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Comparing jsr166/src/main/java/util/SplittableRandom.java (file contents):
Revision 1.2 by dl, Wed Jul 10 23:42:43 2013 UTC vs.
Revision 1.31 by jsr166, Fri Feb 19 03:39:15 2016 UTC

#	Line 26 | Line 26
26		package java.util;
27
28		import java.util.concurrent.atomic.AtomicLong;
29	<	import java.util.Spliterator;
29	>	import java.util.function.DoubleConsumer;
30		import java.util.function.IntConsumer;
31		import java.util.function.LongConsumer;
32	<	import java.util.function.DoubleConsumer;
33	<	import java.util.stream.StreamSupport;
32	>	import java.util.stream.DoubleStream;
33		import java.util.stream.IntStream;
34		import java.util.stream.LongStream;
35	<	import java.util.stream.DoubleStream;
37	<
35	>	import java.util.stream.StreamSupport;
36
37		/**
38		* A generator of uniform pseudorandom values applicable for use in
39		* (among other contexts) isolated parallel computations that may
40	<	* generate subtasks. Class SplittableRandom supports methods for
41	<	* producing pseudorandom nunmbers of type {@code int}, {@code long},
40	>	* generate subtasks. Class {@code SplittableRandom} supports methods for
41	>	* producing pseudorandom numbers of type {@code int}, {@code long},
42		* and {@code double} with similar usages as for class
43	<	* {@link java.util.Random} but differs in the following ways: <ul>
43	>	* {@link java.util.Random} but differs in the following ways:
44	>	*
45	>	* <ul>
46		*
47		* <li>Series of generated values pass the DieHarder suite testing
48		* independence and uniformity properties of random number generators.
#	Line 50 | Line 50 | import java.util.stream.DoubleStream;
50		* href="http://www.phy.duke.edu/~rgb/General/dieharder.php"> version
51		* 3.31.1</a>.) These tests validate only the methods for certain
52		* types and ranges, but similar properties are expected to hold, at
53	<	* least approximately, for others as well.  </li>
53	>	* least approximately, for others as well. The <em>period</em>
54	>	* (length of any series of generated values before it repeats) is at
55	>	* least 2<sup>64</sup>.
56		*
57	<	* <li> Method {@link #split} constructs and returns a new
57	>	* <li>Method {@link #split} constructs and returns a new
58		* SplittableRandom instance that shares no mutable state with the
59	<	* current instance. However, with very high probability, the set of
60	<	* values collectively generated by the two objects has the same
59	>	* current instance. However, with very high probability, the
60	>	* values collectively generated by the two objects have the same
61		* statistical properties as if the same quantity of values were
62		* generated by a single thread using a single {@code
63	<	* SplittableRandom} object.  </li>
63	>	* SplittableRandom} object.
64		*
65		* <li>Instances of SplittableRandom are <em>not</em> thread-safe.
66		* They are designed to be split, not shared, across threads. For
#	Line 69 | Line 71 | import java.util.stream.DoubleStream;
71		*
72		* <li>This class provides additional methods for generating random
73		* streams, that employ the above techniques when used in {@code
74	<	* stream.parallel()} mode.</li>
74	>	* stream.parallel()} mode.
75		*
76		* </ul>
77		*
78	+	* <p>Instances of {@code SplittableRandom} are not cryptographically
79	+	* secure.  Consider instead using {@link java.security.SecureRandom}
80	+	* in security-sensitive applications. Additionally,
81	+	* default-constructed instances do not use a cryptographically random
82	+	* seed unless the {@linkplain System#getProperty system property}
83	+	* {@code java.util.secureRandomSeed} is set to {@code true}.
84	+	*
85		* @author  Guy Steele
86		* @author  Doug Lea
87		* @since   1.8
88		*/
89	<	public class SplittableRandom {
81	<
82	<	/*
83	<	* File organization: First the non-public methods that constitute
84	<	* the main algorithm, then the main public methods, followed by
85	<	* some custom spliterator classes needed for stream methods.
86	<	*
87	<	* Credits: Primary algorithm and code by Guy Steele.  Stream
88	<	* support methods by Doug Lea.  Documentation jointly produced
89	<	* with additional help from Brian Goetz.
90	<	*/
89	>	public final class SplittableRandom {
90
91		/*
92		* Implementation Overview.
#	Line 95 | Line 94 | public class SplittableRandom {
94		* This algorithm was inspired by the "DotMix" algorithm by
95		* Leiserson, Schardl, and Sukha "Deterministic Parallel
96		* Random-Number Generation for Dynamic-Multithreading Platforms",
97	<	* PPoPP 2012, but improves and extends it in several ways.
97	>	* PPoPP 2012, as well as those in "Parallel random numbers: as
98	>	* easy as 1, 2, 3" by Salmon, Morae, Dror, and Shaw, SC 2011.  It
99	>	* differs mainly in simplifying and cheapening operations.
100	>	*
101	>	* The primary update step (method nextSeed()) is to add a
102	>	* constant ("gamma") to the current (64 bit) seed, forming a
103	>	* simple sequence.  The seed and the gamma values for any two
104	>	* SplittableRandom instances are highly likely to be different.
105	>	*
106	>	* Methods nextLong, nextInt, and derivatives do not return the
107	>	* sequence (seed) values, but instead a hash-like bit-mix of
108	>	* their bits, producing more independently distributed sequences.
109	>	* For nextLong, the mix64 function is based on David Stafford's
110	>	* (http://zimbry.blogspot.com/2011/09/better-bit-mixing-improving-on.html)
111	>	* "Mix13" variant of the "64-bit finalizer" function in Austin
112	>	* Appleby's MurmurHash3 algorithm (see
113	>	* http://code.google.com/p/smhasher/wiki/MurmurHash3). The mix32
114	>	* function is based on Stafford's Mix04 mix function, but returns
115	>	* the upper 32 bits cast as int.
116	>	*
117	>	* The split operation uses the current generator to form the seed
118	>	* and gamma for another SplittableRandom.  To conservatively
119	>	* avoid potential correlations between seed and value generation,
120	>	* gamma selection (method mixGamma) uses different
121	>	* (Murmurhash3's) mix constants.  To avoid potential weaknesses
122	>	* in bit-mixing transformations, we restrict gammas to odd values
123	>	* with at least 24 0-1 or 1-0 bit transitions.  Rather than
124	>	* rejecting candidates with too few or too many bits set, method
125	>	* mixGamma flips some bits (which has the effect of mapping at
126	>	* most 4 to any given gamma value).  This reduces the effective
127	>	* set of 64bit odd gamma values by about 2%, and serves as an
128	>	* automated screening for sequence constant selection that is
129	>	* left as an empirical decision in some other hashing and crypto
130	>	* algorithms.
