1 | /*
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2 | * Licensed to the Apache Software Foundation (ASF) under one or more
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3 | * contributor license agreements. See the NOTICE file distributed with
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4 | * this work for additional information regarding copyright ownership.
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5 | * The ASF licenses this file to You under the Apache License, Version 2.0
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6 | * (the "License"); you may not use this file except in compliance with
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7 | * the License. You may obtain a copy of the License at
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8 | *
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9 | * http://www.apache.org/licenses/LICENSE-2.0
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10 | *
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11 | * Unless required by applicable law or agreed to in writing, software
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12 | * distributed under the License is distributed on an "AS IS" BASIS,
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13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 | * See the License for the specific language governing permissions and
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15 | * limitations under the License.
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16 | */
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17 | package agents.anac.y2019.harddealer.math3.random;
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18 |
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19 | import java.io.Serializable;
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20 |
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21 | import agents.anac.y2019.harddealer.math3.util.FastMath;
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22 |
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23 |
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24 | /** This class implements a powerful pseudo-random number generator
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25 | * developed by Makoto Matsumoto and Takuji Nishimura during
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26 | * 1996-1997.
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27 |
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28 | * <p>This generator features an extremely long period
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29 | * (2<sup>19937</sup>-1) and 623-dimensional equidistribution up to 32
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30 | * bits accuracy. The home page for this generator is located at <a
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31 | * href="http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html">
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32 | * http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html</a>.</p>
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33 |
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34 | * <p>This generator is described in a paper by Makoto Matsumoto and
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35 | * Takuji Nishimura in 1998: <a
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36 | * href="http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/ARTICLES/mt.pdf">Mersenne
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37 | * Twister: A 623-Dimensionally Equidistributed Uniform Pseudo-Random
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38 | * Number Generator</a>, ACM Transactions on Modeling and Computer
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39 | * Simulation, Vol. 8, No. 1, January 1998, pp 3--30</p>
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40 |
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41 | * <p>This class is mainly a Java port of the 2002-01-26 version of
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42 | * the generator written in C by Makoto Matsumoto and Takuji
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43 | * Nishimura. Here is their original copyright:</p>
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44 |
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45 | * <table border="0" width="80%" cellpadding="10" align="center" bgcolor="#E0E0E0">
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46 | * <tr><td>Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
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47 | * All rights reserved.</td></tr>
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48 |
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49 | * <tr><td>Redistribution and use in source and binary forms, with or without
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50 | * modification, are permitted provided that the following conditions
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51 | * are met:
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52 | * <ol>
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53 | * <li>Redistributions of source code must retain the above copyright
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54 | * notice, this list of conditions and the following disclaimer.</li>
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55 | * <li>Redistributions in binary form must reproduce the above copyright
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56 | * notice, this list of conditions and the following disclaimer in the
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57 | * documentation and/or other materials provided with the distribution.</li>
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58 | * <li>The names of its contributors may not be used to endorse or promote
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59 | * products derived from this software without specific prior written
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60 | * permission.</li>
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61 | * </ol></td></tr>
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62 |
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63 | * <tr><td><strong>THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
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64 | * CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
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65 | * INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
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66 | * MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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67 | * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS
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68 | * BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
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69 | * OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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70 | * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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71 | * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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72 | * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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73 | * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
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74 | * USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
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75 | * DAMAGE.</strong></td></tr>
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76 | * </table>
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77 |
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78 | * @since 2.0
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79 |
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80 | */
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81 | public class MersenneTwister extends BitsStreamGenerator implements Serializable {
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82 |
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83 | /** Serializable version identifier. */
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84 | private static final long serialVersionUID = 8661194735290153518L;
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85 |
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86 | /** Size of the bytes pool. */
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87 | private static final int N = 624;
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88 |
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89 | /** Period second parameter. */
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90 | private static final int M = 397;
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91 |
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92 | /** X * MATRIX_A for X = {0, 1}. */
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93 | private static final int[] MAG01 = { 0x0, 0x9908b0df };
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94 |
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95 | /** Bytes pool. */
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96 | private int[] mt;
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97 |
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98 | /** Current index in the bytes pool. */
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99 | private int mti;
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100 |
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101 | /** Creates a new random number generator.
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102 | * <p>The instance is initialized using the current time plus the
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103 | * system identity hash code of this instance as the seed.</p>
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104 | */
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105 | public MersenneTwister() {
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106 | mt = new int[N];
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107 | setSeed(System.currentTimeMillis() + System.identityHashCode(this));
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108 | }
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109 |
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110 | /** Creates a new random number generator using a single int seed.
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111 | * @param seed the initial seed (32 bits integer)
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112 | */
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113 | public MersenneTwister(int seed) {
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114 | mt = new int[N];
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115 | setSeed(seed);
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116 | }
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117 |
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118 | /** Creates a new random number generator using an int array seed.
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119 | * @param seed the initial seed (32 bits integers array), if null
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120 | * the seed of the generator will be related to the current time
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121 | */
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122 | public MersenneTwister(int[] seed) {
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123 | mt = new int[N];
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124 | setSeed(seed);
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125 | }
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126 |
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127 | /** Creates a new random number generator using a single long seed.
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128 | * @param seed the initial seed (64 bits integer)
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129 | */
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130 | public MersenneTwister(long seed) {
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131 | mt = new int[N];
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132 | setSeed(seed);
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133 | }
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134 |
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135 | /** Reinitialize the generator as if just built with the given int seed.
