/*** @author 陈杨*/@SpringBootTest
@RunWith(SpringRunner.class)
public class CollectorsDetail {private List<String> names;private List<Student> students;private List<List<String>> snames;@Beforepublic void init() {names = Arrays.asList("Kirito", "Asuna", "Sinon", "Yuuki", "Alice");snames = Arrays.asList(Collections.singletonList("Kirito"), Collections.singletonList("Asuna"),Collections.singletonList("Sinon"), Collections.singletonList("Yuuki"),Collections.singletonList("Alice"));students = new Students().init();}@Testpublic void testCollectorsDetail() {

一、静态工厂类Collectors 实现方式

//    一、静态工厂类Collectors 实现方式//    Collectors 静态工厂类   最终由CollectorImpl实现
//       1、 通过CollectorImpl实现
//       2、 通过reducing()实现---> reducing()底层由CollectorImpl实现//    Collectors.toList()  是 Collectors.toCollection()的一种具化表现形式
//    Collectors.joining() 使用StringBuilder.append 拼接字符串

二、静态工厂类Collectors 常用收集器

//    二、静态工厂类Collectors 常用收集器/*返回一个（不可修改）unmodifiable List的ArrayList  按照相遇的顺序encounter order
@since 10
@SuppressWarnings("unchecked")
public static <T>Collector<T, ?, List<T>> toUnmodifiableList() {return new CollectorImpl<>((Supplier<List<T>>) ArrayList::new, List::add,(left, right) -> { left.addAll(right); return left; },list -> (List<T>)List.of(list.toArray()),CH_NOID);
}*//*返回一个（不可修改）unmodifiable Set的HashSet 无序
@since 10
@SuppressWarnings("unchecked")
public static <T>Collector<T, ?, Set<T>> toUnmodifiableSet() {return new CollectorImpl<>((Supplier<Set<T>>) HashSet::new, Set::add,(left, right) -> {if (left.size() < right.size()) {right.addAll(left); return right;} else {left.addAll(right); return left;}},set -> (Set<T>)Set.of(set.toArray()),CH_UNORDERED_NOID);
}
*//*返回一个flatMapping扁平化mapper处理后 由downstream收集的 累加器处理的结果合并  单线程
@since 9
public static <T, U, A, R>Collector<T, ?, R> flatMapping(Function<? super T, ? extends Stream<? extends U>> mapper,Collector<? super U, A, R> downstream) {BiConsumer<A, ? super U> downstreamAccumulator = downstream.accumulator();return new CollectorImpl<>(downstream.supplier(),(r, t) -> {try (Stream<? extends U> result = mapper.apply(t)) {if (result != null)result.sequential().forEach(u -> downstreamAccumulator.accept(r, u));}},downstream.combiner(), downstream.finisher(),downstream.characteristics());
}*//*对符合Predicate预期结果 进行过滤filtering 使用downstream 收集元素
@since 9
public static <T, A, R>Collector<T, ?, R> filtering(Predicate<? super T> predicate,Collector<? super T, A, R> downstream) {BiConsumer<A, ? super T> downstreamAccumulator = downstream.accumulator();return new CollectorImpl<>(downstream.supplier(),(r, t) -> {if (predicate.test(t)) {downstreamAccumulator.accept(r, t);}},downstream.combiner(), downstream.finisher(),downstream.characteristics());
}*//*使用Map映射key-->keyMapper-->Key value-->valueMapper-->Value对映射后的结果进行组装entrySet-->Map<Key,Value> (unmodifiable Map)
@since 10
@SuppressWarnings({"rawtypes", "unchecked"})
public static <T, K, U>Collector<T, ?, Map<K,U>> toUnmodifiableMap(Function<? super T, ? extends K> keyMapper,Function<? super T, ? extends U> valueMapper) {Objects.requireNonNull(keyMapper, "keyMapper");Objects.requireNonNull(valueMapper, "valueMapper");return collectingAndThen(toMap(keyMapper, valueMapper),map -> (Map<K,U>)Map.ofEntries(map.entrySet().toArray(new Map.Entry[0])));
}*//*使用Map映射key-->keyMapper-->Key value-->valueMapper-->ValuemergeFunction 对相同key 映射后的进行Value 合并操作对映射后的结果进行组装entrySet-->Map<Key,Value> (unmodifiable Map)@since 10
@SuppressWarnings({"rawtypes", "unchecked"})
public static <T, K, U>Collector<T, ?, Map<K,U>> toUnmodifiableMap(Function<? super T, ? extends K> keyMapper,Function<? super T, ? extends U> valueMapper,BinaryOperator<U> mergeFunction) {Objects.requireNonNull(keyMapper, "keyMapper");Objects.requireNonNull(valueMapper, "valueMapper");Objects.requireNonNull(mergeFunction, "mergeFunction");return collectingAndThen(toMap(keyMapper, valueMapper, mergeFunction, HashMap::new),map -> (Map<K,U>)Map.ofEntries(map.entrySet().toArray(new Map.Entry[0])));
}*/

