import org.junit.Test;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.IntSummaryStatistics;
import java.util.List;
import java.util.function.Consumer;
import java.util.function.Predicate;
import java.util.function.Supplier;
import java.util.stream.Collectors;
public class LambdaTest {
@Test
public void test1() {
// 用匿名内部类的方式来创建线程
new Thread(new Runnable() {
@Override
public void run() {
System.out.println("用匿名内部类的方式来创建线程!");
}
}).start();
// 使用Lambda来创建线程
new Thread(() -> System.out.println("使用Lambda来创建线程!")).start();
Runnable runnable = () -> System.out.println("Lambda语法实现runnable");
new Thread(runnable).start();
List<String> items = new ArrayList<>();
items.add("A");
items.add("B");
items.add("C");
items.add("D");
items.add("E");
//lambda
//Output : A,B,C,D,E
items.forEach(item->System.out.println(item));
}
@Test
public void test2(){
// Consumer 一个入参,无返回值
Consumer<String> consumer = s -> System.out.println(s);
consumer.accept("Lambda语法Consumer案例!");
Consumer<String> consumer1 = System.out::println;
consumer.accept("Lambda语法Consumer案例2!");
// Supplier 无入参,有返回值
Supplier<String> supplier = () -> "Lambda语法Supplier案例!";
String s = supplier.get();
System.out.println(s);
//Supplier<Category> categorySupplier = Category::new;
//System.out.println(categorySupplier);
}
@Test
public void test3(){
//lambda表达式和函数式接口Predicate
List<String> languages = Arrays.asList("Java", "Scala", "C++", "Haskell", "Lisp");
System.out.println("Languages which starts with J :");
//调用自己方法filter 第一个参数为集合,第二个过滤条件
filter(languages, (str) -> ((String)str).startsWith("J"));
System.out.println("Languages which ends with a ");
filter(languages, (str) -> ((String)str).endsWith("a"));
System.out.println("Print all languages :");
filter(languages, (str) -> true);
System.out.println("Print no language : ");
filter(languages, (str) -> false);
System.out.println("streamFilter Test : ");
testFilter(languages);
//map
}
public static void filter(List<String> names, Predicate condition) {
/* names.forEach(s -> {
if (condition.test(s)){
System.out.println(s);
}
});*/
//filter()方法是获得一个新的列表,且其每个元素符合过滤原则
names.stream().filter(condition).forEach(System.out::println);
}
//lambda表达式中加入Predicate
public static void testFilter(List<String> names){
Predicate<String> startsWithJ = (n) -> n.startsWith("J");
Predicate<String> fourLetterLong = (n) -> n.length() == 4;
names.stream()
.filter(startsWithJ.and(fourLetterLong)) //filter 验证是否符合该过滤条件 and or ..
.forEach((n) -> System.out.print("nName, which starts with 'J' and four letter long is : " + n));
}
@Test
public void strTest(){
List<String> strList = Arrays.asList("abc", "bcd", "defg", "jk");
// 创建一个字符串列表,每个字符串长度大于2 filter()生成一个新的集合
List<String> filtered = strList.stream().filter(x -> x.length()> 2).collect(Collectors.toList());
System.out.printf("Original List : %s, filtered list : %s %n", strList, filtered);
}
@Test
public void mapTest(){
//使用lambda表达式的Map和Reduce示例
List<Integer> costBeforeTax = Arrays.asList(100, 200, 300, 400, 500);
//map替换array值并遍历
costBeforeTax.stream().map((cost) -> cost + .12*cost).forEach(System.out::println);
//使用lambda表达式的Map示例 map替换值之后 reduce计算list的总和
double bill = costBeforeTax.stream().map((cost) -> cost + .12*cost)
.reduce((sum, cost) -> sum + cost).get();
System.out.println("总和:"+bill);
}
//流的distinct()方法去重
@Test
public void distinctTest(){
// 用所有不同的数字创建一个正方形列表
List<Integer> numbers = Arrays.asList(9, 10, 3, 4, 7, 3, 4);
List<Integer> distinct = numbers.stream().distinct().collect(Collectors.toList());
System.out.printf("Original List : %s, Square Without duplicates : %s %n", numbers, distinct);
}
//集合操作
@Test
public void operateTest(){
//获取数字的个数、最小值、最大值、总和以及平均值
List<Integer> primes = Arrays.asList(2, 3, 5, 7, 11, 13, 17, 19, 23, 29);
IntSummaryStatistics stats = primes.stream().mapToInt((x) -> x).summaryStatistics();
System.out.println("Highest prime number in List : " + stats.getMax());
System.out.println("Lowest prime number in List : " + stats.getMin());
System.out.println("Sum of all prime numbers : " + stats.getSum());
System.out.println("Average of all prime numbers : " + stats.getAverage());
}
}