com.landawn.abacus.util.stream

Class FloatStream

java.lang.Object

com.landawn.abacus.util.stream.FloatStream

All Implemented Interfaces:

Immutable, BaseStream<Float,float[],FloatPredicate,FloatConsumer,FloatList,u.OptionalFloat,IndexedFloat,FloatIterator,FloatStream>, AutoCloseable

Direct Known Subclasses:

FloatStream.FloatStreamEx

public abstract class FloatStream
extends Object

The Stream will be automatically closed after execution(A terminal method is executed/triggered).

See Also:

BaseStream, Stream

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	FloatStream.FloatStreamEx

Nested classes/interfaces inherited from interface com.landawn.abacus.util.stream.BaseStream

BaseStream.Splitor

Method Summary

Modifier and Type	Method and Description
<SS extends BaseStream> SS	__(Function<? super FloatStream,SS> transfer)
abstract <E extends Exception> boolean	allMatch(Throwables.FloatPredicate<E> predicate)
abstract <E extends Exception> boolean	anyMatch(Throwables.FloatPredicate<E> predicate)
abstract FloatStream	append(float... a)
abstract FloatStream	appendIfEmpty(float... a)
abstract DoubleStream	asDoubleStream()
abstract u.OptionalDouble	average()
abstract Stream<Float>	boxed()
S	carry(C action) Same as peek
void	close()
abstract Stream<FloatList>	collapse(FloatBiPredicate collapsible) Merge series of adjacent elements which satisfy the given predicate using the merger function and return a new stream.
abstract FloatStream	collapse(FloatBiPredicate collapsible, FloatBinaryOperator mergeFunction) Merge series of adjacent elements which satisfy the given predicate using the merger function and return a new stream.
abstract <R> R	collect(Supplier<R> supplier, ObjFloatConsumer<? super R> accumulator)
abstract <R> R	collect(Supplier<R> supplier, ObjFloatConsumer<? super R> accumulator, BiConsumer<R,R> combiner)
static FloatStream	concat(Collection<? extends FloatStream> c)
static FloatStream	concat(float[]... a)
static FloatStream	concat(FloatIterator... a)
static FloatStream	concat(FloatStream... a)
static FloatStream	empty()
abstract <E extends Exception> u.OptionalFloat	findAny(Throwables.FloatPredicate<E> predicate)
abstract <E extends Exception> u.OptionalFloat	findFirst(Throwables.FloatPredicate<E> predicate)
abstract <E extends Exception,E2 extends Exception> u.OptionalFloat	findFirstOrLast(Throwables.FloatPredicate<E> predicateForFirst, Throwables.FloatPredicate<E> predicateForLast)
abstract <E extends Exception> u.OptionalFloat	findLast(Throwables.FloatPredicate<E> predicate) Consider using: stream.reversed().findFirst(predicate) for better performance if possible.
abstract FloatStream	flatMap(FloatFunction<? extends FloatStream> mapper)
abstract <T> Stream<T>	flatMappToObj(FloatFunction<T[]> mapper)
abstract DoubleStream	flatMapToDouble(FloatFunction<? extends DoubleStream> mapper)
abstract IntStream	flatMapToInt(FloatFunction<? extends IntStream> mapper)
abstract LongStream	flatMapToLong(FloatFunction<? extends LongStream> mapper)
abstract <T> Stream<T>	flatMapToObj(FloatFunction<? extends Stream<T>> mapper)
static FloatStream	flatten(float[][] a)
static FloatStream	flatten(float[][][] a)
static FloatStream	flatten(float[][] a, boolean vertically)
static FloatStream	flatten(float[][] a, float valueForNone, boolean vertically)
abstract FloatStream	flattMap(FloatFunction<float[]> mapper)
abstract <T> Stream<T>	flattMapToObj(FloatFunction<? extends Collection<T>> mapper)
abstract <E extends Exception> void	forEach(Throwables.FloatConsumer<E> action)
abstract <E extends Exception> void	forEachIndexed(Throwables.IndexedFloatConsumer<E> action)
static FloatStream	generate(FloatSupplier s)
boolean	isParallel()
static FloatStream	iterate(BooleanSupplier hasNext, FloatSupplier next)
static FloatStream	iterate(float init, BooleanSupplier hasNext, FloatUnaryOperator f)
static FloatStream	iterate(float init, FloatPredicate hasNext, FloatUnaryOperator f)
static FloatStream	iterate(float init, FloatUnaryOperator f)
FloatIterator	iterator() Remember to close this Stream after the iteration is done, if needed.
String	join(CharSequence delimiter)
abstract u.OptionalFloat	kthLargest(int k)
abstract FloatStream	map(FloatUnaryOperator mapper)
abstract DoubleStream	mapToDouble(FloatToDoubleFunction mapper)
abstract IntStream	mapToInt(FloatToIntFunction mapper)
abstract LongStream	mapToLong(FloatToLongFunction mapper)
abstract <U> Stream<U>	mapToObj(FloatFunction<? extends U> mapper)
abstract u.OptionalFloat	max()
static FloatStream	merge(Collection<? extends FloatStream> c, FloatBiFunction<MergeResult> nextSelector)
static FloatStream	merge(float[] a, float[] b, float[] c, FloatBiFunction<MergeResult> nextSelector)
static FloatStream	merge(float[] a, float[] b, FloatBiFunction<MergeResult> nextSelector)
static FloatStream	merge(FloatIterator a, FloatIterator b, FloatBiFunction<MergeResult> nextSelector)
static FloatStream	merge(FloatIterator a, FloatIterator b, FloatIterator c, FloatBiFunction<MergeResult> nextSelector)
abstract FloatStream	merge(FloatStream b, FloatBiFunction<MergeResult> nextSelector)
static FloatStream	merge(FloatStream a, FloatStream b, FloatBiFunction<MergeResult> nextSelector)
static FloatStream	merge(FloatStream a, FloatStream b, FloatStream c, FloatBiFunction<MergeResult> nextSelector)
abstract u.OptionalFloat	min()
abstract <E extends Exception> boolean	noneMatch(Throwables.FloatPredicate<E> predicate)
static FloatStream	of(Collection<Float> c)
static FloatStream	of(float... a)
static FloatStream	of(Float[] a)
static FloatStream	of(float[] a, int startIndex, int endIndex)
static FloatStream	of(Float[] a, int startIndex, int endIndex)
static FloatStream	of(FloatIterator iterator)
static FloatStream	of(Supplier<FloatList> supplier) Lazy evaluation.
S	parallel()
S	parallel(BaseStream.Splitor splitor)
S	parallel(Executor executor)
S	parallel(int maxThreadNum)
S	parallel(int maxThreadNum, BaseStream.Splitor splitor) Returns an equivalent stream that is parallel.
S	parallel(int maxThreadNum, BaseStream.Splitor splitor, Executor executor)
S	parallel(int maxThreadNum, Executor executor)
static FloatStream	parallelMerge(Collection<? extends FloatStream> c, FloatBiFunction<MergeResult> nextSelector)