//    Collectors 收集器
System.out.println("-----------------------------------------\n");//    使用ArrayList集合 按照流中元素排列先后顺序 进行添加操作
List<String> unmodifiableList = names.stream().collect(Collectors.toUnmodifiableList());
System.out.println(unmodifiableList);
System.out.println("---------------------------------------\n");//    使用HashSet集合 对流中元素顺序 进行添加操作
Set<String> unmodifiableSet = names.stream().collect(Collectors.toUnmodifiableSet());
System.out.println(unmodifiableSet);
System.out.println("---------------------------------------\n");//    将集合扁平化展开 对其中的字符串的每个字母 进行大写转换 使用ArrayList对转换后的结果进行收集
List<String> strings = snames.stream().collect(Collectors.flatMapping(list -> list.stream().map(String::toUpperCase), Collectors.toList()));
System.out.println(strings);
System.out.println("---------------------------------------\n");//    对流中元素进行遍历 对符合预期要求的元素 使用ArrayList集合存放
List<String> filteringPredicate = names.stream().collect(Collectors.filtering("Kirito"::equals,Collectors.toList()));
System.out.println(filteringPredicate);
System.out.println("---------------------------------------\n");//    对流中元素进行遍历  对key-->keyMapper value-->valueMapper 映射 得到Map集合
Map<Integer, List<Student>> listMap = students.stream().collect(Collectors.toUnmodifiableMap(Student::getId, student -> {List<Student> stus = new ArrayList<>();stus.add(student);return stus;}));System.out.println(listMap);
System.out.println("---------------------------------------\n");//    对流中元素进行遍历 对key-->keyMapper-->Key value-->valueMapper-->Value 映射
//    对满足相同Key的元素 Value进行合并
Map<Integer, String> lengthName = names.stream().collect(Collectors.toUnmodifiableMap(String::length,String::toString, (str1, str2) -> str1 + "\t" + str2));
System.out.println(lengthName);
System.out.println("---------------------------------------\n");

三、groupingBy分组

//    三、groupingBy分组//    分组 groupingBy//    对T元素按 key进行分组 --> 分组的依据 classifier--> 分组后的集合 value--> 得到 Map<key,value>
/*
Returns a {@code Collector} implementing a "group by" operation on
input elements of type {@code T}, grouping elements according to aclassification function, and returning the results in a {@code Map}.<p>The classification function maps elements to some key type {@code K}.
The collector produces a {@code Map<K, List<T>>} whose keys are the
values resulting from applying the classification function to the input
elements, and whose corresponding values are {@code List}s containing theinput elements which map to the associated key under the classification
function.<p>There are no guarantees on the type, mutability, serializability, or
thread-safety of the {@code Map} or {@code List} objects returned.*//*按照key对T进行classifier分组使用List集合收集分组结果  单线程 线程安全
public static <T, K> Collector<T, ?, Map<K, List<T>>>
groupingBy(Function<? super T, ? extends K> classifier) {return groupingBy(classifier, toList());
}*//*按照key对T进行classifier分组使用自定义收集器downstream 收集分组结果  单线程 线程安全
public static <T, K, A, D>Collector<T, ?, Map<K, D>> groupingBy(Function<? super T, ? extends K> classifier,Collector<? super T, A, D> downstream) {return groupingBy(classifier, HashMap::new, downstream);
}*//*按照key对T进行classifier分组使用自定义mapFactory  重置downstream的CollectorImpl实现使用自定义收集器downstream 收集分组结果  单线程 线程安全
public static <T, K, D, A, M extends Map<K, D>>
Collector<T, ?, M> groupingBy(Function<? super T, ? extends K> classifier,Supplier<M> mapFactory,Collector<? super T, A, D> downstream) {Supplier<A> downstreamSupplier = downstream.supplier();BiConsumer<A, ? super T> downstreamAccumulator = downstream.accumulator();BiConsumer<Map<K, A>, T> accumulator = (m, t) -> {K key = Objects.requireNonNull(classifier.apply(t), "element cannot be mapped to a null key");A container = m.computeIfAbsent(key, k -> downstreamSupplier.get());downstreamAccumulator.accept(container, t);};BinaryOperator<Map<K, A>> merger = Collectors.<K, A, Map<K, A>>mapMerger(downstream.combiner());@SuppressWarnings("unchecked")Supplier<Map<K, A>> mangledFactory = (Supplier<Map<K, A>>) mapFactory;//    不进行强制类型转换  重构CollectorImpl实现if (downstream.characteristics().contains(Collector.Characteristics.IDENTITY_FINISH)) {return new CollectorImpl<>(mangledFactory, accumulator, merger, CH_ID);}else {//    进行强制类型转换  重构CollectorImpl实现@SuppressWarnings("unchecked")Function<A, A> downstreamFinisher = (Function<A, A>) downstream.finisher();Function<Map<K, A>, M> finisher = intermediate -> {intermediate.replaceAll((k, v) -> downstreamFinisher.apply(v));@SuppressWarnings("unchecked")M castResult = (M) intermediate;return castResult;};return new CollectorImpl<>(mangledFactory, accumulator, merger, finisher, CH_NOID);}
}*/

