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/*
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* Copyright (c) 2016, 2019, Oracle and/or its affiliates. All rights reserved.
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* ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms.
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*
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*/
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// package java.util;
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import java.util.Spliterator;
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import java.util.function.Consumer;
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import java.util.function.IntConsumer;
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import java.util.function.LongConsumer;
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import java.util.function.DoubleConsumer;
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import java.util.stream.StreamSupport;
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import java.util.stream.Stream;
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/**
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* This class provides much of the implementation of the
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* {@code ArbitrarilyJumpableRng} interface, to minimize the effort
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* required to implement that interface.
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*
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* To implement a pseudorandom number generator, the programmer needs
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* only to extend this class and provide implementations for the
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* methods {@code nextInt()}, {@code nextLong()}, {@code copy()},
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* {@code jump(distance)}, {@code jumpPowerOfTwo(distance)},
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* {@code defaultJumpDistance()}, and {@code defaultLeapDistance()}.
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*
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* (If the pseudorandom number generator also has the ability to split,
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* then the programmer may wish to consider instead extending
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* {@code AbstractSplittableArbitrarilyJumpableRng}.)
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*
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* The programmer should generally provide at least three constructors:
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* one that takes no arguments, one that accepts a {@code long}
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* seed value, and one that accepts an array of seed {@code byte} values.
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* This class provides a public {@code initialSeed()} method that may
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* be useful in initializing some static state from which to derive
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* defaults seeds for use by the no-argument constructor.
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*
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* For the stream methods (such as {@code ints()} and {@code splits()}),
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* this class provides {@code Spliterator}-based implementations that
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* allow parallel execution when appropriate. In this respect
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* {@code ArbitrarilyJumpableRng} differs from {@code JumpableRng},
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* which provides very simple implementations that produce
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* sequential streams only.
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*
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* <p>An implementation of the {@code AbstractArbitrarilyJumpableRng} class
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* must provide concrete definitions for the methods {@code nextInt()},
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* {@code nextLong}, {@code period()}, {@code copy()}, {@code jump(double)},
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* {@code defaultJumpDistance()}, and {@code defaultLeapDistance()}.
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* Default implementations are provided for all other methods.
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*
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* The documentation for each non-abstract method in this class
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* describes its implementation in detail. Each of these methods may
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* be overridden if the pseudorandom number generator being
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* implemented admits a more efficient implementation.
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*
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* @author Guy Steele
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* @since 1.9
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*/
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public abstract class AbstractArbitrarilyJumpableRng
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extends AbstractSpliteratorRng implements ArbitrarilyJumpableRng {
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/*
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* Implementation Overview.
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*
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* This class provides most of the "user API" methods needed to satisfy
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* the interface java.util.ArbitrarilyJumpableRng. Most of these methods
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* are in turn inherited from AbstractRng and the non-public class
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* AbstractSpliteratorRng; this file implements four versions of the
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* jumps method and defines the spliterators necessary to support them.
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*
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* File organization: First the non-public methods needed by the class
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* AbstractSpliteratorRng, then the main public methods, followed by some
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* custom spliterator classes needed for stream methods.
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*/
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// IllegalArgumentException messages
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static final String BadLogDistance = "logDistance must be non-negative";
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// Methods required by class AbstractSpliteratorRng
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Spliterator.OfInt makeIntsSpliterator(long index, long fence, int origin, int bound) {
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return new RandomIntsSpliterator(this, index, fence, origin, bound);
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}
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Spliterator.OfLong makeLongsSpliterator(long index, long fence, long origin, long bound) {
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return new RandomLongsSpliterator(this, index, fence, origin, bound);
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}
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Spliterator.OfDouble makeDoublesSpliterator(long index, long fence, double origin, double bound) {
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return new RandomDoublesSpliterator(this, index, fence, origin, bound);
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}
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// Similar methods used by this class
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Spliterator<Rng> makeJumpsSpliterator(long index, long fence, double distance) {
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return new RandomJumpsSpliterator(this, index, fence, distance);
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}
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Spliterator<JumpableRng> makeLeapsSpliterator(long index, long fence, double distance) {
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return new RandomLeapsSpliterator(this, index, fence, distance);
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}
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Spliterator<ArbitrarilyJumpableRng> makeArbitraryJumpsSpliterator(long index, long fence, double distance) {
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return new RandomArbitraryJumpsSpliterator(this, index, fence, distance);
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}
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/* ---------------- public methods ---------------- */
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/**
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* Returns a new generator whose internal state is an exact copy
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* of this generator (therefore their future behavior should be
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* identical if subjected to the same series of operations).