131	>	*
132	>	* The resulting generator thus transforms a sequence in which
133	>	* (typically) many bits change on each step, with an inexpensive
134	>	* mixer with good (but less than cryptographically secure)
135	>	* avalanching.
136	>	*
137	>	* The default (no-argument) constructor, in essence, invokes
138	>	* split() for a common "defaultGen" SplittableRandom.  Unlike
139	>	* other cases, this split must be performed in a thread-safe
140	>	* manner, so we use an AtomicLong to represent the seed rather
141	>	* than use an explicit SplittableRandom. To bootstrap the
142	>	* defaultGen, we start off using a seed based on current time
143	>	* unless the java.util.secureRandomSeed property is set. This
144	>	* serves as a slimmed-down (and insecure) variant of SecureRandom
145	>	* that also avoids stalls that may occur when using /dev/random.
146	>	*
147	>	* It is a relatively simple matter to apply the basic design here
148	>	* to use 128 bit seeds. However, emulating 128bit arithmetic and
149	>	* carrying around twice the state add more overhead than appears
150	>	* warranted for current usages.
151		*
152	<	* The primary update step is simply to add a constant ("gamma")
153	<	* to the current seed, modulo a prime ("George"). However, the
154	<	* nextLong and nextInt methods do not return this value, but
155	<	* instead the results of bit-mixing transformations that produce
104	<	* more uniformly distributed sequences.
105	<	*
106	<	* "George" is the otherwise nameless (because it cannot be
107	<	* represented) prime number 2^64+13. Using a prime number larger
108	<	* than can fit in a long ensures that all possible long values
109	<	* can occur, plus 13 others that just get skipped over when they
110	<	* are encountered; see method addGammaModGeorge. For this to
111	<	* work, initial gamma values must be at least 13.
112	<	*
113	<	* The value of gamma differs for each instance across a series of
114	<	* splits, and is generated using a slightly stripped-down variant
115	<	* of the same algorithm, but operating across calls to split(),
116	<	* not calls to nextSeed(): Each instance carries the state of
117	<	* this generator as nextSplit, and uses mix64(nextSplit) as its
118	<	* own gamma value. Computations of gammas themselves use a fixed
119	<	* constant as the second argument to the addGammaModGeorge
120	<	* function, GAMMA_GAMMA, a "genuinely random" number from a
121	<	* radioactive decay reading (obtained from
122	<	* http://www.fourmilab.ch/hotbits/) meeting the above range
123	<	* constraint. Using a fixed constant maintains the invariant that
124	<	* the value of gamma is the same for every instance that is at
125	<	* the same split-distance from their common root. (Note: there is
126	<	* nothing especially magic about obtaining this constant from a
127	<	* "truly random" physical source rather than just choosing one
128	<	* arbitrarily; using "hotbits" was merely an aesthetically pleasing
129	<	* choice.  In either case, good statistical behavior of the
130	<	* algorithm should be, and was, verified by using the DieHarder
131	<	* test suite.)
132	<	*
133	<	* The mix64 bit-mixing function called by nextLong and other
134	<	* methods computes the same value as the "64-bit finalizer"
135	<	* function in Austin Appleby's MurmurHash3 algorithm.  See
136	<	* http://code.google.com/p/smhasher/wiki/MurmurHash3 , which
137	<	* comments: "The constants for the finalizers were generated by a
138	<	* simple simulated-annealing algorithm, and both avalanche all
139	<	* bits of 'h' to within 0.25% bias." It also appears to work to
140	<	* use instead any of the variants proposed by David Stafford at
141	<	* http://zimbry.blogspot.com/2011/09/better-bit-mixing-improving-on.html
142	<	* but these variants have not yet been tested as thoroughly
143	<	* in the context of the implementation of SplittableRandom.
144	<	*
145	<	* The mix32 function used for nextInt just consists of two of the
146	<	* five lines of mix64; avalanche testing shows that the 64-bit result
147	<	* has its top 32 bits avalanched well, though not the bottom 32 bits.
148	<	* DieHarder tests show that it is adequate for generating one
149	<	* random int from the 64-bit result of nextSeed.
150	<	*
151	<	* Support for the default (no-argument) constructor relies on an
152	<	* AtomicLong (defaultSeedGenerator) to help perform the
153	<	* equivalent of a split of a statically constructed
154	<	* SplittableRandom. Unlike other cases, this split must be
155	<	* performed in a thread-safe manner. We use
156	<	* AtomicLong.compareAndSet as the (typically) most efficient
157	<	* mechanism. To bootstrap, we start off using System.nanotime(),
158	<	* and update using another "genuinely random" constant
159	<	* DEFAULT_SEED_GAMMA. The default constructor uses GAMMA_GAMMA,
160	<	* not 0, for its splitSeed argument (addGammaModGeorge(0,
161	<	* GAMMA_GAMMA) == GAMMA_GAMMA) to reflect that each is split from
162	<	* this root generator, even though the root is not explicitly
163	<	* represented as a SplittableRandom.
164	<	*/
165	<
166	<	/**
167	<	* The "genuinely random" value for producing new gamma values.
168	<	* The value is arbitrary, subject to the requirement that it be
169	<	* greater or equal to 13.
170	<	*/
171	<	private static final long GAMMA_GAMMA = 0xF2281E2DBA6606F3L;
172	<
173	<	/**
174	<	* The "genuinely random" seed update value for default constructors.
175	<	* The value is arbitrary, subject to the requirement that it be
176	<	* greater or equal to 13.
177	<	*/
178	<	private static final long DEFAULT_SEED_GAMMA = 0xBD24B73A95FB84D9L;
152	>	* File organization: First the non-public methods that constitute
153	>	* the main algorithm, then the main public methods, followed by
154	>	* some custom spliterator classes needed for stream methods.
155	>	*/
156
157		/**
158	<	* The next seed for default constructors.
158	>	* The golden ratio scaled to 64bits, used as the initial gamma
159	>	* value for (unsplit) SplittableRandoms.
