Added in API level 24

Summary: Nested Classes | Methods | Inherited Methods

IntStream

public interface IntStream
implements BaseStream<Integer, IntStream>

java.util.stream.IntStream

A sequence of primitive int-valued elements supporting sequential and parallel aggregate operations. This is the int primitive specialization of Stream.

The following example illustrates an aggregate operation using Stream and IntStream, computing the sum of the weights of the red widgets:

int sum = widgets.stream()
                      .filter(w -> w.getColor() == RED)
                      .mapToInt(w -> w.getWeight())
                      .sum();

See the class documentation for Stream and the package documentation for java.util.stream for additional specification of streams, stream operations, stream pipelines, and parallelism.

See also:

Summary

Nested classes
`interface`	`IntStream.Builder` A mutable builder for an `IntStream`.
`interface`	`IntStream.IntMapMultiConsumer` Represents an operation that accepts an `int`-valued argument and an IntConsumer, and returns no result.

Public methods
`abstract boolean`	`allMatch(IntPredicate predicate)` Returns whether all elements of this stream match the provided predicate.
`abstract boolean`	`anyMatch(IntPredicate predicate)` Returns whether any elements of this stream match the provided predicate.
`abstract DoubleStream`	`asDoubleStream()` Returns a `DoubleStream` consisting of the elements of this stream, converted to `double`.
`abstract LongStream`	`asLongStream()` Returns a `LongStream` consisting of the elements of this stream, converted to `long`.
`abstract OptionalDouble`	`average()` Returns an `OptionalDouble` describing the arithmetic mean of elements of this stream, or an empty optional if this stream is empty.
`abstract Stream<Integer>`	`boxed()` Returns a `Stream` consisting of the elements of this stream, each boxed to an `Integer`.
`static IntStream.Builder`	`builder()` Returns a builder for an `IntStream`.
`abstract <R> R`	`collect(Supplier<R> supplier, ObjIntConsumer<R> accumulator, BiConsumer<R, R> combiner)` Performs a mutable reduction operation on the elements of this stream.
`static IntStream`	`concat(IntStream a, IntStream b)` Creates a lazily concatenated stream whose elements are all the elements of the first stream followed by all the elements of the second stream.
`abstract long`	`count()` Returns the count of elements in this stream.
`abstract IntStream`	`distinct()` Returns a stream consisting of the distinct elements of this stream.
`default IntStream`	`dropWhile(IntPredicate predicate)` Returns, if this stream is ordered, a stream consisting of the remaining elements of this stream after dropping the longest prefix of elements that match the given predicate.
`static IntStream`	`empty()` Returns an empty sequential `IntStream`.
`abstract IntStream`	`filter(IntPredicate predicate)` Returns a stream consisting of the elements of this stream that match the given predicate.
`abstract OptionalInt`	`findAny()` Returns an `OptionalInt` describing some element of the stream, or an empty `OptionalInt` if the stream is empty.
`abstract OptionalInt`	`findFirst()` Returns an `OptionalInt` describing the first element of this stream, or an empty `OptionalInt` if the stream is empty.
`abstract IntStream`	`flatMap(IntFunction<? extends IntStream> mapper)` Returns a stream consisting of the results of replacing each element of this stream with the contents of a mapped stream produced by applying the provided mapping function to each element.
`abstract void`	`forEach(IntConsumer action)` Performs an action for each element of this stream.
`abstract void`	`forEachOrdered(IntConsumer action)` Performs an action for each element of this stream, guaranteeing that each element is processed in encounter order for streams that have a defined encounter order.
`static IntStream`	`generate(IntSupplier s)` Returns an infinite sequential unordered stream where each element is generated by the provided `IntSupplier`.
`static IntStream`	`iterate(int seed, IntUnaryOperator f)` Returns an infinite sequential ordered `IntStream` produced by iterative application of a function `f` to an initial element `seed`, producing a `Stream` consisting of `seed`, `f(seed)`, `f(f(seed))`, etc.
`static IntStream`	`iterate(int seed, IntPredicate hasNext, IntUnaryOperator next)` Returns a sequential ordered `IntStream` produced by iterative application of the given `next` function to an initial element, conditioned on satisfying the given `hasNext` predicate.
`abstract PrimitiveIterator.OfInt`	`iterator()` Returns an iterator for the elements of this stream.
`abstract IntStream`	`limit(long maxSize)` Returns a stream consisting of the elements of this stream, truncated to be no longer than `maxSize` in length.
`abstract IntStream`	`map(IntUnaryOperator mapper)` Returns a stream consisting of the results of applying the given function to the elements of this stream.
`default IntStream`	`mapMulti(IntStream.IntMapMultiConsumer mapper)` Returns a stream consisting of the results of replacing each element of this stream with multiple elements, specifically zero or more elements.
`abstract DoubleStream`	`mapToDouble(IntToDoubleFunction mapper)` Returns a `DoubleStream` consisting of the results of applying the given function to the elements of this stream.
`abstract LongStream`	`mapToLong(IntToLongFunction mapper)` Returns a `LongStream` consisting of the results of applying the given function to the elements of this stream.
`abstract <U> Stream<U>`	`mapToObj(IntFunction<? extends U> mapper)` Returns an object-valued `Stream` consisting of the results of applying the given function to the elements of this stream.
`abstract OptionalInt`	`max()` Returns an `OptionalInt` describing the maximum element of this stream, or an empty optional if this stream is empty.
`abstract OptionalInt`	`min()` Returns an `OptionalInt` describing the minimum element of this stream, or an empty optional if this stream is empty.
`abstract boolean`	`noneMatch(IntPredicate predicate)` Returns whether no elements of this stream match the provided predicate.
`static IntStream`	`of(int t)` Returns a sequential `IntStream` containing a single element.
`static IntStream`	`of(int... values)` Returns a sequential ordered stream whose elements are the specified values.
`abstract IntStream`	`parallel()` Returns an equivalent stream that is parallel.
`abstract IntStream`	`peek(IntConsumer action)` Returns a stream consisting of the elements of this stream, additionally performing the provided action on each element as elements are consumed from the resulting stream.
`static IntStream`	`range(int startInclusive, int endExclusive)` Returns a sequential ordered `IntStream` from `startInclusive` (inclusive) to `endExclusive` (exclusive) by an incremental step of `1`.
`static IntStream`	`rangeClosed(int startInclusive, int endInclusive)` Returns a sequential ordered `IntStream` from `startInclusive` (inclusive) to `endInclusive` (inclusive) by an incremental step of `1`.
`abstract OptionalInt`	`reduce(IntBinaryOperator op)` Performs a reduction on the elements of this stream, using an associative accumulation function, and returns an `OptionalInt` describing the reduced value, if any.
`abstract int`	`reduce(int identity, IntBinaryOperator op)` Performs a reduction on the elements of this stream, using the provided identity value and an associative accumulation function, and returns the reduced value.
`abstract IntStream`	`sequential()` Returns an equivalent stream that is sequential.
`abstract IntStream`	`skip(long n)` Returns a stream consisting of the remaining elements of this stream after discarding the first `n` elements of the stream.
`abstract IntStream`	`sorted()` Returns a stream consisting of the elements of this stream in sorted order.
`abstract Spliterator.OfInt`	`spliterator()` Returns a spliterator for the elements of this stream.
`abstract int`	`sum()` Returns the sum of elements in this stream.
`abstract IntSummaryStatistics`	`summaryStatistics()` Returns an `IntSummaryStatistics` describing various summary data about the elements of this stream.
`default IntStream`	`takeWhile(IntPredicate predicate)` Returns, if this stream is ordered, a stream consisting of the longest prefix of elements taken from this stream that match the given predicate.
`abstract int[]`	`toArray()` Returns an array containing the elements of this stream.

