final class MersenneTwisterFast extends Random with Serializable with Cloneable
MersenneTwister and MersenneTwisterFast
Version 9, based on version MT199937(99/10/29) of the Mersenne Twister algorithm found at The Mersenne Twister Home Page, with the initialization improved using the new 2002/1/26 initialization algorithm By Sean Luke, October 2004.
MersenneTwister is a drop-in subclass replacement for java.util.Random. It is properly synchronized and can be used in a multithreaded environment. On modern VMs such as HotSpot, it is approximately 1/3 slower than java.util.Random.
MersenneTwisterFast is not a subclass of java.util.Random. It has the same public methods as Random does, however, and it is algorithmically identical to MersenneTwister. MersenneTwisterFast has hard-code inlined all of its methods directly, and made all of them final (well, the ones of consequence anyway). Further, these methods are not synchronized, so the same MersenneTwisterFast instance cannot be shared by multiple threads. But all this helps MersenneTwisterFast achieve well over twice the speed of MersenneTwister. java.util.Random is about 1/3 slower than MersenneTwisterFast.
About the Mersenne Twister
This is a Java version of the C-program for MT19937: Integer version. The MT19937 algorithm was created by Makoto Matsumoto and Takuji Nishimura, who ask: "When you use this, send an email to: matumoto@math.keio.ac.jp with an appropriate reference to your work". Indicate that this is a translation of their algorithm into Java.
Reference. Makato Matsumoto and Takuji Nishimura, "Mersenne Twister: A 623-Dimensionally Equidistributed Uniform Pseudo-Random Number Generator", ACM Transactions on Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3--30.
About this Version
Changes Since V8: setSeed(int) was only using the first 28 bits of the seed; it should have been 32 bits. For small-number seeds the behavior is identical.
Changes Since V7: A documentation error in MersenneTwisterFast (but not MersenneTwister) stated that nextDouble selects uniformly from the full-open interval [0,1]. It does not. nextDouble's contract is identical across MersenneTwisterFast, MersenneTwister, and java.util.Random, namely, selection in the half-open interval [0,1). That is, 1.0 should not be returned. A similar contract exists in nextFloat.
Changes Since V6: License has changed from LGPL to BSD. New timing information to compare against java.util.Random. Recent versions of HotSpot have helped Random increase in speed to the point where it is faster than MersenneTwister but slower than MersenneTwisterFast (which should be the case, as it's a less complex algorithm but is synchronized).
Changes Since V5: New empty constructor made to work the same as java.util.Random -- namely, it seeds based on the current time in milliseconds.
Changes Since V4: New initialization algorithms. See (see http://www.math.keio.ac.jp/matumoto/MT2002/emt19937ar.html)
The MersenneTwister code is based on standard MT19937 C/C++ code by Takuji Nishimura, with suggestions from Topher Cooper and Marc Rieffel, July 1997. The code was originally translated into Java by Michael Lecuyer, January 1999, and the original code is Copyright (c) 1999 by Michael Lecuyer.
Java notes
This implementation implements the bug fixes made in Java 1.2's version of Random, which means it can be used with earlier versions of Java. See the JDK 1.2 java.util.Random documentation for further documentation on the random-number generation contracts made. Additionally, there's an undocumented bug in the JDK java.util.Random.nextBytes() method, which this code fixes.
Just like java.util.Random, this generator accepts a long seed but doesn't use all of it. java.util.Random uses 48 bits. The Mersenne Twister instead uses 32 bits (int size). So it's best if your seed does not exceed the int range.
MersenneTwister can be used reliably on JDK version 1.1.5 or above. Earlier Java versions have serious bugs in java.util.Random; only MersenneTwisterFast (and not MersenneTwister nor java.util.Random) should be used with them.
License
Copyright (c) 2003 by Sean Luke.
