//package model.util;
import java.io.DataInputStream;
import java.io.DataOutputStream;
import java.io.IOException;
import java.io.Serializable;
import java.util.Random;
/**
* MersenneTwister and MersenneTwisterFast
* Version 15, 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 V14: made strictfp, with StrictMath.log and StrictMath.sqrt
* in nextGaussian instead of Math.log and Math.sqrt. This is largely just to be safe,
* as it presently makes no difference in the speed, correctness, or results of the
* algorithm.
*
*
Changes Since V13: clone() method CloneNotSupportedException removed.
*
*
Changes Since V12: clone() method added.
*
*
Changes Since V11: stateEquals(...) method added. MersenneTwisterFast
* is equal to other MersenneTwisterFasts with identical state; likewise
* MersenneTwister is equal to other MersenneTwister with identical state.
* This isn't equals(...) because that requires a contract of immutability
* to compare by value.
*
*
Changes Since V10: A documentation error suggested that
* setSeed(int[]) required an int[] array 624 long. In fact, the array
* can be any non-zero length. The new version also checks for this fact.
*
*
Changes Since V9: readState(stream) and writeState(stream)
* provided.
*
*
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.
*
@version 15
*/
// Note: this class is hard-inlined in all of its methods. This makes some of
// the methods well-nigh unreadable in their complexity. In fact, the Mersenne
// Twister is fairly easy code to understand: if you're trying to get a handle
// on the code, I strongly suggest looking at MersenneTwister.java first.
// -- Sean
public strictfp class MersenneTwisterFast implements Serializable, Cloneable
{
// Period parameters
private static final int N = 624;
private static final int M = 397;
private static final int MATRIX_A = 0x9908b0df; // private static final * constant vector a
private static final int UPPER_MASK = 0x80000000; // most significant w-r bits
private static final int LOWER_MASK = 0x7fffffff; // least significant r bits
// Tempering parameters
private static final int TEMPERING_MASK_B = 0x9d2c5680;
private static final int TEMPERING_MASK_C = 0xefc60000;
private int mt[]; // the array for the state vector
private int mti; // mti==N+1 means mt[N] is not initialized
private int mag01[];
// a good initial seed (of int size, though stored in a long)
//private static final long GOOD_SEED = 4357;
private double __nextNextGaussian;
private boolean __haveNextNextGaussian;
/* We're overriding all internal data, to my knowledge, so this should be okay */
public Object clone()
{
try
{
MersenneTwisterFast f = (MersenneTwisterFast)(super.clone());
f.mt = (int[])(mt.clone());
f.mag01 = (int[])(mag01.clone());
return f;
}
catch (CloneNotSupportedException e) { throw new InternalError(); } // should never happen
}
public boolean stateEquals(Object o)
{
if (o==this) return true;
if (o == null || !(o instanceof MersenneTwisterFast))
return false;
MersenneTwisterFast other = (MersenneTwisterFast) o;
if (mti != other.mti) return false;
for(int x=0;x
for(int x=0;x
return true;
}
/** Reads the entire state of the MersenneTwister RNG from the stream */
public void readState(DataInputStream stream) throws IOException
{
int len = mt.length;
for(int x=0;x
len = mag01.length;
for(int x=0;x
mti = stream.readInt();
__nextNextGaussian = stream.readDouble();
__haveNextNextGaussian = stream.readBoolean();
}
/** Writes the entire state of the MersenneTwister RNG to the stream */
public void writeState(DataOutputStream stream) throws IOException
{
int len = mt.length;
for(int x=0;x
len = mag01.length;
for(int x=0;x
stream.writeInt(mti);
stream.writeDouble(__nextNextGaussian);
stream.writeBoolean(__haveNextNextGaussian);
}
/**
* Constructor using the default seed.
*/
public MersenneTwisterFast()
{
this(System.currentTimeMillis());
}
/**
* Constructor using a given seed. Though you pass this seed in
* as a long, it's best to make sure it's actually an integer.