160		*/
161	<	private static final AtomicLong defaultSeedGenerator =
184	<	new AtomicLong(System.nanoTime());
161	>	private static final long GOLDEN_GAMMA = 0x9e3779b97f4a7c15L;
162
163		/**
164	<	* The seed, updated only via method nextSeed.
164	>	* The least non-zero value returned by nextDouble(). This value
165	>	* is scaled by a random value of 53 bits to produce a result.
166		*/
167	<	private long seed;
167	>	private static final double DOUBLE_UNIT = 0x1.0p-53; // 1.0 / (1L << 53);
168
169		/**
170	<	* The constant value added to seed (mod George) on each update.
170	>	* The seed. Updated only via method nextSeed.
171		*/
172	<	private final long gamma;
172	>	private long seed;
173
174		/**
175	<	* The next seed to use for splits. Propagated using
198	<	* addGammaModGeorge across instances.
175	>	* The step value.
176		*/
177	<	private final long nextSplit;
177	>	private final long gamma;
178
179		/**
180	<	* Internal constructor used by all other constructors and by
204	<	* method split. Establishes the initial seed for this instance,
205	<	* and uses the given splitSeed to establish gamma, as well as the
206	<	* nextSplit to use by this instance.
180	>	* Internal constructor used by all others except default constructor.
181		*/
182	<	private SplittableRandom(long seed, long splitSeed) {
182	>	private SplittableRandom(long seed, long gamma) {
183		this.seed = seed;
184	<	long s = splitSeed, g;
211	<	do { // ensure gamma >= 13, considered as an unsigned integer
212	<	s = addGammaModGeorge(s, GAMMA_GAMMA);
213	<	g = mix64(s);
214	<	} while (Long.compareUnsigned(g, 13L) < 0);
215	<	this.gamma = g;
216	<	this.nextSplit = s;
184	>	this.gamma = gamma;
185		}
186
187		/**
188	<	* Adds the given gamma value, g, to the given seed value s, mod
189	<	* George (2^64+13). We regard s and g as unsigned values
190	<	* (ranging from 0 to 2^64-1). We add g to s either once or twice
191	<	* (mod George) as necessary to produce an (unsigned) result less
192	<	* than 2^64.  We require that g must be at least 13. This
193	<	* guarantees that if (s+g) mod George >= 2^64 then (s+g+g) mod
226	<	* George < 2^64; thus we need only a conditional, not a loop,
227	<	* to be sure of getting a representable value.
228	<	*
229	<	* @param s a seed value
230	<	* @param g a gamma value, 13 <= g (as unsigned)
231	<	*/
232	<	private static long addGammaModGeorge(long s, long g) {
233	<	long p = s + g;
234	<	if (Long.compareUnsigned(p, g) >= 0)
235	<	return p;
236	<	long q = p - 13L;
237	<	return (Long.compareUnsigned(p, 13L) >= 0) ? q : (q + g);
188	>	* Computes Stafford variant 13 of 64bit mix function.
189	>	*/
190	>	private static long mix64(long z) {
191	>	z = (z ^ (z >>> 30)) * 0xbf58476d1ce4e5b9L;
192	>	z = (z ^ (z >>> 27)) * 0x94d049bb133111ebL;
193	>	return z ^ (z >>> 31);
194		}
195
196		/**
197	<	* Updates in-place and returns seed.
242	<	* See above for explanation.
197	>	* Returns the 32 high bits of Stafford variant 4 mix64 function as int.
198		*/
199	<	private long nextSeed() {
200	<	return seed = addGammaModGeorge(seed, gamma);
199	>	private static int mix32(long z) {
200	>	z = (z ^ (z >>> 33)) * 0x62a9d9ed799705f5L;
201	>	return (int)(((z ^ (z >>> 28)) * 0xcb24d0a5c88c35b3L) >>> 32);
202		}
203
204		/**
205	<	* Returns a bit-mixed transformation of its argument.
250	<	* See above for explanation.
205	>	* Returns the gamma value to use for a new split instance.
206		*/
207	<	private static long mix64(long z) {
208	<	z ^= (z >>> 33);
209	<	z *= 0xff51afd7ed558ccdL;
210	<	z ^= (z >>> 33);
211	<	z *= 0xc4ceb9fe1a85ec53L;
212	<	z ^= (z >>> 33);
258	<	return z;
207	>	private static long mixGamma(long z) {
208	>	z = (z ^ (z >>> 33)) * 0xff51afd7ed558ccdL; // MurmurHash3 mix constants
209	>	z = (z ^ (z >>> 33)) * 0xc4ceb9fe1a85ec53L;
210	>	z = (z ^ (z >>> 33)) | 1L;                  // force to be odd
211	>	int n = Long.bitCount(z ^ (z >>> 1));       // ensure enough transitions
212	>	return (n < 24) ? z ^ 0xaaaaaaaaaaaaaaaaL : z;
213		}
214
215		/**
216	<	* Returns a bit-mixed int transformation of its argument.
263	<	* See above for explanation.
216	>	* Adds gamma to seed.
217		*/
218	<	private static int mix32(long z) {
219	<	z ^= (z >>> 33);
267	<	z *= 0xc4ceb9fe1a85ec53L;
268	<	return (int)(z >>> 32);
218	>	private long nextSeed() {
219	>	return seed += gamma;
220		}
221
222		/**
223	<	* Atomically updates and returns next seed for default constructor
223	>	* The seed generator for default constructors.
224		*/
225	<	private static long nextDefaultSeed() {
226	<	long oldSeed, newSeed;
227	<	do {
228	<	oldSeed = defaultSeedGenerator.get();
229	<	newSeed = addGammaModGeorge(oldSeed, DEFAULT_SEED_GAMMA);
230	<	} while (!defaultSeedGenerator.compareAndSet(oldSeed, newSeed));
231	<	return mix64(newSeed);
225	>	private static final AtomicLong defaultGen = new AtomicLong(initialSeed());
226	>
227	>	private static long initialSeed() {
228	>	if (java.security.AccessController.doPrivileged(
229	>	new java.security.PrivilegedAction<Boolean>() {
230	>	public Boolean run() {
231	>	return Boolean.getBoolean("java.util.secureRandomSeed");
232	>	}})) {
233	>	byte[] seedBytes = java.security.SecureRandom.getSeed(8);
234	>	long s = (long)seedBytes[0] & 0xffL;
235	>	for (int i = 1; i < 8; ++i)
236	>	s = (s << 8) | ((long)seedBytes[i] & 0xffL);
237	>	return s;
238	>	}
239	>	return (mix64(System.currentTimeMillis()) ^
240	>	mix64(System.nanoTime()));
241		}
242
243	+	// IllegalArgumentException messages
244	+	static final String BAD_BOUND = "bound must be positive";
245	+	static final String BAD_RANGE = "bound must be greater than origin";
246	+	static final String BAD_SIZE  = "size must be non-negative";
247	+
248		/*
249		* Internal versions of nextX methods used by streams, as well as
250		* the public nextX(origin, bound) methods.  These exist mainly to
#	Line 311 | Line 276 | public class SplittableRandom {
276		* evenly divisible by the range. The loop rejects candidates
277		* computed from otherwise over-represented values.  The
278		* expected number of iterations under an ideal generator
279	<	* varies from 1 to 2, depending on the bound.