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136 | * <p>The state of the generator is exactly the same as a new
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137 | * generator built with the same seed.</p>
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138 | * @param seed the initial seed (32 bits integer)
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139 | */
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140 | @Override
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141 | public void setSeed(int seed) {
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142 | // we use a long masked by 0xffffffffL as a poor man unsigned int
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143 | long longMT = seed;
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144 | // NB: unlike original C code, we are working with java longs, the cast below makes masking unnecessary
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145 | mt[0]= (int) longMT;
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146 | for (mti = 1; mti < N; ++mti) {
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147 | // See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier.
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148 | // initializer from the 2002-01-09 C version by Makoto Matsumoto
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149 | longMT = (1812433253l * (longMT ^ (longMT >> 30)) + mti) & 0xffffffffL;
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150 | mt[mti]= (int) longMT;
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151 | }
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152 |
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153 | clear(); // Clear normal deviate cache
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154 | }
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155 |
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156 | /** Reinitialize the generator as if just built with the given int array seed.
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157 | * <p>The state of the generator is exactly the same as a new
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158 | * generator built with the same seed.</p>
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159 | * @param seed the initial seed (32 bits integers array), if null
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160 | * the seed of the generator will be the current system time plus the
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161 | * system identity hash code of this instance
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162 | */
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163 | @Override
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164 | public void setSeed(int[] seed) {
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165 |
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166 | if (seed == null) {
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167 | setSeed(System.currentTimeMillis() + System.identityHashCode(this));
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168 | return;
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169 | }
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170 |
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171 | setSeed(19650218);
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172 | int i = 1;
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173 | int j = 0;
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174 |
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175 | for (int k = FastMath.max(N, seed.length); k != 0; k--) {
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176 | long l0 = (mt[i] & 0x7fffffffl) | ((mt[i] < 0) ? 0x80000000l : 0x0l);
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177 | long l1 = (mt[i-1] & 0x7fffffffl) | ((mt[i-1] < 0) ? 0x80000000l : 0x0l);
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178 | long l = (l0 ^ ((l1 ^ (l1 >> 30)) * 1664525l)) + seed[j] + j; // non linear
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179 | mt[i] = (int) (l & 0xffffffffl);
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180 | i++; j++;
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181 | if (i >= N) {
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182 | mt[0] = mt[N - 1];
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183 | i = 1;
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184 | }
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185 | if (j >= seed.length) {
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186 | j = 0;
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187 | }
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188 | }
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189 |
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190 | for (int k = N - 1; k != 0; k--) {
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191 | long l0 = (mt[i] & 0x7fffffffl) | ((mt[i] < 0) ? 0x80000000l : 0x0l);
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192 | long l1 = (mt[i-1] & 0x7fffffffl) | ((mt[i-1] < 0) ? 0x80000000l : 0x0l);
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193 | long l = (l0 ^ ((l1 ^ (l1 >> 30)) * 1566083941l)) - i; // non linear
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194 | mt[i] = (int) (l & 0xffffffffL);
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195 | i++;
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196 | if (i >= N) {
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197 | mt[0] = mt[N - 1];
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198 | i = 1;
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199 | }
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200 | }
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201 |
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202 | mt[0] = 0x80000000; // MSB is 1; assuring non-zero initial array
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203 |
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204 | clear(); // Clear normal deviate cache
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205 |
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206 | }
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207 |
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208 | /** Reinitialize the generator as if just built with the given long seed.
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209 | * <p>The state of the generator is exactly the same as a new
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210 | * generator built with the same seed.</p>
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211 | * @param seed the initial seed (64 bits integer)
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212 | */
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213 | @Override
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214 | public void setSeed(long seed) {
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215 | setSeed(new int[] { (int) (seed >>> 32), (int) (seed & 0xffffffffl) });
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216 | }
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217 |
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218 | /** Generate next pseudorandom number.
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219 | * <p>This method is the core generation algorithm. It is used by all the
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220 | * public generation methods for the various primitive types {@link
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221 | * #nextBoolean()}, {@link #nextBytes(byte[])}, {@link #nextDouble()},
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222 | * {@link #nextFloat()}, {@link #nextGaussian()}, {@link #nextInt()},
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223 | * {@link #next(int)} and {@link #nextLong()}.</p>
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224 | * @param bits number of random bits to produce
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225 | * @return random bits generated
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226 | */
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227 | @Override
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228 | protected int next(int bits) {
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229 |
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230 | int y;
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231 |
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232 | if (mti >= N) { // generate N words at one time
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233 | int mtNext = mt[0];
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234 | for (int k = 0; k < N - M; ++k) {
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235 | int mtCurr = mtNext;
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236 | mtNext = mt[k + 1];
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237 | y = (mtCurr & 0x80000000) | (mtNext & 0x7fffffff);
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238 | mt[k] = mt[k + M] ^ (y >>> 1) ^ MAG01[y & 0x1];
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239 | }
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240 | for (int k = N - M; k < N - 1; ++k) {
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241 | int mtCurr = mtNext;
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242 | mtNext = mt[k + 1];
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243 | y = (mtCurr & 0x80000000) | (mtNext & 0x7fffffff);
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244 | mt[k] = mt[k + (M - N)] ^ (y >>> 1) ^ MAG01[y & 0x1];
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245 | }
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246 | y = (mtNext & 0x80000000) | (mt[0] & 0x7fffffff);
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247 | mt[N - 1] = mt[M - 1] ^ (y >>> 1) ^ MAG01[y & 0x1];
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248 |
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249 | mti = 0;
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250 | }
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251 |
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252 | y = mt[mti++];
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253 |
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254 | // tempering
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255 | y ^= y >>> 11;
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256 | y ^= (y << 7) & 0x9d2c5680;
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257 | y ^= (y << 15) & 0xefc60000;
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258 | y ^= y >>> 18;
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259 |
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260 | return y >>> (32 - bits);
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261 |
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262 | }
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263 |
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264 | }
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