diff --git a/FastRng/Double/Distributions/BetaA2B2.cs b/FastRng/Double/Distributions/BetaA2B2.cs deleted file mode 100644 index b1d6c26..0000000 --- a/FastRng/Double/Distributions/BetaA2B2.cs +++ /dev/null @@ -1,19 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class BetaA2B2 : Distribution - { - private const double ALPHA = 2; - private const double BETA = 2; - private const double CONSTANT = 4; - - public BetaA2B2(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * Math.Pow(x, ALPHA - 1) * Math.Pow(1 - x, BETA - 1); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/BetaA2B5.cs b/FastRng/Double/Distributions/BetaA2B5.cs deleted file mode 100644 index e7d4677..0000000 --- a/FastRng/Double/Distributions/BetaA2B5.cs +++ /dev/null @@ -1,19 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class BetaA2B5 : Distribution - { - private const double ALPHA = 2; - private const double BETA = 5; - private const double CONSTANT = 12.2; - - public BetaA2B5(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * Math.Pow(x, ALPHA - 1) * Math.Pow(1 - x, BETA - 1); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/BetaA5B2.cs b/FastRng/Double/Distributions/BetaA5B2.cs deleted file mode 100644 index a7613e9..0000000 --- a/FastRng/Double/Distributions/BetaA5B2.cs +++ /dev/null @@ -1,19 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class BetaA5B2 : Distribution - { - private const double ALPHA = 5; - private const double BETA = 2; - private const double CONSTANT = 12.2; - - public BetaA5B2(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * Math.Pow(x, ALPHA - 1) * Math.Pow(1 - x, BETA - 1); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/CauchyLorentzX0.cs b/FastRng/Double/Distributions/CauchyLorentzX0.cs deleted file mode 100644 index c19851b..0000000 --- a/FastRng/Double/Distributions/CauchyLorentzX0.cs +++ /dev/null @@ -1,19 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class CauchyLorentzX0 : Distribution - { - private const double CONSTANT = 0.31; - private const double SCALE = 0.1; - private const double MEDIAN = 0.0; - - public CauchyLorentzX0(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * (1.0 / (Math.PI * SCALE)) * ((SCALE * SCALE) / (Math.Pow(x - MEDIAN, 2) + (SCALE * SCALE))); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/CauchyLorentzX1.cs b/FastRng/Double/Distributions/CauchyLorentzX1.cs deleted file mode 100644 index acb2151..0000000 --- a/FastRng/Double/Distributions/CauchyLorentzX1.cs +++ /dev/null @@ -1,19 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class CauchyLorentzX1 : Distribution - { - private const double CONSTANT = 0.31; - private const double SCALE = 0.1; - private const double MEDIAN = 1.0; - - public CauchyLorentzX1(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * (1.0 / (Math.PI * SCALE)) * ((SCALE * SCALE) / (Math.Pow(x - MEDIAN, 2) + (SCALE * SCALE))); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/ChiSquareK1.cs b/FastRng/Double/Distributions/ChiSquareK1.cs deleted file mode 100644 index 3290765..0000000 --- a/FastRng/Double/Distributions/ChiSquareK1.cs +++ /dev/null @@ -1,29 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class ChiSquareK1 : Distribution - { - private const double K = 1.0; - private const double K_HALF = K * 0.5d; - private const double K_HALF_MINUS_ONE = K_HALF - 1.0d; - private const double CONSTANT = 0.252; - - private static readonly double DIVISOR; - - static ChiSquareK1() - { - var twoToTheKHalf = Math.Pow(2, K_HALF); - var gammaKHalf = MathTools.Gamma(K_HALF); - DIVISOR = twoToTheKHalf * gammaKHalf; - } - - public ChiSquareK1(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * ((Math.Pow(x, K_HALF_MINUS_ONE) * Math.Exp(-x * 0.5d)) / DIVISOR); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/ChiSquareK10.cs b/FastRng/Double/Distributions/ChiSquareK10.cs deleted file mode 100644 index d13cf44..0000000 --- a/FastRng/Double/Distributions/ChiSquareK10.cs +++ /dev/null @@ -1,29 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class ChiSquareK10 : Distribution - { - private const double K = 10.0; - private const double K_HALF = K * 0.5d; - private const double K_HALF_MINUS_ONE = K_HALF - 1.0d; - private const double CONSTANT = 0.252; - - private static readonly double DIVISOR; - - static ChiSquareK10() - { - var twoToTheKHalf = Math.Pow(2, K_HALF); - var gammaKHalf = MathTools.Gamma(K_HALF); - DIVISOR = twoToTheKHalf * gammaKHalf; - } - - public ChiSquareK10(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * ((Math.Pow(x, K_HALF_MINUS_ONE) * Math.Exp(-x * 0.5d)) / DIVISOR); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/ChiSquareK4.cs b/FastRng/Double/Distributions/ChiSquareK4.cs deleted file mode 100644 index 1f854b5..0000000 --- a/FastRng/Double/Distributions/ChiSquareK4.cs +++ /dev/null @@ -1,29 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class ChiSquareK4 : Distribution - { - private const double K = 4.0; - private const double K_HALF = K * 0.5d; - private const double K_HALF_MINUS_ONE = K_HALF - 1.0d; - private const double CONSTANT = 0.252; - - private static readonly double DIVISOR; - - static ChiSquareK4() - { - var twoToTheKHalf = Math.Pow(2, K_HALF); - var gammaKHalf = MathTools.Gamma(K_HALF); - DIVISOR = twoToTheKHalf * gammaKHalf; - } - - public ChiSquareK4(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * ((Math.Pow(x, K_HALF_MINUS_ONE) * Math.Exp(-x * 0.5d)) / DIVISOR); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/Distribution.cs b/FastRng/Double/Distributions/Distribution.cs deleted file mode 100644 index 8de07c5..0000000 --- a/FastRng/Double/Distributions/Distribution.cs +++ /dev/null @@ -1,75 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public abstract class Distribution : IDistribution - { - private readonly ShapeFitter fitter; - private readonly IRandom random; - - protected Distribution(IRandom rng) - { - if (rng == null) - throw new ArgumentNullException(nameof(rng), "An IRandom implementation is needed."); - - this.random = rng; - this.fitter = new ShapeFitter(this.ShapeFunction, this.random, 100); - } - - private protected abstract double ShapeFunction(double x); - - public async ValueTask GetDistributedValue(CancellationToken token = default) => await this.fitter.NextNumber(token); - - public async ValueTask NextNumber(uint rangeStart, uint rangeEnd, CancellationToken cancel = default) - { - if (rangeStart > rangeEnd) - { - var tmp = rangeStart; - rangeStart = rangeEnd; - rangeEnd = tmp; - } - - var range = rangeEnd - rangeStart; - var distributedValue = await this.GetDistributedValue(cancel); - return (uint) ((distributedValue * range) + rangeStart); - } - - public async ValueTask NextNumber(ulong rangeStart, ulong rangeEnd, CancellationToken cancel = default(CancellationToken)) - { - if (rangeStart > rangeEnd) - { - var tmp = rangeStart; - rangeStart = rangeEnd; - rangeEnd = tmp; - } - - var range = rangeEnd - rangeStart; - var distributedValue = await this.GetDistributedValue(cancel); - return (ulong) ((distributedValue * range) + rangeStart); - } - - public async ValueTask NextNumber(double rangeStart, double rangeEnd, CancellationToken cancel = default(CancellationToken)) - { - if (rangeStart > rangeEnd) - { - var tmp = rangeStart; - rangeStart = rangeEnd; - rangeEnd = tmp; - } - - var range = rangeEnd - rangeStart; - var distributedValue = await this.GetDistributedValue(cancel); - return (distributedValue * range) + rangeStart; - } - - public async ValueTask NextNumber(CancellationToken cancel = default) => await this.NextNumber(0.0, 1.0, cancel); - - public async ValueTask HasDecisionBeenMade(double above, double below = 1, CancellationToken cancel = default) - { - var number = await this.NextNumber(cancel); - return number > above && number < below; - } - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/ExponentialLa10.cs b/FastRng/Double/Distributions/ExponentialLa10.cs deleted file mode 100644 index cb1d736..0000000 --- a/FastRng/Double/Distributions/ExponentialLa10.cs +++ /dev/null @@ -1,18 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class ExponentialLa10 : Distribution - { - private const double LAMBDA = 10.0; - private const double CONSTANT = 0.1106; - - public ExponentialLa10(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * LAMBDA * Math.Exp(-LAMBDA * x); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/ExponentialLa5.cs b/FastRng/Double/Distributions/ExponentialLa5.cs deleted file mode 100644 index 29151de..0000000 --- a/FastRng/Double/Distributions/ExponentialLa5.cs +++ /dev/null @@ -1,18 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class ExponentialLa5 : Distribution - { - private const double LAMBDA = 5.0; - private const double CONSTANT = 0.2103; - - public ExponentialLa5(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * LAMBDA * Math.Exp(-LAMBDA * x); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/GammaA5B15.cs b/FastRng/Double/Distributions/GammaA5B15.cs deleted file mode 100644 index 3a48a2d..0000000 --- a/FastRng/Double/Distributions/GammaA5B15.cs +++ /dev/null @@ -1,28 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class GammaA5B15 : Distribution - { - private const double ALPHA = 5.0; - private const double BETA = 15.0; - private const double CONSTANT = 0.341344210715475; - - private static readonly double GAMMA_ALPHA; - private static readonly double BETA_TO_THE_ALPHA; - - static GammaA5B15() - { - GAMMA_ALPHA = MathTools.Gamma(ALPHA); - BETA_TO_THE_ALPHA = Math.Pow(BETA, ALPHA); - } - - public GammaA5B15(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * ((BETA_TO_THE_ALPHA * Math.Pow(x, ALPHA - 1.0d) * Math.Exp(-BETA * x)) / GAMMA_ALPHA); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/IDistribution.cs b/FastRng/Double/Distributions/IDistribution.cs deleted file mode 100644 index 7338e00..0000000 --- a/FastRng/Double/Distributions/IDistribution.cs +++ /dev/null @@ -1,20 +0,0 @@ -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public interface IDistribution - { - public ValueTask GetDistributedValue(CancellationToken token); - - public ValueTask NextNumber(uint rangeStart, uint rangeEnd, CancellationToken cancel = default); - - public ValueTask NextNumber(ulong rangeStart, ulong rangeEnd, CancellationToken cancel = default); - - public ValueTask NextNumber(double rangeStart, double rangeEnd, CancellationToken cancel = default); - - public ValueTask NextNumber(CancellationToken cancel = default); - - public ValueTask HasDecisionBeenMade(double above, double below = 1.0, CancellationToken cancel = default); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/InverseExponentialLa10.cs b/FastRng/Double/Distributions/InverseExponentialLa10.cs deleted file mode 100644 index f32e45a..0000000 --- a/FastRng/Double/Distributions/InverseExponentialLa10.cs +++ /dev/null @@ -1,18 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class InverseExponentialLa10 : Distribution - { - private const double LAMBDA = 10.0; - private const double CONSTANT = 4.539992976248453e-06; - - public InverseExponentialLa10(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * LAMBDA * Math.Exp(LAMBDA * x); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/InverseExponentialLa5.cs b/FastRng/Double/Distributions/InverseExponentialLa5.cs deleted file mode 100644 index 526c0e8..0000000 --- a/FastRng/Double/Distributions/InverseExponentialLa5.cs +++ /dev/null @@ -1,18 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class InverseExponentialLa5 : Distribution - { - private const double LAMBDA = 5.0; - private const double CONSTANT = 0.001347589399817; - - public InverseExponentialLa5(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * LAMBDA * Math.Exp(LAMBDA * x); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/InverseGammaA3B05.cs