279	>	* varies from 1 to 2, depending on the bound. The loop itself
280	>	* takes an unlovable form. Because the first candidate is
281	>	* already available, we need a break-in-the-middle
282	>	* construction, which is concisely but cryptically performed
283	>	* within the while-condition of a body-less for loop.
284		*
285		* 4. Otherwise, the range cannot be represented as a positive
286	<	* long.  Repeatedly generate unbounded longs until obtaining
287	<	* a candidate meeting constraints (with an expected number of
288	<	* iterations of less than two).
286	>	* long.  The loop repeatedly generates unbounded longs until
287	>	* obtaining a candidate meeting constraints (with an expected
288	>	* number of iterations of less than two).
289		*/
290
291		long r = mix64(nextSeed());
292		if (origin < bound) {
293		long n = bound - origin, m = n - 1;
294	<	if ((n & m) == 0L) // power of two
294	>	if ((n & m) == 0L)  // power of two
295		r = (r & m) + origin;
296	<	else if (n > 0) { // reject over-represented candidates
296	>	else if (n > 0L) {  // reject over-represented candidates
297		for (long u = r >>> 1;            // ensure nonnegative
298	<	u + m - (r = u % n) < 0L;    // reject
298	>	u + m - (r = u % n) < 0L;    // rejection check
299		u = mix64(nextSeed()) >>> 1) // retry
300		;
301		r += origin;
302		}
303	<	else {             // range not representable as long
303	>	else {              // range not representable as long
304		while (r < origin || r >= bound)
305		r = mix64(nextSeed());
306		}
#	Line 351 | Line 320 | public class SplittableRandom {
320		int r = mix32(nextSeed());
321		if (origin < bound) {
322		int n = bound - origin, m = n - 1;
323	<	if ((n & m) == 0L)
323	>	if ((n & m) == 0)
324		r = (r & m) + origin;
325		else if (n > 0) {
326		for (int u = r >>> 1;
327	<	u + m - (r = u % n) < 0L;
327	>	u + m - (r = u % n) < 0;
328		u = mix32(nextSeed()) >>> 1)
329		;
330		r += origin;
#	Line 376 | Line 345 | public class SplittableRandom {
345		* @return a pseudorandom value
346		*/
347		final double internalNextDouble(double origin, double bound) {
348	<	long bits = (1023L << 52) | (nextLong() >>> 12);
380	<	double r = Double.longBitsToDouble(bits) - 1.0;
348	>	double r = (nextLong() >>> 11) * DOUBLE_UNIT;
349		if (origin < bound) {
350		r = r * (bound - origin) + origin;
351	<	if (r == bound) // correct for rounding
351	>	if (r >= bound) // correct for rounding
352		r = Double.longBitsToDouble(Double.doubleToLongBits(bound) - 1);
353		}
354		return r;
#	Line 389 | Line 357 | public class SplittableRandom {
357		/* ---------------- public methods ---------------- */
358
359		/**
360	<	* Creates a new SplittableRandom instance using the given initial
361	<	* seed. Two SplittableRandom instances created with the same seed
362	<	* generate identical sequences of values.
360	>	* Creates a new SplittableRandom instance using the specified
361	>	* initial seed. SplittableRandom instances created with the same
362	>	* seed in the same program generate identical sequences of values.
363		*
364		* @param seed the initial seed
365		*/
366		public SplittableRandom(long seed) {
367	<	this(seed, 0);
367	>	this(seed, GOLDEN_GAMMA);
368		}
369
370		/**
#	Line 405 | Line 373 | public class SplittableRandom {
373		* of those of any other instances in the current program; and
374		* may, and typically does, vary across program invocations.
375		*/
376	<	public SplittableRandom() {
377	<	this(nextDefaultSeed(), GAMMA_GAMMA);
376	>	public SplittableRandom() { // emulate defaultGen.split()
377	>	long s = defaultGen.getAndAdd(2 * GOLDEN_GAMMA);
378	>	this.seed = mix64(s);
379	>	this.gamma = mixGamma(s + GOLDEN_GAMMA);
380		}
381
382		/**
#	Line 424 | Line 394 | public class SplittableRandom {
394		* @return the new SplittableRandom instance
395		*/
396		public SplittableRandom split() {
397	<	return new SplittableRandom(nextSeed(), nextSplit);
397	>	return new SplittableRandom(nextLong(), mixGamma(nextSeed()));
398		}
399
400		/**
401		* Returns a pseudorandom {@code int} value.
402		*
403	<	* @return a pseudorandom value
403	>	* @return a pseudorandom {@code int} value
404		*/
405		public int nextInt() {
406		return mix32(nextSeed());
407		}
408
409		/**
410	<	* Returns a pseudorandom {@code int} value between 0 (inclusive)
410	>	* Returns a pseudorandom {@code int} value between zero (inclusive)
411		* and the specified bound (exclusive).
412		*
413	<	* @param bound the bound on the random number to be returned.  Must be
414	<	*        positive.
415	<	* @return a pseudorandom {@code int} value between {@code 0}
416	<	*         (inclusive) and the bound (exclusive).
447	<	* @exception IllegalArgumentException if the bound is not positive
413	>	* @param bound the upper bound (exclusive).  Must be positive.
