23.10 (Heap visualization) Write a program that displays a heap graphically, as shown in Figure 23.10. The program lets you insert and delete an element from the heap.
import javax.swing.*; import java.awt.*; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.util.ArrayList; public class Exercise10 extends JApplet { private ArrayList<Integer> sortedList = new ArrayList<>(); private ArrayList<Integer> heapList = new ArrayList<>(); private static final long serialVersionUID = 1L; private JTextField jTextField1 = new JTextField(10); private HeapClass heapClass = new HeapClass(); public Exercise10() { setLayout(new BorderLayout()); JPanel jPanel1 = new JPanel(new FlowLayout(FlowLayout.CENTER, 10, 10)); jPanel1.add(new JLabel("Enter a key: ")); jPanel1.add(jTextField1); JButton jButton1 = new JButton("Insert"); jPanel1.add(jButton1); JButton jButton2 = new JButton("Remove the root"); jPanel1.add(jButton2); add(jPanel1, BorderLayout.SOUTH); jButton1.addActionListener(new ActionListener() { @Override public void actionPerformed(ActionEvent e) { try { sortedList.add(Integer.parseInt(jTextField1.getText())); heapSort(sortedList); heapClass.repaint(); jTextField1.setText(""); jTextField1.setFocusable(true); } catch (NumberFormatException e2) { } } }); jButton2.addActionListener(new ActionListener() { @Override public void actionPerformed(ActionEvent e) { if(sortedList.size() > 0) { sortedList.remove(sortedList.size() - 1); heapSort(sortedList); heapClass.repaint(); } } }); add(heapClass, BorderLayout.CENTER); } class HeapClass extends JPanel { private static final long serialVersionUID = 1L; @Override protected void paintComponent(Graphics g) { super.paintComponent(g); if(heapList.size() > 0) { drawNode(g, 0, getWidth() / 2, 60, 1); } } void drawNode(Graphics g, int i, int x, int y, int step) { if(2 * i + 1 < heapList.size()) { g.drawLine(x, y, x - (200 / step), y + 60); drawNode(g, 2 * i + 1, x - (200 / step), y + 60, step * 2); } if(2 * i + 2 < heapList.size()) { g.drawLine(x, y, x + (200 / step), y + 60); drawNode(g, 2 * i + 2, x + (200 / step), y + 60, step * 2); } g.setColor(getBackground()); g.fillOval(x - 20, y - 20, 40, 40); g.setColor(Color.BLACK); g.drawOval(x - 20, y - 20, 40, 40); g.drawString(heapList.get(i) + "", x - 10, y); } } public static void main(String[] args) { JFrame frame = new JFrame("Exercise10"); Exercise10 applet = new Exercise10(); frame.add(applet); frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); frame.setSize(960, 500); frame.setMinimumSize(new Dimension(frame.getWidth(), frame.getHeight())); frame.setLocationRelativeTo(null); frame.setVisible(true); } @SuppressWarnings("unchecked") public void heapSort(ArrayList<Integer> list) { Heap<Integer> heap = new Heap<>(); for (int i = 0; i < list.size(); i++) { heap.add(list.get(i)); } heapList = (ArrayList<Integer>) heap.getHeapList().clone(); for (int i = list.size() - 1; i >= 0; i--) { list.set(i, heap.remove()); } } static public class Heap<E extends Comparable<E>> { private java.util.ArrayList<E> list = new java.util.ArrayList<E>(); /** Create a default heap */ public Heap() { } public java.util.ArrayList<E> getHeapList() { return list; } /** Create a heap from an array of objects */ public Heap(E[] objects) { for (int i = 0; i < objects.length; i++) add(objects[i]); } /** Add a new object into the heap */ public void add(E newObject) { list.add(newObject); // Append to the heap int currentIndex = list.size() - 1; // The index of the last node while (currentIndex > 0) { int parentIndex = (currentIndex - 1) / 2; // Swap if the current object is greater than its parent if (list.get(currentIndex).compareTo(list.get(parentIndex)) > 0) { E temp = list.get(currentIndex); list.set(currentIndex, list.get(parentIndex)); list.set(parentIndex, temp); } else break; // the tree is a heap now currentIndex = parentIndex; } } /** Remove the root from the heap */ public E remove() { if (list.size() == 0) return null; E removedObject = list.get(0); list.set(0, list.get(list.size() - 1)); list.remove(list.size() - 1); int currentIndex = 0; while (currentIndex < list.size()) { int leftChildIndex = 2 * currentIndex + 1; int rightChildIndex = 2 * currentIndex + 2; // Find the maximum between two children if (leftChildIndex >= list.size()) break; // The tree is a heap int maxIndex = leftChildIndex; if (rightChildIndex < list.size()) { if (list.get(maxIndex).compareTo(list.get(rightChildIndex)) < 0) { maxIndex = rightChildIndex; } } // Swap if the current node is less than the maximum if (list.get(currentIndex).compareTo(list.get(maxIndex)) < 0) { E temp = list.get(maxIndex); list.set(maxIndex, list.get(currentIndex)); list.set(currentIndex, temp); currentIndex = maxIndex; } else break; // The tree is a heap } return removedObject; } /** Get the number of nodes in the tree */ public int getSize() { return list.size(); } } }
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