static FloatStream	parallelMerge(Collection<? extends FloatStream> c, FloatBiFunction<MergeResult> nextSelector, int maxThreadNum)
abstract FloatStream	prepend(float... a)
void	println()
static FloatStream	random()
abstract FloatStream	rangeMap(FloatBiPredicate sameRange, FloatBinaryOperator mapper) Note: copied from StreamEx: https://github.com/amaembo/streamex Returns a stream consisting of results of applying the given function to the ranges created from the source elements.
abstract <T> Stream<T>	rangeMapToObj(FloatBiPredicate sameRange, FloatBiFunction<T> mapper) Note: copied from StreamEx: https://github.com/amaembo/streamex Returns a stream consisting of results of applying the given function to the ranges created from the source elements.
abstract u.OptionalFloat	reduce(FloatBinaryOperator op)
abstract float	reduce(float identity, FloatBinaryOperator op)
static FloatStream	repeat(float element, long n)
abstract FloatStream	scan(FloatBinaryOperator accumulator) Returns a Stream produced by iterative application of a accumulation function to an initial element init and next element of the current stream.
abstract FloatStream	scan(float init, FloatBinaryOperator accumulator) Returns a Stream produced by iterative application of a accumulation function to an initial element init and next element of the current stream.
abstract FloatStream	scan(float init, FloatBinaryOperator accumulator, boolean initIncluded)
S	sequential()
S	shuffled() This method only run sequentially, even in parallel stream and all elements will be loaded to memory.
FloatStream	skipUntil(FloatPredicate predicate)
Stream<S>	sliding(int windowSize)
Stream<PL>	slidingToList(int windowSize)
abstract double	sum()
abstract FloatSummaryStatistics	summarize()
abstract Pair<FloatSummaryStatistics,u.Optional<Map<Percentage,Float>>>	summarizeAndPercentiles()
abstract FloatList	toFloatList()
ImmutableList<T>	toImmutableList()
ImmutableSet<T>	toImmutableSet()
abstract <K,A,D> Map<K,D>	toMap(FloatFunction<? extends K> keyMapper, Collector<Float,A,D> downstream)
abstract <K,A,D,M extends Map<K,D>> M	toMap(FloatFunction<? extends K> keyMapper, Collector<Float,A,D> downstream, Supplier<? extends M> mapFactory)
abstract <K,V> Map<K,V>	toMap(FloatFunction<? extends K> keyMapper, FloatFunction<? extends V> valueMapper)
abstract <K,V> Map<K,V>	toMap(FloatFunction<? extends K> keyMapper, FloatFunction<? extends V> valueMapper, BinaryOperator<V> mergeFunction)
abstract <K,V,M extends Map<K,V>> M	toMap(FloatFunction<? extends K> keyMapper, FloatFunction<? extends V> valueMapper, BinaryOperator<V> mergeFunction, Supplier<? extends M> mapFactory)
abstract <K,V,M extends Map<K,V>> M	toMap(FloatFunction<? extends K> keyMapper, FloatFunction<? extends V> valueMapper, Supplier<? extends M> mapFactory)
abstract FloatStream	top(int n) This method only run sequentially, even in parallel stream.
abstract FloatStream	top(int n, Comparator<? super Float> comparator) This method only run sequentially, even in parallel stream.
static FloatStream	zip(Collection<? extends FloatStream> c, float[] valuesForNone, FloatNFunction<Float> zipFunction) Zip together the iterators until all of them runs out of values.
static FloatStream	zip(Collection<? extends FloatStream> c, FloatNFunction<Float> zipFunction) Zip together the iterators until one of them runs out of values.
static FloatStream	zip(float[] a, float[] b, float[] c, float valueForNoneA, float valueForNoneB, float valueForNoneC, FloatTernaryOperator zipFunction) Zip together the "a", "b" and "c" iterators until all of them runs out of values.
static FloatStream	zip(float[] a, float[] b, float[] c, FloatTernaryOperator zipFunction) Zip together the "a", "b" and "c" arrays until one of them runs out of values.
static FloatStream	zip(float[] a, float[] b, FloatBinaryOperator zipFunction) Zip together the "a" and "b" arrays until one of them runs out of values.
static FloatStream	zip(float[] a, float[] b, float valueForNoneA, float valueForNoneB, FloatBinaryOperator zipFunction) Zip together the "a" and "b" iterators until all of them runs out of values.
static FloatStream	zip(FloatIterator a, FloatIterator b, FloatBinaryOperator zipFunction) Zip together the "a" and "b" iterators until one of them runs out of values.
static FloatStream	zip(FloatIterator a, FloatIterator b, float valueForNoneA, float valueForNoneB, FloatBinaryOperator zipFunction) Zip together the "a" and "b" iterators until all of them runs out of values.
static FloatStream	zip(FloatIterator a, FloatIterator b, FloatIterator c, float valueForNoneA, float valueForNoneB, float valueForNoneC, FloatTernaryOperator zipFunction) Zip together the "a", "b" and "c" iterators until all of them runs out of values.
static FloatStream	zip(FloatIterator a, FloatIterator b, FloatIterator c, FloatTernaryOperator zipFunction) Zip together the "a", "b" and "c" iterators until one of them runs out of values.
static FloatStream	zip(FloatStream a, FloatStream b, FloatBinaryOperator zipFunction) Zip together the "a" and "b" streams until one of them runs out of values.
static FloatStream	zip(FloatStream a, FloatStream b, float valueForNoneA, float valueForNoneB, FloatBinaryOperator zipFunction) Zip together the "a" and "b" iterators until all of them runs out of values.
static FloatStream	zip(FloatStream a, FloatStream b, FloatStream c, float valueForNoneA, float valueForNoneB, float valueForNoneC, FloatTernaryOperator zipFunction) Zip together the "a", "b" and "c" iterators until all of them runs out of values.
static FloatStream	zip(FloatStream a, FloatStream b, FloatStream c, FloatTernaryOperator zipFunction) Zip together the "a", "b" and "c" streams until one of them runs out of values.
abstract FloatStream	zipWith(FloatStream b, FloatBinaryOperator zipFunction)
abstract FloatStream	zipWith(FloatStream b, float valueForNoneA, float valueForNoneB, FloatBinaryOperator zipFunction)
abstract FloatStream	zipWith(FloatStream b, FloatStream c, float valueForNoneA, float valueForNoneB, float valueForNoneC, FloatTernaryOperator zipFunction)
abstract FloatStream	zipWith(FloatStream b, FloatStream c, FloatTernaryOperator zipFunction)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.landawn.abacus.util.stream.BaseStream

