import com.google.gson.Gson;
import org.junit.Test;
import java.util.Arrays;
import java.util.IntSummaryStatistics;
import java.util.List;
import java.util.stream.Collectors;
/**
* https://www.cnblogs.com/coprince/p/8692972.html
*/
public class LambdaTest {
@Test
public void testLambdaTest(){
//用lambda表达式实现Runnable
new Thread( () -> System.out.println("In Java8, Lambda expression rocks !!") ).start();
/**
* In Java8, Lambda expression rocks !!
*/
List<String> features = Arrays.asList("Lambdas", "Default Method", "Stream API", "Date and Time API");
//Comparator
// List<String> featureSort = features.stream().sorted((a,b) -> (a.compareTo(b))).collect(Collectors.toList());
List<String> featureSort = features.stream().sorted((a,b) -> (a.length() - b.length())).collect(Collectors.toList());
System.out.println("featureSort=" + new Gson().toJson(featureSort));
//使用lambda表达式对列表进行迭代
// features.forEach(n -> System.out.println(n));
// 使用Java 8的方法引用更方便,方法引用由::双冒号操作符标示,
// 看起来像C++的作用域解析运算符 方法引用
features.forEach(System.out::println);
/**
* Lambdas
* Default Method
* Stream API
* Date and Time API
*/
//使用lambda表达式和函数式接口Predicate 函数式编程 Predicate接口非常适用于做过滤。
//Java 8中使用lambda表达式的Map和Reduce示例
// 使用lambda表达式
List<Integer> costBeforeTax = Arrays.asList(100, 200, 300, 400, 500);
costBeforeTax.stream().map((cost) -> cost + 0.12*cost).forEach(System.out::println);
/**
* 112.0
* 224.0
* 336.0
* 448.0
* 560.0
*/
//Java 8中使用lambda表达式的Map和Reduce示例
// 新方法:
List<Integer> costBeforeTax2 = Arrays.asList(100, 200, 300, 400, 500);
double bill = costBeforeTax2.stream().map((cost) -> cost + 0.12*cost).reduce((sum, cost) -> sum + cost).get();
System.out.println("Total : " + bill);
/**
* Total : 1680.0
*/
//通过过滤创建一个String列表
// 创建一个字符串列表,每个字符串长度大于2
List<String> filtered = features.stream().filter(x -> x.length()> 2).collect(Collectors.toList());
System.out.printf("Original List : %s, filtered list : %s %n", features, filtered);
/**
* Original List : [Lambdas, Default Method, Stream API, Date and Time API], filtered list : [Lambdas, Default Method, Stream API, Date and Time API]
*/
//对列表的每个元素应用函数
// 将字符串换成大写并用逗号链接起来
List<String> G7 = Arrays.asList("USA", "Japan", "France", "Germany", "Italy", "U.K.","Canada");
String G7Countries = G7.stream().map(x -> x.toUpperCase()).collect(Collectors.joining(", "));
System.out.println(G7Countries);
/**
* USA, JAPAN, FRANCE, GERMANY, ITALY, U.K., CANADA
*/
//复制不同的值,创建一个子列表
// 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().map( i -> i*i).distinct().collect(Collectors.toList());
System.out.printf("Original List : %s, Square Without duplicates : %s %n", numbers, distinct);
/**
* Original List : [9, 10, 3, 4, 7, 3, 4], Square Without duplicates : [81, 100, 9, 16, 49]
*/
//计算集合元素的最大值、最小值、总和以及平均值
//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());
/**
* Highest prime number in List : 29
* Lowest prime number in List : 2
* Sum of all prime numbers : 129
* Average of all prime numbers : 12.9
*/
}
}