414	>	* @return a pseudorandom {@code int} value between zero
415	>	*         (inclusive) and the bound (exclusive)
416	>	* @throws IllegalArgumentException if {@code bound} is not positive
417		*/
418		public int nextInt(int bound) {
419		if (bound <= 0)
420	<	throw new IllegalArgumentException("bound must be positive");
420	>	throw new IllegalArgumentException(BAD_BOUND);
421		// Specialize internalNextInt for origin 0
422		int r = mix32(nextSeed());
423		int m = bound - 1;
424	<	if ((bound & m) == 0L) // power of two
424	>	if ((bound & m) == 0) // power of two
425		r &= m;
426		else { // reject over-represented candidates
427		for (int u = r >>> 1;
428	<	u + m - (r = u % bound) < 0L;
428	>	u + m - (r = u % bound) < 0;
429		u = mix32(nextSeed()) >>> 1)
430		;
431		}
#	Line 470 | Line 439 | public class SplittableRandom {
439		* @param origin the least value returned
440		* @param bound the upper bound (exclusive)
441		* @return a pseudorandom {@code int} value between the origin
442	<	*         (inclusive) and the bound (exclusive).
443	<	* @exception IllegalArgumentException if {@code origin} is greater than
442	>	*         (inclusive) and the bound (exclusive)
443	>	* @throws IllegalArgumentException if {@code origin} is greater than
444		*         or equal to {@code bound}
445		*/
446		public int nextInt(int origin, int bound) {
447		if (origin >= bound)
448	<	throw new IllegalArgumentException("bound must be greater than origin");
448	>	throw new IllegalArgumentException(BAD_RANGE);
449		return internalNextInt(origin, bound);
450		}
451
452		/**
453		* Returns a pseudorandom {@code long} value.
454		*
455	<	* @return a pseudorandom value
455	>	* @return a pseudorandom {@code long} value
456		*/
457		public long nextLong() {
458		return mix64(nextSeed());
459		}
460
461		/**
462	<	* Returns a pseudorandom {@code long} value between 0 (inclusive)
462	>	* Returns a pseudorandom {@code long} value between zero (inclusive)
463		* and the specified bound (exclusive).
464		*
465	<	* @param bound the bound on the random number to be returned.  Must be
466	<	*        positive.
467	<	* @return a pseudorandom {@code long} value between {@code 0}
468	<	*         (inclusive) and the bound (exclusive).
500	<	* @exception IllegalArgumentException if the bound is not positive
465	>	* @param bound the upper bound (exclusive).  Must be positive.
466	>	* @return a pseudorandom {@code long} value between zero
467	>	*         (inclusive) and the bound (exclusive)
468	>	* @throws IllegalArgumentException if {@code bound} is not positive
469		*/
470		public long nextLong(long bound) {
471		if (bound <= 0)
472	<	throw new IllegalArgumentException("bound must be positive");
472	>	throw new IllegalArgumentException(BAD_BOUND);
473		// Specialize internalNextLong for origin 0
474		long r = mix64(nextSeed());
475		long m = bound - 1;
#	Line 523 | Line 491 | public class SplittableRandom {
491		* @param origin the least value returned
492		* @param bound the upper bound (exclusive)
493		* @return a pseudorandom {@code long} value between the origin
494	<	*         (inclusive) and the bound (exclusive).
495	<	* @exception IllegalArgumentException if {@code origin} is greater than
494	>	*         (inclusive) and the bound (exclusive)
495	>	* @throws IllegalArgumentException if {@code origin} is greater than
496		*         or equal to {@code bound}
497		*/
498		public long nextLong(long origin, long bound) {
499		if (origin >= bound)
500	<	throw new IllegalArgumentException("bound must be greater than origin");
500	>	throw new IllegalArgumentException(BAD_RANGE);
501		return internalNextLong(origin, bound);
502		}
503
504		/**
505	<	* Returns a pseudorandom {@code double} value between {@code 0.0}
506	<	* (inclusive) and {@code 1.0} (exclusive).
505	>	* Returns a pseudorandom {@code double} value between zero
506	>	* (inclusive) and one (exclusive).
507		*
508	<	* @return a pseudorandom value between {@code 0.0}
509	<	* (inclusive) and {@code 1.0} (exclusive)
508	>	* @return a pseudorandom {@code double} value between zero
509	>	*         (inclusive) and one (exclusive)
510		*/
511		public double nextDouble() {
512	<	long bits = (1023L << 52) | (nextLong() >>> 12);
545	<	return Double.longBitsToDouble(bits) - 1.0;
512	>	return (mix64(nextSeed()) >>> 11) * DOUBLE_UNIT;
513		}
514
515		/**
516		* Returns a pseudorandom {@code double} value between 0.0
517		* (inclusive) and the specified bound (exclusive).
518		*
519	<	* @param bound the bound on the random number to be returned.  Must be
520	<	*        positive.
521	<	* @return a pseudorandom {@code double} value between {@code 0.0}
555	<	*         (inclusive) and the bound (exclusive).
519	>	* @param bound the upper bound (exclusive).  Must be positive.
520	>	* @return a pseudorandom {@code double} value between zero
521	>	*         (inclusive) and the bound (exclusive)
522		* @throws IllegalArgumentException if {@code bound} is not positive
523		*/
524		public double nextDouble(double bound) {
525	<	if (bound <= 0.0)
526	<	throw new IllegalArgumentException("bound must be positive");
527	<	double result = nextDouble() * bound;
525	>	if (!(bound > 0.0))
526	>	throw new IllegalArgumentException(BAD_BOUND);
527	>	double result = (mix64(nextSeed()) >>> 11) * DOUBLE_UNIT * bound;
528		return (result < bound) ?  result : // correct for rounding
529		Double.longBitsToDouble(Double.doubleToLongBits(bound) - 1);
530		}
531
532		/**
533	<	* Returns a pseudorandom {@code double} value between the given
533	>	* Returns a pseudorandom {@code double} value between the specified
534		* origin (inclusive) and bound (exclusive).
535		*
536		* @param origin the least value returned
537	<	* @param bound the upper bound
537	>	* @param bound the upper bound (exclusive)
538		* @return a pseudorandom {@code double} value between the origin
539	<	*         (inclusive) and the bound (exclusive).
539	>	*         (inclusive) and the bound (exclusive)
540		* @throws IllegalArgumentException if {@code origin} is greater than
541		*         or equal to {@code bound}
542		*/
543		public double nextDouble(double origin, double bound) {
544	<	if (origin >= bound)
545	<	throw new IllegalArgumentException("bound must be greater than origin");
544	>	if (!(origin < bound))
545	>	throw new IllegalArgumentException(BAD_RANGE);
546		return internalNextDouble(origin, bound);
547		}
548
549	+	/**
550	+	* Returns a pseudorandom {@code boolean} value.