*
*/
public MersenneTwisterFast(final long seed)
{
setSeed(seed);
}
/**
* Constructor using an array of integers as seed.
* Your array must have a non-zero length. Only the first 624 integers
* in the array are used; if the array is shorter than this then
* integers are repeatedly used in a wrap-around fashion.
*/
public MersenneTwisterFast(final int[] array)
{
setSeed(array);
}
/**
* 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).
*/
synchronized public void setSeed(final long seed)
{
// Due to a bug in java.util.Random clear up to 1.2, we're
// doing our own Gaussian variable.
__haveNextNextGaussian = false;
mt = new int[N];
mag01 = new int[2];
mag01[0] = 0x0;
mag01[1] = MATRIX_A;
mt[0]= (int)(seed & 0xffffffff);
for (mti=1; mti
mt[mti] =
(1812433253 * (mt[mti-1] ^ (mt[mti-1] >>> 30)) + mti);
/* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */
/* In the previous versions, MSBs of the seed affect */
/* only MSBs of the array mt[]. */
/* 2002/01/09 modified by Makoto Matsumoto */
mt[mti] &= 0xffffffff;
/* for >32 bit machines */
}
}
/**
* Sets the seed of the MersenneTwister using an array of integers.
* Your array must have a non-zero length. Only the first 624 integers
* in the array are used; if the array is shorter than this then
* integers are repeatedly used in a wrap-around fashion.
*/
synchronized public void setSeed(final int[] array)
{
if (array.length == 0)
throw new IllegalArgumentException("Array length must be greater than zero");
int i, j, k;
setSeed(19650218);
i=1; j=0;
k = (N>array.length ? N : array.length);
for (; k!=0; k--)
{
mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >>> 30)) * 1664525)) + array[j] + j; /* non linear */
mt[i] &= 0xffffffff; /* for WORDSIZE > 32 machines */
i++;
j++;
if (i>=N) { mt[0] = mt[N-1]; i=1; }
if (j>=array.length) j=0;
}
for (k=N-1; k!=0; k--)
{
mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >>> 30)) * 1566083941)) - i; /* non linear */
mt[i] &= 0xffffffff; /* for WORDSIZE > 32 machines */
i++;
if (i>=N)
{
mt[0] = mt[N-1]; i=1;
}
}
mt[0] = 0x80000000; /* MSB is 1; assuring non-zero initial array */
}
public final int nextInt()
{
int y;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
return y;
}
public final short nextShort()
{
int y;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
return (short)(y >>> 16);
}
public final char nextChar()
{
int y;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
return (char)(y >>> 16);
}
public final boolean nextBoolean()
{
int y;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
return (boolean)((y >>> 31) != 0);
}
/** 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. */
public final boolean nextBoolean(final float probability)
{
int y;
if (probability < 0.0f || probability > 1.0f)
throw new IllegalArgumentException ("probability must be between 0.0 and 1.0 inclusive.");
if (probability==0.0f) return false; // fix half-open issues
else if (probability==1.0f) return true; // fix half-open issues
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
return (y >>> 8) / ((float)(1 << 24)) < probability;
}
/** 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. */
public final boolean nextBoolean(final double probability)
{
int y;
int z;
if (probability < 0.0 || probability > 1.0)
throw new IllegalArgumentException ("probability must be between 0.0 and 1.0 inclusive.");
if (probability==0.0) return false; // fix half-open issues
else if (probability==1.0) return true; // fix half-open issues