acceptIfNotEmpty, append, appendIfEmpty, applyIfNotEmpty, count, difference, distinct, dropWhile, dropWhile, filter, filter, first, indexed, intersection, join, last, limit, onClose, onlyOne, peek, percentiles, prepend, removeIf, removeIf, reversed, reverseSorted, rotated, shuffled, skip, skip, sliding, slidingToList, sorted, split, split, splitAt, splitBy, splitToList, splitToList, step, symmetricDifference, takeWhile, toArray, toCollection, toList, toLongMultiset, toLongMultiset, toMultiset, toMultiset, toSet

Method Detail

skipUntil

@ParallelSupported
 @IntermediateOp
 @Beta
public FloatStream skipUntil(FloatPredicate predicate)

map

public abstract FloatStream map(FloatUnaryOperator mapper)

mapToInt

public abstract IntStream mapToInt(FloatToIntFunction mapper)

mapToLong

public abstract LongStream mapToLong(FloatToLongFunction mapper)

mapToDouble

public abstract DoubleStream mapToDouble(FloatToDoubleFunction mapper)

mapToObj

public abstract <U> Stream<U> mapToObj(FloatFunction<? extends U> mapper)

flatMap

public abstract FloatStream flatMap(FloatFunction<? extends FloatStream> mapper)

flattMap

public abstract FloatStream flattMap(FloatFunction<float[]> mapper)

flatMapToInt

public abstract IntStream flatMapToInt(FloatFunction<? extends IntStream> mapper)

flatMapToLong

public abstract LongStream flatMapToLong(FloatFunction<? extends LongStream> mapper)

flatMapToDouble

public abstract DoubleStream flatMapToDouble(FloatFunction<? extends DoubleStream> mapper)

flatMapToObj

public abstract <T> Stream<T> flatMapToObj(FloatFunction<? extends Stream<T>> mapper)

flattMapToObj

public abstract <T> Stream<T> flattMapToObj(FloatFunction<? extends Collection<T>> mapper)

flatMappToObj

public abstract <T> Stream<T> flatMappToObj(FloatFunction<T[]> mapper)

rangeMap

@SequentialOnly
public abstract FloatStream rangeMap(FloatBiPredicate sameRange,
                                                      FloatBinaryOperator mapper)

Note: copied from StreamEx: https://github.com/amaembo/streamex
Returns a stream consisting of results of applying the given function to the ranges created from the source elements. This is a quasi-intermediate partial reduction operation.

Parameters:

sameRange - a non-interfering, stateless predicate to apply to the leftmost and next elements which returns true for elements which belong to the same range.

mapper - a non-interfering, stateless function to apply to the range borders and produce the resulting element. If value was not merged to the interval, then mapper will receive the same value twice, otherwise it will receive the leftmost and the rightmost values which were merged to the range.

Returns:

See Also:

collapse(FloatBiPredicate, FloatBinaryOperator), Stream.rangeMap(BiPredicate, BiFunction)

rangeMapToObj

@SequentialOnly
public abstract <T> Stream<T> rangeMapToObj(FloatBiPredicate sameRange,
                                                             FloatBiFunction<T> mapper)

Note: copied from StreamEx: https://github.com/amaembo/streamex
Returns a stream consisting of results of applying the given function to the ranges created from the source elements. This is a quasi-intermediate partial reduction operation.