Inherited methods

From interface


        
          java.util.stream.BaseStream

`abstract void`	`close()` Closes this stream, causing all close handlers for this stream pipeline to be called.
`abstract boolean`	`isParallel()` Returns whether this stream, if a terminal operation were to be executed, would execute in parallel.
`abstract Iterator<Integer>`	`iterator()` Returns an iterator for the elements of this stream.
`abstract S`	`onClose(Runnable closeHandler)` Returns an equivalent stream with an additional close handler.
`abstract S`	`parallel()` Returns an equivalent stream that is parallel.
`abstract S`	`sequential()` Returns an equivalent stream that is sequential.
`abstract Spliterator<Integer>`	`spliterator()` Returns a spliterator for the elements of this stream.
`abstract S`	`unordered()` Returns an equivalent stream that is unordered.

From interface


        
          java.lang.AutoCloseable


      close()

Closes this resource, relinquishing any underlying resources.

Public methods

allMatch

Added in API level 24

public abstract boolean allMatch (IntPredicate predicate)

Returns whether all elements of this stream match the provided predicate. May not evaluate the predicate on all elements if not necessary for determining the result. If the stream is empty then true is returned and the predicate is not evaluated.

This is a short-circuiting terminal operation.

API Note:

This method evaluates the universal quantification of the predicate over the elements of the stream (for all x P(x)). If the stream is empty, the quantification is said to be vacuously satisfied and is always true (regardless of P(x)).

Parameters
`predicate`	`IntPredicate`: a non-interfering, stateless predicate to apply to elements of this stream

Returns
`boolean`	`true` if either all elements of the stream match the provided predicate or the stream is empty, otherwise `false`

anyMatch

Added in API level 24

public abstract boolean anyMatch (IntPredicate predicate)

Returns whether any elements of this stream match the provided predicate. May not evaluate the predicate on all elements if not necessary for determining the result. If the stream is empty then false is returned and the predicate is not evaluated.

