Module java.base
Package java.util.stream

# Interface LongStream

All Superinterfaces:
  `AutoCloseable`, `BaseStream<Long,LongStream>`

public interface LongStream extends BaseStream<Long,LongStream>
A sequence of primitive long-valued elements supporting sequential and parallel aggregate operations. This is the `long` primitive specialization of `Stream`.

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

         long sum = widgets.stream()
                           .filter(w -> w.getColor() == RED)
                           .mapToLong(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.

Since:
  1.8
See Also:
  - `Stream`
  - java.util.stream

## Nested Class Summary

Nested Classes
Modifier and Type
Interface
Description
`static interface`
`LongStream.Builder`
A mutable builder for a `LongStream`.
`static interface`
`LongStream.LongMapMultiConsumer`
Represents an operation that accepts a `long`-valued argument and a LongConsumer, and returns no result.

## Method Summary

Modifier and Type
Method
Description
`boolean`
`allMatch(LongPredicate predicate)`
Returns whether all elements of this stream match the provided predicate.
`boolean`
`anyMatch(LongPredicate predicate)`
Returns whether any elements of this stream match the provided predicate.
`DoubleStream`
`asDoubleStream()`
Returns a `DoubleStream` consisting of the elements of this stream, converted to `double`.
`OptionalDouble`
`average()`
Returns an `OptionalDouble` describing the arithmetic mean of elements of this stream, or an empty optional if this stream is empty.
`Stream<Long>`
`boxed()`
Returns a `Stream` consisting of the elements of this stream, each boxed to a `Long`.
`static LongStream.Builder`
`builder()`
Returns a builder for a `LongStream`.
`<R> R`
`collect(Supplier<R> supplier, ObjLongConsumer<R> accumulator, BiConsumer<R,R> combiner)`
Performs a mutable reduction operation on the elements of this stream.
`static LongStream`
`concat(LongStream a, LongStream 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.
`long`
`count()`
Returns the count of elements in this stream.
`LongStream`
`distinct()`
Returns a stream consisting of the distinct elements of this stream.
`default LongStream`
`dropWhile(LongPredicate 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 LongStream`
`empty()`
Returns an empty sequential `LongStream`.
`LongStream`
`filter(LongPredicate predicate)`
Returns a stream consisting of the elements of this stream that match the given predicate.
`OptionalLong`
`findAny()`
Returns an `OptionalLong` describing some element of the stream, or an empty `OptionalLong` if the stream is empty.
`OptionalLong`
`findFirst()`
Returns an `OptionalLong` describing the first element of this stream, or an empty `OptionalLong` if the stream is empty.
`LongStream`
`flatMap(LongFunction<? extends LongStream> 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.
`void`
`forEach(LongConsumer action)`
Performs an action for each element of this stream.
`void`
`forEachOrdered(LongConsumer 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 LongStream`
`generate(LongSupplier s)`
Returns an infinite sequential unordered stream where each element is generated by the provided `LongSupplier`.
`static LongStream`
`iterate(long seed, LongPredicate hasNext, LongUnaryOperator next)`
Returns a sequential ordered `LongStream` produced by iterative application of the given `next` function to an initial element, conditioned on satisfying the given `hasNext` predicate.
`static LongStream`
`iterate(long seed, LongUnaryOperator f)`
Returns an infinite sequential ordered `LongStream` 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.
`LongStream`
`limit(long maxSize)`
Returns a stream consisting of the elements of this stream, truncated to be no longer than `maxSize` in length.
`LongStream`
`map(LongUnaryOperator mapper)`
Returns a stream consisting of the results of applying the given function to the elements of this stream.
`default LongStream`
`mapMulti(LongStream.LongMapMultiConsumer mapper)`
Returns a stream consisting of the results of replacing each element of this stream with multiple elements, specifically zero or more elements.
`DoubleStream`
`mapToDouble(LongToDoubleFunction mapper)`
Returns a `DoubleStream` consisting of the results of applying the given function to the elements of this stream.
`IntStream`
`mapToInt(LongToIntFunction mapper)`
Returns an `IntStream` consisting of the results of applying the given function to the elements of this stream.
`<U> Stream<U>`
`mapToObj(LongFunction<? extends U> mapper)`
Returns an object-valued `Stream` consisting of the results of applying the given function to the elements of this stream.
`OptionalLong`
`max()`
Returns an `OptionalLong` describing the maximum element of this stream, or an empty optional if this stream is empty.
`OptionalLong`
`min()`
Returns an `OptionalLong` describing the minimum element of this stream, or an empty optional if this stream is empty.
`boolean`
`noneMatch(LongPredicate predicate)`
Returns whether no elements of this stream match the provided predicate.
`static LongStream`
`of(long t)`
Returns a sequential `LongStream` containing a single element.
`static LongStream`
`of(long... values)`
Returns a sequential ordered stream whose elements are the specified values.
`LongStream`
`peek(LongConsumer 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 LongStream`
`range(long startInclusive, long endExclusive)`
Returns a sequential ordered `LongStream` from `startInclusive` (inclusive) to `endExclusive` (exclusive) by an incremental step of `1`.
`static LongStream`
`rangeClosed(long startInclusive, long endInclusive)`
Returns a sequential ordered `LongStream` from `startInclusive` (inclusive) to `endInclusive` (inclusive) by an incremental step of `1`.
`long`
`reduce(long identity, LongBinaryOperator 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.
`OptionalLong`
`reduce(LongBinaryOperator op)`
Performs a reduction on the elements of this stream, using an associative accumulation function, and returns an `OptionalLong` describing the reduced value, if any.
`LongStream`
`skip(long n)`
Returns a stream consisting of the remaining elements of this stream after discarding the first `n` elements of the stream.
`LongStream`
`sorted()`
Returns a stream consisting of the elements of this stream in sorted order.
`long`
`sum()`
Returns the sum of elements in this stream.
`LongSummaryStatistics`
`summaryStatistics()`
Returns a `LongSummaryStatistics` describing various summary data about the elements of this stream.
`default LongStream`
`takeWhile(LongPredicate 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.
`long[]`
`toArray()`
Returns an array containing the elements of this stream.

