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package class06;
import java.util.Arrays;
import java.util.PriorityQueue;
public class Code03_HeapSort {
// 堆排序额外空间复杂度O(1)
public static void heapSort(int[] arr) {
if (arr == null || arr.length < 2) {
return;
}
// O(N*logN)
// for (int i = 0; i < arr.length; i++) { // O(N)
// heapInsert(arr, i); // O(logN)
// }
// O(N)
for (int i = arr.length - 1; i >= 0; i--) {
heapify(arr, i, arr.length);
}
int heapSize = arr.length;
swap(arr, 0, --heapSize);
// O(N*logN)
while (heapSize > 0) { // O(N)
heapify(arr, 0, heapSize); // O(logN)
swap(arr, 0, --heapSize); // O(1)
}
}
// arr[index]刚来的数，往上
public static void heapInsert(int[] arr, int index) {
while (arr[index] > arr[(index - 1) / 2]) {
swap(arr, index, (index - 1) / 2);
index = (index - 1) / 2;
}
}
// arr[index]位置的数，能否往下移动
public static void heapify(int[] arr, int index, int heapSize) {
int left = index * 2 + 1; // 左孩子的下标
while (left < heapSize) { // 下方还有孩子的时候
// 两个孩子中，谁的值大，把下标给largest
// 1）只有左孩子，left -> largest
// 2) 同时有左孩子和右孩子，右孩子的值<= 左孩子的值，left -> largest
// 3) 同时有左孩子和右孩子并且右孩子的值> 左孩子的值， right -> largest
int largest = left + 1 < heapSize && arr[left + 1] > arr[left] ? left + 1 : left;
// 父和较大的孩子之间，谁的值大，把下标给largest
largest = arr[largest] > arr[index] ? largest : index;
if (largest == index) {
break;
}
swap(arr, largest, index);
index = largest;
left = index * 2 + 1;
}
}
public static void swap(int[] arr, int i, int j) {
int tmp = arr[i];
arr[i] = arr[j];
arr[j] = tmp;
}
// for test
public static void comparator(int[] arr) {
Arrays.sort(arr);
}
// for test
public static int[] generateRandomArray(int maxSize, int maxValue) {
int[] arr = new int[(int) ((maxSize + 1) * Math.random())];
for (int i = 0; i < arr.length; i++) {
arr[i] = (int) ((maxValue + 1) * Math.random()) - (int) (maxValue * Math.random());
}
return arr;
}
// for test
public static int[] copyArray(int[] arr) {
if (arr == null) {
return null;
}
int[] res = new int[arr.length];
for (int i = 0; i < arr.length; i++) {
res[i] = arr[i];
}
return res;
}
// for test
public static boolean isEqual(int[] arr1, int[] arr2) {
if ((arr1 == null && arr2 != null) || (arr1 != null && arr2 == null)) {
return false;
}
if (arr1 == null && arr2 == null) {
return true;
}
if (arr1.length != arr2.length) {
return false;
}
for (int i = 0; i < arr1.length; i++) {
if (arr1[i] != arr2[i]) {
return false;
}
}
return true;
}
// for test
public static void printArray(int[] arr) {
if (arr == null) {
return;
}
for (int i = 0; i < arr.length; i++) {
System.out.print(arr[i] + " ");
}
System.out.println();
}
// for test
public static void main(String[] args) {
// 默认小根堆
PriorityQueue<Integer> heap = new PriorityQueue<>();
heap.add(6);
heap.add(8);
heap.add(0);
heap.add(2);
heap.add(9);
heap.add(1);
while (!heap.isEmpty()) {
System.out.println(heap.poll());
}
int testTime = 500000;
int maxSize = 100;
int maxValue = 100;
boolean succeed = true;
for (int i = 0; i < testTime; i++) {
int[] arr1 = generateRandomArray(maxSize, maxValue);
int[] arr2 = copyArray(arr1);
heapSort(arr1);
comparator(arr2);
if (!isEqual(arr1, arr2)) {
succeed = false;
break;
}
}
System.out.println(succeed ? "Nice!" : "Fucking fucked!");
int[] arr = generateRandomArray(maxSize, maxValue);
printArray(arr);
heapSort(arr);
printArray(arr);
}
}