This is a short-circuiting terminal operation.

API Note:

This method evaluates the existential quantification of the predicate over the elements of the stream (for some x P(x)).

Parameters
`predicate`	`IntPredicate`: a non-interfering, stateless predicate to apply to elements of this stream

Returns
`boolean`	`true` if any elements of the stream match the provided predicate, otherwise `false`

asDoubleStream

Added in API level 24

public abstract DoubleStream asDoubleStream ()

Returns a DoubleStream consisting of the elements of this stream, converted to double.

This is an intermediate operation.

Returns
`DoubleStream`	a `DoubleStream` consisting of the elements of this stream, converted to `double`

asLongStream

Added in API level 24

public abstract LongStream asLongStream ()

Returns a LongStream consisting of the elements of this stream, converted to long.

This is an intermediate operation.

Returns
`LongStream`	a `LongStream` consisting of the elements of this stream, converted to `long`

average

Added in API level 24

public abstract OptionalDouble average ()

Returns an OptionalDouble describing the arithmetic mean of elements of this stream, or an empty optional if this stream is empty. This is a special case of a reduction.

This is a terminal operation.

Returns
`OptionalDouble`	an `OptionalDouble` containing the average element of this stream, or an empty optional if the stream is empty

boxed

Added in API level 24

public abstract Stream<Integer> boxed ()

Returns a Stream consisting of the elements of this stream, each boxed to an Integer.

This is an intermediate operation.

Returns
`Stream<Integer>`	a `Stream` consistent of the elements of this stream, each boxed to an `Integer`

builder

Added in API level 24

public static IntStream.Builder builder ()

Returns a builder for an IntStream.

Returns
`IntStream.Builder`	a stream builder

collect

Added in API level 24

public abstract R collect (Supplier<R> supplier, 
                ObjIntConsumer<R> accumulator, 
                BiConsumer<R, R> combiner)

Performs a mutable reduction operation on the elements of this stream. A mutable reduction is one in which the reduced value is a mutable result container, such as an ArrayList, and elements are incorporated by updating the state of the result rather than by replacing the result. This produces a result equivalent to:

R result = supplier.get();
     for (int element : this stream)
         accumulator.accept(result, element);
     return result;

Like reduce(int, java.util.function.IntBinaryOperator), collect operations can be parallelized without requiring additional synchronization.

This is a terminal operation.

Parameters
`supplier`	`Supplier`: a function that creates a new mutable result container. For a parallel execution, this function may be called multiple times and must return a fresh value each time.
`accumulator`	`ObjIntConsumer`: an associative, non-interfering, stateless function that must fold an element into a result container.
`combiner`	`BiConsumer`: an associative, non-interfering, stateless function that accepts two partial result containers and merges them, which must be compatible with the accumulator function. The combiner function must fold the elements from the second result container into the first result container.

Returns
`R`	the result of the reduction

See also:

Stream.collect(Supplier, BiConsumer, BiConsumer)

concat

Added in API level 24

public static IntStream concat (IntStream a, 
                IntStream b)

Creates a lazily concatenated stream whose elements are all the elements of the first stream followed by all the elements of the second stream. The resulting stream is ordered if both of the input streams are ordered, and parallel if either of the input streams is parallel. When the resulting stream is closed, the close handlers for both input streams are invoked.

This method operates on the two input streams and binds each stream to its source. As a result subsequent modifications to an input stream source may not be reflected in the concatenated stream result.

Implementation Note:

Use caution when constructing streams from repeated concatenation. Accessing an element of a deeply concatenated stream can result in deep call chains, or even StackOverflowError.

API Note:

To preserve optimization opportunities this method binds each stream to its source and accepts only two streams as parameters. For example, the exact size of the concatenated stream source can be computed if the exact size of each input stream source is known. To concatenate more streams without binding, or without nested calls to this method, try creating a stream of streams and flat-mapping with the identity function, for example:
```
IntStream concat = Stream.of(s1, s2, s3, s4).flatMapToInt(s -> s);
 
```

Parameters
`a`	`IntStream`: the first stream
`b`	`IntStream`: the second stream

Returns
`IntStream`	the concatenation of the two input streams

count

Added in API level 24

public abstract long count ()

Returns the count of elements in this stream. This is a special case of a reduction and is equivalent to:

return mapToLong(e -> 1L).sum();

This is a terminal operation.