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*
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* @return a new object that is a copy of this generator
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*/
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public abstract AbstractArbitrarilyJumpableRng copy();
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// Stream methods for jumping
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/**
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* Returns an effectively unlimited stream of new pseudorandom
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* number generators, each of which implements the {@code Rng}
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* interface, produced by jumping copies of this generator
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* by different integer multiples of the default jump distance.
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*
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* @implNote This method is implemented to be equivalent to
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* {@code jumps(Long.MAX_VALUE)}.
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*
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* @return a stream of objects that implement the {@code Rng} interface
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*/
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public Stream<Rng> jumps() {
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return StreamSupport.stream
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(makeJumpsSpliterator(0L, Long.MAX_VALUE, defaultJumpDistance()),
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false);
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}
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/**
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* Returns a stream producing the given {@code streamSize} number of
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* new pseudorandom number generators, each of which implements the
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* {@code Rng} interface, produced by jumping copies of this generator
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* by different integer multiples of the default jump distance.
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*
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* @param streamSize the number of generators to generate
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* @return a stream of objects that implement the {@code Rng} interface
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* @throws IllegalArgumentException if {@code streamSize} is
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* less than zero
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*/
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public Stream<Rng> jumps(long streamSize) {
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return StreamSupport.stream
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(makeJumpsSpliterator(0L, streamSize, defaultJumpDistance()),
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false);
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}
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/**
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* Returns an effectively unlimited stream of new pseudorandom
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* number generators, each of which implements the {@code Rng}
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* interface, produced by jumping copies of this generator
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* by different integer multiples of the specified jump distance.
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*
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* @implNote This method is implemented to be equivalent to
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* {@code jumps(Long.MAX_VALUE)}.
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*
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* @param distance a distance to jump forward within the state cycle
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* @return a stream of objects that implement the {@code Rng} interface
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*/
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public Stream<ArbitrarilyJumpableRng> jumps(double distance) {
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return StreamSupport.stream
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(makeArbitraryJumpsSpliterator(0L, Long.MAX_VALUE, distance),
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false);
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}
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/**
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* Returns a stream producing the given {@code streamSize} number of
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* new pseudorandom number generators, each of which implements the
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* {@code Rng} interface, produced by jumping copies of this generator
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* by different integer multiples of the specified jump distance.
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*
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* @param streamSize the number of generators to generate
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* @param distance a distance to jump forward within the state cycle
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* @return a stream of objects that implement the {@code Rng} interface
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* @throws IllegalArgumentException if {@code streamSize} is
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* less than zero
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*/
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public Stream<ArbitrarilyJumpableRng> jumps(long streamSize, double distance) {
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RngSupport.checkStreamSize(streamSize);
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return StreamSupport.stream
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(makeArbitraryJumpsSpliterator(0L, streamSize, distance),
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false);
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}
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/**
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* Alter the state of this pseudorandom number generator so as to
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* jump forward a very large, fixed distance (typically 2<sup>128</sup>
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* or more) within its state cycle. The distance used is that
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* returned by method {@code defaultLeapDistance()}.
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*/
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public void leap() { jump(defaultLeapDistance()); }
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// Stream methods for leaping
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/**
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* Returns an effectively unlimited stream of new pseudorandom
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* number generators, each of which implements the {@code Rng}
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* interface, produced by jumping copies of this generator
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* by different integer multiples of the default leap distance.
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*
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* @implNote This method is implemented to be equivalent to
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* {@code leaps(Long.MAX_VALUE)}.
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*
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* @return a stream of objects that implement the {@code Rng} interface
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*/
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public Stream<JumpableRng> leaps() {
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return StreamSupport.stream
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(makeLeapsSpliterator(0L, Long.MAX_VALUE, defaultLeapDistance()),
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false);
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}
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/**
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* Returns a stream producing the given {@code streamSize} number of
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* new pseudorandom number generators, each of which implements the
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* {@code Rng} interface, produced by jumping copies of this generator
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* by different integer multiples of the default leap distance.