//    分组
System.out.println("-----------------------------------------\n");//    select * from students group by sex ;
Map<String, List<Student>> sexStudent =students.stream().collect(Collectors.groupingBy(Student::getSex));
System.out.println(sexStudent);
System.out.println("-----------------------------------------\n");//    select sex, count(*) from students group by sex ;
Map<String, Long> sexCount =students.stream().collect(Collectors.groupingBy(Student::getSex, Collectors.counting()));
System.out.println(sexCount);
System.out.println("-----------------------------------------\n");//    select sex,avg(salary) from students group by sex ;
Map<String, Double> avgSexSalary = students.stream().collect(Collectors.groupingBy(Student::getSex, Collectors.averagingDouble(Student::getSalary)));
System.out.println(avgSexSalary);
System.out.println("-----------------------------------------\n");//    嵌套分组  先根据sex分组 再对结果按照addr进行分组
Map<String, Map<String, List<Student>>> NestedGroupBy = students.stream().collect(Collectors.groupingBy(Student::getSex, Collectors.groupingBy(Student::getAddr)));
System.out.println(NestedGroupBy);
System.out.println("-----------------------------------------\n");//    使用自定义收集器downstream 按性别分组  使用HashSet进行 结果收集
Map<String, HashSet<Student>> sexHashSet = students.stream().collect(Collectors.groupingBy(Student::getSex, Collectors.toCollection(HashSet::new)));
System.out.println(sexHashSet);
System.out.println("-----------------------------------------\n");//    使用自定义收集器downstream 按性别分组  使用HashSet进行 结果收集  重置CollectorImpl实现
Map<String, HashSet<Student>> sexCustomCollectorImpl = students.stream().collect(Collectors.groupingBy(Student::getSex, Hashtable::new, Collectors.toCollection(HashSet::new)));
System.out.println(sexCustomCollectorImpl);
System.out.println("-----------------------------------------\n");