API Note:

An implementation may choose to not execute the stream pipeline (either sequentially or in parallel) if it is capable of computing the count directly from the stream source. In such cases no source elements will be traversed and no intermediate operations will be evaluated. Behavioral parameters with side-effects, which are strongly discouraged except for harmless cases such as debugging, may be affected. For example, consider the following stream:
```
IntStream s = IntStream.of(1, 2, 3, 4);
     long count = s.peek(System.out::println).count();
 
```
The number of elements covered by the stream source is known and the intermediate operation, peek, does not inject into or remove elements from the stream (as may be the case for flatMap or filter operations). Thus the count is 4 and there is no need to execute the pipeline and, as a side-effect, print out the elements.

Returns
`long`	the count of elements in this stream

distinct

Added in API level 24

public abstract IntStream distinct ()

Returns a stream consisting of the distinct elements of this stream.

This is a stateful intermediate operation.

Returns
`IntStream`	the new stream

dropWhile

Added in API level 35

public IntStream dropWhile (IntPredicate predicate)

Returns, if this stream is ordered, a stream consisting of the remaining elements of this stream after dropping the longest prefix of elements that match the given predicate. Otherwise returns, if this stream is unordered, a stream consisting of the remaining elements of this stream after dropping a subset of elements that match the given predicate.

If this stream is ordered then the longest prefix is a contiguous sequence of elements of this stream that match the given predicate. The first element of the sequence is the first element of this stream, and the element immediately following the last element of the sequence does not match the given predicate.

If this stream is unordered, and some (but not all) elements of this stream match the given predicate, then the behavior of this operation is nondeterministic; it is free to drop any subset of matching elements (which includes the empty set).

Independent of whether this stream is ordered or unordered if all elements of this stream match the given predicate then this operation drops all elements (the result is an empty stream), or if no elements of the stream match the given predicate then no elements are dropped (the result is the same as the input).

This is a stateful intermediate operation.

Implementation Requirements:

The default implementation obtains the spliterator of this stream, wraps that spliterator so as to support the semantics of this operation on traversal, and returns a new stream associated with the wrapped spliterator. The returned stream preserves the execution characteristics of this stream (namely parallel or sequential execution as per BaseStream.isParallel()) but the wrapped spliterator may choose to not support splitting. When the returned stream is closed, the close handlers for both the returned and this stream are invoked.

API Note:

While dropWhile() is generally a cheap operation on sequential stream pipelines, it can be quite expensive on ordered parallel pipelines, since the operation is constrained to return not just any valid prefix, but the longest prefix of elements in the encounter order. Using an unordered stream source (such as generate(java.util.function.IntSupplier)) or removing the ordering constraint with BaseStream.unordered() may result in significant speedups of dropWhile() in parallel pipelines, if the semantics of your situation permit. If consistency with encounter order is required, and you are experiencing poor performance or memory utilization with dropWhile() in parallel pipelines, switching to sequential execution with sequential() may improve performance.

Parameters
`predicate`	`IntPredicate`: a non-interfering, stateless predicate to apply to elements to determine the longest prefix of elements.

Returns
`IntStream`	the new stream

empty

Added in API level 24

public static IntStream empty ()

Returns an empty sequential IntStream.

Returns
`IntStream`	an empty sequential stream

filter

Added in API level 24

public abstract IntStream filter (IntPredicate predicate)

Returns a stream consisting of the elements of this stream that match the given predicate.

This is an intermediate operation.

Parameters
`predicate`	`IntPredicate`: a non-interfering, stateless predicate to apply to each element to determine if it should be included

Returns
`IntStream`	the new stream

findAny

Added in API level 24

public abstract OptionalInt findAny ()

Returns an OptionalInt describing some element of the stream, or an empty OptionalInt if the stream is empty.

This is a short-circuiting terminal operation.

The behavior of this operation is explicitly nondeterministic; it is free to select any element in the stream. This is to allow for maximal performance in parallel operations; the cost is that multiple invocations on the same source may not return the same result. (If a stable result is desired, use findFirst() instead.)

Returns
`OptionalInt`	an `OptionalInt` describing some element of this stream, or an empty `OptionalInt` if the stream is empty

See also:

findFirst()

findFirst

Added in API level 24

public abstract OptionalInt findFirst ()

Returns an OptionalInt describing the first element of this stream, or an empty OptionalInt if the stream is empty. If the stream has no encounter order, then any element may be returned.

This is a short-circuiting terminal operation.

Returns
`OptionalInt`	an `OptionalInt` describing the first element of this stream, or an empty `OptionalInt` if the stream is empty

flatMap

Added in API level 24

public abstract IntStream flatMap (IntFunction<? extends IntStream> mapper)

Returns a stream consisting of the results of replacing each element of this stream with the contents of a mapped stream produced by applying the provided mapping function to each element. Each mapped stream is closed after its contents have been placed into this stream. (If a mapped stream is null an empty stream is used, instead.)

This is an intermediate operation.