### Methods declared in interface java.util.stream.BaseStream

`close, isParallel, iterator, onClose, parallel, sequential, spliterator, unordered`

## Method Details

### filter

LongStream filter(LongPredicate predicate)
Returns a stream consisting of the elements of this stream that match the given predicate.

This is an intermediate operation.

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

### map

LongStream map(LongUnaryOperator 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` - a non-interfering, stateless function to apply to each element
Returns:
  the new stream

### mapToObj

<U> Stream<U> mapToObj(LongFunction<? 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.

Type Parameters:
  `U` - the element type of the new stream
Parameters:
  `mapper` - a non-interfering, stateless function to apply to each element
Returns:
  the new stream

### mapToInt

IntStream mapToInt(LongToIntFunction mapper)
Returns an `IntStream` consisting of the results of applying the given function to the elements of this stream.

This is an intermediate operation.

Parameters:
  `mapper` - a non-interfering, stateless function to apply to each element
Returns:
  the new stream

### mapToDouble

DoubleStream mapToDouble(LongToDoubleFunction 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` - a non-interfering, stateless function to apply to each element
Returns:
  the new stream

### flatMap

LongStream flatMap(LongFunction<? extends LongStream> 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` - a non-interfering, stateless function to apply to each element which produces a `LongStream` of new values
Returns:
  the new stream
See Also:
  - `Stream.flatMap(Function)`

### mapMulti

default LongStream mapMulti(LongStream.LongMapMultiConsumer 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 a `LongConsumer` that accumulates replacement elements into a newly created internal buffer. When the mapper function returns, it creates a `LongStream` from the internal buffer. Finally, it returns this stream to `flatMap`.
Parameters:
  `mapper` - a non-interfering, stateless function that generates replacement elements
Returns:
  the new stream
Since:
  16
See Also:
  - `Stream.mapMulti`

### distinct

LongStream distinct()
Returns a stream consisting of the distinct elements of this stream.

This is a stateful intermediate operation.

Returns:
  the new stream

### sorted

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

This is a stateful intermediate operation.