Parameters:

sameRange - a non-interfering, stateless predicate to apply to the leftmost and next elements which returns true for elements which belong to the same range.

mapper - a non-interfering, stateless function to apply to the range borders and produce the resulting element. If value was not merged to the interval, then mapper will receive the same value twice, otherwise it will receive the leftmost and the rightmost values which were merged to the range.

Returns:

See Also:

Stream.rangeMap(BiPredicate, BiFunction)

collapse

@SequentialOnly
public abstract Stream<FloatList> collapse(FloatBiPredicate collapsible)

Merge series of adjacent elements which satisfy the given predicate using the merger function and return a new stream.
This method only run sequentially, even in parallel stream.

Parameters:

collapsible -

Returns:

collapse

@SequentialOnly
public abstract FloatStream collapse(FloatBiPredicate collapsible,
                                                      FloatBinaryOperator mergeFunction)

Merge series of adjacent elements which satisfy the given predicate using the merger function and return a new stream.
This method only run sequentially, even in parallel stream.

Parameters:

collapsible -

mergeFunction -

Returns:

scan

@SequentialOnly
public abstract FloatStream scan(FloatBinaryOperator accumulator)

Returns a Stream produced by iterative application of a accumulation function to an initial element init and next element of the current stream. Produces a Stream consisting of init, acc(init, value1), acc(acc(init, value1), value2), etc.

This is an intermediate operation.

Example:

 accumulator: (a, b) -> a + b
 stream: [1, 2, 3, 4, 5]
 result: [1, 3, 6, 10, 15]
 

This method only run sequentially, even in parallel stream.

Parameters:

accumulator - the accumulation function

Returns:

scan

@SequentialOnly
public abstract FloatStream scan(float init,
                                                  FloatBinaryOperator accumulator)

Returns a Stream produced by iterative application of a accumulation function to an initial element init and next element of the current stream. Produces a Stream consisting of init, acc(init, value1), acc(acc(init, value1), value2), etc.

This is an intermediate operation.

Example:

 init:10
 accumulator: (a, b) -> a + b
 stream: [1, 2, 3, 4, 5]
 result: [11, 13, 16, 20, 25]
 

This method only run sequentially, even in parallel stream.

Parameters:

init - the initial value. it's only used once by accumulator to calculate the fist element in the returned stream. It will be ignored if this stream is empty and won't be the first element of the returned stream.

accumulator - the accumulation function

Returns:

scan

@SequentialOnly
public abstract FloatStream scan(float init,
                                                  FloatBinaryOperator accumulator,
                                                  boolean initIncluded)

Parameters:

init -

accumulator -

initIncluded -

Returns:

prepend

public abstract FloatStream prepend(float... a)

append

public abstract FloatStream append(float... a)

appendIfEmpty

public abstract FloatStream appendIfEmpty(float... a)

top

@SequentialOnly
public abstract FloatStream top(int n)

This method only run sequentially, even in parallel stream.

Parameters:

n -

Returns:

top

@SequentialOnly
public abstract FloatStream top(int n,
                                                 Comparator<? super Float> comparator)

This method only run sequentially, even in parallel stream.

Parameters:

n -

Returns:

toFloatList

public abstract FloatList toFloatList()

toMap

public abstract <K,V> Map<K,V> toMap(FloatFunction<? extends K> keyMapper,
                                     FloatFunction<? extends V> valueMapper)

Parameters:

keyMapper -

valueMapper -

Returns:

See Also:

Collectors.toMap(Function, Function)

toMap

public abstract <K,V,M extends Map<K,V>> M toMap(FloatFunction<? extends K> keyMapper,
                                                 FloatFunction<? extends V> valueMapper,
                                                 Supplier<? extends M> mapFactory)

Parameters:

keyMapper -

valueMapper -

mapFactory -

Returns:

See Also:

Collectors.toMap(Function, Function, Supplier)

toMap

public abstract <K,V> Map<K,V> toMap(FloatFunction<? extends K> keyMapper,
                                     FloatFunction<? extends V> valueMapper,
                                     BinaryOperator<V> mergeFunction)

Parameters:

keyMapper -

valueMapper -

mergeFunction -

Returns:

See Also:

Collectors.toMap(Function, Function, BinaryOperator)

toMap

public abstract <K,V,M extends Map<K,V>> M toMap(FloatFunction<? extends K> keyMapper,
                                                 FloatFunction<? extends V> valueMapper,
                                                 BinaryOperator<V> mergeFunction,
                                                 Supplier<? extends M> mapFactory)

Parameters:

keyMapper -

valueMapper -

mergeFunction -

mapFactory -

Returns:

See Also:

Collectors.toMap(Function, Function, BinaryOperator, Supplier)

toMap

public abstract <K,A,D> Map<K,D> toMap(FloatFunction<? extends K> keyMapper,
                                       Collector<Float,A,D> downstream)

Parameters:

keyMapper -

downstream -

Returns:

See Also:

Collectors.groupingBy(Function, Collector)

toMap

public abstract <K,A,D,M extends Map<K,D>> M toMap(FloatFunction<? extends K> keyMapper,
                                                   Collector<Float,A,D> downstream,
                                                   Supplier<? extends M> mapFactory)

Parameters:

keyMapper -

downstream -

mapFactory -

Returns:

See Also:

Collectors.groupingBy(Function, Collector, Supplier)

reduce

public abstract float reduce(float identity,
                             FloatBinaryOperator op)

reduce

public abstract u.OptionalFloat reduce(FloatBinaryOperator op)

collect

public abstract <R> R collect(Supplier<R> supplier,
                              ObjFloatConsumer<? super R> accumulator,
                              BiConsumer<R,R> combiner)

collect

public abstract <R> R collect(Supplier<R> supplier,
                              ObjFloatConsumer<? super R> accumulator)

forEach

@ParallelSupported
 @TerminalOp
public abstract <E extends Exception> void forEach(Throwables.FloatConsumer<E> action)
                                                                              throws E extends Exception

