Integer c3 = new Integer(100); Integer d1 = new Integer(100);
// false 两个对象不相等Integer c = 100; Integer c4 = 100;
// 如果数值在-128-127之间相同(取常量池中的对象),范围外面不同int b2 = 200; Integer b5 = new Integer(200);
// 相同String.class
"hello".getClass()
Class.forName("String")
String.class.getConstructor(String.class).newInstance("Hello");
getDeclaredField()
方法字段(Field)对象,然后再通过字段对象的setAccessible(true)
将其设置为可以访问Method m = str.getClass().getMethod("toUpperCase");
m.invoke(str)
import java.util.Comparator;
/**
* 排序器接口(策略模式: 将算法封装到具有共同接口的独立的类中使得它们可以相互替换)
* @author骆昊
*
*/
public interface Sorter {
/**
* 排序
* @param list 待排序的数组
*/
public <T extends Comparable<T>> void sort(T[] list);
/**
* 排序
* @param list 待排序的数组
* @param comp 比较两个对象的比较器
*/
public <T> void sort(T[] list, Comparator<T> comp);
}
/**
* 冒泡排序
*/
public class BubbleSorter implements Sorter {
@Override
public <T extends Comparable<T>> void sort(T[] list) {
boolean swapped = true;
for (int i = 1, len = list.length; i < len && swapped; ++i) {
swapped = false;
for (int j = 0; j < len - i; ++j) {
if (list[j].compareTo(list[j + 1]) > 0) {
T temp = list[j];
list[j] = list[j + 1];
list[j + 1] = temp;
swapped = true;
}
}
}
}
@Override
public <T> void sort(T[] list, Comparator<T> comp) {
boolean swapped = true;
for (int i = 1, len = list.length; i < len && swapped; ++i) {
swapped = false;
for (int j = 0; j < len - i; ++j) {
if (comp.compare(list[j], list[j + 1]) > 0) {
T temp = list[j];
list[j] = list[j + 1];
list[j + 1] = temp;
swapped = true;
}
}
}
}
}
public class MyUtil {
public static <T extends Comparable<T>> int binarySearch(T[] x, T key) {
return binarySearch(x, 0, x.length- 1, key);
}
// 使用循环实现的二分查找
public static <T> int binarySearch(T[] x, T key, Comparator<T> comp) {
int low = 0;
int high = x.length - 1;
while (low <= high) {
int mid = (low + high) >>> 1;
int cmp = comp.compare(x[mid], key);
if (cmp < 0) {
low= mid + 1;
}
else if (cmp > 0) {
high= mid - 1;
}
else {
return mid;
}
}
return -1;
}
// 使用递归实现的二分查找
private static<T extends Comparable<T>> int binarySearch(T[] x, int low, int high, T key) {
if(low <= high) {
int mid = low + ((high -low) >> 1);
if(key.compareTo(x[mid])== 0) {
return mid;
}
else if(key.compareTo(x[mid])< 0) {
return binarySearch(x,low, mid - 1, key);
}
else {
return binarySearch(x,mid + 1, high, key);
}
}
return -1;
}
}