Returns:
  the new stream

### peek

LongStream peek(LongConsumer 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:

           LongStream.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` - a non-interfering action to perform on the elements as they are consumed from the stream
Returns:
  the new stream

### limit

LongStream 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(LongSupplier)`) 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 `BaseStream.sequential()` may improve performance.
Parameters:
  `maxSize` - the number of elements the stream should be limited to
Returns:
  the new stream
Throws:
  `IllegalArgumentException` - if `maxSize` is negative

### skip

LongStream 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(LongSupplier)`) 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 `BaseStream.sequential()` may improve performance.
Parameters:
  `n` - the number of leading elements to skip
Returns:
  the new stream
Throws:
  `IllegalArgumentException` - if `n` is negative

### takeWhile

default LongStream takeWhile(LongPredicate 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 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 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.

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(LongSupplier)`) 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 `BaseStream.sequential()` may improve performance.
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.
Parameters:
  `predicate` - a non-interfering, stateless predicate to apply to elements to determine the longest prefix of elements.
Returns:
  the new stream
Since:
  9

### dropWhile

default LongStream dropWhile(LongPredicate 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.

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(LongSupplier)`) 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 `BaseStream.sequential()` may improve performance.
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.
Parameters:
  `predicate` - a non-interfering, stateless predicate to apply to elements to determine the longest prefix of elements.
Returns:
  the new stream
Since:
  9

### forEach

void forEach(LongConsumer 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` - a non-interfering action to perform on the elements

### forEachOrdered

void forEachOrdered(LongConsumer 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` - a non-interfering action to perform on the elements
See Also:
  - `forEach(LongConsumer)`

### toArray

long[] toArray()
Returns an array containing the elements of this stream.

This is a terminal operation.

Returns:
  an array containing the elements of this stream

### reduce

long reduce(long identity, LongBinaryOperator 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:

         long result = identity;
         for (long element : this stream)
             result = accumulator.applyAsLong(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, max, and average are all special cases of reduction. Summing a stream of numbers can be expressed as:

           long sum = integers.reduce(0, (a, b) -> a+b);

  or more compactly:

           long sum = integers.reduce(0, Long::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` - the identity value for the accumulating function
  `op` - an associative, non-interfering, stateless function for combining two values
Returns:
  the result of the reduction
See Also:
  - `sum()`
  - `min()`
  - `max()`
  - `average()`

### reduce

OptionalLong reduce(LongBinaryOperator op)
Performs a reduction on the elements of this stream, using an associative accumulation function, and returns an `OptionalLong` describing the reduced value, if any. This is equivalent to:

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

but is not constrained to execute sequentially.

The `accumulator` function must be an associative function.

This is a terminal operation.

Parameters:
  `op` - an associative, non-interfering, stateless function for combining two values
Returns:
  the result of the reduction
See Also:
  - `reduce(long, LongBinaryOperator)`

### collect

<R> R collect(Supplier<R> supplier, ObjLongConsumer<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 (long element : this stream)
             accumulator.accept(result, element);
         return result;

Like `reduce(long, LongBinaryOperator)`, `collect` operations can be parallelized without requiring additional synchronization.

This is a terminal operation.

Type Parameters:
  `R` - the type of the mutable result container
Parameters:
  `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` - an associative, non-interfering, stateless function that must fold an element into a result container.
  `combiner` - 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:
  the result of the reduction
See Also:
  - `Stream.collect(Supplier, BiConsumer, BiConsumer)`

### sum

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

         return reduce(0, Long::sum);

This is a terminal operation.

Returns:
  the sum of elements in this stream

### min

OptionalLong min()
Returns an `OptionalLong` 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(Long::min);

This is a terminal operation.

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

### max

OptionalLong max()
Returns an `OptionalLong` 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(Long::max);

This is a terminal operation.

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

### count

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

         return map(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:

           LongStream s = LongStream.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:
  the count of elements in this stream

### average

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

### summaryStatistics

LongSummaryStatistics summaryStatistics()
Returns a `LongSummaryStatistics` describing various summary data about the elements of this stream. This is a special case of a reduction.

This is a terminal operation.

