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In addition to Stream , which is a stream of object references, there are primitive specializations for IntStream , LongStream , and DoubleStream , all of which are referred to as "streams" and conform to the characteristics and restrictions described here.
To perform a computation, stream operations are composed into a stream pipeline. Streams are lazy; computation on the source data is only performed when the terminal operation is initiated, and source elements are consumed only as needed.
A stream implementation is permitted significant latitude in optimizing the computation of the result. For example, a stream implementation is free to elide operations or entire stages from a stream pipeline -- and therefore elide invocation of behavioral parameters -- if it can prove that it would not affect the result of the computation.
This means that side-effects of behavioral parameters may not always be executed and should not be relied upon, unless otherwise specified such as by the terminal operations forEach and forEachOrdered.
For a specific example of such an optimization, see the API note documented on the count operation. For more detail, see the side-effects section of the stream package documentation.
Collections and streams, while bearing some superficial similarities, have different goals. Collections are primarily concerned with the efficient management of, and access to, their elements.
By contrast, streams do not provide a means to directly access or manipulate their elements, and are instead concerned with declaratively describing their source and the computational operations which will be performed in aggregate on that source.
However, if the provided stream operations do not offer the desired functionality, the BaseStream. A stream pipeline, like the "widgets" example above, can be viewed as a query on the stream source.
Unless the source was explicitly designed for concurrent modification such as a ConcurrentHashMap , unpredictable or erroneous behavior may result from modifying the stream source while it is being queried.
To preserve correct behavior, these behavioral parameters : must be non-interfering they do not modify the stream source ; and in most cases must be stateless their result should not depend on any state that might change during execution of the stream pipeline.
Such parameters are always instances of a functional interface such as Function , and are often lambda expressions or method references.
Unless otherwise specified these parameters must be non-null. A stream should be operated on invoking an intermediate or terminal stream operation only once.
This rules out, for example, "forked" streams, where the same source feeds two or more pipelines, or multiple traversals of the same stream.
A stream implementation may throw IllegalStateException if it detects that the stream is being reused. However, since some stream operations may return their receiver rather than a new stream object, it may not be possible to detect reuse in all cases.
Streams have a BaseStream. Operating on a stream after it has been closed will throw IllegalStateException. Most stream instances do not actually need to be closed after use, as they are backed by collections, arrays, or generating functions, which require no special resource management.
Generally, only streams whose source is an IO channel, such as those returned by Files. If a stream does require closing, it must be opened as a resource within a try-with-resources statement or similar control structure to ensure that it is closed promptly after its operations have completed.
Stream pipelines may execute either sequentially or in parallel. This execution mode is a property of the stream. Streams are created with an initial choice of sequential or parallel execution.
For example, Collection. This choice of execution mode may be modified by the BaseStream. If orders is a stream of purchase orders, and each purchase order contains a collection of line items, then the following produces a stream containing all the line items in all the orders: orders.
For ordered streams, the selection of distinct elements is stable for duplicated elements, the element appearing first in the encounter order is preserved.
For unordered streams, no stability guarantees are made. For ordered streams, the sort is stable. 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. 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.
This is a short-circuiting stateful intermediate operation. 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.
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.
The behavior of this operation is explicitly nondeterministic. 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.
HP's budget laptop fell behind its competitors in benchmark testing, however, scoring 1, on the synthetic GeekBench 3 test, which measures overall system performance.
While you'll be able to play basic and casual games from the Windows Store, don't expect demanding titles to work. When we ran 3DMark's Ice Storm Unlimited benchmark, a synthetic test which measures graphics prowess, the Stream 13 returned a score of 17,, beating out the Lenovo S 15, but falling short of the Acer Aspire Cloudbook 18, The Stream 13 is the notebook you want for crunching serious numbers, though.
It took the system 15 minutes to match 20, names and addresses in OpenOffice. That's much longer than the average notebook but comparable to the Acer Aspire Cloudbook's time of The HP managed to pull away from the Lenovo S, which took a massive 22 minutes and 5 seconds to complete the process.
