[2] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | /*
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| 23 | * C# port of the freeware implementation of the Mersenne Twister
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| 24 | * originally developed by M. Matsumoto and T. Nishimura
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| 25 | *
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| 26 | * M. Matsumoto and T. Nishimura,
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| 27 | * "Mersenne Twister: A 623-Dimensionally Equidistributed Uniform
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| 28 | * Pseudo-Random Number Generator",
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| 29 | * ACM Transactions on Modeling and Computer Simulation,
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| 30 | * Vol. 8, No. 1, January 1998, pp 3-30.
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| 31 | *
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| 32 | */
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| 33 |
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| 34 | using System;
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| 35 | using System.Collections.Generic;
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| 36 | using System.Text;
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| 37 | using System.Xml;
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| 38 | using HeuristicLab.Core;
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| 39 |
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| 40 | namespace HeuristicLab.Random {
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[1153] | 41 | /// <summary>
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| 42 | /// A 623-Dimensionally Equidistributed Uniform Pseudo-Random Number Generator.
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| 43 | /// </summary>
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[2] | 44 | public class MersenneTwister : ItemBase, IRandom {
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| 45 | private const int n = 624, m = 397;
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| 46 |
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| 47 | private object locker = new object();
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| 48 | private uint[] state = new uint[n];
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| 49 | private int p = 0;
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| 50 | private bool init = false;
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| 51 |
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[1153] | 52 | /// <summary>
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| 53 | /// Initializes a new instance of <see cref="MersenneTwister"/>.
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| 54 | /// </summary>
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[2] | 55 | public MersenneTwister() {
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| 56 | if (!init) seed((uint)DateTime.Now.Ticks);
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| 57 | init = true;
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| 58 | }
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[1153] | 59 | /// <summary>
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| 60 | /// Initializes a new instance of <see cref="MersenneTwister"/>
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| 61 | /// with the given seed <paramref name="s"/>.
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| 62 | /// </summary>
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| 63 | /// <param name="s">The seed with which to initialize the random number generator.</param>
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[2] | 64 | public MersenneTwister(uint s) {
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| 65 | seed(s);
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| 66 | init = true;
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| 67 | }
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[1153] | 68 | /// <summary>
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| 69 | /// Initializes a new instance of <see cref="MersenneTwister"/> with the given seed array.
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| 70 | /// </summary>
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| 71 | /// <param name="array">The seed array with which to initialize the random number generator.</param>
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[2] | 72 | public MersenneTwister(uint[] array) {
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| 73 | seed(array);
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| 74 | init = true;
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| 75 | }
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| 76 |
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[1153] | 77 | /// <summary>
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| 78 | /// Clones the current instance (deep clone).
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| 79 | /// </summary>
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| 80 | /// <param name="clonedObjects">Dictionary of all already cloned objects. (Needed to avoid cycles.)</param>
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| 81 | /// <returns>The cloned object as <see cref="MersenneTwister"/>.</returns>
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[2] | 82 | public override object Clone(IDictionary<Guid, object> clonedObjects) {
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| 83 | MersenneTwister clone = new MersenneTwister();
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| 84 | clonedObjects.Add(Guid, clone);
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| 85 | clone.state = (uint[])state.Clone();
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| 86 | clone.p = p;
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| 87 | clone.init = init;
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| 88 | return clone;
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| 89 | }
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| 90 |
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[1153] | 91 | /// <summary>
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| 92 | /// Resets the current random number generator.
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| 93 | /// </summary>
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[2] | 94 | public void Reset() {
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| 95 | lock (locker)
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| 96 | seed((uint)DateTime.Now.Ticks);
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| 97 | }
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[1153] | 98 | /// <summary>
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| 99 | /// Resets the current random number generator with the given seed <paramref name="s"/>.
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| 100 | /// </summary>
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| 101 | /// <param name="s">The seed with which to reset the current instance.</param>
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[2] | 102 | public void Reset(int s) {
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| 103 | lock (locker)
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| 104 | seed((uint)s);
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| 105 | }
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| 106 |
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[1153] | 107 | /// <summary>
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| 108 | /// Gets a new random number.
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| 109 | /// </summary>
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| 110 | /// <returns>A new int random number.</returns>
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[2] | 111 | public int Next() {
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| 112 | lock (locker) {
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| 113 | return (int)(rand_int32() >> 1);
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| 114 | }
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| 115 | }
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[1153] | 116 | /// <summary>
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| 117 | /// Gets a new random number being smaller than the given <paramref name="maxVal"/>.