Parameters
`mapper`	`IntFunction`: a non-interfering, stateless function to apply to each element which produces an `IntStream` of new values

Returns
`IntStream`	the new stream

See also:

Stream.flatMap(Function)

forEach

Added in API level 24

public abstract void forEach (IntConsumer action)

Performs an action for each element of this stream.

This is a terminal operation.

For parallel stream pipelines, this operation does not guarantee to respect the encounter order of the stream, as doing so would sacrifice the benefit of parallelism. For any given element, the action may be performed at whatever time and in whatever thread the library chooses. If the action accesses shared state, it is responsible for providing the required synchronization.

Parameters
`action`	`IntConsumer`: a non-interfering action to perform on the elements

forEachOrdered

Added in API level 24

public abstract void forEachOrdered (IntConsumer action)

Performs an action for each element of this stream, guaranteeing that each element is processed in encounter order for streams that have a defined encounter order.

This is a terminal operation.

Parameters
`action`	`IntConsumer`: a non-interfering action to perform on the elements

See also:

forEach(IntConsumer)

generate

Added in API level 24

public static IntStream generate (IntSupplier s)

Returns an infinite sequential unordered stream where each element is generated by the provided IntSupplier. This is suitable for generating constant streams, streams of random elements, etc.

Parameters
`s`	`IntSupplier`: the `IntSupplier` for generated elements

Returns
`IntStream`	a new infinite sequential unordered `IntStream`

iterate

Added in API level 24

public static IntStream iterate (int seed, 
                IntUnaryOperator f)

Returns an infinite sequential ordered IntStream produced by iterative application of a function f to an initial element seed, producing a Stream consisting of seed, f(seed), f(f(seed)), etc.

The first element (position 0) in the IntStream will be the provided seed. For n > 0, the element at position n, will be the result of applying the function f to the element at position n - 1.

The action of applying f for one element happens-before the action of applying f for subsequent elements. For any given element the action may be performed in whatever thread the library chooses.

Parameters
`seed`	`int`: the initial element
`f`	`IntUnaryOperator`: a function to be applied to the previous element to produce a new element

Returns
`IntStream`	a new sequential `IntStream`

iterate

Added in API level 35

public static IntStream iterate (int seed, 
                IntPredicate hasNext, 
                IntUnaryOperator next)

Returns a sequential ordered IntStream produced by iterative application of the given next function to an initial element, conditioned on satisfying the given hasNext predicate. The stream terminates as soon as the hasNext predicate returns false.

IntStream.iterate should produce the same sequence of elements as produced by the corresponding for-loop:

for (int index=seed; hasNext.test(index); index = next.applyAsInt(index)) {
         ...
     }

The resulting sequence may be empty if the hasNext predicate does not hold on the seed value. Otherwise the first element will be the supplied seed value, the next element (if present) will be the result of applying the next function to the seed value, and so on iteratively until the hasNext predicate indicates that the stream should terminate.

The action of applying the hasNext predicate to an element happens-before the action of applying the next function to that element. The action of applying the next function for one element happens-before the action of applying the hasNext predicate for subsequent elements. For any given element an action may be performed in whatever thread the library chooses.

Parameters
`seed`	`int`: the initial element
`hasNext`	`IntPredicate`: a predicate to apply to elements to determine when the stream must terminate.
`next`	`IntUnaryOperator`: a function to be applied to the previous element to produce a new element

Returns
`IntStream`	a new sequential `IntStream`

iterator

Added in API level 24

public abstract PrimitiveIterator.OfInt iterator ()

Returns an iterator for the elements of this stream.

This is a terminal operation.

Returns
`PrimitiveIterator.OfInt`	the element iterator for this stream

limit

Added in API level 24

public abstract IntStream limit (long maxSize)

Returns a stream consisting of the elements of this stream, truncated to be no longer than maxSize in length.

This is a short-circuiting stateful intermediate operation.

API Note:

While limit() is generally a cheap operation on sequential stream pipelines, it can be quite expensive on ordered parallel pipelines, especially for large values of maxSize, since limit(n) is constrained to return not just any n elements, but the first n elements in the encounter order. Using an unordered stream source (such as generate(java.util.function.IntSupplier)) or removing the ordering constraint with BaseStream.unordered() may result in significant speedups of limit() in parallel pipelines, if the semantics of your situation permit. If consistency with encounter order is required, and you are experiencing poor performance or memory utilization with limit() in parallel pipelines, switching to sequential execution with sequential() may improve performance.

Parameters
`maxSize`	`long`: the number of elements the stream should be limited to

Returns
`IntStream`	the new stream

Throws
`IllegalArgumentException`	if `maxSize` is negative

map

Added in API level 24

public abstract IntStream map (IntUnaryOperator mapper)

Returns a stream consisting of the results of applying the given function to the elements of this stream.