Throws:

E extends Exception

forEachIndexed

@ParallelSupported
 @TerminalOp
public abstract <E extends Exception> void forEachIndexed(Throwables.IndexedFloatConsumer<E> action)
                                                                                     throws E extends Exception

Throws:

E extends Exception

anyMatch

public abstract <E extends Exception> boolean anyMatch(Throwables.FloatPredicate<E> predicate)
                                                throws E extends Exception

Throws:

E extends Exception

allMatch

public abstract <E extends Exception> boolean allMatch(Throwables.FloatPredicate<E> predicate)
                                                throws E extends Exception

Throws:

E extends Exception

noneMatch

public abstract <E extends Exception> boolean noneMatch(Throwables.FloatPredicate<E> predicate)
                                                 throws E extends Exception

Throws:

E extends Exception

findFirst

public abstract <E extends Exception> u.OptionalFloat findFirst(Throwables.FloatPredicate<E> predicate)
                                                         throws E extends Exception

Throws:

E extends Exception

findLast

public abstract <E extends Exception> u.OptionalFloat findLast(Throwables.FloatPredicate<E> predicate)
                                                        throws E extends Exception

Consider using: stream.reversed().findFirst(predicate) for better performance if possible.

Type Parameters:

E -

Parameters:

predicate -

Returns:

Throws:

E

E extends Exception

findFirstOrLast

public abstract <E extends Exception,E2 extends Exception> u.OptionalFloat findFirstOrLast(Throwables.FloatPredicate<E> predicateForFirst,
                                                                                           Throwables.FloatPredicate<E> predicateForLast)
                                                                                    throws E extends Exception,
                                                                                           E2 extends Exception

Throws:

E extends Exception

findAny

public abstract <E extends Exception> u.OptionalFloat findAny(Throwables.FloatPredicate<E> predicate)
                                                       throws E extends Exception

Throws:

E extends Exception

min

public abstract u.OptionalFloat min()

max

public abstract u.OptionalFloat max()

kthLargest

public abstract u.OptionalFloat kthLargest(int k)

Parameters:

k -

Returns:

OptionalByte.empty() if there is no element or count less than k, otherwise the kth largest element.

sum

public abstract double sum()

average

public abstract u.OptionalDouble average()

summarize

public abstract FloatSummaryStatistics summarize()

summarizeAndPercentiles

public abstract Pair<FloatSummaryStatistics,u.Optional<Map<Percentage,Float>>> summarizeAndPercentiles()

merge

public abstract FloatStream merge(FloatStream b,
                                  FloatBiFunction<MergeResult> nextSelector)

Parameters:

b -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

zipWith

public abstract FloatStream zipWith(FloatStream b,
                                    FloatBinaryOperator zipFunction)

zipWith

public abstract FloatStream zipWith(FloatStream b,
                                    FloatStream c,
                                    FloatTernaryOperator zipFunction)

zipWith

public abstract FloatStream zipWith(FloatStream b,
                                    float valueForNoneA,
                                    float valueForNoneB,
                                    FloatBinaryOperator zipFunction)

zipWith

public abstract FloatStream zipWith(FloatStream b,
                                    FloatStream c,
                                    float valueForNoneA,
                                    float valueForNoneB,
                                    float valueForNoneC,
                                    FloatTernaryOperator zipFunction)

asDoubleStream

public abstract DoubleStream asDoubleStream()

boxed

public abstract Stream<Float> boxed()

iterator

@SequentialOnly
public FloatIterator iterator()

Remember to close this Stream after the iteration is done, if needed.

Returns:

__

@SequentialOnly
 @IntermediateOp
 @Beta
public <SS extends BaseStream> SS __(Function<? super FloatStream,SS> transfer)

empty

public static FloatStream empty()

of

@SafeVarargs
public static FloatStream of(float... a)

of

public static FloatStream of(float[] a,
                             int startIndex,
                             int endIndex)

of

public static FloatStream of(Float[] a)

of

public static FloatStream of(Float[] a,
                             int startIndex,
                             int endIndex)

of

public static FloatStream of(Collection<Float> c)

of

public static FloatStream of(FloatIterator iterator)

of

public static FloatStream of(Supplier<FloatList> supplier)

Lazy evaluation.

Parameters:

supplier -

Returns:

flatten

public static FloatStream flatten(float[][] a)

flatten

public static FloatStream flatten(float[][] a,
                                  boolean vertically)

flatten

public static FloatStream flatten(float[][] a,
                                  float valueForNone,
                                  boolean vertically)

flatten

public static FloatStream flatten(float[][][] a)

repeat

public static FloatStream repeat(float element,
                                 long n)

random

public static FloatStream random()

iterate

public static FloatStream iterate(BooleanSupplier hasNext,
                                  FloatSupplier next)

iterate

public static FloatStream iterate(float init,
                                  BooleanSupplier hasNext,
                                  FloatUnaryOperator f)

iterate

public static FloatStream iterate(float init,
                                  FloatPredicate hasNext,
                                  FloatUnaryOperator f)

Parameters:

init -

hasNext - test if has next by hasNext.test(init) for first time and hasNext.test(f.apply(previous)) for remaining.

