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/*
* Copyright (C) 2015 The Guava Authors
*
* Licensed under the Apache License, Version 2.0 (the "License"); you
* may not use this file except in compliance with the License. You may
* obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
* implied. See the License for the specific language governing
* permissions and limitations under the License.
*/
package com.signalfx.shaded.google.common.collect;
import static com.signalfx.shaded.google.common.base.Preconditions.checkNotNull;
import static com.signalfx.shaded.google.common.collect.NullnessCasts.uncheckedCastNullableTToT;
import static java.lang.Math.min;
import static java.util.Objects.requireNonNull;
import com.signalfx.shaded.google.common.annotations.Beta;
import com.signalfx.shaded.google.common.annotations.GwtCompatible;
import com.signalfx.shaded.google.common.math.LongMath;
import com.signalfx.shaded.google.errorprone.annotations.InlineMe;
import com.signalfx.shaded.google.errorprone.annotations.InlineMeValidationDisabled;
import java.util.ArrayDeque;
import java.util.Collection;
import java.util.Deque;
import java.util.Iterator;
import java.util.OptionalDouble;
import java.util.OptionalInt;
import java.util.OptionalLong;
import java.util.PrimitiveIterator;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.Spliterators.AbstractSpliterator;
import java.util.function.BiConsumer;
import java.util.function.BiFunction;
import java.util.function.Consumer;
import java.util.function.DoubleConsumer;
import java.util.function.IntConsumer;
import java.util.function.LongConsumer;
import java.util.stream.BaseStream;
import java.util.stream.DoubleStream;
import java.util.stream.IntStream;
import java.util.stream.LongStream;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
import com.signalfx.shaded.javax.annotation.CheckForNull;
import com.signalfx.shaded.checkerframework.checker.nullness.qual.Nullable;
/**
* Static utility methods related to {@code Stream} instances.
*
* @since 21.0
*/
@GwtCompatible
@ElementTypesAreNonnullByDefault
public final class Streams {
/**
* Returns a sequential {@link Stream} of the contents of {@code iterable}, delegating to {@link
* Collection#stream} if possible.
*/
public static Stream stream(Iterable iterable) {
return (iterable instanceof Collection)
? ((Collection) iterable).stream()
: StreamSupport.stream(iterable.spliterator(), false);
}
/**
* Returns {@link Collection#stream}.
*
* @deprecated There is no reason to use this; just invoke {@code collection.stream()} directly.
*/
@Deprecated
@InlineMe(replacement = "collection.stream()")
public static Stream stream(Collection collection) {
return collection.stream();
}
/**
* Returns a sequential {@link Stream} of the remaining contents of {@code iterator}. Do not use
* {@code iterator} directly after passing it to this method.
*/
public static Stream stream(Iterator iterator) {
return StreamSupport.stream(Spliterators.spliteratorUnknownSize(iterator, 0), false);
}
/**
* If a value is present in {@code optional}, returns a stream containing only that element,
* otherwise returns an empty stream.
*/
public static Stream stream(com.signalfx.shaded.google.common.base.Optional optional) {
return optional.isPresent() ? Stream.of(optional.get()) : Stream.empty();
}
/**
* If a value is present in {@code optional}, returns a stream containing only that element,
* otherwise returns an empty stream.
*
* Java 9 users: use {@code optional.stream()} instead.
*/
@Beta
@InlineMe(replacement = "optional.stream()")
@InlineMeValidationDisabled("Java 9+ API only")
public static Stream stream(java.util.Optional optional) {
return optional.isPresent() ? Stream.of(optional.get()) : Stream.empty();
}
/**
* If a value is present in {@code optional}, returns a stream containing only that element,
* otherwise returns an empty stream.
*
* Java 9 users: use {@code optional.stream()} instead.
