package skylinealgorithm; import java.io.File; import java.io.FileNotFoundException; import java.util.ArrayList; import java.util.Collections; import java.util.Comparator; import java.util.Scanner; /** * * @author Dimitrios Panagiotis Grigoriou / dimgrichr * * Space complexity: O(n) * Time complexity: O(nlogn), because it is a divide and conquer algorithm */ public class SkylineAlgorithm { private Scanner scanner; private File file; private ArrayList points; private int tableSize; /** * Main constructor of the application. * ArrayList points gets created, which represents the sum of all edges, * which are read from input file. * File's(built-in class) object file is created, * and gets combined with Scanner's(built-in class) object scanner, * so that the points are read. * @param name , the name of the input file. * @throws FileNotFoundException , if input file is not found. */ public SkylineAlgorithm(String name) throws FileNotFoundException{ File file = new File(name); scanner = new Scanner(file); points = new ArrayList<>(); tableSize=scanner.nextInt(); } /** * ArrayList points is filled with all points that are included * in the input file. * Points are sorted based on the x-value, using a Comparator. * @see XComparator */ public void fillMass(){ for(int i=0;scanner.hasNextInt();i++){ //points get added to the ArrayList points.add(new Point(scanner.nextInt(),scanner.nextInt())); } //ArrayList points gets sorted Collections.sort(points,new XComparator()); } /** * @return points, the ArrayList that includes all points. */ public ArrayList getPoints(){ return points; } /** * The main divide and conquer, and also recursive algorithm. * It gets an ArrayList full of points as an argument. * If the size of that ArrayList is 1 or 2, * the ArrayList is returned as it is, or with one less point * (if the initial size is 2 and one of it's points, is dominated by the other one). * On the other hand, if the ArrayList's size is bigger than 2, * the function is called again, twice, * with arguments the corresponding half of the initial ArrayList each time. * Once the flashback has ended, the function produceFinalSkyLine gets called, * in order to produce the final skyline, and return it. * @param list, the initial list of points * @return leftSkyLine, the combination of first half's and second half's skyline * @see Point * @see produceFinalSkyLine */ public ArrayList produceSubSkyLines(ArrayList list){ //part where function exits flashback int size = list.size(); if(size == 1){ return list; } else if(size==2){ if(list.get(0).dominates(list.get(1))){ list.remove(1); } else{ if(list.get(1).dominates(list.get(0))){ list.remove(0); } } return list; } //recursive part of the function ArrayList leftHalf=new ArrayList<>(); ArrayList rightHalf=new ArrayList<>(); for (int i=0;i leftSubSkyLine=new ArrayList<>(); ArrayList rightSubSkyLine=new ArrayList<>(); leftSubSkyLine=produceSubSkyLines(leftHalf); rightSubSkyLine=produceSubSkyLines(rightHalf); //skyline is produced return produceFinalSkyLine(leftSubSkyLine,rightSubSkyLine); } /** * The first half's skyline gets cleared * from some points that are not part of the final skyline * (Points with same x-value and different y=values. The point with the smallest y-value is kept). * Then, the minimum y-value of the points of first half's skyline is found. * That helps us to clear the second half's skyline, because, the points * of second half's skyline that have greater y-value of the minimum y-value that we found before, * are dominated, so they are not part of the final skyline. * Finally, the "cleaned" first half's and second half's skylines, are combined, * producing the final skyline, which is returned. * @param left the skyline of the left part of points * @param right the skyline of the right part of points * @return left the final skyline */ public ArrayList produceFinalSkyLine(ArrayList left, ArrayList right){ //dominated points of ArrayList left are removed for(int i=0;ileft.get(i+1).y){ left.remove(i); i--; } } //minimum y-value is found int min=left.get(0).y; for(int i=1;ileft.get(i).y){ min = left.get(i).y; if(min==1){ i=left.size(); } } } //dominated points of ArrayList right are removed for(int i=0;i=min){ right.remove(i); i--; } } //final skyline found and returned left.addAll(right); return left; } public static class Point{ private int x; private int y; /** * The main constructor of Point Class, used to represent the 2 Dimension points. * @param x the point's x-value. * @param y the point's y-value. */ public Point(int x, int y){ this.x=x; this.y=y; } /** * @return x, the x-value */ public int getX(){ return x; } /** * @return y, the y-value */ public int getY(){ return y; } /** * Based on the skyline theory, * it checks if the point that calls the function dominates the argument point. * @param p1 the point that is compared * @return true if the point wich calls the function dominates p1 * false otherwise. */ public boolean dominates(Point p1){ //checks if p1 is dominated if((this.x { @Override public int compare(Point a, Point b) { return a.x < b.x ? -1 : a.x == b.x ? 0 : 1; } } //main function public static void main(String[] args) throws FileNotFoundException { if (args.length != 1) { System.out.println("Insert the input file"); return; } SkylineAlgorithm skyline = new SkylineAlgorithm(args[0]); skyline.fillMass(); ArrayList list = skyline.produceSubSkyLines(skyline.getPoints()); for(Point x: list){ System.out.println(x.getX() + " " + x.getY()); } } }