b/FastRng/Double/Distributions/InverseGammaA3B05.cs deleted file mode 100644 index d278d57..0000000 --- a/FastRng/Double/Distributions/InverseGammaA3B05.cs +++ /dev/null @@ -1,29 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class InverseGammaA3B05 : Distribution - { - private const double ALPHA = 3.0; - private const double BETA = 0.5; - private const double CONSTANT = 0.213922656884911; - - private static readonly double FACTOR_LEFT; - - static InverseGammaA3B05() - { - var gammaAlpha = MathTools.Gamma(ALPHA); - var betaToTheAlpha = Math.Pow(BETA, ALPHA); - - FACTOR_LEFT = CONSTANT * (betaToTheAlpha / gammaAlpha); - } - - public InverseGammaA3B05(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => FACTOR_LEFT * Math.Pow(x, -ALPHA - 1.0d) * Math.Exp(-BETA / x); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/LaplaceB01M0.cs b/FastRng/Double/Distributions/LaplaceB01M0.cs deleted file mode 100644 index 2c37119..0000000 --- a/FastRng/Double/Distributions/LaplaceB01M0.cs +++ /dev/null @@ -1,26 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class LaplaceB01M0 : Distribution - { - private const double B = 0.1; - private const double MU = 0.0; - private const double CONSTANT = 0.221034183615129; - - private static readonly double FACTOR_LEFT; - - static LaplaceB01M0() - { - FACTOR_LEFT = CONSTANT / (2.0d * B); - } - - public LaplaceB01M0(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => FACTOR_LEFT * Math.Exp(-Math.Abs(x - MU) / B); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/LaplaceB01M05.cs b/FastRng/Double/Distributions/LaplaceB01M05.cs deleted file mode 100644 index 4cb55d6..0000000 --- a/FastRng/Double/Distributions/LaplaceB01M05.cs +++ /dev/null @@ -1,26 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class LaplaceB01M05 : Distribution - { - private const double B = 0.1; - private const double MU = 0.5; - private const double CONSTANT = 0.2; - - private static readonly double FACTOR_LEFT; - - static LaplaceB01M05() - { - FACTOR_LEFT = CONSTANT / (2.0d * B); - } - - public LaplaceB01M05(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => FACTOR_LEFT * Math.Exp(-Math.Abs(x - MU) / B); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/LogNormalS1M0.cs b/FastRng/Double/Distributions/LogNormalS1M0.cs deleted file mode 100644 index e25dfe4..0000000 --- a/FastRng/Double/Distributions/LogNormalS1M0.cs +++ /dev/null @@ -1,26 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class LogNormalS1M0 : Distribution - { - private const double SIGMA = 1.0; - private const double MU = 0.0; - private const double CONSTANT = 1.51998658387455; - - private static readonly double FACTOR; - - static LogNormalS1M0() - { - FACTOR = SIGMA * Math.Sqrt(2 * Math.PI); - } - - public LogNormalS1M0(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => (CONSTANT / (x * FACTOR)) * Math.Exp( -(Math.Pow(Math.Log(x) - MU, 2) / (2 * Math.Pow(SIGMA, 2)))); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/NormalS02M05.cs b/FastRng/Double/Distributions/NormalS02M05.cs deleted file mode 100644 index 6e0386b..0000000 --- a/FastRng/Double/Distributions/NormalS02M05.cs +++ /dev/null @@ -1,20 +0,0 @@ -using System; -using System.Runtime.CompilerServices; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class NormalS02M05 : Distribution - { - private const double SQRT_2_PI = 2.506628275; - private const double STDDEV = 0.2; - private const double MEAN = 0.5; - - public NormalS02M05(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => 1.0 / (STDDEV * SQRT_2_PI) * Math.Exp(-0.5 * Math.Pow((x - MEAN) / STDDEV, 2.0)); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/StudentTNu1.cs b/FastRng/Double/Distributions/StudentTNu1.cs deleted file mode 100644 index e490618..0000000 --- a/FastRng/Double/Distributions/StudentTNu1.cs +++ /dev/null @@ -1,31 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class StudentTNu1 : Distribution - { - private const double NU = 1.0; - private const double START = 0.0; - private const double COMPRESS = 1.0; - private const double CONSTANT = 3.14190548592729; - - private static readonly double DIVIDEND; - private static readonly double DIVISOR; - private static readonly double EXPONENT; - - static StudentTNu1() - { - DIVIDEND = MathTools.Gamma((NU + 1.0d) * 0.5d); - DIVISOR = Math.Sqrt(NU * Math.PI) * MathTools.Gamma(NU * 0.5d); - EXPONENT = -((NU + 1.0d) * 0.5d); - } - - public StudentTNu1(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * Math.Pow((DIVIDEND / DIVISOR) * Math.Pow(1.0d + Math.Pow(START + x * COMPRESS, 2) / NU, EXPONENT), COMPRESS); - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/Uniform.cs b/FastRng/Double/Distributions/Uniform.cs deleted file mode 100644 index 31259f7..0000000 --- a/FastRng/Double/Distributions/Uniform.cs +++ /dev/null @@ -1,71 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class Uniform : IDistribution - { - private readonly IRandom rng; - - public Uniform(IRandom rng) - { - if (rng == null) - throw new ArgumentNullException(nameof(rng), "An IRandom implementation is needed."); - - this.rng = rng; - } - - public async ValueTask GetDistributedValue(CancellationToken token = default) => await this.rng.GetUniform(token); - - public async ValueTask NextNumber(uint rangeStart, uint rangeEnd, CancellationToken cancel = default) - { - if (rangeStart > rangeEnd) - { - var tmp = rangeStart; - rangeStart = rangeEnd; - rangeEnd = tmp; - } - - var range = rangeEnd - rangeStart; - var distributedValue = await this.GetDistributedValue(cancel); - return (uint) ((distributedValue * range) + rangeStart); - } - - public async ValueTask NextNumber(ulong rangeStart, ulong rangeEnd, CancellationToken cancel = default(CancellationToken)) - { - if (rangeStart > rangeEnd) - { - var tmp = rangeStart; - rangeStart = rangeEnd; - rangeEnd = tmp; - } - - var range = rangeEnd - rangeStart; - var distributedValue = await this.GetDistributedValue(cancel); - return (ulong) ((distributedValue * range) + rangeStart); - } - - public async ValueTask NextNumber(double rangeStart, double rangeEnd, CancellationToken cancel = default(CancellationToken)) - { - if (rangeStart > rangeEnd) - { - var tmp = rangeStart; - rangeStart = rangeEnd; - rangeEnd = tmp; - } - - var range = rangeEnd - rangeStart; - var distributedValue = await this.GetDistributedValue(cancel); - return (distributedValue * range) + rangeStart; - } - - public async ValueTask NextNumber(CancellationToken cancel = default) => await this.NextNumber(0.0, 1.0, cancel); - - public async ValueTask HasDecisionBeenMade(double above, double below = 1, CancellationToken cancel = default) - { - var number = await this.NextNumber(cancel); - return number > above && number < below; - } - } -} \ No newline at end of file diff --git a/FastRng/Double/Distributions/WeibullK05La1.cs b/FastRng/Double/Distributions/WeibullK05La1.cs deleted file mode 100644 index c68a706..0000000 --- a/FastRng/Double/Distributions/WeibullK05La1.cs +++ /dev/null @@ -1,19 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; - -namespace FastRng.Double.Distributions -{ - public sealed class WeibullK05La1 : Distribution - { - private const double K = 0.5; - private const double LAMBDA = 1.0; - private const double CONSTANT = 0.221034183615129; - - public WeibullK05La1(IRandom rng) : base(rng) - { - } - - private protected override double ShapeFunction(double x) => CONSTANT * ( (K / LAMBDA) * Math.Pow(x / LAMBDA, K - 1.0d) * Math.Exp(-Math.Pow(x/LAMBDA, K))); - } -} \ No newline at end of file diff --git a/FastRng/Double/IRandom.cs b/FastRng/Double/IRandom.cs deleted file mode 100644 index dd6f2d9..0000000 --- a/FastRng/Double/IRandom.cs +++ /dev/null @@ -1,24 +0,0 @@ -using System; -using System.Threading; -using System.Threading.Tasks; -using FastRng.Double.Distributions; - -namespace FastRng.Double -{ - /// - /// Interface for random number generators. - /// - public interface IRandom : IDisposable - { - /// - /// Returns a uniform distributed pseudo-random number from the interval (0,1]. - /// This means, the result 0 is impossible, whereas 1 is possible. - /// - /// - /// This method is thread-safe. You can consume numbers from the same generator - /// by using multiple threads at the same time. - /// - /// An optional cancellation token. - public ValueTask GetUniform(CancellationToken cancel = default); - } -} \ No newline at end of file diff --git a/FastRng/Double/MathTools.cs b/FastRng/Double/MathTools.cs deleted file mode 100644 index e833a7f..0000000 --- a/FastRng/Double/MathTools.cs +++ /dev/null @@ -1,83 +0,0 @@ -using System; - -namespace FastRng.Double -{ - /// - /// Provides some mathematical function, which are not available within in the .NET framework. - /// - public static class MathTools - { - private static readonly double SQRT_2 = Math.Sqrt(2.0); - private static readonly double SQRT_PI = Math.Sqrt(Math.PI); - - /// - /// The mathematical gamma function. - /// - /// The value for which you want calculate gamma. - public static double Gamma(double z) - { - // Source: http://rosettacode.org/wiki/Gamma_function#Go - - const double F1 = 6.5; - const double A1 = .99999999999980993; - const double A2 = 676.5203681218851; - const double A3 = 1259.1392167224028; - const double A4 = 771.32342877765313; - const double A5 = 176.61502916214059; - const double A6 = 12.507343278686905; - const double A7 = .13857109526572012; - const double A8 = 9.9843695780195716e-6; - const double A9 = 1.5056327351493116e-7; - - var t = z + F1; - var x = A1 + - A2 / z - - A3 / (z + 1) + - A4 / (z + 2) - - A5 / (z + 3) + - A6 / (z + 4) - - A7 / (z + 5) + - A8 / (z + 6) + - A9 / (z + 7); - - return MathTools.SQRT_2 * MathTools.SQRT_PI * Math.Pow(t, z - 0.5) * Math.Exp(-t) * x; - } - - /// - /// The mathematical factorial function for floating-point numbers. - /// - /// The value, for which you want to know the factorial. - public static double Factorial(double x) => MathTools.Gamma(x + 1.0); - - /// - /// The mathematical factorial function for integer numbers. - /// - /// The value, for which you want to know the factorial. - /// Throws, when x is greater than 20. Due to limitations of 64bit ulong type. - public static ulong Factorial(uint x) - { - if (x > 20) - throw new ArgumentOutOfRangeException(nameof(x), $"Cannot compute {x}!, since ulong.max is 18_446_744_073_709_551_615."); - - ulong accumulator = 1; - for (uint factor = 1; factor <= x; factor++) - accumulator *= factor; - - return accumulator; - } - - /// - /// The mathematical factorial function for integer numbers. - /// - /// The value, for which you want to know the factorial. - /// Throws, when x is greater than 20. Due to limitations - /// of 64bit ulong type. Throws also, when x is less than 0. - public static ulong Factorial(int x) - { - if(x < 0) - throw new ArgumentOutOfRangeException(nameof(x), "Given value must be greater as zero."); - - return MathTools.Factorial((uint) x); - } - } -} \ No newline at end of file diff --git a/FastRng/Double/MultiThreadedRng.cs b/FastRng/Double/MultiThreadedRng.cs deleted file mode 100644 index 6b35aca..0000000 --- a/FastRng/Double/MultiThreadedRng.cs +++ /dev/null @@ -1,358 +0,0 @@ -using System; -using System.Collections.Concurrent; -using System.Diagnostics.CodeAnalysis; -using System.Threading; -using System.Threading.Tasks; -using FastRng.Double.Distributions; - -namespace FastRng.Double -{ - /// - /// A fast multi-threaded pseudo random number generator. - /// - /// - /// Please note, that Math.NET's (https://www.mathdotnet.com/) random number generator is in some situations faster. - /// Unlike Math.NET, MultiThreadedRng is multi-threaded and async. Consumers can await the next number without - /// blocking resources. Additionally, consumers can use a token to cancel e.g. timeout an operation as well.

