188 lines
5.3 KiB
Java
188 lines
5.3 KiB
Java
import java.util.Scanner;
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/**
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* Heap Sort Algorithm.
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*
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*/
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public class HeapSort {
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/**
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* array to store heap.
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*/
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private int[] heap;
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/**
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* size of heap.
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*/
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private int size;
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/**
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* Constructor.
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*
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* @param heap
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* array of unordered integers
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*/
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public HeapSort(int[] heap) {
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this.setHeap(heap);
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this.setSize(heap.length);
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}
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/**
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* Sets this.size with {@code length).
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*
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* @param length
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* integer length of heap
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*/
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private void setSize(int length) {
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this.size = length;
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}
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/**
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* Sets Heap with {@code heap}.
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*
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* @param heap
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* array of unordered elements
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*/
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private void setHeap(int[] heap) {
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this.heap = heap;
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}
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/**
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* Swaps index of {@code first} with {@code second}.
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*
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* @param first
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* index to swap {@code second} with
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* @param second
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* index to swap {@code first} with
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*/
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private void swap(int first, int second) {
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int temp = this.heap[first];
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this.heap[first] = this.heap[second];
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this.heap[second] = temp;
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}
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/**
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* Heapifies subtree from {@code top} as root to {@code last} as last child.
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*
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* @param rootIndex
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* index of root
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* @param lastChild
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* index of last child
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*/
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private void heapSubtree(int rootIndex, int lastChild) {
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int leftIndex = rootIndex * 2 + 1; // calculate index of left children
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int rightIndex = rootIndex * 2 + 2;
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boolean hasLeftChild = leftIndex <= lastChild;
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boolean hasRightChild = rightIndex <= lastChild;
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int root = this.heap[rootIndex];
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if (hasRightChild) {
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int left = this.heap[leftIndex]; // get left child
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int right = this.heap[rightIndex]; // get right child
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if (left < right && left < root) {
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this.swap(leftIndex, rootIndex); //swap left with root
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this.heapSubtree(leftIndex, lastChild);
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} else if (right < root) {
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this.swap(rightIndex, rootIndex); //swap right with root
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this.heapSubtree(rightIndex, lastChild);
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}
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} else if (hasLeftChild) { // if no right, but has left
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int left = this.heap[leftIndex];
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if (left < root) {
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this.swap(leftIndex, rootIndex); //swap left and root
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this.heapSubtree(leftIndex, lastChild);
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}
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}
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}
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/**
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* Makes heap with {@code root} as root.
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*
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* @param root
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* index of root of heap
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*/
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private void makeMinHeap(int root) {
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int leftIndex = root * 2 + 1; // calculate index of left child
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int rightIndex = root * 2 + 2; // calculate index of left child
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boolean hasLeftChild = leftIndex < this.heap.length;
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boolean hasRightChild = rightIndex < this.heap.length;
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if (hasRightChild) { //if has left and right
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this.makeMinHeap(leftIndex);
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this.makeMinHeap(rightIndex);
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this.heapSubtree(root, this.heap.length - 1);
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} else if (hasLeftChild) {
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this.heapSubtree(root, this.heap.length - 1);
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}
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}
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/**
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* Gets the root of this.heap.
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*
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* @return root of this.heap
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*/
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private int getRoot() {
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this.swap(0, this.size - 1);
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this.size--;
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this.heapSubtree(0, this.size - 1);
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return this.heap[this.size]; // return old root
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}
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/**
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* Sorts this.heap with heap sort; displays ordered elements to console.
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*
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* @return {@code sorted} array of sorted elements
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*/
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public final int[] sort() {
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this.makeMinHeap(0); // make min heap using index 0 as root.
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int[] sorted = new int[this.size];
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int index = 0;
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while (this.size > 0) {
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int min = this.getRoot();
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sorted[index] = min;
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index++;
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}
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return sorted;
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}
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/**
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* Gets input to sort.
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*
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* @return unsorted array of integers to sort
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*/
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public static int[] getInput() {
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final int numElements = 6;
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int[] unsorted = new int[numElements];
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Scanner input = new Scanner(System.in);
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System.out.println("Enter any 6 Numbers for Unsorted Array : ");
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for (int i = 0; i < numElements; i++) {
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unsorted[i] = input.nextInt();
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}
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input.close();
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return unsorted;
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}
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/**
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* Prints elements in heap.
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*
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* @param heap
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* array representing heap
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*/
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public static void printData(int[] heap) {
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System.out.println("Sorted Elements:");
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for (int i = 0; i < heap.length; i++) {
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System.out.print(" " + heap[i] + " ");
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}
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}
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/**
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* Main method.
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*
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* @param args
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* the command line arguments
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*/
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public static void main(String[] args) {
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int[] heap = getInput();
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HeapSort data = new HeapSort(heap);
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int[] sorted = data.sort();
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printData(sorted);
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}
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}
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