归并排序和插入排序的结合版本 java

public class MergeAndInsert {
    public static void mergeAndInsertSort(int[] array, int from, int to) {
        if (to - from + 1 <= lg(array.length)) {
            insertionSort(array, from, to);
        } else {
            int middle = (int) Math.floor((to + from) / 2);
            mergeAndInsertSort(array, from, middle);
            mergeAndInsertSort(array, middle + 1, to);
            merge(array, from, middle, to);
        }
    }
    private static void insertionSort(int[] array, int from, int to) {
        for (int i = from + 1; i <= to; i++) {
            int key = array[i];
            int j = i - 1;
            while (j >= from && key < array[j]) {
                array[j + 1] = array[j];
                j--;
            }
            array[j + 1] = key;
        }
    }
    private static void merge(int[] array, int from, int middle, int to) {
        int[] leftArray = new int[middle - from + 1];
        int[] rightArray = new int[to - middle];
        for (int i = 0; i < leftArray.length; i++) {
            leftArray[i] = array[from + i];
        }
        for (int i = 0; i < rightArray.length; i++) {
            rightArray[i] = array[middle + i + 1];
        }
        int idxL = 0;
        int idxR = 0;
        for (int idx = from; idx <= to; idx++) {
            if (leftArray[idxL] <= rightArray[idxR]) {
                array[idx] = leftArray[idxL];
                idxL++;
                if (idxL == leftArray.length) {
                    copyRest(array, idx + 1, rightArray, idxR);
                    return;
                }
            } else {
                array[idx] = rightArray[idxR];
                idxR++;
                if (idxR == rightArray.length) {
                    copyRest(array, idx + 1, leftArray, idxL);
                    return;
                }
            }
        }
    }
    /**
     * 把oriArr数组中的内容从oIdex开始复制到desArr中，从dIdx开始复制
     */
    private static void copyRest(int[] desArr, int dIdx, int[] oriArr, int oIdx) {
        for (; oIdx < oriArr.length; oIdx++) {
            desArr[dIdx] = oriArr[oIdx];
            dIdx++;
        }
    }
     //计算以2为底的对数
    private static double lg(double n) {
        return Math.log(n) / Math.log(2);
    }
}