- /// - /// MultiThreadedRng using a shape fitter (a rejection sampler) to enforce arbitrary shapes of probabilities for - /// desired distributions. By using the shape fitter, it is even easy to define discontinuous, arbitrary functions - /// as shapes. Any consumer can define and use own distributions.

- /// - /// This class uses the George Marsaglia's MWC algorithm. The algorithm's implementation based loosely on John D. - /// Cook's (johndcook.com) implementation (https://www.codeproject.com/Articles/25172/Simple-Random-Number-Generation). - /// Thanks John for the inspiration.

- /// - /// Please notice: When using the debug environment, MultiThreadedRng uses a smaller buffer size. Please ensure, - /// that the production environment uses a release build, though. - /// - public sealed class MultiThreadedRng : IRandom, IDisposable - { - #if DEBUG - private const int BUFFER_SIZE = 10_000; - #else - private const int BUFFER_SIZE = 1_000_000; - #endif - - // The queue size means, how many buffer we store in a queue at the same time: - private const int QUEUE_SIZE = 2; - - // Gets used to stop the producer threads: - private readonly CancellationTokenSource producerTokenSource = new CancellationTokenSource(); - - // The time a thread waits e.g. to check if the queue needs a new buffer: - private readonly TimeSpan waiter = TimeSpan.FromMilliseconds(10); - - // The first queue, where to store buffers of random uint numbers: - private readonly ConcurrentQueue queueIntegers = new ConcurrentQueue(); - - // The second queue, where to store buffers of uniform random double numbers: - private readonly ConcurrentQueue queueDoubles = new ConcurrentQueue(); - - // The uint producer thread: - private Thread producerRandomUint; - - // The uniform double producer thread: - private Thread producerRandomUniformDistributedDouble; - - // Variable w and z for the uint generator. Both get used - // as seeding variable as well (cf. constructors) - private uint mW; - private uint mZ; - - // This is the current buffer for the consumer side i.e. the public interfaces: - private double[] currentBuffer = Array.Empty(); - - // The current pointer to the next current buffer's address to read from: - private int currentBufferPointer = BUFFER_SIZE; - - #region Constructors - - /// - /// Creates a multi-threaded random number generator. - /// - /// - /// This constructor uses the user's current local time - /// to derive necessary parameters for the generator. - /// Thus, the results are depending on the time, where - /// the generator was created. - /// - public MultiThreadedRng() - { - // - // Initialize the mW and mZ by using - // the system's time. - // - var now = DateTime.Now; - var ticks = now.Ticks; - this.mW = (uint) (ticks >> 16); - this.mZ = (uint) (ticks % 4_294_967_296); - this.StartProducerThreads(); - } - - /// - /// Creates a multi-threaded random number generator. - /// - /// - /// A multi-threaded random number generator created by this constructor is - /// deterministic. It's behaviour is not depending on the time of its creation.

- /// - /// Please note: Although the number generator and all distributions are deterministic, - /// the behavior of the consuming application might be non-deterministic. This is possible if - /// the application with multiple threads consumes the numbers. The scheduling of the threads - /// is up to the operating system and might not be predictable. - /// - /// A seed value to generate a deterministic generator. - public MultiThreadedRng(uint seedU) - { - this.mW = seedU; - this.mZ = 362_436_069; - this.StartProducerThreads(); - } - - /// - /// Creates a multi-threaded random number generator. - /// - /// - /// A multi-threaded random number generator created by this constructor is - /// deterministic. It's behaviour is not depending on the time of its creation.

- /// - /// Please note: Although the number generator and all distributions are deterministic, - /// the behavior of the consuming application might be non-deterministic. This is possible if - /// the application with multiple threads consumes the numbers. The scheduling of the threads - /// is up to the operating system and might not be predictable. - /// - /// The first seed value. - /// The second seed value. - public MultiThreadedRng(uint seedU, uint seedV) - { - this.mW = seedU; - this.mZ = seedV; - this.StartProducerThreads(); - } - - private void StartProducerThreads() - { - this.producerRandomUint = new Thread(() => this.RandomProducerUint(this.producerTokenSource.Token)) {IsBackground = true}; - this.producerRandomUint.Start(); - this.producerRandomUniformDistributedDouble = new Thread(() => this.RandomProducerUniformDistributedDouble(this.producerTokenSource.Token)) {IsBackground = true}; - this.producerRandomUniformDistributedDouble.Start(); - } - - #endregion - - #region Producers - - [ExcludeFromCodeCoverage] - private async void RandomProducerUint(CancellationToken cancellationToken) - { - try - { - while (!cancellationToken.IsCancellationRequested) - { - // A local next buffer, which gets filled next: - var nextBuffer = new uint[BUFFER_SIZE]; - - // Produce the necessary number of random uints: - for (var n = 0; n < nextBuffer.Length && !cancellationToken.IsCancellationRequested; n++) - { - this.mZ = 36_969 * (this.mZ & 65_535) + (this.mZ >> 16); - this.mW = 18_000 * (this.mW & 65_535) + (this.mW >> 16); - nextBuffer[n] = (this.mZ << 16) + this.mW; - } - - // Inside this loop, we try to enqueue the produced buffer: - while (!cancellationToken.IsCancellationRequested) - { - try - { - // Ensure, that we do not produce more buffers, as configured: - if (this.queueIntegers.Count < QUEUE_SIZE) - { - this.queueIntegers.Enqueue(nextBuffer); - break; - } - - // The queue was full. Wait a moment and try it again: - await Task.Delay(this.waiter, cancellationToken); - } - catch (TaskCanceledException) - { - // The producers should be stopped: - return; - } - } - } - } - catch (OperationCanceledException) - { - } - } - - [ExcludeFromCodeCoverage] - private async void RandomProducerUniformDistributedDouble(CancellationToken cancellationToken) - { - try - { - while (!cancellationToken.IsCancellationRequested) - { - // A local source buffer of uints: - uint[] bufferSource = null; - - // Try to get the next source buffer: - while (!this.queueIntegers.TryDequeue(out bufferSource) && !cancellationToken.IsCancellationRequested) - await Task.Delay(this.waiter, cancellationToken); - - // Case: The producers should be stopped: - if(bufferSource == null) - return; - - // A local buffer to fill with uniform doubles: - var nextBuffer = new double[BUFFER_SIZE]; - - // Generate the necessary number of doubles: - for (var n = 0; n < nextBuffer.Length && !cancellationToken.IsCancellationRequested; n++) - nextBuffer[n] = (bufferSource[n] + 1.0) * 2.328306435454494e-10; - - // Inside this loop, we try to enqueue the generated buffer: - while (!cancellationToken.IsCancellationRequested) - { - try - { - // Ensure, that the queue contains only the configured number of buffers: - if (this.queueDoubles.Count < QUEUE_SIZE) - { - this.queueDoubles.Enqueue(nextBuffer); - break; - } - - // The queue was full. Wait a moment and try it again: - await Task.Delay(this.waiter, cancellationToken); - } - catch (TaskCanceledException) - { - return; - } - } - } - } - catch (OperationCanceledException) - { - } - } - - #endregion - - #region Implementing interface - - /// - /// Returns a uniform distributed pseudo-random number from the interval (0,1]. - /// This means, the result 0 is impossible, whereas 1 is possible. - /// - /// - /// This method is thread-safe. You can consume numbers from the same generator - /// by using multiple threads at the same time. - /// - /// An optional cancellation token. - public async ValueTask GetUniform(CancellationToken cancel = default) - { - while (!cancel.IsCancellationRequested) - { - // Check, if we need a new buffer to read from: - if (this.currentBufferPointer >= BUFFER_SIZE) - { - // Create a local copy of the current buffer's pointer: - var currentBufferReference = this.currentBuffer; - - // Here, we store the next buffer until we implement it: - var nextBuffer = Array.Empty(); - - // Try to get the next buffer from the queue: - while (this.currentBufferPointer >= BUFFER_SIZE && currentBufferReference == this.currentBuffer && !this.queueDoubles.TryDequeue(out nextBuffer)) - { - // - // Case: There is no next buffer available. - // Must wait for producer(s) to provide next. - // - try - { - await Task.Delay(this.waiter, cancel); - } - catch (TaskCanceledException) - { - // - // Case: The consumer cancelled the request. - // - return double.NaN; - } - } - - // - // Note: In general, it does not matter if the following compare-exchange is successful. - // 1st case: It was successful -- everything is fine. But we are responsible to re-set the currentBufferPointer. - // 2nd case: It was not successful. This means, that another thread was successful, though. - // That case is fine as well. But we would loose one buffer of work. Thus, we - // check for this case and preserve the buffer full of work. - // - - // Try to implement the dequeued buffer without locking other threads: - if (Interlocked.CompareExchange(ref this.currentBuffer, nextBuffer, currentBufferReference) != currentBufferReference) - { - // - // Case: Another thread updated the buffer already. - // Thus, we enqueue our copy of the next buffer to preserve it. - // - this.queueDoubles.Enqueue(nextBuffer); - - // Next? We can go ahead and yield a random number... - } - else - { - // - // Case: We updated the buffer. - // - this.currentBufferPointer = 0; - - // Next? We can go ahead and yield a random number... - } - } - - // Made a local copy of the current pointer: - var myPointer = this.currentBufferPointer; - - // Increment the pointer for the next thread or call: - var nextPointer = myPointer + 1; - - // Try to update the pointer without locking other threads: - if (Interlocked.CompareExchange(ref this.currentBufferPointer, nextPointer, myPointer) == myPointer) - { - // - // Case: Success. We updated the pointer and, thus, can use the pointer to read a number. - // - return this.currentBuffer[myPointer]; - } - - // - // Case: Another thread updated the pointer already. Must restart the process - // to get a random number. - // - } - - // - // Case: The consumer cancelled the request. - // - return double.NaN; - } - - private void StopProducer() => this.producerTokenSource.Cancel(); - - /// - /// Disposes this generator. It is important to dispose a generator, - /// when it is no longer needed. Otherwise, the background threads - /// are still running. - /// - public void Dispose() => this.StopProducer(); - - #endregion - } -} \ No newline at end of file diff --git a/FastRng/Double/ShapeFitter.cs b/FastRng/Double/ShapeFitter.cs deleted file mode 100644 index 508b4ef..0000000 --- a/FastRng/Double/ShapeFitter.cs +++ /dev/null @@ -1,79 +0,0 @@ -using System; -using System.Runtime.CompilerServices; -using System.Threading; -using System.Threading.Tasks; -using FastRng.Double.Distributions; - -namespace FastRng.Double -{ - /// - /// ShapeFitter is a rejection sampler, cf. https://en.wikipedia.org/wiki/Rejection_sampling - /// - public sealed class ShapeFitter - { - private readonly double[] probabilities; - private readonly IRandom rng; - private readonly double max; - private readonly double sampleSize; - private readonly IDistribution uniform; - - /// - /// Creates a shape fitter instance. - /// - /// The function which describes the desired shape. - /// The random number generator instance to use. - /// The number of sampling steps to sample the given function. - public ShapeFitter(Func shapeFunction, IRandom rng, ushort sampleSize = 50) - { - this.rng = rng; - this.uniform = new Uniform(rng); - this.sampleSize = sampleSize; - this.probabilities = new double[sampleSize]; - - var sampleStepSize = 1.0d / sampleSize; - var nextStep = 0.0 + sampleStepSize; - var maxValue = 0.0d; - for (var n = 0; n < sampleSize; n++) - { - this.probabilities[n] = shapeFunction(nextStep); - if (this.probabilities[n] > maxValue) - maxValue = this.probabilities[n]; - - nextStep += sampleStepSize; - } - - this.max = maxValue; - } - - /// - /// Returns a random number regarding the given shape. - /// - /// An optional cancellation token. - /// The next value regarding the given shape. - public async ValueTask NextNumber(CancellationToken token = default) - { - while (!token.IsCancellationRequested) - { - var x = await this.rng.GetUniform(token); - if (double.IsNaN(x)) - return x; - - var nextBucket = (int)Math.Floor(x * this.sampleSize); - if (nextBucket >= this.probabilities.Length) - nextBucket = this.probabilities.Length - 1; - - var threshold = this.probabilities[nextBucket]; - var y = await this.uniform.NextNumber(0.0d, this.max, token); - if (double.IsNaN(y)) - return y; - - if(y > threshold) - continue; - - return x; - } - - return double.NaN; - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/DecisionTester.cs b/FastRngTests/Double/DecisionTester.cs deleted file mode 100644 index d4a4ef8..0000000 --- a/FastRngTests/Double/DecisionTester.cs +++ /dev/null @@ -1,62 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; -using Uniform = FastRng.Double.Distributions.Uniform; - -namespace FastRngTests.Double -{ - [ExcludeFromCodeCoverage] - public class DecisionTester - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task DecisionUniform01() - { - using var rng = new MultiThreadedRng(); - var dist = new Uniform(rng); - - var neededCoinTossesA = 0; - var neededCoinTossesB = 0; - var neededCoinTossesC = 0; - - for(var n = 0; n < 100; n++) while (!await dist.HasDecisionBeenMade(0.0f, 0.1f)) neededCoinTossesA++; - for(var n = 0; n < 100; n++) while (!await dist.HasDecisionBeenMade(0.5f, 0.6f)) neededCoinTossesB++; - for(var n = 0; n < 100; n++) while (!await dist.HasDecisionBeenMade(0.8f, 0.9f)) neededCoinTossesC++; - - var values = new[] {neededCoinTossesA, neededCoinTossesB, neededCoinTossesC}; - var max = values.Max(); - var min = values.Min(); - - TestContext.WriteLine($"Coin tosses: a={neededCoinTossesA}, b={neededCoinTossesB}, c={neededCoinTossesC}"); - Assert.That(max - min, Is.LessThanOrEqualTo(250)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task DecisionWeibull01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.WeibullK05La1(rng); - - var neededCoinTossesA = 0; - var neededCoinTossesB = 0; - var neededCoinTossesC = 0; - - for(var n = 0; n < 100; n++) while (!await dist.HasDecisionBeenMade(0.0f, 0.1f)) neededCoinTossesA++; - for(var n = 0; n < 100; n++) while (!await dist.HasDecisionBeenMade(0.5f, 0.6f)) neededCoinTossesB++; - for(var n = 0; n < 100; n++) while (!await dist.HasDecisionBeenMade(0.8f, 0.9f)) neededCoinTossesC++; - - var values = new[] {neededCoinTossesA, neededCoinTossesB, neededCoinTossesC}; - var max = values.Max(); - var min = values.Min(); - - TestContext.WriteLine($"Coin tosses: a={neededCoinTossesA}, b={neededCoinTossesB}, c={neededCoinTossesC}"); - Assert.That(max - min, Is.LessThanOrEqualTo(2_800)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/BetaA2B2.cs b/FastRngTests/Double/Distributions/BetaA2B2.cs deleted file mode 100644 index 5581d01..0000000 --- a/FastRngTests/Double/Distributions/BetaA2B2.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class BetaA2B2 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestBetaDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.BetaA2B2(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.0396).Within(0.3)); - Assert.That(result[1], Is.EqualTo(0.0784).Within(0.3)); - Assert.That(result[2], Is.EqualTo(0.1164).Within(0.3)); - - Assert.That(result[21], Is.EqualTo(0.6864).Within(0.3)); - Assert.That(result[22], Is.EqualTo(0.7084).Within(0.3)); - Assert.That(result[23], Is.EqualTo(0.7296).Within(0.3)); - - Assert.That(result[50], Is.EqualTo(0.9996).Within(0.3)); - - Assert.That(result[75], Is.EqualTo(0.7296).Within(0.3)); - Assert.That(result[85], Is.EqualTo(0.4816).Within(0.3)); - Assert.That(result[90], Is.EqualTo(0.3276).Within(0.3)); - - Assert.That(result[97], Is.EqualTo(0.0784).Within(0.3)); - Assert.That(result[98], Is.EqualTo(0.0396).Within(0.3)); - Assert.That(result[99], Is.EqualTo(0.0000).Within(0.3)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestBetaGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var samples = new double[1_000]; - var dist = new FastRng.Double.Distributions.BetaA2B2(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestBetaGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var samples = new double[1_000]; - var dist = new FastRng.Double.Distributions.BetaA2B2(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.BetaA2B2(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/BetaA2B5.cs b/FastRngTests/Double/Distributions/BetaA2B5.cs deleted file mode 100644 index 0a64b40..0000000 --- a/FastRngTests/Double/Distributions/BetaA2B5.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class BetaA2B5 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestBetaDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.BetaA2B5(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.11719271).Within(0.3)); - Assert.That(result[1], Is.EqualTo(0.22505783).Within(0.3)); - Assert.That(result[2], Is.EqualTo(0.32401717).Within(0.3)); - - Assert.That(result[21], Is.EqualTo(0.99348410).Within(0.3)); - Assert.That(result[22], Is.EqualTo(0.98639433).Within(0.3)); - Assert.That(result[23], Is.EqualTo(0.97684451).Within(0.3)); - - Assert.That(result[50], Is.EqualTo(0.35868592).Within(0.3)); - - Assert.That(result[75], Is.EqualTo(0.03076227).Within(0.03)); - Assert.That(result[85], Is.EqualTo(0.00403061).Within(0.03)); - Assert.That(result[90], Is.EqualTo(0.00109800).Within(0.01)); - - Assert.That(result[97], Is.EqualTo(0.00000191).Within(0.000003)); - Assert.That(result[98], Is.EqualTo(0.00000012).Within(0.0000003)); - Assert.That(result[99], Is.EqualTo(0.00000000).Within(0.0000003)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestBetaGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var samples = new double[1_000]; - var dist = new FastRng.Double.Distributions.BetaA2B5(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestBetaGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var samples = new double[1_000]; - var dist = new FastRng.Double.Distributions.BetaA2B5(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.BetaA2B5(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/BetaA5B2.cs b/FastRngTests/Double/Distributions/BetaA5B2.cs deleted file mode 100644 index fd31cac..0000000 --- a/FastRngTests/Double/Distributions/BetaA5B2.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class BetaA5B2 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestBetaDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.BetaA5B2(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.0000001).Within(0.0000003)); - Assert.That(result[1], Is.EqualTo(0.0000019).Within(0.00001)); - Assert.That(result[2], Is.EqualTo(0.0000096).Within(0.0004)); - - Assert.That(result[21], Is.EqualTo(0.0222918).Within(0.03)); - Assert.That(result[22], Is.EqualTo(0.0262883).Within(0.03)); - Assert.That(result[23], Is.EqualTo(0.0307623).Within(0.03)); - - Assert.That(result[50], Is.EqualTo(0.4044237).Within(0.2)); - - Assert.That(result[75], Is.EqualTo(0.9768445).Within(0.15)); - Assert.That(result[85], Is.EqualTo(0.9552714).Within(0.15)); - Assert.That(result[90], Is.EqualTo(0.8004420).Within(0.35)); - - Assert.That(result[97], Is.EqualTo(0.2250578).Within(0.03)); - Assert.That(result[98], Is.EqualTo(0.1171927).Within(0.03)); - Assert.That(result[99], Is.EqualTo(0.0000000).Within(0.00)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestBetaGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var samples = new double[1_000]; - var dist = new FastRng.Double.Distributions.BetaA5B2(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestBetaGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var samples = new double[1_000]; - var dist = new FastRng.Double.Distributions.BetaA5B2(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.BetaA5B2(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/CauchyLorentzX0.cs b/FastRngTests/Double/Distributions/CauchyLorentzX0.cs deleted file mode 100644 index d7460e7..0000000 --- a/FastRngTests/Double/Distributions/CauchyLorentzX0.cs +++ /dev/null @@ -1,87 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class CauchyLorentzX0 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestCauchyDistribution01() - { - // The properties of the cauchy distribution cannot be tested by mean, media or variance, - // cf. https://en.wikipedia.org/wiki/Cauchy_distribution#Explanation_of_undefined_moments - - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.CauchyLorentzX0(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.976990739772031).Within(0.06)); - Assert.That(result[1], Is.EqualTo(0.948808314586299).Within(0.06)); - Assert.That(result[2], Is.EqualTo(0.905284997403441).Within(0.06)); - - Assert.That(result[21], Is.EqualTo(0.168965864241396).Within(0.04)); - Assert.That(result[22], Is.EqualTo(0.156877686354491).Within(0.04)); - Assert.That(result[23], Is.EqualTo(0.145970509936354).Within(0.04)); - - Assert.That(result[50], Is.EqualTo(0.036533159835978).Within(0.01)); - - Assert.That(result[75], Is.EqualTo(0.016793067514802).Within(0.01)); - Assert.That(result[85], Is.EqualTo(0.01316382933791).Within(0.005)); - Assert.That(result[90], Is.EqualTo(0.011773781734516).Within(0.005)); - - Assert.That(result[97], Is.EqualTo(0.010168596941156).Within(0.005)); - Assert.That(result[98], Is.EqualTo(0.009966272570142).Within(0.005)); - Assert.That(result[99], Is.EqualTo(0.00976990739772).Within(0.005)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestCauchyGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.CauchyLorentzX0(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestCauchyGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.CauchyLorentzX0(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.CauchyLorentzX0(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/CauchyLorentzX1.cs b/FastRngTests/Double/Distributions/CauchyLorentzX1.cs deleted file mode 