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (z >>> 1) ^ mag01[z & 0x1];
}
for (; kk < N-1; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (z >>> 1) ^ mag01[z & 0x1];
}
z = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (z >>> 1) ^ mag01[z & 0x1];
mti = 0;
}
z = mt[mti++];
z ^= z >>> 11; // TEMPERING_SHIFT_U(z)
z ^= (z << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(z)
z ^= (z << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(z)
z ^= (z >>> 18); // TEMPERING_SHIFT_L(z)
/* derived from nextDouble documentation in jdk 1.2 docs, see top */
return ((((long)(y >>> 6)) << 27) + (z >>> 5)) / (double)(1L << 53) < probability;
}
public final byte nextByte()
{
int y;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
return (byte)(y >>> 24);
}
public final void nextBytes(byte[] bytes)
{
int y;
for (int x=0;x
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
bytes[x] = (byte)(y >>> 24);
}
}
public final long nextLong()
{
int y;
int z;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (z >>> 1) ^ mag01[z & 0x1];
}
for (; kk < N-1; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (z >>> 1) ^ mag01[z & 0x1];
}
z = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (z >>> 1) ^ mag01[z & 0x1];
mti = 0;
}
z = mt[mti++];
z ^= z >>> 11; // TEMPERING_SHIFT_U(z)
z ^= (z << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(z)
z ^= (z << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(z)
z ^= (z >>> 18); // TEMPERING_SHIFT_L(z)
return (((long)y) << 32) + (long)z;
}
/** Returns a long drawn uniformly from 0 to n-1. Suffice it to say,
n must be > 0, or an IllegalArgumentException is raised. */
public final long nextLong(final long n)
{
if (n<=0)
throw new IllegalArgumentException("n must be positive");
long bits, val;
do
{
int y;
int z;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (z >>> 1) ^ mag01[z & 0x1];
}
for (; kk < N-1; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (z >>> 1) ^ mag01[z & 0x1];
}
z = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (z >>> 1) ^ mag01[z & 0x1];
mti = 0;
}
z = mt[mti++];
z ^= z >>> 11; // TEMPERING_SHIFT_U(z)
z ^= (z << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(z)
z ^= (z << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(z)
z ^= (z >>> 18); // TEMPERING_SHIFT_L(z)
bits = (((((long)y) << 32) + (long)z) >>> 1);
val = bits % n;
} while (bits - val + (n-1) < 0);
return val;
}
/** 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. */
public final double nextDouble()
{
int y;
int z;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (z >>> 1) ^ mag01[z & 0x1];
}
for (; kk < N-1; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (z >>> 1) ^ mag01[z & 0x1];
}
z = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (z >>> 1) ^ mag01[z & 0x1];
mti = 0;
}
z = mt[mti++];
z ^= z >>> 11; // TEMPERING_SHIFT_U(z)
z ^= (z << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(z)
z ^= (z << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(z)
z ^= (z >>> 18); // TEMPERING_SHIFT_L(z)
/* derived from nextDouble documentation in jdk 1.2 docs, see top */
return ((((long)(y >>> 6)) << 27) + (z >>> 5)) / (double)(1L << 53);
}
public final double nextGaussian()
{
if (__haveNextNextGaussian)
{
__haveNextNextGaussian = false;
return __nextNextGaussian;
}
else
{
double v1, v2, s;
do
{
int y;
int z;
int a;
int b;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (z >>> 1) ^ mag01[z & 0x1];
}
for (; kk < N-1; kk++)