Returns:
  a `LongSummaryStatistics` describing various summary data about the elements of this stream

### anyMatch

boolean anyMatch(LongPredicate 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` - a non-interfering, stateless predicate to apply to elements of this stream
Returns:
  `true` if any elements of the stream match the provided predicate, otherwise `false`

### allMatch

boolean allMatch(LongPredicate 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` - a non-interfering, stateless predicate to apply to elements of this stream
Returns:
  `true` if either all elements of the stream match the provided predicate or the stream is empty, otherwise `false`

### noneMatch

boolean noneMatch(LongPredicate 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` - a non-interfering, stateless predicate to apply to elements of this stream
Returns:
  `true` if either no elements of the stream match the provided predicate or the stream is empty, otherwise `false`

### findFirst

OptionalLong findFirst()
Returns an `OptionalLong` describing the first element of this stream, or an empty `OptionalLong` 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:
  an `OptionalLong` describing the first element of this stream, or an empty `OptionalLong` if the stream is empty

### findAny

OptionalLong findAny()
Returns an `OptionalLong` describing some element of the stream, or an empty `OptionalLong` 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:
  an `OptionalLong` describing some element of this stream, or an empty `OptionalLong` if the stream is empty
See Also:
  - `findFirst()`

### asDoubleStream

DoubleStream asDoubleStream()
Returns a `DoubleStream` consisting of the elements of this stream, converted to `double`.

This is an intermediate operation.

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

### boxed

Stream<Long> boxed()
Returns a `Stream` consisting of the elements of this stream, each boxed to a `Long`.

This is an intermediate operation.

Returns:
  a `Stream` consistent of the elements of this stream, each boxed to `Long`

### builder

static LongStream.Builder builder()
Returns a builder for a `LongStream`.

Returns:
  a stream builder

### empty

static LongStream empty()
Returns an empty sequential `LongStream`.

Returns:
  an empty sequential stream

### of

static LongStream of(long t)
Returns a sequential `LongStream` containing a single element.

Parameters:
  `t` - the single element
Returns:
  a singleton sequential stream

### of

static LongStream of(long... values)
Returns a sequential ordered stream whose elements are the specified values.

Parameters:
  `values` - the elements of the new stream
Returns:
  the new stream

### iterate

static LongStream iterate(long seed, LongUnaryOperator f)
Returns an infinite sequential ordered `LongStream` 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 `LongStream` 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` - the initial element
  `f` - a function to be applied to the previous element to produce a new element
Returns:
  a new sequential `LongStream`

### iterate

static LongStream iterate(long seed, LongPredicate hasNext, LongUnaryOperator next)
Returns a sequential ordered `LongStream` 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.

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

         for (long index=seed; hasNext.test(index); index = next.applyAsLong(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` - the initial element
  `hasNext` - a predicate to apply to elements to determine when the stream must terminate.
  `next` - a function to be applied to the previous element to produce a new element
Returns:
  a new sequential `LongStream`
Since:
  9

### generate

static LongStream generate(LongSupplier s)
Returns an infinite sequential unordered stream where each element is generated by the provided `LongSupplier`. This is suitable for generating constant streams, streams of random elements, etc.

Parameters:
  `s` - the `LongSupplier` for generated elements
Returns:
  a new infinite sequential unordered `LongStream`

### range

static LongStream range(long startInclusive, long endExclusive)
Returns a sequential ordered `LongStream` 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 (long i = startInclusive; i < endExclusive ; i++) { ... }

Parameters:
  `startInclusive` - the (inclusive) initial value
  `endExclusive` - the exclusive upper bound
Returns:
  a sequential `LongStream` for the range of `long` elements

### rangeClosed

static LongStream rangeClosed(long startInclusive, long endInclusive)
Returns a sequential ordered `LongStream` 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 (long i = startInclusive; i <= endInclusive ; i++) { ... }

Parameters:
  `startInclusive` - the (inclusive) initial value
  `endInclusive` - the inclusive upper bound
Returns:
  a sequential `LongStream` for the range of `long` elements

### concat

static LongStream concat(LongStream a, LongStream 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.

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:

           LongStream concat = Stream.of(s1, s2, s3, s4).flatMapToLong(s -> s);

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`.
Parameters:
  `a` - the first stream
  `b` - the second stream
Returns:
  the concatenation of the two input streams