The biggest drawback of the Stream 13 is its fairly short battery life. On the Laptop Mag Battery Test, which involves continuous Web surfing over Wi-Fi at nits of screen brightness, the HP lasted a modest 6 hours and 54 minutes, trailing the ultraportable category average of , the Acer Cloudbook's mark of and the Lenovo Ideapad S' time of The HP Stream 13 comes with Windows 10 preloaded, with a minimal amount of bloatware.
To counter the device's small storage space of only 32GB, the Stream 13 includes 1TB of OneDrive storage, as well as access to Office for a full year to take advantage of Cloud computing.
Our HP Stream 13 features a inch display, a 1. HP includes a one-year limited hardware warranty with 90 days of phone support and complimentary chat support for one year.
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A stream should be operated on invoking an intermediate or terminal stream operation only once. This rules out, for example, "forked" streams, where the same source feeds two or more pipelines, or multiple traversals of the same stream.
A stream implementation may throw IllegalStateException if it detects that the stream is being reused. However, since some stream operations may return their receiver rather than a new stream object, it may not be possible to detect reuse in all cases.
Streams have a BaseStream. Operating on a stream after it has been closed will throw IllegalStateException.
Most stream instances do not actually need to be closed after use, as they are backed by collections, arrays, or generating functions, which require no special resource management.
Generally, only streams whose source is an IO channel, such as those returned by Files. If a stream does require closing, it must be opened as a resource within a try-with-resources statement or similar control structure to ensure that it is closed promptly after its operations have completed.
Stream pipelines may execute either sequentially or in parallel. This execution mode is a property of the stream. Streams are created with an initial choice of sequential or parallel execution.
For example, Collection. This choice of execution mode may be modified by the BaseStream. If orders is a stream of purchase orders, and each purchase order contains a collection of line items, then the following produces a stream containing all the line items in all the orders: orders.
For ordered streams, the selection of distinct elements is stable for duplicated elements, the element appearing first in the encounter order is preserved.
For unordered streams, no stability guarantees are made. For ordered streams, the sort is stable. 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. 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.
This is a short-circuiting stateful intermediate operation. 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.
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.
The behavior of this operation is explicitly nondeterministic. 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.
This operation processes the elements one at a time, in encounter order if one exists. Performing the action for one element happens-before performing the action for subsequent elements, but for any given element, the action may be performed in whatever thread the library chooses.
The identity value must be an identity for the accumulator function. This means that for all t , accumulator. The accumulator function must be an associative function.
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.
The identity value must be an identity for the combiner function. This means that for all u , combiner identity, u is equal to u.
Additionally, the combiner function must be compatible with the accumulator function; for all u and t , the following must hold: combiner. Like reduce Object, BinaryOperator , collect operations can be parallelized without requiring additional synchronization.
If the stream is parallel, and the Collector is concurrent , and either the stream is unordered or the collector is unordered , then a concurrent reduction will be performed see Collector for details on concurrent reduction.
When executed in parallel, multiple intermediate results may be instantiated, populated, and merged so as to maintain isolation of mutable data structures.
Therefore, even when executed in parallel with non-thread-safe data structures such as ArrayList , no additional synchronization is needed for a parallel reduction.
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. The first element position 0 in the Stream will be the provided seed. 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. 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. 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. We create a stream of Widget objects via Collection.
Then this stream is summed to produce a total weight. Performs a mutable reduction operation on the elements of this stream.
Performs a mutable reduction operation on the elements of this stream using a Collector. Creates a lazily concatenated stream whose elements are all the elements of the first stream followed by all the elements of the second stream.
Returns a stream consisting of the distinct elements according to Object. 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.
Returns a stream consisting of the elements of this stream that match the given predicate. Returns an Optional describing some element of the stream, or an empty Optional if the stream is empty.
Returns an Optional describing the first element of this stream, or an empty Optional if the stream is empty. 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.
Returns an DoubleStream 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.
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