f -

Returns:

iterate

public static FloatStream iterate(float init,
                                  FloatUnaryOperator f)

generate

public static FloatStream generate(FloatSupplier s)

concat

@SafeVarargs
public static FloatStream concat(float[]... a)

concat

@SafeVarargs
public static FloatStream concat(FloatIterator... a)

concat

@SafeVarargs
public static FloatStream concat(FloatStream... a)

concat

public static FloatStream concat(Collection<? extends FloatStream> c)

zip

public static FloatStream zip(float[] a,
                              float[] b,
                              FloatBinaryOperator zipFunction)

Zip together the "a" and "b" arrays until one of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static FloatStream zip(float[] a,
                              float[] b,
                              float[] c,
                              FloatTernaryOperator zipFunction)

Zip together the "a", "b" and "c" arrays until one of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

c -

Returns:

zip

public static FloatStream zip(FloatIterator a,
                              FloatIterator b,
                              FloatBinaryOperator zipFunction)

Zip together the "a" and "b" iterators until one of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static FloatStream zip(FloatIterator a,
                              FloatIterator b,
                              FloatIterator c,
                              FloatTernaryOperator zipFunction)

Zip together the "a", "b" and "c" iterators until one of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static FloatStream zip(FloatStream a,
                              FloatStream b,
                              FloatBinaryOperator zipFunction)

Zip together the "a" and "b" streams until one of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static FloatStream zip(FloatStream a,
                              FloatStream b,
                              FloatStream c,
                              FloatTernaryOperator zipFunction)

Zip together the "a", "b" and "c" streams until one of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

Returns:

zip

public static FloatStream zip(Collection<? extends FloatStream> c,
                              FloatNFunction<Float> zipFunction)

Zip together the iterators until one of them runs out of values. Each array of values is combined into a single value using the supplied zipFunction function.

Parameters:

c -

zipFunction -

Returns:

zip

public static FloatStream zip(float[] a,
                              float[] b,
                              float valueForNoneA,
                              float valueForNoneB,
                              FloatBinaryOperator zipFunction)

Zip together the "a" and "b" iterators until all of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

valueForNoneA - value to fill if "a" runs out of values first.

valueForNoneB - value to fill if "b" runs out of values first.

zipFunction -

Returns:

zip

public static FloatStream zip(float[] a,
                              float[] b,
                              float[] c,
                              float valueForNoneA,
                              float valueForNoneB,
                              float valueForNoneC,
                              FloatTernaryOperator zipFunction)

Zip together the "a", "b" and "c" iterators until all of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

c -

valueForNoneA - value to fill if "a" runs out of values.

valueForNoneB - value to fill if "b" runs out of values.

valueForNoneC - value to fill if "c" runs out of values.

zipFunction -

Returns:

zip

public static FloatStream zip(FloatIterator a,
                              FloatIterator b,
                              float valueForNoneA,
                              float valueForNoneB,
                              FloatBinaryOperator zipFunction)

Zip together the "a" and "b" iterators until all of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

valueForNoneA - value to fill if "a" runs out of values first.

valueForNoneB - value to fill if "b" runs out of values first.

zipFunction -

Returns:

zip

public static FloatStream zip(FloatIterator a,
                              FloatIterator b,
                              FloatIterator c,
                              float valueForNoneA,
                              float valueForNoneB,
                              float valueForNoneC,
                              FloatTernaryOperator zipFunction)

Zip together the "a", "b" and "c" iterators until all of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

c -

valueForNoneA - value to fill if "a" runs out of values.

valueForNoneB - value to fill if "b" runs out of values.

valueForNoneC - value to fill if "c" runs out of values.

zipFunction -

Returns:

zip

public static FloatStream zip(FloatStream a,
                              FloatStream b,
                              float valueForNoneA,
                              float valueForNoneB,
                              FloatBinaryOperator zipFunction)

Zip together the "a" and "b" iterators until all of them runs out of values. Each pair of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

valueForNoneA - value to fill if "a" runs out of values first.

valueForNoneB - value to fill if "b" runs out of values first.

zipFunction -

Returns:

zip

public static FloatStream zip(FloatStream a,
                              FloatStream b,
                              FloatStream c,
                              float valueForNoneA,
                              float valueForNoneB,
                              float valueForNoneC,
                              FloatTernaryOperator zipFunction)

Zip together the "a", "b" and "c" iterators until all of them runs out of values. Each triple of values is combined into a single value using the supplied zipFunction function.

Parameters:

a -

b -

c -

valueForNoneA - value to fill if "a" runs out of values.

valueForNoneB - value to fill if "b" runs out of values.

valueForNoneC - value to fill if "c" runs out of values.

zipFunction -

Returns:

zip

public static FloatStream zip(Collection<? extends FloatStream> c,
                              float[] valuesForNone,
                              FloatNFunction<Float> zipFunction)

Zip together the iterators until all of them runs out of values. Each array of values is combined into a single value using the supplied zipFunction function.

Parameters:

c -

valuesForNone - value to fill for any iterator runs out of values.

zipFunction -

Returns:

merge

public static FloatStream merge(float[] a,
                                float[] b,
                                FloatBiFunction<MergeResult> nextSelector)

Parameters:

a -

b -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static FloatStream merge(float[] a,
                                float[] b,
                                float[] c,
                                FloatBiFunction<MergeResult> nextSelector)

Parameters:

a -

b -

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static FloatStream merge(FloatIterator a,
                                FloatIterator b,
                                FloatBiFunction<MergeResult> nextSelector)

Parameters:

a -

b -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static FloatStream merge(FloatIterator a,
                                FloatIterator b,
                                FloatIterator c,
                                FloatBiFunction<MergeResult> nextSelector)

Parameters:

a -

b -

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static FloatStream merge(FloatStream a,
                                FloatStream b,
                                FloatBiFunction<MergeResult> nextSelector)