551	+	*
552	+	* @return a pseudorandom {@code boolean} value
553	+	*/
554	+	public boolean nextBoolean() {
555	+	return mix32(nextSeed()) < 0;
556	+	}
557	+
558		// stream methods, coded in a way intended to better isolate for
559		// maintenance purposes the small differences across forms.
560
561		/**
562	<	* Returns a stream with the given {@code streamSize} number of
563	<	* pseudorandom {@code int} values.
562	>	* Returns a stream producing the given {@code streamSize} number
563	>	* of pseudorandom {@code int} values from this generator and/or
564	>	* one split from it.
565		*
566		* @param streamSize the number of values to generate
567		* @return a stream of pseudorandom {@code int} values
568		* @throws IllegalArgumentException if {@code streamSize} is
569	<	* less than zero
569	>	*         less than zero
570		*/
571		public IntStream ints(long streamSize) {
572		if (streamSize < 0L)
573	<	throw new IllegalArgumentException("negative Stream size");
573	>	throw new IllegalArgumentException(BAD_SIZE);
574		return StreamSupport.intStream
575		(new RandomIntsSpliterator
576		(this, 0L, streamSize, Integer.MAX_VALUE, 0),
#	Line 603 | Line 579 | public class SplittableRandom {
579
580		/**
581		* Returns an effectively unlimited stream of pseudorandom {@code int}
582	<	* values
582	>	* values from this generator and/or one split from it.
583		*
584		* @implNote This method is implemented to be equivalent to {@code
585		* ints(Long.MAX_VALUE)}.
#	Line 618 | Line 594 | public class SplittableRandom {
594		}
595
596		/**
597	<	* Returns a stream with the given {@code streamSize} number of
598	<	* pseudorandom {@code int} values, each conforming to the given
599	<	* origin and bound.
597	>	* Returns a stream producing the given {@code streamSize} number
598	>	* of pseudorandom {@code int} values from this generator and/or one split
599	>	* from it; each value conforms to the given origin (inclusive) and bound
600	>	* (exclusive).
601		*
602		* @param streamSize the number of values to generate
603	<	* @param randomNumberOrigin the origin of each random value
604	<	* @param randomNumberBound the bound of each random value
603	>	* @param randomNumberOrigin the origin (inclusive) of each random value
604	>	* @param randomNumberBound the bound (exclusive) of each random value
605		* @return a stream of pseudorandom {@code int} values,
606	<	* each with the given origin and bound.
606	>	*         each with the given origin (inclusive) and bound (exclusive)
607		* @throws IllegalArgumentException if {@code streamSize} is
608	<	* less than zero.
632	<	* @throws IllegalArgumentException if {@code randomNumberOrigin}
608	>	*         less than zero, or {@code randomNumberOrigin}
609		*         is greater than or equal to {@code randomNumberBound}
610		*/
611		public IntStream ints(long streamSize, int randomNumberOrigin,
612		int randomNumberBound) {
613		if (streamSize < 0L)
614	<	throw new IllegalArgumentException("negative Stream size");
614	>	throw new IllegalArgumentException(BAD_SIZE);
615		if (randomNumberOrigin >= randomNumberBound)
616	<	throw new IllegalArgumentException("bound must be greater than origin");
616	>	throw new IllegalArgumentException(BAD_RANGE);
617		return StreamSupport.intStream
618		(new RandomIntsSpliterator
619		(this, 0L, streamSize, randomNumberOrigin, randomNumberBound),
#	Line 646 | Line 622 | public class SplittableRandom {
622
623		/**
624		* Returns an effectively unlimited stream of pseudorandom {@code
625	<	* int} values, each conforming to the given origin and bound.
625	>	* int} values from this generator and/or one split from it; each value
626	>	* conforms to the given origin (inclusive) and bound (exclusive).
627		*
628		* @implNote This method is implemented to be equivalent to {@code
629		* ints(Long.MAX_VALUE, randomNumberOrigin, randomNumberBound)}.
630		*
631	<	* @param randomNumberOrigin the origin of each random value
632	<	* @param randomNumberBound the bound of each random value
631	>	* @param randomNumberOrigin the origin (inclusive) of each random value
632	>	* @param randomNumberBound the bound (exclusive) of each random value
633		* @return a stream of pseudorandom {@code int} values,
634	<	* each with the given origin and bound.
634	>	*         each with the given origin (inclusive) and bound (exclusive)
635		* @throws IllegalArgumentException if {@code randomNumberOrigin}
636		*         is greater than or equal to {@code randomNumberBound}
637		*/
638		public IntStream ints(int randomNumberOrigin, int randomNumberBound) {
639		if (randomNumberOrigin >= randomNumberBound)
640	<	throw new IllegalArgumentException("bound must be greater than origin");
640	>	throw new IllegalArgumentException(BAD_RANGE);
641		return StreamSupport.intStream
642		(new RandomIntsSpliterator
643		(this, 0L, Long.MAX_VALUE, randomNumberOrigin, randomNumberBound),
#	Line 668 | Line 645 | public class SplittableRandom {
645		}
646
647		/**
648	<	* Returns a stream with the given {@code streamSize} number of
649	<	* pseudorandom {@code long} values.
648	>	* Returns a stream producing the given {@code streamSize} number
649	>	* of pseudorandom {@code long} values from this generator and/or
650	>	* one split from it.
651		*
652		* @param streamSize the number of values to generate
653	<	* @return a stream of {@code long} values
653	>	* @return a stream of pseudorandom {@code long} values
654		* @throws IllegalArgumentException if {@code streamSize} is
655	<	* less than zero
655	>	*         less than zero
656		*/
657		public LongStream longs(long streamSize) {
658		if (streamSize < 0L)
659	<	throw new IllegalArgumentException("negative Stream size");
659	>	throw new IllegalArgumentException(BAD_SIZE);
660		return StreamSupport.longStream
661		(new RandomLongsSpliterator
662		(this, 0L, streamSize, Long.MAX_VALUE, 0L),
#	Line 686 | Line 664 | public class SplittableRandom {
664		}
665
666		/**
667	<	* Returns an effectively unlimited stream of pseudorandom {@code long}
668	<	* values.
667	>	* Returns an effectively unlimited stream of pseudorandom {@code
668	>	* long} values from this generator and/or one split from it.