100644 index 4bd7974..0000000 --- a/FastRngTests/Double/Distributions/CauchyLorentzX1.cs +++ /dev/null @@ -1,87 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class CauchyLorentzX1 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestCauchyDistribution01() - { - // The properties of the cauchy distribution cannot be tested by mean, media or variance, - // cf. https://en.wikipedia.org/wiki/Cauchy_distribution#Explanation_of_undefined_moments - - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.CauchyLorentzX1(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.009966272570142).Within(0.003)); - Assert.That(result[1], Is.EqualTo(0.010168596941156).Within(0.004)); - Assert.That(result[2], Is.EqualTo(0.010377123221893).Within(0.005)); - - Assert.That(result[21], Is.EqualTo(0.015956672819692).Within(0.005)); - Assert.That(result[22], Is.EqualTo(0.016366904083094).Within(0.005)); - Assert.That(result[23], Is.EqualTo(0.016793067514802).Within(0.005)); - - Assert.That(result[50], Is.EqualTo(0.039454644029179).Within(0.015)); - - Assert.That(result[75], Is.EqualTo(0.145970509936354).Within(0.03)); - Assert.That(result[85], Is.EqualTo(0.333365083503296).Within(0.1)); - Assert.That(result[90], Is.EqualTo(0.545171628270584).Within(0.1)); - - Assert.That(result[97], Is.EqualTo(0.948808314586302).Within(0.06)); - Assert.That(result[98], Is.EqualTo(0.976990739772032).Within(0.03)); - Assert.That(result[99], Is.EqualTo(0.986760647169751).Within(0.02)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestCauchyGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.CauchyLorentzX0(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestCauchyGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.CauchyLorentzX0(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.CauchyLorentzX1(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/ChiSquareK1.cs b/FastRngTests/Double/Distributions/ChiSquareK1.cs deleted file mode 100644 index c741c56..0000000 --- a/FastRngTests/Double/Distributions/ChiSquareK1.cs +++ /dev/null @@ -1,87 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class ChiSquareK1 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestChiSquareDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ChiSquareK1(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - { - var value = await dist.NextNumber(); - fqa.CountThis(value); - } - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(1.00032041964207).Within(0.004)); - Assert.That(result[1], Is.EqualTo(0.70380551227703).Within(0.05)); - Assert.That(result[2], Is.EqualTo(0.571788691668126).Within(0.05)); - - Assert.That(result[21], Is.EqualTo(0.192011337664754).Within(0.07)); - Assert.That(result[22], Is.EqualTo(0.186854182385981).Within(0.07)); - Assert.That(result[23], Is.EqualTo(0.182007652359976).Within(0.07)); - - Assert.That(result[50], Is.EqualTo(0.109088865614875).Within(0.06)); - - Assert.That(result[75], Is.EqualTo(0.07886274821701).Within(0.02)); - Assert.That(result[85], Is.EqualTo(0.070520397849883).Within(0.02)); - Assert.That(result[90], Is.EqualTo(0.066863009640287).Within(0.02)); - - Assert.That(result[97], Is.EqualTo(0.062214737436948).Within(0.02)); - Assert.That(result[98], Is.EqualTo(0.061590997922187).Within(0.02)); - Assert.That(result[99], Is.EqualTo(0.060976622578824).Within(0.02)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestChiSquareGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ChiSquareK1(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestChiSquareGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ChiSquareK1(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.ChiSquareK1(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/ChiSquareK10.cs b/FastRngTests/Double/Distributions/ChiSquareK10.cs deleted file mode 100644 index b7a241c..0000000 --- a/FastRngTests/Double/Distributions/ChiSquareK10.cs +++ /dev/null @@ -1,87 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class ChiSquareK10 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestChiSquareDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ChiSquareK10(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - { - var value = await dist.NextNumber(); - fqa.CountThis(value); - } - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.0000000164021588).Within(0.0000002)); - Assert.That(result[1], Is.EqualTo(0.0000002611256437).Within(0.000003)); - Assert.That(result[2], Is.EqualTo(0.0000013153553250).Within(0.00002)); - - Assert.That(result[21], Is.EqualTo(0.003459320622874).Within(0.005)); - Assert.That(result[22], Is.EqualTo(0.004111875573379).Within(0.005)); - Assert.That(result[23], Is.EqualTo(0.004850674298859).Within(0.005)); - - Assert.That(result[50], Is.EqualTo(0.086418773275056).Within(0.05)); - - Assert.That(result[75], Is.EqualTo(0.376092741436046).Within(0.08)); - Assert.That(result[85], Is.EqualTo(0.586569751611096).Within(0.08)); - Assert.That(result[90], Is.EqualTo(0.717189736168766).Within(0.08)); - - Assert.That(result[97], Is.EqualTo(0.931477764640217).Within(0.08)); - Assert.That(result[98], Is.EqualTo(0.965244855212136).Within(0.08)); - Assert.That(result[99], Is.EqualTo(0.999827884370044).Within(0.08)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestChiSquareGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ChiSquareK10(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestChiSquareGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ChiSquareK10(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.ChiSquareK10(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/ChiSquareK4.cs b/FastRngTests/Double/Distributions/ChiSquareK4.cs deleted file mode 100644 index d35933d..0000000 --- a/FastRngTests/Double/Distributions/ChiSquareK4.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class ChiSquareK4 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestChiSquareDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ChiSquareK4(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.016417705906679).Within(0.02)); - Assert.That(result[1], Is.EqualTo(0.032671644513723).Within(0.02)); - Assert.That(result[2], Is.EqualTo(0.048763041010352).Within(0.02)); - - Assert.That(result[21], Is.EqualTo(0.32518779111264).Within(0.05)); - Assert.That(result[22], Is.EqualTo(0.338273451612642).Within(0.05)); - Assert.That(result[23], Is.EqualTo(0.351220492939994).Within(0.05)); - - Assert.That(result[50], Is.EqualTo(0.65209223303425).Within(0.08)); - - Assert.That(result[75], Is.EqualTo(0.857562207152294).Within(0.099)); - Assert.That(result[85], Is.EqualTo(0.923072405412387).Within(0.099)); - Assert.That(result[90], Is.EqualTo(0.952623623874265).Within(0.099)); - - Assert.That(result[97], Is.EqualTo(0.990616879396201).Within(0.099)); - Assert.That(result[98], Is.EqualTo(0.995734077068522).Within(0.099)); - Assert.That(result[99], Is.EqualTo(1.00077558852585).Within(0.1)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestChiSquareGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ChiSquareK4(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestChiSquareGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ChiSquareK4(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.ChiSquareK4(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/ExponentialLa10.cs b/FastRngTests/Double/Distributions/ExponentialLa10.cs deleted file mode 100644 index cf0e380..0000000 --- a/FastRngTests/Double/Distributions/ExponentialLa10.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class ExponentialLa10 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ExponentialLa10(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(1.00075018434777).Within(0.05)); - Assert.That(result[1], Is.EqualTo(0.905516212904248).Within(0.05)); - Assert.That(result[2], Is.EqualTo(0.81934495207398).Within(0.05)); - - Assert.That(result[21], Is.EqualTo(0.122548293148741).Within(0.12)); - Assert.That(result[22], Is.EqualTo(0.110886281157421).Within(0.12)); - Assert.That(result[23], Is.EqualTo(0.10033405633809).Within(0.12)); - - Assert.That(result[50], Is.EqualTo(0.00674300170146).Within(0.005)); - - Assert.That(result[75], Is.EqualTo(0.000553499285385).Within(0.001)); - Assert.That(result[85], Is.EqualTo(0.000203621007796).Within(0.001)); - Assert.That(result[90], Is.EqualTo(0.00012350238419).Within(0.001)); - - Assert.That(result[97], Is.EqualTo(0.0000613294689720).Within(0.0008)); - Assert.That(result[98], Is.EqualTo(0.0000554931983541).Within(0.0008)); - Assert.That(result[99], Is.EqualTo(0.0000502123223173).Within(0.0008)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ExponentialLa10(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ExponentialLa10(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.ExponentialLa10(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/ExponentialLa5.cs b/FastRngTests/Double/Distributions/ExponentialLa5.cs deleted file mode 100644 index 7be1596..0000000 --- a/FastRngTests/Double/Distributions/ExponentialLa5.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class ExponentialLa5 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ExponentialLa5(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(1.0002177398625).Within(0.05)); - Assert.That(result[1], Is.EqualTo(0.951436545064811).Within(0.05)); - Assert.That(result[2], Is.EqualTo(0.905034437210948).Within(0.05)); - - Assert.That(result[21], Is.EqualTo(0.35001394450853).Within(0.05)); - Assert.That(result[22], Is.EqualTo(0.332943563002074).Within(0.05)); - Assert.That(result[23], Is.EqualTo(0.31670571382568).Within(0.05)); - - Assert.That(result[50], Is.EqualTo(0.082102871800213).Within(0.01)); - - Assert.That(result[75], Is.EqualTo(0.023522866606758).Within(0.01)); - Assert.That(result[85], Is.EqualTo(0.014267339801329).Within(0.01)); - Assert.That(result[90], Is.EqualTo(0.011111415409621).Within(0.01)); - - Assert.That(result[97], Is.EqualTo(0.007830082099077).Within(0.008)); - Assert.That(result[98], Is.EqualTo(0.007448204488898).Within(0.008)); - Assert.That(result[99], Is.EqualTo(0.007084951269538).Within(0.008)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ExponentialLa5(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.ExponentialLa5(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.ExponentialLa5(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/GammaA5B15.cs b/FastRngTests/Double/Distributions/GammaA5B15.cs deleted file mode 100644 index dde9e88..0000000 --- a/FastRngTests/Double/Distributions/GammaA5B15.