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*
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* @param streamSize the number of generators to generate
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* @return a stream of objects that implement the {@code Rng} interface
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* @throws IllegalArgumentException if {@code streamSize} is
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* less than zero
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*/
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public Stream<JumpableRng> leaps(long streamSize) {
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return StreamSupport.stream
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(makeLeapsSpliterator(0L, streamSize, defaultLeapDistance()),
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false);
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}
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/**
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* Spliterator for int streams. We multiplex the four int
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* versions into one class by treating a bound less than origin as
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* unbounded, and also by treating "infinite" as equivalent to
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* Long.MAX_VALUE. For splits, we choose to override the method
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* {@code trySplit()} to try to optimize execution speed: instead of
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* dividing a range in half, it breaks off the largest possible chunk
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* whose size is a power of two such that the remaining chunk is not
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* empty. In this way, the necessary jump distances will tend to be
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* powers of two. The long and double versions of this class are
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* identical except for types.
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*/
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static class RandomIntsSpliterator extends RngSupport.RandomSpliterator implements Spliterator.OfInt {
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final ArbitrarilyJumpableRng generatingRng;
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final int origin;
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final int bound;
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RandomIntsSpliterator(ArbitrarilyJumpableRng generatingRng, long index, long fence, int origin, int bound) {
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super(index, fence);
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this.origin = origin; this.bound = bound;
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this.generatingRng = generatingRng;
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}
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public Spliterator.OfInt trySplit() {
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long i = index, delta = Long.highestOneBit((fence - i) - 1), m = i + delta;
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if (m <= i) return null;
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index = m;
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ArbitrarilyJumpableRng r = (ArbitrarilyJumpableRng) generatingRng;
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return new RandomIntsSpliterator(r.copyAndJump((double)delta), i, m, origin, bound);
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}
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public boolean tryAdvance(IntConsumer consumer) {
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if (consumer == null) throw new NullPointerException();
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long i = index, f = fence;
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if (i < f) {
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consumer.accept(RngSupport.boundedNextInt(generatingRng, origin, bound));
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index = i + 1;
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return true;
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}
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else return false;
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}
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public void forEachRemaining(IntConsumer consumer) {
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if (consumer == null) throw new NullPointerException();
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long i = index, f = fence;
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if (i < f) {
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index = f;
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ArbitrarilyJumpableRng r = generatingRng;
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int o = origin, b = bound;
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do {
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consumer.accept(RngSupport.boundedNextInt(r, o, b));
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} while (++i < f);
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}
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}
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}
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/**
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* Spliterator for long streams.
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*/
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static class RandomLongsSpliterator extends RngSupport.RandomSpliterator implements Spliterator.OfLong {
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final ArbitrarilyJumpableRng generatingRng;
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final long origin;
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final long bound;
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RandomLongsSpliterator(ArbitrarilyJumpableRng generatingRng, long index, long fence, long origin, long bound) {
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super(index, fence);
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this.generatingRng = generatingRng;
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this.origin = origin; this.bound = bound;
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}
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public Spliterator.OfLong trySplit() {
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long i = index, delta = Long.highestOneBit((fence - i) - 1), m = i + delta;
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if (m <= i) return null;
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index = m;
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ArbitrarilyJumpableRng r = (ArbitrarilyJumpableRng) generatingRng;
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return new RandomLongsSpliterator(r.copyAndJump((double)delta), i, m, origin, bound);
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}
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public boolean tryAdvance(LongConsumer consumer) {
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if (consumer == null) throw new NullPointerException();
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long i = index, f = fence;
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if (i < f) {
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consumer.accept(RngSupport.boundedNextLong(generatingRng, origin, bound));
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index = i + 1;
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return true;
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}
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else return false;
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}
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public void forEachRemaining(LongConsumer consumer) {
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if (consumer == null) throw new NullPointerException();
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long i = index, f = fence;
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if (i < f) {
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index = f;
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ArbitrarilyJumpableRng r = generatingRng;
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long o = origin, b = bound;
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do {
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consumer.accept(RngSupport.boundedNextLong(r, o, b));
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} while (++i < f);
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}
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}
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}
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/**
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* Spliterator for double streams.