Portions copyright (c) 1993 by Michael Lecuyer.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the name of the copyright owners, their employers, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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- MersenneTwisterFast.java
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def
clone(): MersenneTwisterFast
This method added for use by NetLogo's "with-local-randomness" primitive.
This method added for use by NetLogo's "with-local-randomness" primitive. It was not in Sean's original code.
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def
doubles(arg0: Double, arg1: Double): DoubleStream
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doubles(arg0: Long, arg1: Double, arg2: Double): DoubleStream
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doubles(): DoubleStream
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doubles(arg0: Long): DoubleStream
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ints(): IntStream
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ints(arg0: Long): IntStream
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load(s: String): Unit
This method added for use by NetLogo's import-world feature.
This method added for use by NetLogo's import-world feature. It was not in Sean's original code.
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def
longs(arg0: Long, arg1: Long): LongStream
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def
longs(arg0: Long, arg1: Long, arg2: Long): LongStream
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def
longs(): LongStream
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def
longs(arg0: Long): LongStream
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final
def
ne(arg0: AnyRef): Boolean
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def
next(bits: Int): Int
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def
nextBoolean(probability: Double): Boolean
This generates a coin flip with a probability probability of returning true, else returning false.
This generates a coin flip with a probability probability of returning true, else returning false. probability must be between 0.0 and 1.0, inclusive.
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def
nextBoolean(probability: Float): Boolean
This generates a coin flip with a probability probability of returning true, else returning false.
This generates a coin flip with a probability probability of returning true, else returning false. probability must be between 0.0 and 1.0, inclusive. Not as precise a random real event as nextBoolean(double), but twice as fast. To explicitly use this, remember you may need to cast to float first.
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def
nextBoolean(): Boolean
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- def nextByte(): Byte
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def
nextBytes(bytes: Array[Byte]): Unit
- Definition Classes
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def
nextDouble(): Double
Returns a random double in the half-open range from [0.0,1.0).
Returns a random double in the half-open range from [0.0,1.0). Thus 0.0 is a valid result but 1.0 is not.
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def
nextDouble(arg0: Double, arg1: Double): Double
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def
nextDouble(arg0: Double): Double
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def
nextExponential(): Double
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def
nextFloat(): Float
Returns a random float in the half-open range from [0.0f,1.0f).
Returns a random float in the half-open range from [0.0f,1.0f). Thus 0.0f is a valid result but 1.0f is not.
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def
nextFloat(arg0: Float, arg1: Float): Float
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def
nextFloat(arg0: Float): Float
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def
nextGaussian(): Double
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def
nextGaussian(arg0: Double, arg1: Double): Double
- Definition Classes
- RandomGenerator
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def
nextInt(n: Int): Int
Returns an integer drawn uniformly from 0 to n-1.
Returns an integer drawn uniformly from 0 to n-1. Suffice it to say, n must be > 0, or an IllegalArgumentException is raised.
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def
nextInt(): Int
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def
nextInt(arg0: Int, arg1: Int): Int
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def
nextLong(n: Long): Long
Returns a long drawn uniformly from 0 to n-1.
Returns a long drawn uniformly from 0 to n-1. Suffice it to say, n must be > 0, or an IllegalArgumentException is raised.
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- MersenneTwisterFast → RandomGenerator
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def
nextLong(): Long
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def
nextLong(arg0: Long, arg1: Long): Long
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def
save(): String
This method added for use by NetLogo's export-world feature.
This method added for use by NetLogo's export-world feature. It was not in Sean's original code.
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def
setSeed(array: Array[Int]): Unit
An alternative, more complete, method of seeding the pseudo random number generator.
An alternative, more complete, method of seeding the pseudo random number generator. array must be an array of 624 ints, and they can be any value as long as they're not *all* zero.
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def
setSeed(seed: Long): Unit
Initalize the pseudo random number generator.
Initalize the pseudo random number generator. Don't pass in a long that's bigger than an int (Mersenne Twister only uses the first 32 bits for its seed).
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