*/
@Beta
@InlineMe(replacement = "optional.stream()")
@InlineMeValidationDisabled("Java 9+ API only")
public static IntStream stream(OptionalInt optional) {
return optional.isPresent() ? IntStream.of(optional.getAsInt()) : IntStream.empty();
}
/**
* If a value is present in {@code optional}, returns a stream containing only that element,
* otherwise returns an empty stream.
*
*
Java 9 users: use {@code optional.stream()} instead.
*/
@Beta
@InlineMe(replacement = "optional.stream()")
@InlineMeValidationDisabled("Java 9+ API only")
public static LongStream stream(OptionalLong optional) {
return optional.isPresent() ? LongStream.of(optional.getAsLong()) : LongStream.empty();
}
/**
* If a value is present in {@code optional}, returns a stream containing only that element,
* otherwise returns an empty stream.
*
*
Java 9 users: use {@code optional.stream()} instead.
*/
@Beta
@InlineMe(replacement = "optional.stream()")
@InlineMeValidationDisabled("Java 9+ API only")
public static DoubleStream stream(OptionalDouble optional) {
return optional.isPresent() ? DoubleStream.of(optional.getAsDouble()) : DoubleStream.empty();
}
@SuppressWarnings("CatchingUnchecked") // sneaky checked exception
private static void closeAll(BaseStream[] toClose) {
// If one of the streams throws an exception, continue closing the others, then throw the
// exception later. If more than one stream throws an exception, the later ones are added to the
// first as suppressed exceptions. We don't catch Error on the grounds that it should be allowed
// to propagate immediately.
Exception exception = null;
for (BaseStream stream : toClose) {
try {
stream.close();
} catch (Exception e) { // sneaky checked exception
if (exception == null) {
exception = e;
} else {
exception.addSuppressed(e);
}
}
}
if (exception != null) {
// Normally this is a RuntimeException that doesn't need sneakyThrow.
// But theoretically we could see sneaky checked exception
sneakyThrow(exception);
}
}
/** Throws an undeclared checked exception. */
private static void sneakyThrow(Throwable t) {
class SneakyThrower {
@SuppressWarnings("unchecked") // not really safe, but that's the point
void throwIt(Throwable t) throws T {
throw (T) t;
}
}
new SneakyThrower().throwIt(t);
}
/**
* Returns a {@link Stream} containing the elements of the first stream, followed by the elements
* of the second stream, and so on.
*
* This is equivalent to {@code Stream.of(streams).flatMap(stream -> stream)}, but the returned
* stream may perform better.
*
* @see Stream#concat(Stream, Stream)
*/
@SuppressWarnings("unchecked") // could probably be avoided with a forwarding Spliterator
@SafeVarargs
public static Stream concat(Stream... streams) {
// TODO(lowasser): consider an implementation that can support SUBSIZED
boolean isParallel = false;
int characteristics = Spliterator.ORDERED | Spliterator.SIZED | Spliterator.NONNULL;
long estimatedSize = 0L;
ImmutableList.Builder> splitrsBuilder =
new ImmutableList.Builder<>(streams.length);
for (Stream stream : streams) {
isParallel |= stream.isParallel();
Spliterator splitr = stream.spliterator();
splitrsBuilder.add(splitr);
characteristics &= splitr.characteristics();
estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
}
return StreamSupport.stream(
CollectSpliterators.flatMap(
splitrsBuilder.build().spliterator(),
splitr -> (Spliterator) splitr,
characteristics,
estimatedSize),
isParallel)
.onClose(() -> closeAll(streams));
}
/**
* Returns an {@link IntStream} containing the elements of the first stream, followed by the
* elements of the second stream, and so on.
*
* This is equivalent to {@code Stream.of(streams).flatMapToInt(stream -> stream)}, but the
* returned stream may perform better.