{
z = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (z >>> 1) ^ mag01[z & 0x1];
}
z = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (z >>> 1) ^ mag01[z & 0x1];
mti = 0;
}
z = mt[mti++];
z ^= z >>> 11; // TEMPERING_SHIFT_U(z)
z ^= (z << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(z)
z ^= (z << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(z)
z ^= (z >>> 18); // TEMPERING_SHIFT_L(z)
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
a = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (a >>> 1) ^ mag01[a & 0x1];
}
for (; kk < N-1; kk++)
{
a = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (a >>> 1) ^ mag01[a & 0x1];
}
a = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (a >>> 1) ^ mag01[a & 0x1];
mti = 0;
}
a = mt[mti++];
a ^= a >>> 11; // TEMPERING_SHIFT_U(a)
a ^= (a << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(a)
a ^= (a << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(a)
a ^= (a >>> 18); // TEMPERING_SHIFT_L(a)
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
b = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (b >>> 1) ^ mag01[b & 0x1];
}
for (; kk < N-1; kk++)
{
b = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (b >>> 1) ^ mag01[b & 0x1];
}
b = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (b >>> 1) ^ mag01[b & 0x1];
mti = 0;
}
b = mt[mti++];
b ^= b >>> 11; // TEMPERING_SHIFT_U(b)
b ^= (b << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(b)
b ^= (b << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(b)
b ^= (b >>> 18); // TEMPERING_SHIFT_L(b)
/* derived from nextDouble documentation in jdk 1.2 docs, see top */
v1 = 2 *
(((((long)(y >>> 6)) << 27) + (z >>> 5)) / (double)(1L << 53))
- 1;
v2 = 2 * (((((long)(a >>> 6)) << 27) + (b >>> 5)) / (double)(1L << 53))
- 1;
s = v1 * v1 + v2 * v2;
} while (s >= 1 || s==0);
double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s)/s);
__nextNextGaussian = v2 * multiplier;
__haveNextNextGaussian = true;
return v1 * multiplier;
}
}
/** 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. */
public final float nextFloat()
{
int y;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
return (y >>> 8) / ((float)(1 << 24));
}
/** Returns an integer drawn uniformly from 0 to n-1. Suffice it to say,
n must be > 0, or an IllegalArgumentException is raised. */
public final int nextInt(final int n)
{
if (n<=0)
throw new IllegalArgumentException("n must be positive");
if ((n & -n) == n) // i.e., n is a power of 2
{
int y;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
return (int)((n * (long) (y >>> 1) ) >> 31);
}
int bits, val;
do
{
int y;
if (mti >= N) // generate N words at one time
{
int kk;
final int[] mt = this.mt; // locals are slightly faster
final int[] mag01 = this.mag01; // locals are slightly faster
for (kk = 0; kk < N - M; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+M] ^ (y >>> 1) ^ mag01[y & 0x1];
}
for (; kk < N-1; kk++)
{
y = (mt[kk] & UPPER_MASK) | (mt[kk+1] & LOWER_MASK);
mt[kk] = mt[kk+(M-N)] ^ (y >>> 1) ^ mag01[y & 0x1];
}
y = (mt[N-1] & UPPER_MASK) | (mt[0] & LOWER_MASK);
mt[N-1] = mt[M-1] ^ (y >>> 1) ^ mag01[y & 0x1];
mti = 0;
}
y = mt[mti++];
y ^= y >>> 11; // TEMPERING_SHIFT_U(y)
y ^= (y << 7) & TEMPERING_MASK_B; // TEMPERING_SHIFT_S(y)
y ^= (y << 15) & TEMPERING_MASK_C; // TEMPERING_SHIFT_T(y)
y ^= (y >>> 18); // TEMPERING_SHIFT_L(y)
bits = (y >>> 1);
val = bits % n;
} while(bits - val + (n-1) < 0);
return val;
}
/**
* Tests the code.