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| 118 | /// </summary>
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| 119 | /// <exception cref="ArgumentException">Thrown when the given maximum value is
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| 120 | /// smaller or equal to zero.</exception>
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| 121 | /// <param name="maxVal">The maximum value of the generated random number.</param>
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| 122 | /// <returns>A new int random number.</returns>
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[2] | 123 | public int Next(int maxVal) {
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| 124 | lock (locker) {
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| 125 | if (maxVal <= 0)
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| 126 | throw new ArgumentException("The interval [0, " + maxVal + ") is empty");
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| 127 | int limit = (Int32.MaxValue / maxVal) * maxVal;
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| 128 | int value = Next();
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| 129 | while (value >= limit) value = Next();
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| 130 | return value % maxVal;
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| 131 | }
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| 132 | }
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[1153] | 133 | /// <summary>
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| 134 | /// Gets a new random number being in the given interval <paramref name="minVal"/> and
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| 135 | /// <paramref name="maxVal"/>.
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| 136 | /// </summary>
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| 137 | /// <param name="minVal">The minimum value of the generated random number.</param>
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| 138 | /// <param name="maxVal">The maximum value of the generated random number.</param>
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| 139 | /// <returns>A new int random number.</returns>
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[2] | 140 | public int Next(int minVal, int maxVal) {
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| 141 | lock (locker) {
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| 142 | if (maxVal <= minVal)
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| 143 | throw new ArgumentException("The interval [" + minVal + ", " + maxVal + ") is empty");
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| 144 | return Next(maxVal - minVal) + minVal;
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| 145 | }
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| 146 | }
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[1153] | 147 | /// <summary>
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| 148 | /// Gets a new double random variable.
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| 149 | /// </summary>
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| 150 | /// <returns></returns>
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[2] | 151 | public double NextDouble() {
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| 152 | lock (locker) {
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| 153 | return rand_double53();
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| 154 | }
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| 155 | }
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| 156 |
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| 157 | #region Persistence Methods
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[1153] | 158 | /// <summary>
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| 159 | /// Saves the current instance as <see cref="XmlNode"/> in the specified <paramref name="document"/>.
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| 160 | /// </summary>
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| 161 | /// <remarks>The state(s) are saved as child node with the tag <c>State</c>, each state separaated with
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| 162 | /// a semicolon. Also the elements <c>p</c> and the <c>init</c> flag are saved as child nodes with
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| 163 | /// tag names <c>P</c> and <c>Init</c> respectively.</remarks>
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| 164 | /// <param name="name">The (tag)name of the <see cref="XmlNode"/>.</param>
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| 165 | /// <param name="document">The <see cref="XmlDocument"/> where the data is saved.</param>
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| 166 | /// <param name="persistedObjects">A dictionary of all already persisted objects. (Needed to avoid cycles.)</param>
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| 167 | /// <returns>The saved <see cref="XmlNode"/>.</returns>
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[2] | 168 | public override XmlNode GetXmlNode(string name, XmlDocument document, IDictionary<Guid,IStorable> persistedObjects) {
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| 169 | XmlNode node = base.GetXmlNode(name, document, persistedObjects);
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| 170 |
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| 171 | StringBuilder builder = new StringBuilder();
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| 172 | builder.Append(state[0]);
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| 173 | for (int i = 1; i < state.Length; i++) {
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| 174 | builder.Append(';');
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| 175 | builder.Append(state[i]);
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| 176 | }
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| 177 | XmlNode stateNode = document.CreateNode(XmlNodeType.Element, "State", null);
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| 178 | stateNode.InnerText = builder.ToString();
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| 179 | node.AppendChild(stateNode);
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| 180 |
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| 181 | XmlNode pNode = document.CreateNode(XmlNodeType.Element, "P", null);
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| 182 | pNode.InnerText = p.ToString();
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| 183 | node.AppendChild(pNode);
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| 184 |
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| 185 | XmlNode initNode = document.CreateNode(XmlNodeType.Element, "Init", null);
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| 186 | initNode.InnerText = init.ToString();
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| 187 | node.AppendChild(initNode);
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| 188 |
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| 189 | return node;
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| 190 | }
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[1153] | 191 | /// <summary>
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| 192 | /// Loads the persisted random number generator from the specified <paramref name="node"/>.
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| 193 | /// </summary>
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| 194 | /// <remarks>The elements of the current instance must be saved in a special way, see
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| 195 | /// <see cref="GetXmlNode"/>.</remarks>
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| 196 | /// <param name="node">The <see cref="XmlNode"/> where the instance is saved.</param>
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| 197 | /// <param name="restoredObjects">The dictionary of all already restored objects. (Needed to avoid cycles.)</param>
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[2] | 198 | public override void Populate(XmlNode node, IDictionary<Guid,IStorable> restoredObjects) {
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| 199 | base.Populate(node, restoredObjects);
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| 200 |
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| 201 | string stateString = node.SelectSingleNode("State").InnerText;
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| 202 | string[] tokens = stateString.Split(';');
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| 203 | for (int i = 0; i < tokens.Length; i++)
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| 204 | state[i] = uint.Parse(tokens[i]);
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| 205 | p = int.Parse(node.SelectSingleNode("P").InnerText);
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| 206 | init = bool.Parse(node.SelectSingleNode("Init").InnerText);
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| 207 | }
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| 208 | #endregion
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| 209 |
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| 210 | #region Seed Methods
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[1153] | 211 | /// <summary>
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| 212 | /// Initializes current instance with random seed.