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*/
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static class RandomDoublesSpliterator extends RngSupport.RandomSpliterator implements Spliterator.OfDouble {
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final ArbitrarilyJumpableRng generatingRng;
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final double origin;
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final double bound;
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RandomDoublesSpliterator(ArbitrarilyJumpableRng generatingRng, long index, long fence, double origin, double bound) {
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super(index, fence);
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this.generatingRng = generatingRng;
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this.origin = origin; this.bound = bound;
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}
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public Spliterator.OfDouble trySplit() {
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long i = index, delta = Long.highestOneBit((fence - i) - 1), m = i + delta;
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if (m <= i) return null;
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index = m;
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ArbitrarilyJumpableRng r = (ArbitrarilyJumpableRng) generatingRng;
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return new RandomDoublesSpliterator(r.copyAndJump((double)delta), i, m, origin, bound);
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}
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public boolean tryAdvance(DoubleConsumer consumer) {
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if (consumer == null) throw new NullPointerException();
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long i = index, f = fence;
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if (i < f) {
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consumer.accept(RngSupport.boundedNextDouble(generatingRng, origin, bound));
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index = i + 1;
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return true;
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}
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else return false;
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}
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public void forEachRemaining(DoubleConsumer consumer) {
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if (consumer == null) throw new NullPointerException();
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long i = index, f = fence;
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if (i < f) {
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index = f;
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ArbitrarilyJumpableRng r = generatingRng;
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double o = origin, b = bound;
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do {
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consumer.accept(RngSupport.boundedNextDouble(r, o, b));
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} while (++i < f);
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}
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}
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}
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// Spliterators for producing new generators by jumping or leaping. The
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// complete implementation of each of these spliterators is right here.
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// In the same manner as for the preceding spliterators, the method trySplit() is
|
|
404 |
// coded to optimize execution speed: instead of dividing a range
|
|
405 |
// in half, it breaks off the largest possible chunk whose
|
|
406 |
// size is a power of two such that the remaining chunk is not
|
|
407 |
// empty. In this way, the necessary jump distances will tend to be
|
|
408 |
// powers of two.
|
|
409 |
|
|
410 |
/**
|
|
411 |
* Spliterator for stream of generators of type Rng produced by jumps.
|
|
412 |
*/
|
|
413 |
static class RandomJumpsSpliterator extends RngSupport.RandomSpliterator implements Spliterator<Rng> {
|
|
414 |
ArbitrarilyJumpableRng generatingRng;
|
|
415 |
final double distance;
|
|
416 |
|
|
417 |
RandomJumpsSpliterator(ArbitrarilyJumpableRng generatingRng, long index, long fence, double distance) {
|
|
418 |
super(index, fence);
|
|
419 |
this.generatingRng = generatingRng; this.distance = distance;
|
|
420 |
}
|
|
421 |
|
|
422 |
public Spliterator<Rng> trySplit() {
|
|
423 |
long i = index, delta = Long.highestOneBit((fence - i) - 1), m = i + delta;
|
|
424 |
if (m <= i) return null;
|
|
425 |
index = m;
|
|
426 |
ArbitrarilyJumpableRng r = (ArbitrarilyJumpableRng) generatingRng;
|
|
427 |
// Because delta is a power of two, (distance * (double)delta) can always be computed exactly.
|
|
428 |
return new RandomJumpsSpliterator(r.copyAndJump(distance * (double)delta), i, m, distance);
|
|
429 |
}
|
|
430 |
|
|
431 |
public boolean tryAdvance(Consumer<? super Rng> consumer) {
|
|
432 |
if (consumer == null) throw new NullPointerException();
|
|
433 |
long i = index, f = fence;
|
|
434 |
if (i < f) {
|
|
435 |
consumer.accept(generatingRng.copyAndJump(distance));
|
|
436 |
index = i + 1;
|
|
437 |
return true;
|
|
438 |
}
|
|
439 |
return false;
|
|
440 |
}
|
|
441 |
|
|
442 |
public void forEachRemaining(Consumer<? super Rng> consumer) {
|
|
443 |
if (consumer == null) throw new NullPointerException();
|
|
444 |
long i = index, f = fence;
|
|
445 |
if (i < f) {
|
|
446 |
index = f;
|
|
447 |
ArbitrarilyJumpableRng r = generatingRng;
|
|
448 |
do {
|
|
449 |
consumer.accept(r.copyAndJump(distance));
|
|
450 |
} while (++i < f);
|
|
451 |
}
|
|
452 |
}
|
|
453 |
}
|
|
454 |
|
|
455 |
/**
|
|
456 |
* Spliterator for stream of generators of type Rng produced by leaps.