669		*
670		* @implNote This method is implemented to be equivalent to {@code
671		* longs(Long.MAX_VALUE)}.
#	Line 702 | Line 680 | public class SplittableRandom {
680		}
681
682		/**
683	<	* Returns a stream with the given {@code streamSize} number of
684	<	* pseudorandom {@code long} values, each conforming to the
685	<	* given origin and bound.
683	>	* Returns a stream producing the given {@code streamSize} number of
684	>	* pseudorandom {@code long} values from this generator and/or one split
685	>	* from it; each value conforms to the given origin (inclusive) and bound
686	>	* (exclusive).
687		*
688		* @param streamSize the number of values to generate
689	<	* @param randomNumberOrigin the origin of each random value
690	<	* @param randomNumberBound the bound of each random value
689	>	* @param randomNumberOrigin the origin (inclusive) of each random value
690	>	* @param randomNumberBound the bound (exclusive) of each random value
691		* @return a stream of pseudorandom {@code long} values,
692	<	* each with the given origin and bound.
692	>	*         each with the given origin (inclusive) and bound (exclusive)
693		* @throws IllegalArgumentException if {@code streamSize} is
694	<	* less than zero.
716	<	* @throws IllegalArgumentException if {@code randomNumberOrigin}
694	>	*         less than zero, or {@code randomNumberOrigin}
695		*         is greater than or equal to {@code randomNumberBound}
696		*/
697		public LongStream longs(long streamSize, long randomNumberOrigin,
698		long randomNumberBound) {
699		if (streamSize < 0L)
700	<	throw new IllegalArgumentException("negative Stream size");
700	>	throw new IllegalArgumentException(BAD_SIZE);
701		if (randomNumberOrigin >= randomNumberBound)
702	<	throw new IllegalArgumentException("bound must be greater than origin");
702	>	throw new IllegalArgumentException(BAD_RANGE);
703		return StreamSupport.longStream
704		(new RandomLongsSpliterator
705		(this, 0L, streamSize, randomNumberOrigin, randomNumberBound),
#	Line 730 | Line 708 | public class SplittableRandom {
708
709		/**
710		* Returns an effectively unlimited stream of pseudorandom {@code
711	<	* long} values, each conforming to the given origin and bound.
711	>	* long} values from this generator and/or one split from it; each value
712	>	* conforms to the given origin (inclusive) and bound (exclusive).
713		*
714		* @implNote This method is implemented to be equivalent to {@code
715		* longs(Long.MAX_VALUE, randomNumberOrigin, randomNumberBound)}.
716		*
717	<	* @param randomNumberOrigin the origin of each random value
718	<	* @param randomNumberBound the bound of each random value
717	>	* @param randomNumberOrigin the origin (inclusive) of each random value
718	>	* @param randomNumberBound the bound (exclusive) of each random value
719		* @return a stream of pseudorandom {@code long} values,
720	<	* each with the given origin and bound.
720	>	*         each with the given origin (inclusive) and bound (exclusive)
721		* @throws IllegalArgumentException if {@code randomNumberOrigin}
722		*         is greater than or equal to {@code randomNumberBound}
723		*/
724		public LongStream longs(long randomNumberOrigin, long randomNumberBound) {
725		if (randomNumberOrigin >= randomNumberBound)
726	<	throw new IllegalArgumentException("bound must be greater than origin");
726	>	throw new IllegalArgumentException(BAD_RANGE);
727		return StreamSupport.longStream
728		(new RandomLongsSpliterator
729		(this, 0L, Long.MAX_VALUE, randomNumberOrigin, randomNumberBound),
#	Line 752 | Line 731 | public class SplittableRandom {
731		}
732
733		/**
734	<	* Returns a stream with the given {@code streamSize} number of
735	<	* pseudorandom {@code double} values, each between {@code 0.0}
736	<	* (inclusive) and {@code 1.0} (exclusive).
734	>	* Returns a stream producing the given {@code streamSize} number of
735	>	* pseudorandom {@code double} values from this generator and/or one split
736	>	* from it; each value is between zero (inclusive) and one (exclusive).
737		*
738		* @param streamSize the number of values to generate
739		* @return a stream of {@code double} values
740		* @throws IllegalArgumentException if {@code streamSize} is
741	<	* less than zero
741	>	*         less than zero
742		*/
743		public DoubleStream doubles(long streamSize) {
744		if (streamSize < 0L)
745	<	throw new IllegalArgumentException("negative Stream size");
745	>	throw new IllegalArgumentException(BAD_SIZE);
746		return StreamSupport.doubleStream
747		(new RandomDoublesSpliterator
748		(this, 0L, streamSize, Double.MAX_VALUE, 0.0),
#	Line 772 | Line 751 | public class SplittableRandom {
751
752		/**
753		* Returns an effectively unlimited stream of pseudorandom {@code
754	<	* double} values, each between {@code 0.0} (inclusive) and {@code
755	<	* 1.0} (exclusive).
754	>	* double} values from this generator and/or one split from it; each value
755	>	* is between zero (inclusive) and one (exclusive).
756		*
757		* @implNote This method is implemented to be equivalent to {@code
758		* doubles(Long.MAX_VALUE)}.
#	Line 788 | Line 767 | public class SplittableRandom {
767		}
768
769		/**
770	<	* Returns a stream with the given {@code streamSize} number of
771	<	* pseudorandom {@code double} values, each conforming to the
772	<	* given origin and bound.
770	>	* Returns a stream producing the given {@code streamSize} number of
771	>	* pseudorandom {@code double} values from this generator and/or one split
772	>	* from it; each value conforms to the given origin (inclusive) and bound
773	>	* (exclusive).
774		*
775		* @param streamSize the number of values to generate
776	<	* @param randomNumberOrigin the origin of each random value
777	<	* @param randomNumberBound the bound of each random value
776	>	* @param randomNumberOrigin the origin (inclusive) of each random value
777	>	* @param randomNumberBound the bound (exclusive) of each random value
778		* @return a stream of pseudorandom {@code double} values,
779	<	* each with the given origin and bound.
779	>	*         each with the given origin (inclusive) and bound (exclusive)
780		* @throws IllegalArgumentException if {@code streamSize} is
781	<	* less than zero.
