| 1 | public class HeapSort { |
| 2 | public void sort(int arr[]) { |
| 3 | int n = arr.length; |
| 4 | |
| 5 | // Build heap (rearrange array) |
| 6 | for (int i = n / 2 - 1; i >= 0; i--) |
| 7 | heapify(arr, n, i); |
| 8 | |
| 9 | // One by one extract an element from heap |
| 10 | for (int i = n - 1; i > 0; i--) { |
| 11 | // Move current root to end |
| 12 | int temp = arr[0]; |
| 13 | arr[0] = arr[i]; |
| 14 | arr[i] = temp; |
| 15 | |
| 16 | // call max heapify on the reduced heap |
| 17 | heapify(arr, i, 0); |
| 18 | } |
| 19 | } |
| 20 | |
| 21 | // To heapify a subtree rooted with node i which is |
| 22 | // an index in arr[]. n is size of heap |
| 23 | void heapify(int arr[], int n, int i) { |
| 24 | int largest = i; // Initialize largest as root |
| 25 | int l = 2 * i + 1; // left = 2*i + 1 |
| 26 | int r = 2 * i + 2; // right = 2*i + 2 |
| 27 | |
| 28 | // If left child is larger than root |
| 29 | if (l < n && arr[l] > arr[largest]) |
| 30 | largest = l; |
| 31 | |
| 32 | // If right child is larger than largest so far |
| 33 | if (r < n && arr[r] > arr[largest]) |
| 34 | largest = r; |
| 35 | |
| 36 | // If largest is not root |
| 37 | if (largest != i) { |
| 38 | int swap = arr[i]; |
| 39 | arr[i] = arr[largest]; |
| 40 | arr[largest] = swap; |
| 41 | |
| 42 | // Recursively heapify the affected sub-tree |
| 43 | heapify(arr, n, largest); |
| 44 | } |
| 45 | } |
| 46 | |
| 47 | /* A utility function to print array of size n */ |
| 48 | static void printArr(int arr[]) { |
| 49 | int n = arr.length; |
| 50 | for (int i = 0; i < n; ++i){ |
| 51 | System.out.print(arr[i] + " "); |
| 52 | } |
| 53 | System.out.println(); |
| 54 | } |
| 55 | |
| 56 | public static void main(String[] args) { |
| 57 | int arr[] = { 4, 23, 6, 78, 1, 54, 231, 9, 12 }; |
| 58 | int n = arr.length; |
| 59 | System.out.println("The original Heap sort is: "); |
| 60 | printArr(arr); |
nothing calls this directly
no outgoing calls
no test coverage detected