*
* @see IntStream#concat(IntStream, IntStream)
*/
public static IntStream concat(IntStream... streams) {
boolean isParallel = false;
int characteristics = Spliterator.ORDERED | Spliterator.SIZED | Spliterator.NONNULL;
long estimatedSize = 0L;
ImmutableList.Builder splitrsBuilder =
new ImmutableList.Builder<>(streams.length);
for (IntStream stream : streams) {
isParallel |= stream.isParallel();
Spliterator.OfInt splitr = stream.spliterator();
splitrsBuilder.add(splitr);
characteristics &= splitr.characteristics();
estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
}
return StreamSupport.intStream(
CollectSpliterators.flatMapToInt(
splitrsBuilder.build().spliterator(),
splitr -> splitr,
characteristics,
estimatedSize),
isParallel)
.onClose(() -> closeAll(streams));
}
/**
* Returns a {@link LongStream} containing the elements of the first stream, followed by the
* elements of the second stream, and so on.
*
* This is equivalent to {@code Stream.of(streams).flatMapToLong(stream -> stream)}, but the
* returned stream may perform better.
*
* @see LongStream#concat(LongStream, LongStream)
*/
public static LongStream concat(LongStream... streams) {
boolean isParallel = false;
int characteristics = Spliterator.ORDERED | Spliterator.SIZED | Spliterator.NONNULL;
long estimatedSize = 0L;
ImmutableList.Builder splitrsBuilder =
new ImmutableList.Builder<>(streams.length);
for (LongStream stream : streams) {
isParallel |= stream.isParallel();
Spliterator.OfLong splitr = stream.spliterator();
splitrsBuilder.add(splitr);
characteristics &= splitr.characteristics();
estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
}
return StreamSupport.longStream(
CollectSpliterators.flatMapToLong(
splitrsBuilder.build().spliterator(),
splitr -> splitr,
characteristics,
estimatedSize),
isParallel)
.onClose(() -> closeAll(streams));
}
/**
* Returns a {@link DoubleStream} containing the elements of the first stream, followed by the
* elements of the second stream, and so on.
*
* This is equivalent to {@code Stream.of(streams).flatMapToDouble(stream -> stream)}, but the
* returned stream may perform better.
*
* @see DoubleStream#concat(DoubleStream, DoubleStream)
*/
public static DoubleStream concat(DoubleStream... streams) {
boolean isParallel = false;
int characteristics = Spliterator.ORDERED | Spliterator.SIZED | Spliterator.NONNULL;
long estimatedSize = 0L;
ImmutableList.Builder splitrsBuilder =
new ImmutableList.Builder<>(streams.length);
for (DoubleStream stream : streams) {
isParallel |= stream.isParallel();
Spliterator.OfDouble splitr = stream.spliterator();
splitrsBuilder.add(splitr);
characteristics &= splitr.characteristics();
estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
}
return StreamSupport.doubleStream(
CollectSpliterators.flatMapToDouble(
splitrsBuilder.build().spliterator(),
splitr -> splitr,
characteristics,
estimatedSize),
isParallel)
.onClose(() -> closeAll(streams));
}
/**
* Returns a stream in which each element is the result of passing the corresponding element of
* each of {@code streamA} and {@code streamB} to {@code function}.
*
* For example:
*
*
{@code
* Streams.zip(
* Stream.of("foo1", "foo2", "foo3"),
* Stream.of("bar1", "bar2"),
* (arg1, arg2) -> arg1 + ":" + arg2)
* }
*
* will return {@code Stream.of("foo1:bar1", "foo2:bar2")}.
*
*
The resulting stream will only be as long as the shorter of the two input streams; if one
* stream is longer, its extra elements will be ignored.
*
*
Note that if you are calling {@link Stream#forEach} on the resulting stream, you might want
* to consider using {@link #forEachPair} instead of this method.
*
*
Performance note: The resulting stream is not efficiently splittable.
* This may harm parallel performance.
