| 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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