四、groupingByConcurrent分组

 //    四、groupingByConcurrent分组//    分组 groupingByConcurrent//    流的适用条件：//          无序 Collector.Characteristics.UNORDERED//          并发 Collector.Characteristics.CONCURRENT//    This is a {@link Collector.Characteristics#CONCURRENT concurrent} and//    {@link Collector.Characteristics#UNORDERED unordered} Collector./*按照key对T进行classifier分组使用List集合收集分组结果public static <T, K>Collector<T, ?, ConcurrentMap<K, List<T>>>groupingByConcurrent(Function<? super T, ? extends K> classifier) {return groupingByConcurrent(classifier,  ::new, toList());}*//*按照key对T进行classifier分组使用自定义收集器downstream 收集分组结果
public static <T, K, A, D>Collector<T, ?, ConcurrentMap<K, D>> groupingByConcurrent(Function<? super T, ? extends K> classifier,Collector<? super T, A, D> downstream) {return groupingByConcurrent(classifier, ConcurrentHashMap::new, downstream);}*//*按照key对T进行classifier分组使用自定义累加器mapFactory  重置downstream的CollectorImpl实现使用自定义收集器downstream 收集分组结果public static <T, K, A, D, M extends ConcurrentMap<K, D>>Collector<T, ?, M> groupingByConcurrent(Function<? super T, ? extends K> classifier,Supplier<M> mapFactory,Collector<? super T, A, D> downstream) {Supplier<A> downstreamSupplier = downstream.supplier();BiConsumer<A, ? super T> downstreamAccumulator = downstream.accumulator();BinaryOperator<ConcurrentMap<K, A>> merger = Collectors.<K, A, ConcurrentMap<K, A>>mapMerger(downstream.combiner());@SuppressWarnings("unchecked")Supplier<ConcurrentMap<K, A>> mangledFactory = (Supplier<ConcurrentMap<K, A>>) mapFactory;BiConsumer<ConcurrentMap<K, A>, T> accumulator;if (downstream.characteristics().contains(Collector.Characteristics.CONCURRENT)) {accumulator = (m, t) -> {K key = Objects.requireNonNull(classifier.apply(t), "element cannot be mapped to a null key");A resultContainer = m.computeIfAbsent(key, k -> downstreamSupplier.get());downstreamAccumulator.accept(resultContainer, t);};}else {accumulator = (m, t) -> {K key = Objects.requireNonNull(classifier.apply(t), "element cannot be mapped to a null key");A resultContainer = m.computeIfAbsent(key, k -> downstreamSupplier.get());//  多个操作-->同时操作同一个结果容器-->同一时间，有且只有一个进行实际操作-->线程同步synchronized (resultContainer) {downstreamAccumulator.accept(resultContainer, t);}};}if (downstream.characteristics().contains(Collector.Characteristics.IDENTITY_FINISH)) {return new CollectorImpl<>(mangledFactory, accumulator, merger, CH_CONCURRENT_ID);}else {@SuppressWarnings("unchecked")Function<A, A> downstreamFinisher = (Function<A, A>) downstream.finisher();Function<ConcurrentMap<K, A>, M> finisher = intermediate -> {intermediate.replaceAll((k, v) -> downstreamFinisher.apply(v));@SuppressWarnings("unchecked")M castResult = (M) intermediate;return castResult;};return new CollectorImpl<>(mangledFactory, accumulator, merger, finisher, CH_CONCURRENT_NOID);}}*/

//    分组 无序 并发
System.out.println("-----------------------------------------\n");//    按性别分组  使用ArrayList进行 结果收集
ConcurrentMap<String, List<Student>> sexStudentConcurrent = students.stream().collect(Collectors.groupingByConcurrent(Student::getSex));
System.out.println(sexStudentConcurrent);
System.out.println("-----------------------------------------\n");//    使用自定义收集器downstream 按性别分组  使用HashSet进行 结果收集
ConcurrentMap<String, HashSet<Student>> sexHashSetConcurrent = students.stream().collect(Collectors.groupingByConcurrent(Student::getSex, Collectors.toCollection(HashSet::new)));
System.out.println(sexHashSetConcurrent);
System.out.println("-----------------------------------------\n");//    使用自定义收集器downstream 按性别分组  使用HashSet进行 结果收集  重置CollectorImpl实现
ConcurrentReferenceHashMap<String, HashSet<Student>> sexCustomCollectorImplConcurrent =students.stream().collect(Collectors.groupingByConcurrent(Student::getSex,ConcurrentReferenceHashMap::new, Collectors.toCollection(HashSet::new)));
System.out.println(sexCustomCollectorImplConcurrent);
System.out.println("-----------------------------------------\n");

五、partitioningBy分区

//    五、partitioningBy分区//  分区  partitioningBy/*对满足预期的条件 进行分区 使用ArrayList 进行结果的收集
public static <T>Collector<T, ?, Map<Boolean, List<T>>> partitioningBy(Predicate<? super T> predicate) {return partitioningBy(predicate, toList());
}*//*对满足预期的条件 进行分区 使用自定义收集器downstream 进行结果的收集
public static <T, D, A>Collector<T, ?, Map<Boolean, D>> partitioningBy(Predicate<? super T> predicate,Collector<? super T, A, D> downstream) {BiConsumer<A, ? super T> downstreamAccumulator = downstream.accumulator();BiConsumer<Partition<A>, T> accumulator = (result, t) ->downstreamAccumulator.accept(predicate.test(t) ? result.forTrue : result.forFalse, t);BinaryOperator<A> op = downstream.combiner();BinaryOperator<Partition<A>> merger = (left, right) ->new Partition<>(op.apply(left.forTrue, right.forTrue),op.apply(left.forFalse, right.forFalse));Supplier<Partition<A>> supplier = () ->new Partition<>(downstream.supplier().get(),downstream.supplier().get());if (downstream.characteristics().contains(Collector.Characteristics.IDENTITY_FINISH)) {return new CollectorImpl<>(supplier, accumulator, merger, CH_ID);}else {Function<Partition<A>, Map<Boolean, D>> finisher = par ->new Partition<>(downstream.finisher().apply(par.forTrue),downstream.finisher().apply(par.forFalse));return new CollectorImpl<>(supplier, accumulator, merger, finisher, CH_NOID);}
}*/