*/
@Beta
public static
Stream zip(
Stream streamA, Stream streamB, BiFunction function) {
checkNotNull(streamA);
checkNotNull(streamB);
checkNotNull(function);
boolean isParallel = streamA.isParallel() || streamB.isParallel(); // same as Stream.concat
Spliterator splitrA = streamA.spliterator();
Spliterator splitrB = streamB.spliterator();
int characteristics =
splitrA.characteristics()
& splitrB.characteristics()
& (Spliterator.SIZED | Spliterator.ORDERED);
Iterator itrA = Spliterators.iterator(splitrA);
Iterator itrB = Spliterators.iterator(splitrB);
return StreamSupport.stream(
new AbstractSpliterator(
min(splitrA.estimateSize(), splitrB.estimateSize()), characteristics) {
@Override
public boolean tryAdvance(Consumer action) {
if (itrA.hasNext() && itrB.hasNext()) {
action.accept(function.apply(itrA.next(), itrB.next()));
return true;
}
return false;
}
},
isParallel)
.onClose(streamA::close)
.onClose(streamB::close);
}
/**
* Invokes {@code consumer} once for each pair of corresponding elements in {@code streamA}
* and {@code streamB}. If one stream is longer than the other, the extra elements are silently
* ignored. Elements passed to the consumer are guaranteed to come from the same position in their
* respective source streams. For example:
*
* {@code
* Streams.forEachPair(
* Stream.of("foo1", "foo2", "foo3"),
* Stream.of("bar1", "bar2"),
* (arg1, arg2) -> System.out.println(arg1 + ":" + arg2)
* }
*
* will print:
*
*
{@code
* foo1:bar1
* foo2:bar2
* }
*
* Warning: If either supplied stream is a parallel stream, the same correspondence
* between elements will be made, but the order in which those pairs of elements are passed to the
* consumer is not defined.
*
*
Note that many usages of this method can be replaced with simpler calls to {@link #zip}.
* This method behaves equivalently to {@linkplain #zip zipping} the stream elements into
* temporary pair objects and then using {@link Stream#forEach} on that stream.
*
* @since 22.0
*/
@Beta
public static void forEachPair(
Stream streamA, Stream streamB, BiConsumer consumer) {
checkNotNull(consumer);
if (streamA.isParallel() || streamB.isParallel()) {
zip(streamA, streamB, TemporaryPair::new).forEach(pair -> consumer.accept(pair.a, pair.b));
} else {
Iterator iterA = streamA.iterator();
Iterator iterB = streamB.iterator();
while (iterA.hasNext() && iterB.hasNext()) {
consumer.accept(iterA.next(), iterB.next());
}
}
}
// Use this carefully - it doesn't implement value semantics
private static class TemporaryPair {
@ParametricNullness final A a;
@ParametricNullness final B b;
TemporaryPair(@ParametricNullness A a, @ParametricNullness B b) {
this.a = a;
this.b = b;
}
}
/**
* Returns a stream consisting of the results of applying the given function to the elements of
* {@code stream} and their indices in the stream. For example,
*
* {@code
* mapWithIndex(
* Stream.of("a", "b", "c"),
* (e, index) -> index + ":" + e)
* }
*
* would return {@code Stream.of("0:a", "1:b", "2:c")}.
*
*
The resulting stream is efficiently splittable
* if and only if {@code stream} was efficiently splittable and its underlying spliterator
* reported {@link Spliterator#SUBSIZED}. This is generally the case if the underlying stream
* comes from a data structure supporting efficient indexed random access, typically an array or
* list.
*
*
The order of the resulting stream is defined if and only if the order of the original stream
* was defined.