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| 213 | /// </summary>
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| 214 | /// <param name="s">A starting seed.</param>
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[2] | 215 | public void seed(uint s) {
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| 216 | state[0] = s & 0xFFFFFFFFU;
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| 217 | for (int i = 1; i < n; ++i) {
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| 218 | state[i] = 1812433253U * (state[i - 1] ^ (state[i - 1] >> 30)) + (uint)i;
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| 219 | state[i] &= 0xFFFFFFFFU;
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| 220 | }
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| 221 | p = n;
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| 222 | }
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[1153] | 223 | /// <summary>
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| 224 | /// Initializes current instance with random seed.
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| 225 | /// </summary>
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| 226 | /// <param name="array">A starting seed array.</param>
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[2] | 227 | public void seed(uint[] array) {
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| 228 | seed(19650218U);
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| 229 | int i = 1, j = 0;
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| 230 | for (int k = ((n > array.Length) ? n : array.Length); k > 0; --k) {
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| 231 | state[i] = (state[i] ^ ((state[i - 1] ^ (state[i - 1] >> 30)) * 1664525U))
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| 232 | + array[j] + (uint)j;
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| 233 | state[i] &= 0xFFFFFFFFU;
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| 234 | ++j;
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| 235 | j %= array.Length;
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| 236 | if ((++i) == n) { state[0] = state[n - 1]; i = 1; }
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| 237 | }
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| 238 | for (int k = n - 1; k > 0; --k) {
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| 239 | state[i] = (state[i] ^ ((state[i - 1] ^ (state[i - 1] >> 30)) * 1566083941U)) - (uint)i;
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| 240 | state[i] &= 0xFFFFFFFFU;
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| 241 | if ((++i) == n) { state[0] = state[n - 1]; i = 1; }
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| 242 | }
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| 243 | state[0] = 0x80000000U;
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| 244 | p = n;
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| 245 | }
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| 246 | #endregion
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| 247 |
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| 248 | #region Random Number Generation Methods
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| 249 | private uint rand_int32() {
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| 250 | if (p == n) gen_state();
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| 251 | uint x = state[p++];
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| 252 | x ^= (x >> 11);
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| 253 | x ^= (x << 7) & 0x9D2C5680U;
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| 254 | x ^= (x << 15) & 0xEFC60000U;
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| 255 | return x ^ (x >> 18);
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| 256 | }
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| 257 | private double rand_double() { // interval [0, 1)
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| 258 | return ((double)rand_int32()) * (1.0 / 4294967296.0);
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| 259 | }
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| 260 | private double rand_double_closed() { // interval [0, 1]
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| 261 | return ((double)rand_int32()) * (1.0 / 4294967295.0);
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| 262 | }
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| 263 | private double rand_double_open() { // interval (0, 1)
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| 264 | return (((double)rand_int32()) + 0.5) * (1.0 / 4294967296.0);
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| 265 | }
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| 266 | private double rand_double53() { // 53 bit resolution, interval [0, 1)
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| 267 | return (((double)(rand_int32() >> 5)) * 67108864.0 +
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| 268 | ((double)(rand_int32() >> 6))) * (1.0 / 9007199254740992.0);
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| 269 | }
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| 270 | #endregion
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| 271 |
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| 272 | #region Private Helper Methods
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| 273 | private uint twiddle(uint u, uint v) {
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| 274 | return (((u & 0x80000000U) | (v & 0x7FFFFFFFU)) >> 1)
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| 275 | ^ (((v & 1U) != 0) ? 0x9908B0DFU : 0x0U);
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| 276 | }
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| 277 | private void gen_state() {
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| 278 | for (int i = 0; i < (n - m); ++i)
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| 279 | state[i] = state[i + m] ^ twiddle(state[i], state[i + 1]);
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| 280 | for (int i = n - m; i < (n - 1); ++i)
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| 281 | state[i] = state[i + m - n] ^ twiddle(state[i], state[i + 1]);
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| 282 | state[n - 1] = state[m - 1] ^ twiddle(state[n - 1], state[0]);
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| 283 | p = 0; // reset position
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| 284 | }
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| 285 | #endregion
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| 286 | }
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| 287 | }
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