        //    分区System.out.println("-----------------------------------------\n");//    select * from students partition by (addr == Sword Art Online) ;Map<Boolean, List<Student>> addrPartition = students.stream().collect(Collectors.partitioningBy(student -> student.getAddr().equals("Sword Art Online")));System.out.println(addrPartition);System.out.println("-----------------------------------------\n");//    嵌套分区  先根据sex分区 再对结果按照addr进行分区Map<Boolean, Map<Boolean, List<Student>>> NestedPartiton = students.stream().collect(Collectors.partitioningBy(student -> student.getSex().equals("Male"),Collectors.partitioningBy(student -> student.getAddr().equals("Sword Art Online"))));System.out.println(NestedPartiton);System.out.println("-----------------------------------------\n");//    使用自定义downstream收集器分区Map<Boolean, HashSet<Student>> addrCustomPartition = students.stream().collect(Collectors.partitioningBy(student -> student.getAddr().equals("Sword Art Online"), Collectors.toCollection(HashSet::new)));System.out.println(addrCustomPartition);System.out.println("-----------------------------------------\n");}}

六、测试结果

  .   ____          _            __ _ _/\\ / ___'_ __ _ _(_)_ __  __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \\\/  ___)| |_)| | | | | || (_| |  ) ) ) )'  |____| .__|_| |_|_| |_\__, | / / / /=========|_|==============|___/=/_/_/_/:: Spring Boot ::        (v2.1.2.RELEASE)2019-02-20 16:58:15.870  INFO 13392 --- [           main] c.j.d.java8.Stream.CollectorsDetail      : Starting CollectorsDetail on DESKTOP-87RMBG4 with PID 13392 (started by 46250 in E:\IdeaProjects\design)
2019-02-20 16:58:15.871  INFO 13392 --- [           main] c.j.d.java8.Stream.CollectorsDetail      : No active profile set, falling back to default profiles: default
2019-02-20 16:58:16.383  INFO 13392 --- [           main] c.j.d.java8.Stream.CollectorsDetail      : Started CollectorsDetail in 0.708 seconds (JVM running for 1.421)
-----------------------------------------[Kirito, Asuna, Sinon, Yuuki, Alice]
---------------------------------------[Yuuki, Asuna, Kirito, Sinon, Alice]
---------------------------------------[KIRITO, ASUNA, SINON, YUUKI, ALICE]
---------------------------------------[Kirito]
---------------------------------------{5=[Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], 4=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8)], 3=[Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8)], 2=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], 1=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
---------------------------------------{6=Kirito, 5=Asuna    Sinon    Yuuki    Alice}
--------------------------------------------------------------------------------{Female=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------{Female=4, Male=1}
-----------------------------------------{Female=9.99999999E8, Male=9.99999999E8}
-----------------------------------------{Female={Alicization=[Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], Sword Art Online=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], Gun Gale Online=[Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8)], Alfheim Online=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8)]}, Male={Sword Art Online=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}}
-----------------------------------------{Female=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------{Female=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
----------------------------------------------------------------------------------{Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)], Female=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)]}
-----------------------------------------{Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)], Female=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------{Female=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)], Male=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
----------------------------------------------------------------------------------{false=[Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], true=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8), Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------{false={false=[Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], true=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8)]}, true={false=[], true=[Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}}
-----------------------------------------{false=[Student(id=4, name=Yuuki, sex=Female, age=15, addr=Alfheim Online, salary=9.99999999E8), Student(id=3, name=Sinon, sex=Female, age=16, addr=Gun Gale Online, salary=9.99999999E8), Student(id=5, name=Alice, sex=Female, age=14, addr=Alicization, salary=9.99999999E8)], true=[Student(id=2, name=Asuna, sex=Female, age=17, addr=Sword Art Online, salary=9.99999999E8), Student(id=1, name=Kirito, sex=Male, age=18, addr=Sword Art Online, salary=9.99999999E8)]}
-----------------------------------------