*/
public static Stream mapWithIndex(
Stream stream, FunctionWithIndex function) {
checkNotNull(stream);
checkNotNull(function);
boolean isParallel = stream.isParallel();
Spliterator fromSpliterator = stream.spliterator();
if (!fromSpliterator.hasCharacteristics(Spliterator.SUBSIZED)) {
Iterator fromIterator = Spliterators.iterator(fromSpliterator);
return StreamSupport.stream(
new AbstractSpliterator(
fromSpliterator.estimateSize(),
fromSpliterator.characteristics() & (Spliterator.ORDERED | Spliterator.SIZED)) {
long index = 0;
@Override
public boolean tryAdvance(Consumer action) {
if (fromIterator.hasNext()) {
action.accept(function.apply(fromIterator.next(), index++));
return true;
}
return false;
}
},
isParallel)
.onClose(stream::close);
}
class Splitr extends MapWithIndexSpliterator, R, Splitr> implements Consumer {
@CheckForNull T holder;
Splitr(Spliterator splitr, long index) {
super(splitr, index);
}
@Override
public void accept(@ParametricNullness T t) {
this.holder = t;
}
@Override
public boolean tryAdvance(Consumer action) {
if (fromSpliterator.tryAdvance(this)) {
try {
// The cast is safe because tryAdvance puts a T into `holder`.
action.accept(function.apply(uncheckedCastNullableTToT(holder), index++));
return true;
} finally {
holder = null;
}
}
return false;
}
@Override
Splitr createSplit(Spliterator from, long i) {
return new Splitr(from, i);
}
}
return StreamSupport.stream(new Splitr(fromSpliterator, 0), isParallel).onClose(stream::close);
}
/**
* Returns a stream consisting of the results of applying the given function to the elements of
* {@code stream} and their indexes in the stream. For example,
*
* {@code
* mapWithIndex(
* IntStream.of(10, 11, 12),
* (e, index) -> index + ":" + e)
* }
*
* ...would return {@code Stream.of("0:10", "1:11", "2:12")}.
*
*
The resulting stream is efficiently splittable
* if and only if {@code stream} was efficiently splittable and its underlying spliterator
* reported {@link Spliterator#SUBSIZED}. This is generally the case if the underlying stream
* comes from a data structure supporting efficient indexed random access, typically an array or
* list.
*
*
The order of the resulting stream is defined if and only if the order of the original stream
* was defined.
*/
public static Stream mapWithIndex(
IntStream stream, IntFunctionWithIndex function) {
checkNotNull(stream);
checkNotNull(function);
boolean isParallel = stream.isParallel();
Spliterator.OfInt fromSpliterator = stream.spliterator();
if (!fromSpliterator.hasCharacteristics(Spliterator.SUBSIZED)) {
PrimitiveIterator.OfInt fromIterator = Spliterators.iterator(fromSpliterator);
return StreamSupport.stream(
new AbstractSpliterator(
fromSpliterator.estimateSize(),
fromSpliterator.characteristics() & (Spliterator.ORDERED | Spliterator.SIZED)) {
long index = 0;
@Override
public boolean tryAdvance(Consumer action) {
if (fromIterator.hasNext()) {
action.accept(function.apply(fromIterator.nextInt(), index++));
return true;
}
return false;
}
},
isParallel)
.onClose(stream::close);
}
class Splitr extends MapWithIndexSpliterator
implements IntConsumer, Spliterator {
int holder;
Splitr(Spliterator.OfInt splitr, long index) {
super(splitr, index);
}
@Override
public void accept(int t) {
this.holder = t;
}
@Override
public boolean tryAdvance(Consumer action) {
if (fromSpliterator.tryAdvance(this)) {
action.accept(function.apply(holder, index++));
return true;
}
return false;
}
@Override
Splitr createSplit(Spliterator.OfInt from, long i) {
return new Splitr(from, i);
}
}
return StreamSupport.stream(new Splitr(fromSpliterator, 0), isParallel).onClose(stream::close);
}
/**
* Returns a stream consisting of the results of applying the given function to the elements of
* {@code stream} and their indexes in the stream. For example,
*
* {@code
* mapWithIndex(
* LongStream.of(10, 11, 12),
* (e, index) -> index + ":" + e)
* }
*
* ...would return {@code Stream.of("0:10", "1:11", "2:12")}.