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class GammaA5B15 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestGammaDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.GammaA5B15(rng); - var fra = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fra.CountThis(await dist.NextNumber()); - - var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.0000929594237282).Within(0.0008)); - Assert.That(result[1], Is.EqualTo(0.0012801746797876).Within(0.002)); - Assert.That(result[2], Is.EqualTo(0.0055781488254349).Within(0.004)); - - Assert.That(result[21], Is.EqualTo(0.9331608887752720).Within(0.09)); - Assert.That(result[22], Is.EqualTo(0.9594734828891280).Within(0.09)); - Assert.That(result[23], Is.EqualTo(0.9790895765535350).Within(0.09)); - - Assert.That(result[50], Is.EqualTo(0.3478287795336570).Within(0.06)); - - Assert.That(result[75], Is.EqualTo(0.0403399049422936).Within(0.009)); - Assert.That(result[85], Is.EqualTo(0.0163628388658126).Within(0.009)); - Assert.That(result[90], Is.EqualTo(0.0097147611446660).Within(0.005)); - - Assert.That(result[97], Is.EqualTo(0.0041135143233153).Within(0.008)); - Assert.That(result[98], Is.EqualTo(0.0036872732029996).Within(0.008)); - Assert.That(result[99], Is.EqualTo(0.0033038503429554).Within(0.008)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestGammaGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.GammaA5B15(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestGammaGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.GammaA5B15(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.GammaA5B15(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/InverseExponentialLa10.cs b/FastRngTests/Double/Distributions/InverseExponentialLa10.cs deleted file mode 100644 index d3b3b47..0000000 --- a/FastRngTests/Double/Distributions/InverseExponentialLa10.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class InverseExponentialLa10 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.InverseExponentialLa10(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.0000501746820562).Within(0.0003)); - Assert.That(result[1], Is.EqualTo(0.0000554515994322).Within(0.0003)); - Assert.That(result[2], Is.EqualTo(0.0000612834950532).Within(0.0003)); - - Assert.That(result[21], Is.EqualTo(0.00040973497898).Within(0.00045)); - Assert.That(result[22], Is.EqualTo(0.000452827182887).Within(0.00050)); - Assert.That(result[23], Is.EqualTo(0.000500451433441).Within(0.00051)); - - Assert.That(result[50], Is.EqualTo(0.007446583070924).Within(0.003)); - - Assert.That(result[75], Is.EqualTo(0.090717953289412).Within(0.02)); - Assert.That(result[85], Is.EqualTo(0.246596963941606).Within(0.05)); - Assert.That(result[90], Is.EqualTo(0.406569659740598).Within(0.08)); - - Assert.That(result[97], Is.EqualTo(0.81873075307798).Within(0.08)); - Assert.That(result[98], Is.EqualTo(0.904837418035957).Within(0.08)); - Assert.That(result[99], Is.EqualTo(0.999999999999999).Within(0.08)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.InverseExponentialLa10(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.InverseExponentialLa10(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.InverseExponentialLa10(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/InverseExponentialLa5.cs b/FastRngTests/Double/Distributions/InverseExponentialLa5.cs deleted file mode 100644 index 51f74b1..0000000 --- a/FastRngTests/Double/Distributions/InverseExponentialLa5.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class InverseExponentialLa5 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.InverseExponentialLa5(rng); - var fqa = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fqa.CountThis(await dist.NextNumber()); - - var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.007083408929052).Within(0.008)); - Assert.That(result[1], Is.EqualTo(0.007446583070924).Within(0.008)); - Assert.That(result[2], Is.EqualTo(0.007828377549226).Within(0.008)); - - Assert.That(result[21], Is.EqualTo(0.020241911445804).Within(0.05)); - Assert.That(result[22], Is.EqualTo(0.021279736438377).Within(0.05)); - Assert.That(result[23], Is.EqualTo(0.022370771856166).Within(0.05)); - - Assert.That(result[50], Is.EqualTo(0.08629358649937).Within(0.02)); - - Assert.That(result[75], Is.EqualTo(0.301194211912202).Within(0.03)); - Assert.That(result[85], Is.EqualTo(0.496585303791409).Within(0.05)); - Assert.That(result[90], Is.EqualTo(0.637628151621772).Within(0.06)); - - Assert.That(result[97], Is.EqualTo(0.904837418035959).Within(0.08)); - Assert.That(result[98], Is.EqualTo(0.951229424500713).Within(0.08)); - Assert.That(result[99], Is.EqualTo(1).Within(0.08)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.InverseExponentialLa5(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestExponentialGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.InverseExponentialLa5(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.InverseExponentialLa5(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/InverseGammaA3B05.cs b/FastRngTests/Double/Distributions/InverseGammaA3B05.cs deleted file mode 100644 index c2299e6..0000000 --- a/FastRngTests/Double/Distributions/InverseGammaA3B05.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class InverseGammaA3B05 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestInverseGammaDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.InverseGammaA3B05(rng); - var fra = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fra.CountThis(await dist.NextNumber()); - - var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.0000000000000003).Within(0.0000001)); - Assert.That(result[1], Is.EqualTo(0.0000011605257228).Within(0.00001)); - Assert.That(result[2], Is.EqualTo(0.0009536970016103).Within(0.0015)); - - Assert.That(result[21], Is.EqualTo(0.5880485243048120).Within(0.05)); - Assert.That(result[22], Is.EqualTo(0.5433842148912880).Within(0.05)); - Assert.That(result[23], Is.EqualTo(0.5017780549216030).Within(0.05)); - - Assert.That(result[50], Is.EqualTo(0.0741442015957425).Within(0.009)); - - Assert.That(result[75], Is.EqualTo(0.0207568945092484).Within(0.006)); - Assert.That(result[85], Is.EqualTo(0.0136661506653688).Within(0.006)); - Assert.That(result[90], Is.EqualTo(0.0112550619601327).Within(0.006)); - - Assert.That(result[97], Is.EqualTo(0.0087026933539773).Within(0.005)); - Assert.That(result[98], Is.EqualTo(0.0083995375385004).Within(0.005)); - Assert.That(result[99], Is.EqualTo(0.0081094156379928).Within(0.005)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestInverseGammaGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.InverseGammaA3B05(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestInverseGammaGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.InverseGammaA3B05(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.InverseGammaA3B05(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/LaplaceB01M0.cs b/FastRngTests/Double/Distributions/LaplaceB01M0.cs deleted file mode 100644 index 5865e83..0000000 --- a/FastRngTests/Double/Distributions/LaplaceB01M0.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class LaplaceB01M0 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestLaplaceDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.LaplaceB01M0(rng); - var fra = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fra.CountThis(await dist.NextNumber()); - - var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(1.0000000000000000).Within(0.05)); - Assert.That(result[1], Is.EqualTo(0.9048374180359590).Within(0.05)); - Assert.That(result[2], Is.EqualTo(0.8187307530779810).Within(0.05)); - - Assert.That(result[21], Is.EqualTo(0.1224564282529820).Within(0.05)); - Assert.That(result[22], Is.EqualTo(0.1108031583623340).Within(0.05)); - Assert.That(result[23], Is.EqualTo(0.1002588437228040).Within(0.05)); - - Assert.That(result[50], Is.EqualTo(0.0067379469990855).Within(0.003)); - - Assert.That(result[75], Is.EqualTo(0.0005530843701478).Within(0.0015)); - Assert.That(result[85], Is.EqualTo(0.0002034683690106).Within(0.0015)); - Assert.That(result[90], Is.EqualTo(0.0001234098040867).Within(0.0015)); - - Assert.That(result[97], Is.EqualTo(0.0000612834950532).Within(0.0002)); - Assert.That(result[98], Is.EqualTo(0.0000554515994322).Within(0.0002)); - Assert.That(result[99], Is.EqualTo(0.0000501746820562).Within(0.0002)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestLaplaceGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.LaplaceB01M0(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestLaplaceGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.LaplaceB01M0(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.LaplaceB01M0(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/LaplaceB01M05.cs b/FastRngTests/Double/Distributions/LaplaceB01M05.cs deleted file mode 100644 index 731318b..0000000 --- a/FastRngTests/Double/Distributions/LaplaceB01M05.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class LaplaceB01M05 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestLaplaceDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.LaplaceB01M05(rng); - var fra = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fra.CountThis(await dist.NextNumber()); - - var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.0074465830709244).Within(0.004)); - Assert.That(result[1], Is.EqualTo(0.0082297470490200).Within(0.004)); - Assert.That(result[2], Is.EqualTo(0.0090952771016958).Within(0.01)); - - Assert.That(result[21], Is.EqualTo(0.0608100626252180).Within(0.02)); - Assert.That(result[22], Is.EqualTo(0.0672055127397498).Within(0.02)); - Assert.That(result[23], Is.EqualTo(0.0742735782143340).Within(0.02)); - - Assert.That(result[50], Is.EqualTo(1.0000000000000000).Within(0.2)); - - Assert.That(result[75], Is.EqualTo(0.0742735782143335).Within(0.01)); - Assert.That(result[85], Is.EqualTo(0.0273237224472924).Within(0.01)); - Assert.That(result[90], Is.EqualTo(0.0165726754017612).Within(0.01)); - - Assert.That(result[97], Is.EqualTo(0.0082297470490200).Within(0.004)); - Assert.That(result[98], Is.EqualTo(0.0074465830709243).Within(0.004)); - Assert.That(result[99], Is.EqualTo(0.0067379469990854).Within(0.004)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestLaplaceGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.LaplaceB01M05(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestLaplaceGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.LaplaceB01M05(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.LaplaceB01M05(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/LogNormalS1M0.cs b/FastRngTests/Double/Distributions/LogNormalS1M0.cs deleted file mode 100644 index bc8fdb9..0000000 --- a/FastRngTests/Double/Distributions/LogNormalS1M0.