newrandom/AbstractSplittableRng.java
branchbriangoetz-test-branch
changeset 57369 6d87e9f7a1ec
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/newrandom/AbstractSplittableRng.java	Thu May 23 16:45:56 2019 -0400
@@ -0,0 +1,379 @@
+/*
+ * Copyright (c) 2016, 2019, Oracle and/or its affiliates. All rights reserved.
+ * ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms.
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ *
+ */
+
+// package java.util;
+
+import java.util.function.Consumer;
+import java.util.function.IntConsumer;
+import java.util.function.LongConsumer;
+import java.util.function.DoubleConsumer;
+import java.util.Spliterator;
+import java.util.stream.StreamSupport;
+import java.util.stream.Stream;
+
+/**
+ * This class provides much of the implementation of the {@code SplittableRng}
+ * interface, to minimize the effort required to implement this interface.
+ *
+ * To implement a pseudorandom number generator, the programmer needs
+ * only to extend this class and provide implementations for the
+ * methods {@code nextInt()}, {@code nextLong()}, {@code period()},
+ * and {@code split(SplittableRng)}.
+ *
+ * (If the pseudorandom number generator also has the ability to jump,
+ * then the programmer may wish to consider instead extending
+ * the class {@code AbstractSplittableJumpableRng} or (if it can also leap)
+ * {@code AbstractSplittableLeapableRng}.  But if the pseudorandom number
+ * generator furthermore has the ability to jump an arbitrary specified
+ * distance, then the programmer may wish to consider instead extending
+ * the class {@code * AbstractSplittableArbitrarilyJumpableRng}.)
+ *
+ * The programmer should generally provide at least three constructors:
+ * one that takes no arguments, one that accepts a {@code long}
+ * seed value, and one that accepts an array of seed {@code byte} values.
+ * This class provides a public {@code initialSeed()} method that may
+ * be useful in initializing some static state from which to derive
+ * defaults seeds for use by the no-argument constructor.
+ *
+ * For the stream methods (such as {@code ints()} and {@code splits()}),
+ * this class provides {@code Spliterator}-based implementations that
+ * allow parallel execution when appropriate.
+ *
+ * The documentation for each non-abstract method in this class
+ * describes its implementation in detail. Each of these methods may
+ * be overridden if the pseudorandom number generator being
+ * implemented admits a more efficient implementation.
+ *
+ * @author  Guy Steele
+ * @author  Doug Lea
+ * @since   1.9
+ */
+public abstract class AbstractSplittableRng extends AbstractSpliteratorRng implements SplittableRng {
+
+    /*
+     * Implementation Overview.
+     *
+     * This class provides most of the "user API" methods needed to
+     * satisfy the interface java.util.JumpableRng.  Most of these methods
+     * are in turn inherited from AbstractRng and the non-public class
+     * AbstractSpliteratorRng; this file implements two versions of the
+     * splits method and defines the spliterators necessary to support
+     * them.
+     *
+     * The abstract split() method from interface SplittableRng is redeclared
+     * here so as to narrow the return type to AbstractSplittableRng.
+     *
+     * File organization: First the non-public methods needed by the class
+     * AbstractSpliteratorRng, then the main public methods, followed by some
+     * custom spliterator classes.
+     */
+
+    Spliterator.OfInt makeIntsSpliterator(long index, long fence, int origin, int bound) {
+	return new RandomIntsSpliterator(this, index, fence, origin, bound);
+    }
+    
+    Spliterator.OfLong makeLongsSpliterator(long index, long fence, long origin, long bound) {
+	return new RandomLongsSpliterator(this, index, fence, origin, bound);
+    }
+    
+    Spliterator.OfDouble makeDoublesSpliterator(long index, long fence, double origin, double bound) {
+	return new RandomDoublesSpliterator(this, index, fence, origin, bound);
+    }
+
+    Spliterator<SplittableRng> makeSplitsSpliterator(long index, long fence, SplittableRng source) {
+	return new RandomSplitsSpliterator(source, index, fence, this);
+    }
+
+    /* ---------------- public methods ---------------- */
+
+    /**
+     * Implements the @code{split()} method as {@code this.split(this) }.
+     *
+     * @return the new {@code AbstractSplittableRng} instance
+     */
+    public SplittableRng split() { return this.split(this); }
+    
+    // Stream methods for splittings
+
+    /**
+     * Returns an effectively unlimited stream of new pseudorandom
+     * number generators, each of which implements the {@code SplittableRng}
+     * interface.