781	>	*         less than zero
782		* @throws IllegalArgumentException if {@code randomNumberOrigin}
783		*         is greater than or equal to {@code randomNumberBound}
784		*/
785		public DoubleStream doubles(long streamSize, double randomNumberOrigin,
786		double randomNumberBound) {
787		if (streamSize < 0L)
788	<	throw new IllegalArgumentException("negative Stream size");
789	<	if (randomNumberOrigin >= randomNumberBound)
790	<	throw new IllegalArgumentException("bound must be greater than origin");
788	>	throw new IllegalArgumentException(BAD_SIZE);
789	>	if (!(randomNumberOrigin < randomNumberBound))
790	>	throw new IllegalArgumentException(BAD_RANGE);
791		return StreamSupport.doubleStream
792		(new RandomDoublesSpliterator
793		(this, 0L, streamSize, randomNumberOrigin, randomNumberBound),
#	Line 816 | Line 796 | public class SplittableRandom {
796
797		/**
798		* Returns an effectively unlimited stream of pseudorandom {@code
799	<	* double} values, each conforming to the given origin and bound.
799	>	* double} values from this generator and/or one split from it; each value
800	>	* conforms to the given origin (inclusive) and bound (exclusive).
801		*
802		* @implNote This method is implemented to be equivalent to {@code
803		* doubles(Long.MAX_VALUE, randomNumberOrigin, randomNumberBound)}.
804		*
805	<	* @param randomNumberOrigin the origin of each random value
806	<	* @param randomNumberBound the bound of each random value
805	>	* @param randomNumberOrigin the origin (inclusive) of each random value
806	>	* @param randomNumberBound the bound (exclusive) of each random value
807		* @return a stream of pseudorandom {@code double} values,
808	<	* each with the given origin and bound.
808	>	*         each with the given origin (inclusive) and bound (exclusive)
809		* @throws IllegalArgumentException if {@code randomNumberOrigin}
810		*         is greater than or equal to {@code randomNumberBound}
811		*/
812		public DoubleStream doubles(double randomNumberOrigin, double randomNumberBound) {
813	<	if (randomNumberOrigin >= randomNumberBound)
814	<	throw new IllegalArgumentException("bound must be greater than origin");
813	>	if (!(randomNumberOrigin < randomNumberBound))
814	>	throw new IllegalArgumentException(BAD_RANGE);
815		return StreamSupport.doubleStream
816		(new RandomDoublesSpliterator
817		(this, 0L, Long.MAX_VALUE, randomNumberOrigin, randomNumberBound),
#	Line 839 | Line 820 | public class SplittableRandom {
820
821		/**
822		* Spliterator for int streams.  We multiplex the four int
823	<	* versions into one class by treating and bound < origin as
823	>	* versions into one class by treating a bound less than origin as
824		* unbounded, and also by treating "infinite" as equivalent to
825		* Long.MAX_VALUE. For splits, it uses the standard divide-by-two
826		* approach. The long and double versions of this class are
827		* identical except for types.
828		*/
829	<	static class RandomIntsSpliterator implements Spliterator.OfInt {
829	>	private static final class RandomIntsSpliterator
830	>	implements Spliterator.OfInt {
831		final SplittableRandom rng;
832		long index;
833		final long fence;
#	Line 869 | Line 851 | public class SplittableRandom {
851
852		public int characteristics() {
853		return (Spliterator.SIZED | Spliterator.SUBSIZED |
854	<	Spliterator.ORDERED | Spliterator.NONNULL |
873	<	Spliterator.IMMUTABLE);
854	>	Spliterator.NONNULL | Spliterator.IMMUTABLE);
855		}
856
857		public boolean tryAdvance(IntConsumer consumer) {
#	Line 889 | Line 870 | public class SplittableRandom {
870		long i = index, f = fence;
871		if (i < f) {
872		index = f;
873	+	SplittableRandom r = rng;
874		int o = origin, b = bound;
875		do {
876	<	consumer.accept(rng.internalNextInt(o, b));
876	>	consumer.accept(r.internalNextInt(o, b));
877		} while (++i < f);
878		}
879		}
#	Line 900 | Line 882 | public class SplittableRandom {
882		/**
883		* Spliterator for long streams.
884		*/
885	<	static class RandomLongsSpliterator implements Spliterator.OfLong {
885	>	private static final class RandomLongsSpliterator
886	>	implements Spliterator.OfLong {
887		final SplittableRandom rng;
888		long index;
889		final long fence;
#	Line 924 | Line 907 | public class SplittableRandom {
907
908		public int characteristics() {
909		return (Spliterator.SIZED | Spliterator.SUBSIZED |
910	<	Spliterator.ORDERED | Spliterator.NONNULL |
928	<	Spliterator.IMMUTABLE);
910	>	Spliterator.NONNULL | Spliterator.IMMUTABLE);
911		}
912
913		public boolean tryAdvance(LongConsumer consumer) {
#	Line 944 | Line 926 | public class SplittableRandom {
926		long i = index, f = fence;
927		if (i < f) {
928		index = f;
929	+	SplittableRandom r = rng;
930		long o = origin, b = bound;
931		do {
932	<	consumer.accept(rng.internalNextLong(o, b));
932	>	consumer.accept(r.internalNextLong(o, b));
933		} while (++i < f);
934		}
935		}
#	Line 956 | Line 939 | public class SplittableRandom {
939		/**
940		* Spliterator for double streams.
941		*/
942	<	static class RandomDoublesSpliterator implements Spliterator.OfDouble {
942	>	private static final class RandomDoublesSpliterator
943	>	implements Spliterator.OfDouble {
944		final SplittableRandom rng;
945		long index;
946		final long fence;
#	Line 980 | Line 964 | public class SplittableRandom {
964
965		public int characteristics() {
966		return (Spliterator.SIZED | Spliterator.SUBSIZED |
967	<	Spliterator.ORDERED | Spliterator.NONNULL |
984	<	Spliterator.IMMUTABLE);
967	>	Spliterator.NONNULL | Spliterator.IMMUTABLE);
968		}
969
970		public boolean tryAdvance(DoubleConsumer consumer) {
#	Line 1000 | Line 983 | public class SplittableRandom {
983		long i = index, f = fence;
984		if (i < f) {
985		index = f;
986	+	SplittableRandom r = rng;
987		double o = origin, b = bound;
988		do {
989	<	consumer.accept(rng.internalNextDouble(o, b));
989	>	consumer.accept(r.internalNextDouble(o, b));
990		} while (++i < f);
991		}
992		}
993		}
994
995		}
1012	–

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