package com.gftech.cloud;
import com.gftech.cloud.exceptions.ProductError;
import com.google.common.base.*;
import com.google.common.collect.*;
import com.google.common.primitives.Ints;
import com.sinsz.c.exception.SystemException;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import javax.annotation.Nullable;
import java.time.Duration;
import java.time.Instant;
import java.util.*;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import static com.google.common.collect.ImmutableList.of;
/**
- @author xxx
- @date 2018/9/6 9:50
*/
@RunWith(SpringRunner.class)
@SpringBootTest
public class TestGuava {
@Test
public void test() {
Stream stream1 = Stream.iterate(10, n -> n + 2).limit(3);
Stream stream2 = Stream.generate(() -> UUID.randomUUID().toString()).limit(3);
Stream.concat(stream1, stream2).forEach(System.out::println); //拼接两个流
List list = Arrays.asList(1, 2, 3, 4, 5);
Instant start = Instant.now(); //时间戳
Stream stream = list.stream(); //串行流
Instant end = Instant.now();
System.out.println(Duration.between(start, end).getSeconds());
Instant start1 = Instant.now();
Stream parallelStream = list.parallelStream(); //并行流
Instant end1 = Instant.now();
System.out.println(Duration.between(start1, end1).getSeconds());
List strList = Stream.iterate("1", n -> n + "2").limit(10).collect(Collectors.toList());
strList.stream().mapToInt(Integer::valueOf).forEach(System.out::println);//转换流为数字类型
strList.stream().map(StringBuilder::new).collect(Collectors.joining(",")); //转换流为字符串类型，按照joining收集器的条件拼接
Stream stream = Stream.of("i", "love", "programing");
stream.flatMap(c -> Stream.of(c.split(""))).forEach(System.out::println); //拆分流内容
stream.filter(c -> c.contains("o")).forEach(System.out::println); //筛选掉流中不符合条件的
boolean b1 = stream.anyMatch(String::isEmpty); //部分符合条件返回真
boolean b2 = stream.allMatch(String::isEmpty); //全部符合条件返回真
boolean b3 = stream.noneMatch(String::isEmpty); //全部不符合条件返回真
Stream integers = Stream.of(1, 2, 3, 4, 5, 5, 4, 3, 2, 1);
Integer sum = integers.reduce(0, (m, n) -> m + n); //计算数字流
Integer integer = integers.distinct().sorted(Integer::compareTo).reduce(0, (m, n) -> m + n);//去重排序计算数字流
integers.distinct().sorted(Comparator.reverseOrder()).forEach(System.out::println);//倒序排序
Function before = n -> n + 10;
Function after = n -> n * n;
Integer integer = before.andThen(after).apply(10);//先执行before，在执行after
Integer integer1 = before.compose(after).apply(10);//先执行after，在执行before
Integer integer2 = before.apply(10);
Integer integer3 = after.apply(10);
Predicate predicate = str -> str.equals("miao");
Predicate predicate1 = str -> str.startsWith("m");
boolean b = predicate.test("m"); //满足条件返回真
boolean b1 = predicate.and(predicate1).test("m"); //predicate和predicate1满足条件返回真
boolean b2 = predicate.negate().test("xxx"); //不满足条件返回真
boolean b3 = predicate.or(predicate1).test("m"); //predicate或者predicate1满足条件返回真
StringBuilder sb = new StringBuilder();
Joiner.on("-").skipNulls().appendTo(sb, "1", "2"); //谷歌拼接字符串，为空的=不拼接
Joiner.on("-").useForNull("noon").appendTo(sb, null, 1); //谷歌拼接字符串，为空的=noon，继续拼接
String str = "a, , b, , c, , d";
Splitter.on(",").trimResults().omitEmptyStrings().split(str).forEach(System.out::println);//谷歌去空去空字符串分隔字符串、
List list = new ArrayList<>();
list.add("a");
list.add("b");
list.add("c");
list.add("d");
Multiset multiset = LinkedHashMultiset.create(list);
multiset.setCount("e", 10); //添加或者删除e,个数补充到10个
Integer integer = multiset.count("e"); //计数e的次数
Integer integer1 = multiset.elementSet().size(); //集合去重后计算个数
multiset.clear(); //集合清空