Parameters:

a -

b -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static FloatStream merge(FloatStream a,
                                FloatStream b,
                                FloatStream c,
                                FloatBiFunction<MergeResult> nextSelector)

Parameters:

a -

b -

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

merge

public static FloatStream merge(Collection<? extends FloatStream> c,
                                FloatBiFunction<MergeResult> nextSelector)

Parameters:

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

parallelMerge

public static FloatStream parallelMerge(Collection<? extends FloatStream> c,
                                        FloatBiFunction<MergeResult> nextSelector)

Parameters:

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

Returns:

parallelMerge

public static FloatStream parallelMerge(Collection<? extends FloatStream> c,
                                        FloatBiFunction<MergeResult> nextSelector,
                                        int maxThreadNum)

Parameters:

c -

nextSelector - first parameter is selected if Nth.FIRST is returned, otherwise the second parameter is selected.

maxThreadNum -

Returns:

carry

public S carry(C action)

Description copied from interface: BaseStream

Same as peek

Specified by:

carry in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

See Also:

BaseStream.peek(Object)

sliding

public Stream<S> sliding(int windowSize)

Specified by:

sliding in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

See Also:

BaseStream.sliding(int, int)

slidingToList

public Stream<PL> slidingToList(int windowSize)

Specified by:

slidingToList in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

See Also:

BaseStream.sliding(int, int)

shuffled

public S shuffled()

Description copied from interface: BaseStream

This method only run sequentially, even in parallel stream and all elements will be loaded to memory.

Specified by:

shuffled in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

toImmutableList

public ImmutableList<T> toImmutableList()

Specified by:

toImmutableList in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

toImmutableSet

public ImmutableSet<T> toImmutableSet()

Specified by:

toImmutableSet in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

join

public String join(CharSequence delimiter)

Specified by:

join in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

println

public void println()

Specified by:

println in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

isParallel

public boolean isParallel()

Specified by:

isParallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

sequential

public S sequential()

Specified by:

sequential in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

parallel

public S parallel()

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

parallel

public S parallel(int maxThreadNum)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

parallel

public S parallel(BaseStream.Splitor splitor)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Returns:

parallel

public S parallel(int maxThreadNum,
                  BaseStream.Splitor splitor)

Description copied from interface: BaseStream

Returns an equivalent stream that is parallel. May return itself if the stream was already parallel with the same maxThreadNum and splitor as the specified ones.

When to use parallel Streams?

• First of all, do NOT and should NOT use parallel Streams if you don't have any problem with sequential Streams, because using parallel Streams has extra cost.
• Consider using parallel Streams only when N(the number of elements) * Q(cost per element of F, the per-element function (usually a lambda)) is big enough(e.g. IO involved. Network: DB/web service request..., Reading/Writing file...).
• It's easy to test out the differences of performance by sequential Streams and parallel Streams with Profiler:

 
 Profiler.run(1, 1, 3, "sequential", () -> Stream.of(list).operation(F)...).printResult();
 Profiler.run(1, 1, 3, "parallel", () -> Stream.of(list).parallel().operation(F)...).printResult();
 
 

Here is a sample performance test with computer: CPU Intel i7-3520M 4-cores 2.9 GHz, JDK 1.8.0_101, Windows 7:

 
 public void test_perf() {
     final String[] strs = new String[10_000];
     N.fill(strs, N.uuid());

     final int m = 1;
     final Function mapper = str -> {
         long result = 0;
         for (int i = 0; i < m; i++) {
             result += sum(str.toCharArray()) + 1;
         }
         return result;
     };

     final MutableLong sum = MutableLong.of(0);

     for (int i = 0, len = strs.length; i < len; i++) {
         sum.add(mapper.apply(strs[i]));
     }

     final int threadNum = 1, loopNum = 100, roundNum = 3;

     Profiler.run(threadNum, loopNum, roundNum, "For Loop", () -> {
         long result = 0;
         for (int i = 0, len = strs.length; i < len; i++) {
             result += mapper.apply(strs[i]);
         }
         assertEquals(sum.longValue(), result);
     }).printResult();

     Profiler.run(threadNum, loopNum, roundNum, "JDK Sequential",
             () -> assertEquals(sum.longValue(), java.util.stream.Stream.of(strs).map(mapper).mapToLong(e -> e).sum())).printResult();

     Profiler.run(threadNum, loopNum, roundNum, "JDK Parallel",
             () -> assertEquals(sum.longValue(), java.util.stream.Stream.of(strs).parallel().map(mapper).mapToLong(e -> e).sum())).printResult();

     Profiler.run(threadNum, loopNum, roundNum, "Abcus Sequential",
             () -> assertEquals(sum.longValue(), Stream.of(strs).map(mapper).mapToLong(e -> e).sum().longValue())).printResult();

     Profiler.run(threadNum, loopNum, roundNum, "Abcus Parallel",
             () -> assertEquals(sum.longValue(), Stream.of(strs).parallel().map(mapper).mapToLong(e -> e).sum().longValue())).printResult();
 }
 
 

And test result: Unit is milliseconds. N(the number of elements) is 10_000, Q(cost per element of F, the per-element function (usually a lambda), here is mapper) is calculated by: value of 'For loop' / N(10_000).

	m = 1	m = 10	m = 50	m = 100	m = 500	m = 1000
Q	0.00002	0.0002	0.001	0.002	0.01	0.02
For Loop	0.23	2.3	11	22	110	219
JDK Sequential	0.28	2.3	11	22	114	212
JDK Parallel	0.22	1.3	6	12	66	122
Abcus Sequential	0.3	2	11	22	112	212
Abcus Parallel	11	11	11	16	77	128

Comparison:

