algorithm
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2019-01-15 18:41:26 +08:00
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*/
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public class SkylineAlgorithm {
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2020-10-24 18:23:28 +08:00
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private ArrayList<Point> points;
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/**
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* Main constructor of the application. ArrayList points gets created, which represents the sum of
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* all edges.
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*/
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public SkylineAlgorithm() {
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points = new ArrayList<>();
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}
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/** @return points, the ArrayList that includes all points. */
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public ArrayList<Point> getPoints() {
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return points;
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}
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/**
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* The main divide and conquer, and also recursive algorithm. It gets an ArrayList full of points
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* as an argument. If the size of that ArrayList is 1 or 2, the ArrayList is returned as it is, or
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* with one less point (if the initial size is 2 and one of it's points, is dominated by the other
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* one). On the other hand, if the ArrayList's size is bigger than 2, the function is called
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* again, twice, with arguments the corresponding half of the initial ArrayList each time. Once
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* the flashback has ended, the function produceFinalSkyLine gets called, in order to produce the
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* final skyline, and return it.
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*
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* @param list, the initial list of points
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* @return leftSkyLine, the combination of first half's and second half's skyline
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* @see Point
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*/
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public ArrayList<Point> produceSubSkyLines(ArrayList<Point> list) {
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// part where function exits flashback
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int size = list.size();
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if (size == 1) {
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return list;
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} else if (size == 2) {
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if (list.get(0).dominates(list.get(1))) {
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list.remove(1);
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} else {
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if (list.get(1).dominates(list.get(0))) {
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list.remove(0);
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}
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}
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return list;
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2019-01-15 18:41:26 +08:00
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}
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2019-01-15 19:54:43 +08:00
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2020-10-24 18:23:28 +08:00
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// recursive part of the function
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ArrayList<Point> leftHalf = new ArrayList<>();
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ArrayList<Point> rightHalf = new ArrayList<>();
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for (int i = 0; i < list.size(); i++) {
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if (i < list.size() / 2) {
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leftHalf.add(list.get(i));
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} else {
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rightHalf.add(list.get(i));
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}
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}
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ArrayList<Point> leftSubSkyLine = produceSubSkyLines(leftHalf);
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ArrayList<Point> rightSubSkyLine = produceSubSkyLines(rightHalf);
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// skyline is produced
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return produceFinalSkyLine(leftSubSkyLine, rightSubSkyLine);
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}
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/**
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* The first half's skyline gets cleared from some points that are not part of the final skyline
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* (Points with same x-value and different y=values. The point with the smallest y-value is kept).
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* Then, the minimum y-value of the points of first half's skyline is found. That helps us to
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* clear the second half's skyline, because, the points of second half's skyline that have greater
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* y-value of the minimum y-value that we found before, are dominated, so they are not part of the
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* final skyline. Finally, the "cleaned" first half's and second half's skylines, are combined,
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* producing the final skyline, which is returned.
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*
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* @param left the skyline of the left part of points
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* @param right the skyline of the right part of points
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* @return left the final skyline
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*/
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public ArrayList<Point> produceFinalSkyLine(ArrayList<Point> left, ArrayList<Point> right) {
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// dominated points of ArrayList left are removed
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for (int i = 0; i < left.size() - 1; i++) {
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if (left.get(i).x == left.get(i + 1).x && left.get(i).y > left.get(i + 1).y) {
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left.remove(i);
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i--;
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}
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2019-01-15 18:41:26 +08:00
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}
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2019-01-15 19:54:43 +08:00
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2020-10-24 18:23:28 +08:00
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// minimum y-value is found
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int min = left.get(0).y;
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for (int i = 1; i < left.size(); i++) {
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if (min > left.get(i).y) {
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min = left.get(i).y;
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if (min == 1) {
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i = left.size();
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2019-01-15 18:41:26 +08:00
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}
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2020-10-24 18:23:28 +08:00
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}
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}
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2019-01-15 19:54:43 +08:00
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2020-10-24 18:23:28 +08:00
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// dominated points of ArrayList right are removed
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for (int i = 0; i < right.size(); i++) {
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if (right.get(i).y >= min) {
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right.remove(i);
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i--;
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}
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2019-01-15 18:41:26 +08:00
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}
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2019-01-15 19:54:43 +08:00
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2020-10-24 18:23:28 +08:00
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// final skyline found and returned
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left.addAll(right);
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return left;
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}
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public static class Point {
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private int x;
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private int y;
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2019-01-15 19:54:43 +08:00
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2019-01-15 18:41:26 +08:00
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/**
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2020-10-24 18:23:28 +08:00
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* The main constructor of Point Class, used to represent the 2 Dimension points.
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2019-01-15 19:54:43 +08:00
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*
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2020-10-24 18:23:28 +08:00
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* @param x the point's x-value.
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* @param y the point's y-value.
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2019-01-15 18:41:26 +08:00
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*/
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2020-10-24 18:23:28 +08:00
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public Point(int x, int y) {
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this.x = x;
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this.y = y;
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2019-01-15 18:41:26 +08:00
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}
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2020-10-24 18:23:28 +08:00
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/** @return x, the x-value */
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public int getX() {
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return x;
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}
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2019-01-15 19:54:43 +08:00
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2020-10-24 18:23:28 +08:00
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/** @return y, the y-value */
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public int getY() {
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return y;
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2019-01-15 18:41:26 +08:00
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}
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2019-01-15 19:54:43 +08:00
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2019-01-15 18:41:26 +08:00
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/**
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2020-10-24 18:23:28 +08:00
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* Based on the skyline theory, it checks if the point that calls the function dominates the
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* argument point.
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*
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* @param p1 the point that is compared
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* @return true if the point wich calls the function dominates p1 false otherwise.
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2019-01-15 18:41:26 +08:00
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*/
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2020-10-24 18:23:28 +08:00
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public boolean dominates(Point p1) {
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// checks if p1 is dominated
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return (this.x < p1.x && this.y <= p1.y) || (this.x <= p1.x && this.y < p1.y);
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}
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}
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/**
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* It is used to compare the 2 Dimension points, based on their x-values, in order get sorted
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* later.
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*/
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class XComparator implements Comparator<Point> {
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@Override
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public int compare(Point a, Point b) {
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return Integer.compare(a.x, b.x);
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2019-01-15 18:41:26 +08:00
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}
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2020-10-24 18:23:28 +08:00
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}
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2019-01-15 18:41:26 +08:00
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}
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