This is an intermediate operation.

Parameters
`mapper`	`IntUnaryOperator`: a non-interfering, stateless function to apply to each element

Returns
`IntStream`	the new stream

mapMulti

Added in API level 35

public IntStream mapMulti (IntStream.IntMapMultiConsumer mapper)

Returns a stream consisting of the results of replacing each element of this stream with multiple elements, specifically zero or more elements. Replacement is performed by applying the provided mapping function to each element in conjunction with a consumer argument that accepts replacement elements. The mapping function calls the consumer zero or more times to provide the replacement elements.

This is an intermediate operation.

If the consumer argument is used outside the scope of its application to the mapping function, the results are undefined.

Implementation Requirements:

The default implementation invokes flatMap on this stream, passing a function that behaves as follows. First, it calls the mapper function with an IntConsumer that accumulates replacement elements into a newly created internal buffer. When the mapper function returns, it creates an IntStream from the internal buffer. Finally, it returns this stream to flatMap.

Parameters
`mapper`	`IntStream.IntMapMultiConsumer`: a non-interfering, stateless function that generates replacement elements

Returns
`IntStream`	the new stream

See also:

Stream.mapMulti

mapToDouble

Added in API level 24

public abstract DoubleStream mapToDouble (IntToDoubleFunction mapper)

Returns a DoubleStream consisting of the results of applying the given function to the elements of this stream.

This is an intermediate operation.

Parameters
`mapper`	`IntToDoubleFunction`: a non-interfering, stateless function to apply to each element

Returns
`DoubleStream`	the new stream

mapToLong

Added in API level 24

public abstract LongStream mapToLong (IntToLongFunction mapper)

Returns a LongStream consisting of the results of applying the given function to the elements of this stream.

This is an intermediate operation.

Parameters
`mapper`	`IntToLongFunction`: a non-interfering, stateless function to apply to each element

Returns
`LongStream`	the new stream

mapToObj

Added in API level 24

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

Returns an object-valued Stream consisting of the results of applying the given function to the elements of this stream.

This is an intermediate operation.

Parameters
`mapper`	`IntFunction`: a non-interfering, stateless function to apply to each element

Returns
`Stream<U>`	the new stream

max

Added in API level 24

public abstract OptionalInt max ()

Returns an OptionalInt describing the maximum element of this stream, or an empty optional if this stream is empty. This is a special case of a reduction and is equivalent to:

return reduce(Integer::max);

This is a terminal operation.

Returns
`OptionalInt`	an `OptionalInt` containing the maximum element of this stream, or an empty `OptionalInt` if the stream is empty

min

Added in API level 24

public abstract OptionalInt min ()

Returns an OptionalInt describing the minimum element of this stream, or an empty optional if this stream is empty. This is a special case of a reduction and is equivalent to:

return reduce(Integer::min);

This is a terminal operation.

Returns
`OptionalInt`	an `OptionalInt` containing the minimum element of this stream, or an empty `OptionalInt` if the stream is empty

noneMatch

Added in API level 24

public abstract boolean noneMatch (IntPredicate predicate)

Returns whether no elements of this stream match the provided predicate. May not evaluate the predicate on all elements if not necessary for determining the result. If the stream is empty then true is returned and the predicate is not evaluated.

This is a short-circuiting terminal operation.

API Note:

This method evaluates the universal quantification of the negated predicate over the elements of the stream (for all x ~P(x)). If the stream is empty, the quantification is said to be vacuously satisfied and is always true, regardless of P(x).

Parameters
`predicate`	`IntPredicate`: a non-interfering, stateless predicate to apply to elements of this stream

Returns
`boolean`	`true` if either no elements of the stream match the provided predicate or the stream is empty, otherwise `false`

of

Added in API level 24

public static IntStream of (int t)

Returns a sequential IntStream containing a single element.

Parameters
`t`	`int`: the single element

Returns
`IntStream`	a singleton sequential stream

of

Added in API level 24

public static IntStream of (int... values)

Returns a sequential ordered stream whose elements are the specified values.

Parameters
`values`	`int`: the elements of the new stream

Returns
`IntStream`	the new stream

parallel

Added in API level 24

public abstract IntStream parallel ()

Returns an equivalent stream that is parallel. May return itself, either because the stream was already parallel, or because the underlying stream state was modified to be parallel.

This is an intermediate operation.

Returns
`IntStream`	a parallel stream

peek

Added in API level 24

public abstract IntStream peek (IntConsumer action)

Returns a stream consisting of the elements of this stream, additionally performing the provided action on each element as elements are consumed from the resulting stream.

This is an intermediate operation.

For parallel stream pipelines, the action may be called at whatever time and in whatever thread the element is made available by the upstream operation. If the action modifies shared state, it is responsible for providing the required synchronization.