+     *
+     * This pseudorandom number generator provides the
+     * entropy used to seed the new ones.
+     *
+     * @implNote This method is implemented to be equivalent to
+     * {@code splits(Long.MAX_VALUE)}.
+     *
+     * @return a stream of {@code SplittableRng} objects
+     */
+    public Stream<SplittableRng> splits() {
+        return this.splits(Long.MAX_VALUE, this);
+    }
+
+    /**
+     * Returns a stream producing the given {@code streamSize} number of
+     * new pseudorandom number generators, each of which implements the
+     * {@code SplittableRng} interface.
+     *
+     * This pseudorandom number generator provides the
+     * entropy used to seed the new ones.
+     *
+     * @param streamSize the number of values to generate
+     * @return a stream of {@code SplittableRng} objects
+     * @throws IllegalArgumentException if {@code streamSize} is
+     *         less than zero
+     */
+    public Stream<SplittableRng> splits(long streamSize) {
+	return this.splits(streamSize, this);
+    }
+
+    /**
+     * Returns an effectively unlimited stream of new pseudorandom
+     * number generators, each of which implements the {@code SplittableRng}
+     * interface.
+     *
+     * @implNote This method is implemented to be equivalent to
+     * {@code splits(Long.MAX_VALUE)}.
+     *
+     * @param source a {@code SplittableRng} instance to be used instead
+     *               of this one as a source of pseudorandom bits used to
+     *               initialize the state of the new ones.
+     * @return a stream of {@code SplittableRng} objects
+     */
+    public Stream<SplittableRng> splits(SplittableRng source) {
+        return this.splits(Long.MAX_VALUE, source);
+    }
+
+    /**
+     * Returns a stream producing the given {@code streamSize} number of
+     * new pseudorandom number generators, each of which implements the
+     * {@code SplittableRng} interface.
+     *
+     * @param streamSize the number of values to generate
+     * @param source a {@code SplittableRng} instance to be used instead
+     *               of this one as a source of pseudorandom bits used to
+     *               initialize the state of the new ones.
+     * @return a stream of {@code SplittableRng} objects
+     * @throws IllegalArgumentException if {@code streamSize} is
+     *         less than zero
+     */
+    public Stream<SplittableRng> splits(long streamSize, SplittableRng source) {
+	RngSupport.checkStreamSize(streamSize);
+        return StreamSupport.stream(makeSplitsSpliterator(0L, streamSize, source), false);
+    }
+        
+    /**
+     * Spliterator for int streams.  We multiplex the four int
+     * versions into one class by treating a bound less than origin as
+     * unbounded, and also by treating "infinite" as equivalent to
+     * Long.MAX_VALUE. For splits, it uses the standard divide-by-two
+     * approach. The long and double versions of this class are
+     * identical except for types.
+     */
+    static class RandomIntsSpliterator extends RngSupport.RandomSpliterator implements Spliterator.OfInt {
+	final SplittableRng generatingRng;
+        final int origin;
+        final int bound;
+
+        RandomIntsSpliterator(SplittableRng generatingRng, long index, long fence, int origin, int bound) {
+	    super(index, fence);
+	    this.generatingRng = generatingRng;
+            this.origin = origin; this.bound = bound;
+        }
+	
+        public Spliterator.OfInt trySplit() {
+            long i = index, m = (i + fence) >>> 1;
+	    if (m <= i) return null;
+	    index = m;
+	    return new RandomIntsSpliterator(generatingRng.split(), i, m, origin, bound);
+        }
+
+        public boolean tryAdvance(IntConsumer consumer) {
+            if (consumer == null) throw new NullPointerException();
+            long i = index, f = fence;
+            if (i < f) {
+                consumer.accept(RngSupport.boundedNextInt(generatingRng, origin, bound));
+                index = i + 1;
+                return true;
+            }
+            else return false;
+        }
+
+        public void forEachRemaining(IntConsumer consumer) {
+            if (consumer == null) throw new NullPointerException();
+            long i = index, f = fence;
+            if (i < f) {
+                index = f;
+                Rng r = generatingRng;
+                int o = origin, b = bound;
+                do {
+                    consumer.accept(RngSupport.boundedNextInt(r, o, b));
+                } while (++i < f);
+            }
+        }
+    }
+
+    /**
+     * Spliterator for long streams.