*
*
The resulting stream is efficiently splittable
* if and only if {@code stream} was efficiently splittable and its underlying spliterator
* reported {@link Spliterator#SUBSIZED}. This is generally the case if the underlying stream
* comes from a data structure supporting efficient indexed random access, typically an array or
* list.
*
*
The order of the resulting stream is defined if and only if the order of the original stream
* was defined.
*/
public static Stream mapWithIndex(
LongStream stream, LongFunctionWithIndex function) {
checkNotNull(stream);
checkNotNull(function);
boolean isParallel = stream.isParallel();
Spliterator.OfLong fromSpliterator = stream.spliterator();
if (!fromSpliterator.hasCharacteristics(Spliterator.SUBSIZED)) {
PrimitiveIterator.OfLong fromIterator = Spliterators.iterator(fromSpliterator);
return StreamSupport.stream(
new AbstractSpliterator(
fromSpliterator.estimateSize(),
fromSpliterator.characteristics() & (Spliterator.ORDERED | Spliterator.SIZED)) {
long index = 0;
@Override
public boolean tryAdvance(Consumer action) {
if (fromIterator.hasNext()) {
action.accept(function.apply(fromIterator.nextLong(), index++));
return true;
}
return false;
}
},
isParallel)
.onClose(stream::close);
}
class Splitr extends MapWithIndexSpliterator
implements LongConsumer, Spliterator {
long holder;
Splitr(Spliterator.OfLong splitr, long index) {
super(splitr, index);
}
@Override
public void accept(long t) {
this.holder = t;
}
@Override
public boolean tryAdvance(Consumer action) {
if (fromSpliterator.tryAdvance(this)) {
action.accept(function.apply(holder, index++));
return true;
}
return false;
}
@Override
Splitr createSplit(Spliterator.OfLong from, long i) {
return new Splitr(from, i);
}
}
return StreamSupport.stream(new Splitr(fromSpliterator, 0), isParallel).onClose(stream::close);
}
/**
* Returns a stream consisting of the results of applying the given function to the elements of
* {@code stream} and their indexes in the stream. For example,
*
* {@code
* mapWithIndex(
* DoubleStream.of(0.0, 1.0, 2.0)
* (e, index) -> index + ":" + e)
* }
*
* ...would return {@code Stream.of("0:0.0", "1:1.0", "2:2.0")}.
*
*
The resulting stream is efficiently splittable
* if and only if {@code stream} was efficiently splittable and its underlying spliterator
* reported {@link Spliterator#SUBSIZED}. This is generally the case if the underlying stream
* comes from a data structure supporting efficient indexed random access, typically an array or
* list.
*
*
The order of the resulting stream is defined if and only if the order of the original stream
* was defined.
*/
public static Stream mapWithIndex(
DoubleStream stream, DoubleFunctionWithIndex function) {
checkNotNull(stream);
checkNotNull(function);
boolean isParallel = stream.isParallel();
Spliterator.OfDouble fromSpliterator = stream.spliterator();
if (!fromSpliterator.hasCharacteristics(Spliterator.SUBSIZED)) {
PrimitiveIterator.OfDouble fromIterator = Spliterators.iterator(fromSpliterator);
return StreamSupport.stream(
new AbstractSpliterator(
fromSpliterator.estimateSize(),
fromSpliterator.characteristics() & (Spliterator.ORDERED | Spliterator.SIZED)) {
long index = 0;
@Override
public boolean tryAdvance(Consumer action) {
if (fromIterator.hasNext()) {
action.accept(function.apply(fromIterator.nextDouble(), index++));
return true;
}
return false;
}
},
isParallel)
.onClose(stream::close);
}
class Splitr extends MapWithIndexSpliterator
implements DoubleConsumer, Spliterator {
double holder;
Splitr(Spliterator.OfDouble splitr, long index) {
super(splitr, index);
}
@Override
public void accept(double t) {
this.holder = t;
}
@Override
public boolean tryAdvance(Consumer action) {
if (fromSpliterator.tryAdvance(this)) {
action.accept(function.apply(holder, index++));
return true;
}
return false;
}
@Override
Splitr createSplit(Spliterator.OfDouble from, long i) {
return new Splitr(from, i);
}
}
return StreamSupport.stream(new Splitr(fromSpliterator, 0), isParallel).onClose(stream::close);
}
/**
* An analogue of {@link java.util.function.Function} also accepting an index.