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class LogNormalS1M0 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestLogNormalDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.LogNormalS1M0(rng); - var fra = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fra.CountThis(await dist.NextNumber()); - - var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(0.001505531).Within(0.003)); - Assert.That(result[1], Is.EqualTo(0.014408709).Within(0.01)); - Assert.That(result[2], Is.EqualTo(0.043222256).Within(0.02)); - - Assert.That(result[21], Is.EqualTo(0.876212056).Within(0.15)); - Assert.That(result[22], Is.EqualTo(0.895582226).Within(0.15)); - Assert.That(result[23], Is.EqualTo(0.912837250).Within(0.15)); - - Assert.That(result[50], Is.EqualTo(0.948062005).Within(0.2)); - - Assert.That(result[75], Is.EqualTo(0.768584762).Within(0.089)); - Assert.That(result[85], Is.EqualTo(0.697303612).Within(0.089)); - Assert.That(result[90], Is.EqualTo(0.663570581).Within(0.089)); - - Assert.That(result[97], Is.EqualTo(0.618792767).Within(0.089)); - Assert.That(result[98], Is.EqualTo(0.612636410).Within(0.089)); - Assert.That(result[99], Is.EqualTo(0.606540679).Within(0.089)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestLogNormalGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.LogNormalS1M0(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestLogNormalGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.LogNormalS1M0(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.LogNormalS1M0(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/NormalS02M05.cs b/FastRngTests/Double/Distributions/NormalS02M05.cs deleted file mode 100644 index ae88040..0000000 --- a/FastRngTests/Double/Distributions/NormalS02M05.cs +++ /dev/null @@ -1,80 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class NormalS02M05 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestNormalDistribution01() - { - const double MEAN = 0.5; - const double STANDARD_DEVIATION = 0.2; - - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.NormalS02M05(rng); - var stats = new RunningStatistics(); - var fra = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - { - var nextNumber = await dist.NextNumber(); - stats.Push(nextNumber); - fra.CountThis(nextNumber); - } - - fra.NormalizeAndPlotEvents(TestContext.WriteLine); - - TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}"); - TestContext.WriteLine($"variance={STANDARD_DEVIATION * STANDARD_DEVIATION} vs {stats.Variance}"); - - Assert.That(stats.Mean, Is.EqualTo(MEAN).Within(0.01), "Mean is out of range"); - Assert.That(stats.Variance, Is.EqualTo(STANDARD_DEVIATION*STANDARD_DEVIATION).Within(0.01), "Variance is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestNormalGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var samples = new double[1_000]; - var dist = new FastRng.Double.Distributions.NormalS02M05(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestNormalGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var samples = new double[1_000]; - var dist = new FastRng.Double.Distributions.NormalS02M05(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.NormalS02M05(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/StudentTNu1.cs b/FastRngTests/Double/Distributions/StudentTNu1.cs deleted file mode 100644 index d61db7a..0000000 --- a/FastRngTests/Double/Distributions/StudentTNu1.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class StudentTNu1 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestStudentTDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.StudentTNu1(rng); - var fra = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fra.CountThis(await dist.NextNumber()); - - var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(1.000000000).Within(0.2)); - Assert.That(result[1], Is.EqualTo(0.999700120).Within(0.2)); - Assert.That(result[2], Is.EqualTo(0.999200719).Within(0.2)); - - Assert.That(result[21], Is.EqualTo(0.953929798).Within(0.2)); - Assert.That(result[22], Is.EqualTo(0.949852788).Within(0.2)); - Assert.That(result[23], Is.EqualTo(0.945631619).Within(0.2)); - - Assert.That(result[50], Is.EqualTo(0.793667169).Within(0.095)); - - Assert.That(result[75], Is.EqualTo(0.633937627).Within(0.09)); - Assert.That(result[85], Is.EqualTo(0.574902276).Within(0.09)); - Assert.That(result[90], Is.EqualTo(0.547070729).Within(0.09)); - - Assert.That(result[97], Is.EqualTo(0.510150990).Within(0.09)); - Assert.That(result[98], Is.EqualTo(0.505075501).Within(0.09)); - Assert.That(result[99], Is.EqualTo(0.500050000).Within(0.09)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestStudentTGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.StudentTNu1(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestStudentTGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.StudentTNu1(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.StudentTNu1(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/Uniform.cs b/FastRngTests/Double/Distributions/Uniform.cs deleted file mode 100644 index facd579..0000000 --- a/FastRngTests/Double/Distributions/Uniform.cs +++ /dev/null @@ -1,297 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class Uniform - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestUniformDistribution01() - { - const double A = 0.0; - const double B = 1.0; - const double MEAN = 0.5 * (A + B); - const double VARIANCE = (1.0 / 12.0) * (B - A) * (B - A); - - var stats = new RunningStatistics(); - var fra = new FrequencyAnalysis(); - using var rng = new MultiThreadedRng(); - - for (var n = 0; n < 100_000; n++) - { - var value = await rng.GetUniform(); - stats.Push(value); - fra.CountThis(value); - } - - fra.NormalizeAndPlotEvents(TestContext.WriteLine); - fra.PlotOccurence(TestContext.WriteLine); - TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}"); - TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}"); - - Assert.That(stats.Mean, Is.EqualTo(MEAN).Within(0.01), "Mean is out of range"); - Assert.That(stats.Variance, Is.EqualTo(VARIANCE).Within(0.001), "Variance is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task KolmogorovSmirnovTest() - { - // Kolmogorov-Smirnov test for distributions. - // See Knuth volume 2, page 48-51 (third edition). - // This test should *fail* on average one time in 1000 runs. - // That's life with random number generators: if the test passed all the time, - // the source wouldn't be random enough! If the test were to fail more frequently, - // the most likely explanation would be a bug in the code. - - const int NUM_ROUNDS = 10_000; - const double FAILURE_PROBABILITY = 0.001; // probability of test failing with normal distributed input - const double P_LOW = 0.25 * FAILURE_PROBABILITY; - const double P_HIGH = 1.0 - 0.25 * FAILURE_PROBABILITY; - - var samples = new double[NUM_ROUNDS]; - using var rng = new MultiThreadedRng(); - int n; - - for (n = 0; n != NUM_ROUNDS; ++n) - samples[n] = await rng.GetUniform(); - - Array.Sort(samples); - - var jMinus = 0; - var jPlus = 0; - var kPlus = -double.MaxValue; - var kMinus = -double.MaxValue; - - for (n = 0; n != NUM_ROUNDS; ++n) - { - var cdf = samples[n]; - var temp = (n + 1.0) / NUM_ROUNDS - cdf; - - if (kPlus < temp) - { - kPlus = temp; - jPlus = n; - } - - temp = cdf - (n + 0.0) / NUM_ROUNDS; - if (kMinus < temp) - { - kMinus = temp; - jMinus = n; - } - } - - var sqrtNumReps = Math.Sqrt(NUM_ROUNDS); - kPlus *= sqrtNumReps; - kMinus *= sqrtNumReps; - - // We divide the failure probability by four because we have four tests: - // left and right tests for K+ and K-. - var cutoffLow = Math.Sqrt(0.5 * Math.Log(1.0 / (1.0 - P_LOW))) - 1.0 / (6.0 * sqrtNumReps); - var cutoffHigh = Math.Sqrt(0.5 * Math.Log(1.0 / (1.0 - P_HIGH))) - 1.0 / (6.0 * sqrtNumReps); - - TestContext.WriteLine($"K+ = {kPlus} | K- = {kMinus}"); - TestContext.WriteLine($"K+ max at position {jPlus} = {samples[jPlus]}"); - TestContext.WriteLine($"K- max at position {jMinus} = {samples[jMinus]}"); - TestContext.WriteLine($"Acceptable interval: [{cutoffLow}, {cutoffHigh}]"); - - Assert.That(kPlus, Is.GreaterThanOrEqualTo(cutoffLow), "K+ is lower than low cutoff"); - Assert.That(kPlus, Is.LessThanOrEqualTo(cutoffHigh), "K+ is higher than high cutoff"); - Assert.That(kMinus, Is.GreaterThanOrEqualTo(cutoffLow), "K- is lower than low cutoff"); - Assert.That(kMinus, Is.LessThanOrEqualTo(cutoffHigh), "K- is lower than high cutoff"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestUniformGeneratorWithRange01() - { - var samples = new double[1_000]; - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestUniformGeneratorWithRange02() - { - var samples = new double[1_000]; - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestUniformGeneratorWithRange04() - { - using var rng = new MultiThreadedRng(); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await rng.GetUniform(); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange05Uint() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - var distribution = new uint[101]; - var runs = 1_000_000; - for (var n = 0; n < runs; n++) - distribution[await dist.NextNumber(0, 100)]++; - - for (var n = 0; n < distribution.Length - 1; n++) - Assert.That(distribution[n], Is.GreaterThan(0)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange05Ulong() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - var distribution = new uint[101]; - var runs = 1_000_000; - for (var n = 0; n < runs; n++) - distribution[await dist.NextNumber(0UL, 100)]++; - - for (var n = 0; n < distribution.Length - 1; n++) - Assert.That(distribution[n], Is.GreaterThan(0)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange05Float() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - var distribution = new uint[101]; - var runs = 1_000_000; - for (var n = 0; n < runs; n++) - distribution[(uint)Math.Floor(await dist.NextNumber(0.0, 100.0))]++; - - for (var n = 0; n < distribution.Length - 1; n++) - Assert.That(distribution[n], Is.GreaterThan(0)); - } - - [Test] - [Category(TestCategories.NORMAL)] - public async Task TestDistribution001Uint() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - var distribution = new uint[101]; - var runs = 1_000_000; - for (var n = 0; n < runs; n++) - distribution[await dist.NextNumber(0, 100)]++; - - Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 600)); - } - - [Test] - [Category(TestCategories.NORMAL)] - public async Task TestDistribution001Ulong() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - var distribution = new uint[101]; - var runs = 1_000_000; - for (var n = 0; n < runs; n++) - distribution[await dist.NextNumber(0UL, 100)]++; - - Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 600)); - } - - [Test] - [Category(TestCategories.NORMAL)] - public async Task TestDistribution001Float() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - var distribution = new uint[101]; - var runs = 1_000_000; - for (var n = 0; n < runs; n++) - distribution[(uint)Math.Floor(await dist.NextNumber(0.0, 100.0))]++; - - Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 600)); - } - - [Test] - [Category(TestCategories.LONG_RUNNING)] - public async Task TestDistribution002Uint() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - var distribution = new uint[101]; - var runs = 100_000_000; - for (var n = 0; n < runs; n++) - distribution[await dist.NextNumber(0, 100)]++; - - Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 6_000)); - } - - [Test] - [Category(TestCategories.LONG_RUNNING)] - public async Task TestDistribution002Ulong() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - var distribution = new uint[101]; - var runs = 100_000_000; - for (var n = 0; n < runs; n++) - distribution[await dist.NextNumber(0UL, 100)]++; - - Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 6_000)); - } - - [Test] - [Category(TestCategories.LONG_RUNNING)] - public async Task TestDistribution002Float() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.Uniform(rng); - var distribution = new uint[101]; - var runs = 100_000_000; - for (var n = 0; n < runs; n++) - distribution[(uint)Math.Floor(await dist.NextNumber(0.0, 100.0))]++; - - Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 6_000)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.Uniform(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/Distributions/WeibullK05La1.cs