| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051 | using System;namespace NLangDetect.Core.Extensions{  public static class RandomExtensions  {    private const double _Epsilon = 2.22044604925031E-15;    private static readonly object _mutex = new object();    private static double _nextNextGaussian;    private static bool _hasNextNextGaussian;    /// <summary>    /// Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.    /// The general contract of nextGaussian is that one double value, chosen from (approximately) the usual normal distribution with mean 0.0 and standard deviation 1.0, is pseudorandomly generated and returned.    /// </summary>    /// <remarks>    /// Taken from: http://download.oracle.com/javase/6/docs/api/java/util/Random.html (nextGaussian())    /// </remarks>    public static double NextGaussian(this Random random)    {      lock (_mutex)      {        if (_hasNextNextGaussian)        {          _hasNextNextGaussian = false;          return _nextNextGaussian;        }        double v1, v2, s;        do        {          v1 = 2.0 * random.NextDouble() - 1.0; // between -1.0 and 1.0          v2 = 2.0 * random.NextDouble() - 1.0; // between -1.0 and 1.0          s = v1 * v1 + v2 * v2;        }        while (s >= 1.0 || Math.Abs(s - 0.0) < _Epsilon);        double multiplier = Math.Sqrt(-2.0 * Math.Log(s) / s);        _nextNextGaussian = v2 * multiplier;        _hasNextNextGaussian = true;        return v1 * multiplier;      }    }  }}
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