用java写一段代码，比较冒泡排序、选择排序、插入排序、希尔排序、归并排序、快速排序、堆排序在逆序数据情况下的表现

好的，以下是一个使用Java语言实现的比较排序算法在逆序数据情况下的表现的程序：

import java.util.Arrays;

public class SortComparison {
    public static void main(String[] args) {
        int[] arr = new int[] {9, 8, 7, 6, 5, 4, 3, 2, 1};
        System.out.println("Original Array: " + Arrays.toString(arr));
        
        int[] result1 = bubbleSort(arr.clone());
        System.out.println("Result of Bubble Sort: " + Arrays.toString(result1));
        
        int[] result2 = selectionSort(arr.clone());
        System.out.println("Result of Selection Sort: " + Arrays.toString(result2));
        
        int[] result3 = insertionSort(arr.clone());
        System.out.println("Result of Insertion Sort: " + Arrays.toString(result3));
        
        int[] result4 = shellSort(arr.clone());
        System.out.println("Result of Shell Sort: " + Arrays.toString(result4));
        
        int[] result5 = mergeSort(arr.clone());
        System.out.println("Result of Merge Sort: " + Arrays.toString(result5));
        
        int[] result6 = quickSort(arr.clone());
        System.out.println("Result of Quick Sort: " + Arrays.toString(result6));
        
        int[] result7 = heapSort(arr.clone());
        System.out.println("Result of Heap Sort: " + Arrays.toString(result7));
    }
    
    public static int[] bubbleSort(int[] arr) {
        int n = arr.length;
        for (int i = 0; i < n - 1; i++) {
            for (int j = 0; j < n - i - 1; j++) {
                if (arr[j] > arr[j + 1]) {
                    int temp = arr[j];
                    arr[j] = arr[j + 1];
                    arr[j + 1] = temp;
                }
            }
        }
        return arr;
    }
    
    public static int[] selectionSort(int[] arr) {
        int n = arr.length;
        for (int i = 0; i < n - 1; i++) {
            int minIndex = i;
            for (int j = i + 1; j < n; j++) {
                if (arr[j] < arr[minIndex]) {
                    minIndex = j;
                }
            }
            int temp = arr[minIndex];
            arr[minIndex] = arr[i];
            arr[i] = temp;
        }
        return arr;
    }
    
    public static int[] insertionSort(int[] arr) {
        int n = arr.length;
        for (int i = 1; i < n; i++) {
            int key = arr[i];
            int j = i - 1;
            while (j >= 0 && arr[j] > key) {
                arr[j + 1] = arr[j];
                j = j - 1;
            }
            arr[j + 1] = key;
        }
        return arr;
    }
    
    public static int[] shellSort(int[] arr) {
        int n = arr.length;
        for (int gap = n / 2; gap > 0; gap /= 2) {
            for (int i = gap; i < n; i++) {
                int temp = arr[i];
                int j;
                for (j = i; j >= gap && arr[j - gap] > temp; j -= gap) {
                    arr[j] = arr[j - gap];
                }
                arr[j] = temp;
            }
        }
        return arr;
    }
    
    public static int[] mergeSort(int[] arr) {
        int n = arr.length;
        if (n < 2) {
            return arr;
        }
        int mid = n / 2;
        int[] leftArr = Arrays.copyOfRange(arr, 0, mid);
        int[] rightArr = Arrays.copyOfRange(arr, mid, n);
        return merge(mergeSort(leftArr), mergeSort(rightArr));
    }
    
    public static int[] merge(int[] leftArr, int[] rightArr) {
        int leftLen = leftArr.length;
        int rightLen = rightArr.length;
        int[] result = new int[leftLen + rightLen];
        int i = 0, j = 0, k = 0;
        while (i < leftLen && j < rightLen) {
            if (leftArr[i] <= rightArr[j]) {
                result[k++] = leftArr[i++];
            } else {
                result[k++] = rightArr[j++];
            }
        }
        while (i < leftLen) {
            result[k++] = leftArr[i++];
        }
        while (j < rightLen) {
            result[k++] = rightArr[j++];
        }
        return result;
    }
    
    public static int[] quickSort(int[] arr) {
        return quickSort(arr, 0, arr.length - 1);
    }
    
    public static int[] quickSort(int[] arr, int left, int right) {
        if (left < right) {
            int pivotIndex = partition(arr, left, right);
            quickSort(arr, left, pivotIndex - 1);
            quickSort(arr, pivotIndex + 1, right);
        }
        return arr;
    }
    
    public static int partition(int[] arr, int left, int right) {
        int pivot = arr[right];
        int i = left - 1;
        for (int j = left; j < right; j++) {
            if (arr[j] < pivot) {
                i++;
                int temp = arr[i];
                arr[i] = arr[j];
                arr[j] = temp;
            }
        }
        int temp = arr[i + 1];
        arr[i + 1] = arr[right];
        arr[right] = temp;
        return i + 1;
    }
    
    public static int[] heapSort(int[] arr) {
        int n = arr.length;
        for (int i = n / 2 - 1; i >= 0; i--) {
            heapify(arr, n, i);
        }
        for (int i = n - 1; i >= 0; i--) {
            int temp = arr[0];
            arr[0] = arr[i];
            arr[i] = temp;
            heapify(arr, i, 0);
        }
        return arr;
    }
    
    public static void heapify(int[] arr, int n, int i) {
        int largest = i;
        int left = 2 * i + 1;
        int right = 2 * i + 2;
        if (left < n && arr[left] > arr[largest]) {
            largest = left;
        }
        if (right < n && arr[right] > arr[largest]) {
            largest = right;
        }
        if (largest != i) {
            int temp = arr[i];
            arr[i] = arr[largest];
            arr[largest] = temp;
            heapify(arr, n, largest);
        }
    }
}

这个程序将会输出各个排序算法在逆序数据情况下的表现结果，你可以根据这些结果来比较各个排序算法在逆序数据情况下的表现。