API Note:

This method exists mainly to support debugging, where you want to see the elements as they flow past a certain point in a pipeline:
```
IntStream.of(1, 2, 3, 4)
         .filter(e -> e > 2)
         .peek(e -> System.out.println("Filtered value: " + e))
         .map(e -> e * e)
         .peek(e -> System.out.println("Mapped value: " + e))
         .sum();
 
```
In cases where the stream implementation is able to optimize away the production of some or all the elements (such as with short-circuiting operations like findFirst, or in the example described in count()), the action will not be invoked for those elements.

Parameters
`action`	`IntConsumer`: a non-interfering action to perform on the elements as they are consumed from the stream

Returns
`IntStream`	the new stream

range

Added in API level 24

public static IntStream range (int startInclusive, 
                int endExclusive)

Returns a sequential ordered IntStream from startInclusive (inclusive) to endExclusive (exclusive) by an incremental step of 1.

API Note:

An equivalent sequence of increasing values can be produced sequentially using a for loop as follows:
```
for (int i = startInclusive; i < endExclusive ; i++) { ... }
 
```

Parameters
`startInclusive`	`int`: the (inclusive) initial value
`endExclusive`	`int`: the exclusive upper bound

Returns
`IntStream`	a sequential `IntStream` for the range of `int` elements

rangeClosed

Added in API level 24

public static IntStream rangeClosed (int startInclusive, 
                int endInclusive)

Returns a sequential ordered IntStream from startInclusive (inclusive) to endInclusive (inclusive) by an incremental step of 1.

API Note:

An equivalent sequence of increasing values can be produced sequentially using a for loop as follows:
```
for (int i = startInclusive; i <= endInclusive ; i++) { ... }
 
```

Parameters
`startInclusive`	`int`: the (inclusive) initial value
`endInclusive`	`int`: the inclusive upper bound

Returns
`IntStream`	a sequential `IntStream` for the range of `int` elements

reduce

Added in API level 24

public abstract OptionalInt reduce (IntBinaryOperator op)

Performs a reduction on the elements of this stream, using an associative accumulation function, and returns an OptionalInt describing the reduced value, if any. This is equivalent to:

boolean foundAny = false;
     int result = null;
     for (int element : this stream) {
         if (!foundAny) {
             foundAny = true;
             result = element;
         }
         else
             result = accumulator.applyAsInt(result, element);
     }
     return foundAny ? OptionalInt.of(result) : OptionalInt.empty();

but is not constrained to execute sequentially.

The accumulator function must be an associative function.

This is a terminal operation.

Parameters
`op`	`IntBinaryOperator`: an associative, non-interfering, stateless function for combining two values

Returns
`OptionalInt`	the result of the reduction

See also:

reduce(int, IntBinaryOperator)

reduce

Added in API level 24

public abstract int reduce (int identity, 
                IntBinaryOperator op)

Performs a reduction on the elements of this stream, using the provided identity value and an associative accumulation function, and returns the reduced value. This is equivalent to:

int result = identity;
     for (int element : this stream)
         result = accumulator.applyAsInt(result, element)
     return result;

but is not constrained to execute sequentially.

The identity value must be an identity for the accumulator function. This means that for all x, accumulator.apply(identity, x) is equal to x. The accumulator function must be an associative function.

This is a terminal operation.

API Note:

Sum, min and max are all special cases of reduction that can be expressed using this method. For example, summing a stream can be expressed as:
```
int sum = integers.reduce(0, (a, b) -> a+b);
 
```
or more compactly:
```
int sum = integers.reduce(0, Integer::sum);
 
```
While this may seem a more roundabout way to perform an aggregation compared to simply mutating a running total in a loop, reduction operations parallelize more gracefully, without needing additional synchronization and with greatly reduced risk of data races.

Parameters
`identity`	`int`: the identity value for the accumulating function
`op`	`IntBinaryOperator`: an associative, non-interfering, stateless function for combining two values

Returns
`int`	the result of the reduction

See also:

sequential

Added in API level 24

public abstract IntStream sequential ()

Returns an equivalent stream that is sequential. May return itself, either because the stream was already sequential, or because the underlying stream state was modified to be sequential.

This is an intermediate operation.

Returns
`IntStream`	a sequential stream

skip

Added in API level 24

public abstract IntStream skip (long n)

Returns a stream consisting of the remaining elements of this stream after discarding the first n elements of the stream. If this stream contains fewer than n elements then an empty stream will be returned.

This is a stateful intermediate operation.