*
* This interface is only intended for use by callers of {@link #mapWithIndex(Stream,
* FunctionWithIndex)}.
*
* @since 21.0
*/
public interface FunctionWithIndex {
/** Applies this function to the given argument and its index within a stream. */
@ParametricNullness
R apply(@ParametricNullness T from, long index);
}
private abstract static class MapWithIndexSpliterator<
F extends Spliterator,
R extends @Nullable Object,
S extends MapWithIndexSpliterator>
implements Spliterator {
final F fromSpliterator;
long index;
MapWithIndexSpliterator(F fromSpliterator, long index) {
this.fromSpliterator = fromSpliterator;
this.index = index;
}
abstract S createSplit(F from, long i);
@Override
@CheckForNull
public S trySplit() {
Spliterator splitOrNull = fromSpliterator.trySplit();
if (splitOrNull == null) {
return null;
}
@SuppressWarnings("unchecked")
F split = (F) splitOrNull;
S result = createSplit(split, index);
this.index += split.getExactSizeIfKnown();
return result;
}
@Override
public long estimateSize() {
return fromSpliterator.estimateSize();
}
@Override
public int characteristics() {
return fromSpliterator.characteristics()
& (Spliterator.ORDERED | Spliterator.SIZED | Spliterator.SUBSIZED);
}
}
/**
* An analogue of {@link java.util.function.IntFunction} also accepting an index.
*
* This interface is only intended for use by callers of {@link #mapWithIndex(IntStream,
* IntFunctionWithIndex)}.
*
* @since 21.0
*/
public interface IntFunctionWithIndex {
/** Applies this function to the given argument and its index within a stream. */
@ParametricNullness
R apply(int from, long index);
}
/**
* An analogue of {@link java.util.function.LongFunction} also accepting an index.
*
* This interface is only intended for use by callers of {@link #mapWithIndex(LongStream,
* LongFunctionWithIndex)}.
*
* @since 21.0
*/
public interface LongFunctionWithIndex {
/** Applies this function to the given argument and its index within a stream. */
@ParametricNullness
R apply(long from, long index);
}
/**
* An analogue of {@link java.util.function.DoubleFunction} also accepting an index.
*
* This interface is only intended for use by callers of {@link #mapWithIndex(DoubleStream,
* DoubleFunctionWithIndex)}.
*
* @since 21.0
*/
public interface DoubleFunctionWithIndex {
/** Applies this function to the given argument and its index within a stream. */
@ParametricNullness
R apply(double from, long index);
}
/**
* Returns the last element of the specified stream, or {@link java.util.Optional#empty} if the
* stream is empty.
*
* Equivalent to {@code stream.reduce((a, b) -> b)}, but may perform significantly better. This
* method's runtime will be between O(log n) and O(n), performing better on efficiently splittable
* streams.
*
*
If the stream has nondeterministic order, this has equivalent semantics to {@link
* Stream#findAny} (which you might as well use).
*
* @see Stream#findFirst()
* @throws NullPointerException if the last element of the stream is null
*/
/*
* By declaring instead of , we declare this method as requiring a
* stream whose elements are non-null. However, the method goes out of its way to still handle
* nulls in the stream. This means that the method can safely be used with a stream that contains
* nulls as long as the *last* element is *not* null.