• Again, do NOT and should NOT use parallel Streams if you don't have any performance problem with sequential Streams, because using parallel Streams has extra cost.
• Again, consider using parallel Streams only when N(the number of elements) * Q(cost per element of F, the per-element function (usually a lambda)) is big enough.
• The implementation of parallel Streams in Abacus is more than 10 times, slower than parallel Streams in JDK when Q is tiny(here is less than 0.0002 milliseconds by the test):
• The implementation of parallel Streams in JDK 8 still can beat the sequential/for loop when Q is tiny(Here is 0.00002 milliseconds by the test). That's amazing, considering the extra cost brought by parallel computation. It's well done.
• The implementation of parallel Streams in Abacus is pretty simple and straight forward. The extra cost(starting threads/synchronization/queue...) brought by parallel Streams in Abacus is too bigger to tiny Q(Here is less than 0.001 milliseconds by the test). But it starts to be faster than sequential Streams when Q is big enough(Here is 0.001 milliseconds by the test) and starts to catch the parallel Streams in JDK when Q is bigger(Here is 0.01 milliseconds by the test).
• Consider using the parallel Streams in Abacus when Q is big enough, specially when IO involved in F. Because one IO operation(e.g. DB/web service request..., Reading/Writing file...) usually takes 1 to 1000 milliseconds, or even longer. By the parallel Streams APIs in Abacus, it's very simple to specify max thread numbers. Sometimes, it's much faster to execute IO/Network requests with a bit more threads. It's fair to say that the parallel Streams in Abacus is high efficient, may same as or faster than the parallel Streams in JDK when Q is big enough, except F is heavy cpu-used operation. Most of the times, the Q is big enough to consider using parallel Stream is because IO/Network is involved in F.
• JDK 7 is supported by the Streams in Abacus. It's perfect to work with retrolambda on Android
• All primitive types are supported by Stream APIs in Abacus except boolean

A bit more about Lambdas/Stream APIs, you may heard that Lambdas/Stream APIs is 5 time slower than imperative programming. It's true when Q and F is VERY, VERY tiny, like f = (int a, int b) -> a + b;. But if we look into the samples in the article and think about it: it just takes less than 1 milliseconds to get the max value in 100k numbers. There is potential performance issue only if the "get the max value in 100K numbers" call many, many times in your API or single request. Otherwise, the difference between 0.1 milliseconds to 0.5 milliseconds can be totally ignored. Usually we meet performance issue only if Q and F is big enough. However, the performance of Lambdas/Streams APIs is closed to for loop when Q and F is big enough. No matter in which scenario, We don't need and should not concern the performance of Lambdas/Stream APIs.

Although it's is parallel Streams, it doesn't means all the methods are executed in parallel. Because the sequential way is as fast, or even faster than the parallel way for some methods, or is pretty difficult, if not possible, to implement the method by parallel approach. Here are the methods which are executed sequentially even in parallel Streams.

splitXXX/splitAt/splitBy/slidingXXX/collapse, distinct, reverse, rotate, shuffle, indexed, cached, top, kthLargest, count, toArray, toList, toList, toSet, toMultiset, toLongMultiset, intersection(Collection c), difference(Collection c), symmetricDifference(Collection c), forEach(identity, accumulator, predicate), findFirstOrLast, findFirstAndLast

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Parameters:

maxThreadNum - Default value is the number of cpu-cores. Steps/operations will be executed sequentially if maxThreadNum is 1.

splitor - The target array is split by ranges for multiple threads if splitor is splitor.ARRAY and target stream composed by array. It looks like:

 for (int i = 0; i < maxThreadNum; i++) {
     final int sliceIndex = i;

     futureList.add(asyncExecutor.execute(new Runnable() {
         public void run() {
             int cursor = fromIndex + sliceIndex * sliceSize;
             final int to = toIndex - cursor > sliceSize ? cursor + sliceSize : toIndex;
             while (cursor < to) {
                 action.accept(elements[cursor++]);
             }
        }
    }));
 }
 

Otherwise, each thread will get the elements from the target array/iterator in the stream one by one with the target array/iterator synchronized. It looks like:

 for (int i = 0; i < maxThreadNum; i++) {
     futureList.add(asyncExecutor.execute(new Runnable() {
         public void run() {
             T next = null;

             while (true) {
                 synchronized (elements) {
                     if (cursor.intValue() < toIndex) {
                         next = elements[cursor.getAndIncrement()];
                     } else {
                         break;
                     }
                 }

                 action.accept(next);
             }
         }
     }));
 }
 

Using splitor.ARRAY only when F (the per-element function (usually a lambda)) is very tiny and the cost of synchronization on the target array/iterator is too big to it. For the F involving IO or taking 'long' to complete, choose splitor.ITERATOR. Default value is splitor.ITERATOR.

Returns:

See Also:

MergeResult, com.landawn.abacus.util.Profiler#run(int, int, int, String, Runnable), Understanding Parallel Stream Performance in Java SE 8, When to use parallel Streams

parallel

public S parallel(int maxThreadNum,
                  BaseStream.Splitor splitor,
                  Executor executor)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

executor - should be able to execute maxThreadNum * following up operations in parallel.

Returns:

parallel

public S parallel(int maxThreadNum,
                  Executor executor)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

executor - should be able to execute maxThreadNum * following up operations in parallel.

Returns:

parallel

public S parallel(Executor executor)

Specified by:

parallel in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Parameters:

executor - should be able to execute maxThreadNum * following up operations in parallel.

Returns:

close

public void close()

Specified by:

close in interface BaseStream<T,A,P,C,PL,OT,IT,ITER,S extends com.landawn.abacus.util.stream.StreamBase<T,A,P,C,PL,OT,IT,ITER,S>>

Specified by:

close in interface AutoCloseable