API Note:

While skip() is generally a cheap operation on sequential stream pipelines, it can be quite expensive on ordered parallel pipelines, especially for large values of n, since skip(n) is constrained to skip not just any n elements, but the first n elements in the encounter order. Using an unordered stream source (such as generate(java.util.function.IntSupplier)) or removing the ordering constraint with BaseStream.unordered() may result in significant speedups of skip() in parallel pipelines, if the semantics of your situation permit. If consistency with encounter order is required, and you are experiencing poor performance or memory utilization with skip() in parallel pipelines, switching to sequential execution with sequential() may improve performance.

Parameters
`n`	`long`: the number of leading elements to skip

Returns
`IntStream`	the new stream

Throws
`IllegalArgumentException`	if `n` is negative

sorted

Added in API level 24

public abstract IntStream sorted ()

Returns a stream consisting of the elements of this stream in sorted order.

This is a stateful intermediate operation.

Returns
`IntStream`	the new stream

spliterator

Added in API level 24

public abstract Spliterator.OfInt spliterator ()

Returns a spliterator for the elements of this stream.

This is a terminal operation.

The returned spliterator should report the set of characteristics derived from the stream pipeline (namely the characteristics derived from the stream source spliterator and the intermediate operations). Implementations may report a sub-set of those characteristics. For example, it may be too expensive to compute the entire set for some or all possible stream pipelines.

Returns
`Spliterator.OfInt`	the element spliterator for this stream

sum

Added in API level 24

public abstract int sum ()

Returns the sum of elements in this stream. This is a special case of a reduction and is equivalent to:

return reduce(0, Integer::sum);

This is a terminal operation.

Returns
`int`	the sum of elements in this stream

summaryStatistics

Added in API level 24

public abstract IntSummaryStatistics summaryStatistics ()

Returns an IntSummaryStatistics describing various summary data about the elements of this stream. This is a special case of a reduction.

This is a terminal operation.

Returns
`IntSummaryStatistics`	an `IntSummaryStatistics` describing various summary data about the elements of this stream

takeWhile

Added in API level 35

public IntStream takeWhile (IntPredicate predicate)

Returns, if this stream is ordered, a stream consisting of the longest prefix of elements taken from this stream that match the given predicate. Otherwise returns, if this stream is unordered, a stream consisting of a subset of elements taken from this stream that match the given predicate.

If this stream is unordered, and some (but not all) elements of this stream match the given predicate, then the behavior of this operation is nondeterministic; it is free to take any subset of matching elements (which includes the empty set).

Independent of whether this stream is ordered or unordered if all elements of this stream match the given predicate then this operation takes all elements (the result is the same as the input), or if no elements of the stream match the given predicate then no elements are taken (the result is an empty stream).

This is a short-circuiting stateful intermediate operation.

Implementation Requirements:

The default implementation obtains the spliterator of this stream, wraps that spliterator so as to support the semantics of this operation on traversal, and returns a new stream associated with the wrapped spliterator. The returned stream preserves the execution characteristics of this stream (namely parallel or sequential execution as per BaseStream.isParallel()) but the wrapped spliterator may choose to not support splitting. When the returned stream is closed, the close handlers for both the returned and this stream are invoked.

API Note:

While takeWhile() is generally a cheap operation on sequential stream pipelines, it can be quite expensive on ordered parallel pipelines, since the operation is constrained to return not just any valid prefix, but the longest prefix of elements in the encounter order. Using an unordered stream source (such as generate(java.util.function.IntSupplier)) or removing the ordering constraint with BaseStream.unordered() may result in significant speedups of takeWhile() in parallel pipelines, if the semantics of your situation permit. If consistency with encounter order is required, and you are experiencing poor performance or memory utilization with takeWhile() in parallel pipelines, switching to sequential execution with sequential() may improve performance.

Parameters
`predicate`	`IntPredicate`: a non-interfering, stateless predicate to apply to elements to determine the longest prefix of elements.

Returns
`IntStream`	the new stream

toArray

Added in API level 24

public abstract int[] toArray ()

Returns an array containing the elements of this stream.

This is a terminal operation.

Returns
`int[]`	an array containing the elements of this stream

IntStream

Summary

Nested classes

Public methods

Inherited methods

Public methods

allMatch

API Note:

anyMatch

API Note:

asDoubleStream

asLongStream

average

boxed

builder

collect

concat

Implementation Note:

API Note:

count

API Note:

distinct

dropWhile

Implementation Requirements:

API Note:

empty

filter

findAny

findFirst

flatMap

forEach

forEachOrdered

generate

iterate

iterate

iterator

limit

API Note:

map

mapMulti

Implementation Requirements:

mapToDouble

mapToLong

mapToObj

max

min

noneMatch

API Note:

of

of

parallel

peek

API Note:

range

API Note:

rangeClosed

API Note:

reduce

reduce

API Note:

sequential

skip

API Note:

sorted

spliterator

sum

summaryStatistics

takeWhile

Implementation Requirements:

API Note:

toArray