*
* (To "go out of its way," the method tracks a `set` bit so that it can distinguish "the final
* split has a last element of null, so throw NPE" from "the final split was empty, so look for an
* element in the prior one.")
*/
public static java.util.Optional findLast(Stream stream) {
class OptionalState {
boolean set = false;
@CheckForNull T value = null;
void set(T value) {
this.set = true;
this.value = value;
}
T get() {
/*
* requireNonNull is safe because we call get() only if we've previously called set().
*
* (For further discussion of nullness, see the comment above the method.)
*/
return requireNonNull(value);
}
}
OptionalState state = new OptionalState();
Deque> splits = new ArrayDeque<>();
splits.addLast(stream.spliterator());
while (!splits.isEmpty()) {
Spliterator spliterator = splits.removeLast();
if (spliterator.getExactSizeIfKnown() == 0) {
continue; // drop this split
}
// Many spliterators will have trySplits that are SUBSIZED even if they are not themselves
// SUBSIZED.
if (spliterator.hasCharacteristics(Spliterator.SUBSIZED)) {
// we can drill down to exactly the smallest nonempty spliterator
while (true) {
Spliterator prefix = spliterator.trySplit();
if (prefix == null || prefix.getExactSizeIfKnown() == 0) {
break;
} else if (spliterator.getExactSizeIfKnown() == 0) {
spliterator = prefix;
break;
}
}
// spliterator is known to be nonempty now
spliterator.forEachRemaining(state::set);
return java.util.Optional.of(state.get());
}
Spliterator prefix = spliterator.trySplit();
if (prefix == null || prefix.getExactSizeIfKnown() == 0) {
// we can't split this any further
spliterator.forEachRemaining(state::set);
if (state.set) {
return java.util.Optional.of(state.get());
}
// fall back to the last split
continue;
}
splits.addLast(prefix);
splits.addLast(spliterator);
}
return java.util.Optional.empty();
}
/**
* Returns the last element of the specified stream, or {@link OptionalInt#empty} if the stream is
* empty.
*
* Equivalent to {@code stream.reduce((a, b) -> b)}, but may perform significantly better. This
* method's runtime will be between O(log n) and O(n), performing better on efficiently splittable
* streams.
*
* @see IntStream#findFirst()
* @throws NullPointerException if the last element of the stream is null
*/
public static OptionalInt findLast(IntStream stream) {
// findLast(Stream) does some allocation, so we might as well box some more
java.util.Optional boxedLast = findLast(stream.boxed());
return boxedLast.map(OptionalInt::of).orElse(OptionalInt.empty());
}
/**
* Returns the last element of the specified stream, or {@link OptionalLong#empty} if the stream
* is empty.
*
* Equivalent to {@code stream.reduce((a, b) -> b)}, but may perform significantly better. This
* method's runtime will be between O(log n) and O(n), performing better on efficiently splittable
* streams.
*
* @see LongStream#findFirst()
* @throws NullPointerException if the last element of the stream is null
*/
public static OptionalLong findLast(LongStream stream) {
// findLast(Stream) does some allocation, so we might as well box some more
java.util.Optional boxedLast = findLast(stream.boxed());
return boxedLast.map(OptionalLong::of).orElse(OptionalLong.empty());
}
/**
* Returns the last element of the specified stream, or {@link OptionalDouble#empty} if the stream
* is empty.
*
* Equivalent to {@code stream.reduce((a, b) -> b)}, but may perform significantly better. This
* method's runtime will be between O(log n) and O(n), performing better on efficiently splittable
* streams.
*
* @see DoubleStream#findFirst()
* @throws NullPointerException if the last element of the stream is null
*/
public static OptionalDouble findLast(DoubleStream stream) {
// findLast(Stream) does some allocation, so we might as well box some more
java.util.Optional boxedLast = findLast(stream.boxed());
return boxedLast.map(OptionalDouble::of).orElse(OptionalDouble.empty());
}
private Streams() {}
}