Integer integer2 = multiset.size();
//如果你想防止出现键值对，可以用HashMultimap；如果你需要键值对按照自然顺序排列，你可以使用TreeMultimap；甚至你想按插入顺序来遍历集合，LinkedHashMultimap可以满足你的需求
Multimap multimap = HashMultimap.create();
multimap.put("a", 1);
multimap.put("a", 2);
multimap.put("a", 3);
Collection collection = multimap.get("a"); //将key为a的map转成数组
List list = new ArrayList<>(collection); //将数组转换成List集合
Map> map = multimap.asMap(); //将multimap转换成Map（这个map可能是一对多的）
Integer integer = multimap.keySet().size(); //去重计算key的个数
List together = Stream.of(Arrays.asList(1, 2, 3, 4), Arrays.asList(5, 6, 7, 8))
.flatMap(Collection::stream).collect(Collectors.toList()); //flatmap将流扁平化，对流进行各种操作
List list = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8);
boolean b = Arrays.equals(list.toArray(), together.toArray());
String str = CharMatcher.digit().retainFrom("wangxiaoying123"); //获取字符串中的数字
String s = CharMatcher.digit().removeFrom("wangxiaoying123"); //获取字符串中的字母
String s1 = "f,ff,fff,,o,oo,,,ooo";
Iterable iterable = Splitter.on(",").omitEmptyStrings().trimResults().split(s1); //分隔字符串，连续出现的分隔符去重
int[] array = {1, 2, 3, 4, 5, 6};
boolean boo = Ints.contains(array, 4);
int indexOf = Ints.indexOf(array, 4);
int max = Ints.max(array);
int min = Ints.min(array);
int[] array1 = {7, 8, 9, 0};
int[] cancat = Ints.concat(array, array1);
Map map = new HashMap<>();
map.put("1", 1);
map.put("2", 2);
Map changeMap = Maps.transformValues(map, new Function() { //对map中每一个key对应的value值进行操作，function就是从一个对象到另外一个对象的转换变形
double d = 1.10;
@Nullable
@Override
public Object apply(@Nullable Object input) {
Integer i = (Integer) input;
return d * i;
}
});
Map map1 = new HashMap<>();
map1.put("map1", "map1");
map1.put("map2", "map2");
Map map2 = new HashMap<>();
map2.put("map1", "map2");
map2.put("map2", "map2");
MapDifference mapDifference = Maps.difference(map1, map2); //map集合的比较
boolean b = mapDifference.areEqual(); //是否完全一致，包括键和值
Map m1 = mapDifference.entriesOnlyOnLeft(); //键只存在于左边Map的映射项
Map m2 = mapDifference.entriesOnlyOnRight(); //键只存在于右边Map的映射项
Map m3 = mapDifference.entriesDiffering(); //键相同但是值不同值映射项
Map m4 = mapDifference.entriesInCommon(); //两个Map中都有的映射项，包括匹配的键与值
String s = Preconditions.checkNotNull(null, new SystemException(ProductError.APP_DOCTOR_ERROR_020));//对象为空时显示指定的错误信息
List list = Arrays.asList("1","2","3","4","5","6","7");
List> partition = Lists.partition(list, 2); //Guava对集合进行分页分条数
ImmutableList immutablePeople = copyOf(existingPeople); //Guava将集合转成不变集合
List list = of(); //初始化集合为不变集合
BiMap upperToSmall = HashBiMap.create();
upperToSmall.put("A", "a");
upperToSmall.put("B", "b");
upperToSmall.put("C", "c");
BiMap smallToUpper = upperToSmall.inverse(); //BiMap可以使map中的键值反转，这是一个视图,这意味着,在对反转后的map中的任何增删改操作都会影响原来的map
//BiMap.forcePut(key, value)来实现重复添加value的方法
NutMap map = new NutMap(); //Mutmap获取key值指定其value值类型，简化一次类型转换
map.put("name", "bushi");
map.put("age", 63);
map.put("sex", true);
map.put("time", new Date());
System.out.println(map.getString("name"));
System.out.println(map.getInt("age"));
System.out.println(map.getBoolean("sex"));
System.out.println(map.getTime("time"));
BigDecimal fee = new BigDecimal(priceL).divide(new BigDecimal(1), 2, BigDecimal.ROUND_HALF_UP);计算小数，四舍五入
DecimalFormat df=new DecimalFormat("###,###");//数字格式化
System.out.println("这是我的输出");
}
}
/**
* 对Stream流里面的元素去重
*/
public static Predicate distinctByKey(Function keyExtractor) {
Map seen = new ConcurrentHashMap<>();
return t -> seen.putIfAbsent(keyExtractor.apply(t), Boolean.TRUE) == null;
}
flatMap的stream运行流程.png