+     */
+    static class RandomLongsSpliterator extends RngSupport.RandomSpliterator implements Spliterator.OfLong {
+	final SplittableRng generatingRng;
+        final long origin;
+        final long bound;
+
+        RandomLongsSpliterator(SplittableRng generatingRng, long index, long fence, long origin, long bound) {
+	    super(index, fence);
+	    this.generatingRng = generatingRng;
+            this.origin = origin; this.bound = bound;
+        }
+	
+        public Spliterator.OfLong trySplit() {
+            long i = index, m = (i + fence) >>> 1;
+	    if (m <= i) return null;
+	    index = m;
+	    return new RandomLongsSpliterator(generatingRng.split(), i, m, origin, bound);
+        }
+
+        public boolean tryAdvance(LongConsumer consumer) {
+            if (consumer == null) throw new NullPointerException();
+            long i = index, f = fence;
+            if (i < f) {
+                consumer.accept(RngSupport.boundedNextLong(generatingRng, origin, bound));
+                index = i + 1;
+                return true;
+            }
+            else return false;
+        }
+
+        public void forEachRemaining(LongConsumer consumer) {
+            if (consumer == null) throw new NullPointerException();
+            long i = index, f = fence;
+            if (i < f) {
+                index = f;
+                Rng r = generatingRng;
+                long o = origin, b = bound;
+                do {
+                    consumer.accept(RngSupport.boundedNextLong(r, o, b));
+                } while (++i < f);
+            }
+        }
+    }
+
+    /**
+     * Spliterator for double streams.
+     */
+    static class RandomDoublesSpliterator extends RngSupport.RandomSpliterator implements Spliterator.OfDouble {
+	final SplittableRng generatingRng;
+        final double origin;
+        final double bound;
+
+        RandomDoublesSpliterator(SplittableRng generatingRng, long index, long fence, double origin, double bound) {
+	    super(index, fence);
+	    this.generatingRng = generatingRng;
+            this.origin = origin; this.bound = bound;
+        }
+	
+        public Spliterator.OfDouble trySplit() {
+            long i = index, m = (i + fence) >>> 1;
+	    if (m <= i) return null;
+	    index = m;
+	    return new RandomDoublesSpliterator(generatingRng.split(), i, m, origin, bound);
+        }
+
+        public boolean tryAdvance(DoubleConsumer consumer) {
+            if (consumer == null) throw new NullPointerException();
+            long i = index, f = fence;
+            if (i < f) {
+                consumer.accept(RngSupport.boundedNextDouble(generatingRng, origin, bound));
+                index = i + 1;
+                return true;
+            }
+            else return false;
+        }
+
+        public void forEachRemaining(DoubleConsumer consumer) {
+            if (consumer == null) throw new NullPointerException();
+            long i = index, f = fence;
+            if (i < f) {
+                index = f;
+                Rng r = generatingRng;
+                double o = origin, b = bound;
+                do {
+                    consumer.accept(RngSupport.boundedNextDouble(r, o, b));
+                } while (++i < f);
+            }
+        }
+    }
+
+    /**
+     * Spliterator for stream of generators of type SplittableRng.  We multiplex the two
+     * versions into one class by treating "infinite" as equivalent to Long.MAX_VALUE.
+     * For splits, it uses the standard divide-by-two approach.
+     */
+    static class RandomSplitsSpliterator extends RngSupport.RandomSpliterator implements Spliterator<SplittableRng> {
+	final SplittableRng generatingRng;
+	final SplittableRng constructingRng;
+
+        RandomSplitsSpliterator(SplittableRng generatingRng, long index, long fence, SplittableRng constructingRng) {
+	    super(index, fence);
+	    this.generatingRng = generatingRng;
+	    this.constructingRng = constructingRng;
+        }
+	
+        public Spliterator<SplittableRng> trySplit() {
+            long i = index, m = (i + fence) >>> 1;
+	    if (m <= i) return null;
+	    index = m;
+	    return new RandomSplitsSpliterator(generatingRng.split(), i, m, constructingRng);
+        }
+
+        public boolean tryAdvance(Consumer<? super SplittableRng> consumer) {
+            if (consumer == null) throw new NullPointerException();
+            long i = index, f = fence;
+            if (i < f) {
+                consumer.accept(constructingRng.split(generatingRng));
+                index = i + 1;
+                return true;
+            }
+            else return false;
+        }
+
+        public void forEachRemaining(Consumer<? super SplittableRng> consumer) {
+            if (consumer == null) throw new NullPointerException();
+            long i = index, f = fence;
+            if (i < f) {
+                index = f;
+		SplittableRng c = constructingRng;
+                SplittableRng r = generatingRng;
+                do {
+                    consumer.accept(c.split(r));
+                } while (++i < f);
+            }
+        }
+    }
+
+}