|
|
457 |
*/
|
|
458 |
static class RandomLeapsSpliterator extends RngSupport.RandomSpliterator implements Spliterator<JumpableRng> {
|
|
459 |
ArbitrarilyJumpableRng generatingRng;
|
|
460 |
final double distance;
|
|
461 |
|
|
462 |
RandomLeapsSpliterator(ArbitrarilyJumpableRng generatingRng, long index, long fence, double distance) {
|
|
463 |
super(index, fence);
|
|
464 |
this.generatingRng = generatingRng; this.distance = distance;
|
|
465 |
}
|
|
466 |
|
|
467 |
public Spliterator<JumpableRng> trySplit() {
|
|
468 |
long i = index, delta = Long.highestOneBit((fence - i) - 1), m = i + delta;
|
|
469 |
if (m <= i) return null;
|
|
470 |
index = m;
|
|
471 |
// Because delta is a power of two, (distance * (double)delta) can always be computed exactly.
|
|
472 |
return new RandomLeapsSpliterator(generatingRng.copyAndJump(distance * (double)delta), i, m, distance);
|
|
473 |
}
|
|
474 |
|
|
475 |
public boolean tryAdvance(Consumer<? super JumpableRng> consumer) {
|
|
476 |
if (consumer == null) throw new NullPointerException();
|
|
477 |
long i = index, f = fence;
|
|
478 |
if (i < f) {
|
|
479 |
consumer.accept(generatingRng.copyAndJump(distance));
|
|
480 |
index = i + 1;
|
|
481 |
return true;
|
|
482 |
}
|
|
483 |
return false;
|
|
484 |
}
|
|
485 |
|
|
486 |
public void forEachRemaining(Consumer<? super JumpableRng> consumer) {
|
|
487 |
if (consumer == null) throw new NullPointerException();
|
|
488 |
long i = index, f = fence;
|
|
489 |
if (i < f) {
|
|
490 |
index = f;
|
|
491 |
ArbitrarilyJumpableRng r = generatingRng;
|
|
492 |
do {
|
|
493 |
consumer.accept(r.copyAndJump(distance));
|
|
494 |
} while (++i < f);
|
|
495 |
}
|
|
496 |
}
|
|
497 |
}
|
|
498 |
|
|
499 |
/**
|
|
500 |
* Spliterator for stream of generators of type Rng produced by arbitrary jumps.
|
|
501 |
*/
|
|
502 |
static class RandomArbitraryJumpsSpliterator extends RngSupport.RandomSpliterator implements Spliterator<ArbitrarilyJumpableRng> {
|
|
503 |
ArbitrarilyJumpableRng generatingRng;
|
|
504 |
final double distance;
|
|
505 |
|
|
506 |
RandomArbitraryJumpsSpliterator(ArbitrarilyJumpableRng generatingRng, long index, long fence, double distance) {
|
|
507 |
super(index, fence);
|
|
508 |
this.generatingRng = generatingRng; this.distance = distance;
|
|
509 |
}
|
|
510 |
|
|
511 |
public Spliterator<ArbitrarilyJumpableRng> trySplit() {
|
|
512 |
long i = index, delta = Long.highestOneBit((fence - i) - 1), m = i + delta;
|
|
513 |
if (m <= i) return null;
|
|
514 |
index = m;
|
|
515 |
// Because delta is a power of two, (distance * (double)delta) can always be computed exactly.
|
|
516 |
return new RandomArbitraryJumpsSpliterator(generatingRng.copyAndJump(distance * (double)delta), i, m, distance);
|
|
517 |
}
|
|
518 |
|
|
519 |
public boolean tryAdvance(Consumer<? super ArbitrarilyJumpableRng> consumer) {
|
|
520 |
if (consumer == null) throw new NullPointerException();
|
|
521 |
long i = index, f = fence;
|
|
522 |
if (i < f) {
|
|
523 |
consumer.accept(generatingRng.copyAndJump(distance));
|
|
524 |
index = i + 1;
|
|
525 |
return true;
|
|
526 |
}
|
|
527 |
return false;
|
|
528 |
}
|
|
529 |
|
|
530 |
public void forEachRemaining(Consumer<? super ArbitrarilyJumpableRng> consumer) {
|
|
531 |
if (consumer == null) throw new NullPointerException();
|
|
532 |
long i = index, f = fence;
|
|
533 |
if (i < f) {
|
|
534 |
index = f;
|
|
535 |
ArbitrarilyJumpableRng r = generatingRng;
|
|
536 |
do {
|
|
537 |
consumer.accept(r.copyAndJump(distance));
|
|
538 |
} while (++i < f);
|
|
539 |
}
|
|
540 |
}
|
|
541 |
}
|
|
542 |
|
|
543 |
}
|