*/
public static void main(String args[])
{
int j;
MersenneTwisterFast r;
// CORRECTNESS TEST
// COMPARE WITH http://www.math.keio.ac.jp/matumoto/CODES/MT2002/mt19937ar.out
r = new MersenneTwisterFast(new int[]{0x123, 0x234, 0x345, 0x456});
System.out.println("Output of MersenneTwisterFast with new (2002/1/26) seeding mechanism");
for (j=0;j<1000;j++)
{
// first, convert the int from signed to "unsigned"
long l = (long)r.nextInt();
if (l < 0 ) l += 4294967296L; // max int value
String s = String.valueOf(l);
while(s.length() < 10) s = " " + s; // buffer
System.out.print(s + " ");
if (j%5==4) System.out.println();
}
// SPEED TEST
final long SEED = 4357;
int xx; long ms;
System.out.println("\nTime to test grabbing 100000000 ints");
Random rr = new Random(SEED);
xx = 0;
ms = System.currentTimeMillis();
for (j = 0; j < 100000000; j++)
xx += rr.nextInt();
System.out.println("java.util.Random: " + (System.currentTimeMillis()-ms) + " Ignore this: " + xx);
r = new MersenneTwisterFast(SEED);
ms = System.currentTimeMillis();
xx=0;
for (j = 0; j < 100000000; j++)
xx += r.nextInt();
System.out.println("Mersenne Twister Fast: " + (System.currentTimeMillis()-ms) + " Ignore this: " + xx);
// TEST TO COMPARE TYPE CONVERSION BETWEEN
// MersenneTwisterFast.java AND MersenneTwister.java
System.out.println("\nGrab the first 1000 booleans");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextBoolean() + " ");
if (j%8==7) System.out.println();
}
if (!(j%8==7)) System.out.println();
System.out.println("\nGrab 1000 booleans of increasing probability using nextBoolean(double)");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextBoolean((double)(j/999.0)) + " ");
if (j%8==7) System.out.println();
}
if (!(j%8==7)) System.out.println();
System.out.println("\nGrab 1000 booleans of increasing probability using nextBoolean(float)");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextBoolean((float)(j/999.0f)) + " ");
if (j%8==7) System.out.println();
}
if (!(j%8==7)) System.out.println();
byte[] bytes = new byte[1000];
System.out.println("\nGrab the first 1000 bytes using nextBytes");
r = new MersenneTwisterFast(SEED);
r.nextBytes(bytes);
for (j = 0; j < 1000; j++)
{
System.out.print(bytes[j] + " ");
if (j%16==15) System.out.println();
}
if (!(j%16==15)) System.out.println();
byte b;
System.out.println("\nGrab the first 1000 bytes -- must be same as nextBytes");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print((b = r.nextByte()) + " ");
if (b!=bytes[j]) System.out.print("BAD ");
if (j%16==15) System.out.println();
}
if (!(j%16==15)) System.out.println();
System.out.println("\nGrab the first 1000 shorts");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextShort() + " ");
if (j%8==7) System.out.println();
}
if (!(j%8==7)) System.out.println();
System.out.println("\nGrab the first 1000 ints");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextInt() + " ");
if (j%4==3) System.out.println();
}
if (!(j%4==3)) System.out.println();
System.out.println("\nGrab the first 1000 ints of different sizes");
r = new MersenneTwisterFast(SEED);
int max = 1;
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextInt(max) + " ");
max *= 2;
if (max <= 0) max = 1;
if (j%4==3) System.out.println();
}
if (!(j%4==3)) System.out.println();
System.out.println("\nGrab the first 1000 longs");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextLong() + " ");
if (j%3==2) System.out.println();
}
if (!(j%3==2)) System.out.println();
System.out.println("\nGrab the first 1000 longs of different sizes");
r = new MersenneTwisterFast(SEED);
long max2 = 1;
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextLong(max2) + " ");
max2 *= 2;
if (max2 <= 0) max2 = 1;
if (j%4==3) System.out.println();
}
if (!(j%4==3)) System.out.println();
System.out.println("\nGrab the first 1000 floats");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextFloat() + " ");
if (j%4==3) System.out.println();
}
if (!(j%4==3)) System.out.println();
System.out.println("\nGrab the first 1000 doubles");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextDouble() + " ");
if (j%3==2) System.out.println();
}
if (!(j%3==2)) System.out.println();
System.out.println("\nGrab the first 1000 gaussian doubles");
r = new MersenneTwisterFast(SEED);
for (j = 0; j < 1000; j++)
{
System.out.print(r.nextGaussian() + " ");
if (j%3==2) System.out.println();
}
if (!(j%3==2)) System.out.println();
}
}