b/FastRngTests/Double/Distributions/WeibullK05La1.cs deleted file mode 100644 index 8e7ce9d..0000000 --- a/FastRngTests/Double/Distributions/WeibullK05La1.cs +++ /dev/null @@ -1,84 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Threading.Tasks; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double.Distributions -{ - [ExcludeFromCodeCoverage] - public class WeibullK05La1 - { - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestWeibullDistribution01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.WeibullK05La1(rng); - var fra = new FrequencyAnalysis(); - - for (var n = 0; n < 100_000; n++) - fra.CountThis(await dist.NextNumber()); - - var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine); - - Assert.That(result[0], Is.EqualTo(1.000000000).Within(0.2)); - Assert.That(result[1], Is.EqualTo(0.678415772).Within(0.09)); - Assert.That(result[2], Is.EqualTo(0.536595233).Within(0.09)); - - Assert.That(result[21], Is.EqualTo(0.147406264).Within(0.02)); - Assert.That(result[22], Is.EqualTo(0.142654414).Within(0.02)); - Assert.That(result[23], Is.EqualTo(0.138217760).Within(0.02)); - - Assert.That(result[50], Is.EqualTo(0.075769787).Within(0.095)); - - Assert.That(result[75], Is.EqualTo(0.053016799).Within(0.05)); - Assert.That(result[85], Is.EqualTo(0.047144614).Within(0.05)); - Assert.That(result[90], Is.EqualTo(0.044629109).Within(0.05)); - - Assert.That(result[97], Is.EqualTo(0.041484591).Within(0.05)); - Assert.That(result[98], Is.EqualTo(0.041067125).Within(0.05)); - Assert.That(result[99], Is.EqualTo(0.040656966).Within(0.05)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestWeibullGeneratorWithRange01() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.WeibullK05La1(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(-1.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestWeibullGeneratorWithRange02() - { - using var rng = new MultiThreadedRng(); - var dist = new FastRng.Double.Distributions.WeibullK05La1(rng); - var samples = new double[1_000]; - for (var n = 0; n < samples.Length; n++) - samples[n] = await dist.NextNumber(0.0, 1.0); - - Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); - Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void NoRandomNumberGenerator01() - { - Assert.Throws(() => new FastRng.Double.Distributions.WeibullK05La1(null)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/FrequencyAnalysis.cs b/FastRngTests/Double/FrequencyAnalysis.cs deleted file mode 100644 index 7f161dc..0000000 --- a/FastRngTests/Double/FrequencyAnalysis.cs +++ /dev/null @@ -1,85 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Linq; -using System.Runtime.CompilerServices; -using System.Text; - -namespace FastRngTests.Double -{ - [ExcludeFromCodeCoverage] - public sealed class FrequencyAnalysis - { - private readonly uint[] data; - - public FrequencyAnalysis(int samples = 100) - { - this.data = new uint[samples]; - } - - public void CountThis(double value) - { - var bucket = (int)Math.Floor(value * this.data.Length); - this.data[bucket]++; - } - - public double[] GetNormalizedEvents() - { - var max = (double) this.data.Max(); - var result = new double[this.data.Length]; - for (var n = 0; n < this.data.Length; n++) - { - result[n] = this.data[n] / max; - } - - return result; - } - - private double[] Normalize() - { - var max = (double)this.data.Max(); - var result = new double[this.data.Length]; - for (var n = 0; n < this.data.Length; n++) - result[n] = this.data[n] / max; - - return result; - } - - public double[] NormalizeAndPlotEvents(Action writer) - { - var result = this.Normalize(); - FrequencyAnalysis.Plot(result, writer, "Event Distribution"); - - return result; - } - - public void PlotOccurence(Action writer) - { - var data = this.data.Select(n => n > 0 ? 1.0 : 0.0).ToArray(); - FrequencyAnalysis.Plot(data, writer, "Occurrence Distribution"); - } - - private static void Plot(double[] data, Action writer, string name) - { - const int HEIGHT = 16; - - var values = new double[data.Length]; - for (var n = 0; n < data.Length; n++) - { - values[n] = data[n] * HEIGHT; - } - - var sb = new StringBuilder(); - for (var line = HEIGHT; line > 0; line--) - { - for (var column = 0; column < data.Length; column++) - sb.Append(values[column] >= line ? '█' : '░'); - - writer.Invoke(sb.ToString()); - sb.Clear(); - } - - writer.Invoke(name); - writer.Invoke(string.Empty); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/MathToolsTests.cs b/FastRngTests/Double/MathToolsTests.cs deleted file mode 100644 index 85f7bff..0000000 --- a/FastRngTests/Double/MathToolsTests.cs +++ /dev/null @@ -1,341 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using FastRng.Double; -using NUnit.Framework; - -namespace FastRngTests.Double -{ - [ExcludeFromCodeCoverage] - public class MathToolsTests - { - #region Gamma - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest01() - { - Assert.That(MathTools.Gamma(-0.5), Is.EqualTo(-3.544907701811087).Within(1e-6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest02() - { - Assert.That(MathTools.Gamma(0.1), Is.EqualTo(9.513507698668752).Within(1e-6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest03() - { - Assert.That(MathTools.Gamma(0.5), Is.EqualTo(1.772453850905517).Within(1e-6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest04() - { - Assert.That(MathTools.Gamma(1.0), Is.EqualTo(1.0).Within(1e-6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest05() - { - Assert.That(MathTools.Gamma(1.5), Is.EqualTo(0.8862269254527587).Within(1e-6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest06() - { - Assert.That(MathTools.Gamma(2.0), Is.EqualTo(1.0).Within(1e-6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest07() - { - Assert.That(MathTools.Gamma(3.0), Is.EqualTo(2.0).Within(1e-6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest08() - { - Assert.That(MathTools.Gamma(10.0), Is.EqualTo(362_880.0000000015).Within(1e-6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest09() - { - Assert.That(MathTools.Gamma(140.0), Is.EqualTo(9.6157231969402357e+238).Within(1e-6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void GammaTest10() - { - Assert.That(MathTools.Gamma(170.0), Is.EqualTo(double.PositiveInfinity)); - } - - #endregion - - #region Factorial (integer) - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger01() - { - Assert.That(MathTools.Factorial(0), Is.EqualTo(1)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger02() - { - Assert.That(MathTools.Factorial(1), Is.EqualTo(1)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger03() - { - Assert.That(MathTools.Factorial(2), Is.EqualTo(2)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger04() - { - Assert.That(MathTools.Factorial(3), Is.EqualTo(6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger05() - { - Assert.That(MathTools.Factorial(4), Is.EqualTo(24)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger06() - { - Assert.That(MathTools.Factorial(5), Is.EqualTo(120)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger07() - { - Assert.That(MathTools.Factorial(6), Is.EqualTo(720)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger08() - { - Assert.That(MathTools.Factorial(7), Is.EqualTo(5_040)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger09() - { - Assert.That(MathTools.Factorial(8), Is.EqualTo(40_320)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger10() - { - Assert.That(MathTools.Factorial(9), Is.EqualTo(362_880)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger11() - { - Assert.That(MathTools.Factorial(10), Is.EqualTo(3_628_800)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger12() - { - Assert.That(MathTools.Factorial(11), Is.EqualTo(39_916_800)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger13() - { - Assert.That(MathTools.Factorial(12), Is.EqualTo(479_001_600)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger14() - { - Assert.That(MathTools.Factorial(13), Is.EqualTo(6_227_020_800)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger15() - { - Assert.That(MathTools.Factorial(14), Is.EqualTo(87_178_291_200)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger16() - { - Assert.That(MathTools.Factorial(15), Is.EqualTo(1_307_674_368_000)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger17() - { - Assert.That(MathTools.Factorial(16), Is.EqualTo(20_922_789_888_000)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger18() - { - Assert.That(MathTools.Factorial(17), Is.EqualTo(355_687_428_096_000)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger19() - { - Assert.That(MathTools.Factorial(18), Is.EqualTo(6_402_373_705_728_000)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger20() - { - Assert.That(MathTools.Factorial(19), Is.EqualTo(121_645_100_408_832_000)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger21() - { - Assert.That(MathTools.Factorial(20), Is.EqualTo(2_432_902_008_176_640_000)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger22() - { - Assert.Throws(() => MathTools.Factorial(21)); - - // Note: 21! is not possible in C# until we got 128 bit integers, since: - // ulong.max == 18_446_744_073_709_551_615 < 51_090_942_171_709_400_000 - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger23() - { - Assert.Throws(() => MathTools.Factorial(45_646)); - - // Note: 45_646! is not possible in C# since: - // ulong.max == 18_446_744_073_709_551_615 - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger24() - { - Assert.Throws(() => MathTools.Factorial(-1)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialInteger25() - { - Assert.Throws(() => MathTools.Factorial(-6_565)); - } - - #endregion - - #region Factorial (floating point) - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialFloatingPoint01() - { - Assert.That(MathTools.Factorial(0.5), Is.EqualTo(0.886226925).Within(1e6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialFloatingPoint02() - { - Assert.That(MathTools.Factorial(1.5), Is.EqualTo(1.329340388).Within(1e6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialFloatingPoint03() - { - Assert.That(MathTools.Factorial(-1.5), Is.EqualTo(-1.329340388).Within(1e6)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public void FactorialFloatingPoint04() - { - Assert.That(MathTools.Factorial(7.5), Is.EqualTo(14_034.407293483).Within(1e6)); - } - - #endregion - } -} \ No newline at end of file diff --git a/FastRngTests/Double/MultiThreadedRngTests.cs b/FastRngTests/Double/MultiThreadedRngTests.cs deleted file mode 100644 index c7c7c7f..0000000 --- a/FastRngTests/Double/MultiThreadedRngTests.cs +++ /dev/null @@ -1,625 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; -using System.Threading; -using System.Threading.Tasks; -using FastRng.Double; -using FastRng.Double.Distributions; -using NUnit.Framework; - -namespace FastRngTests.Double -{ - [ExcludeFromCodeCoverage] - public class MultiThreadedRngTests - { - private readonly IRandom rng = new MultiThreadedRng(); - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange01Uint() - { - var dist = new Uniform(this.rng); - for (uint n = 0; n < 1_000_000; n++) - Assert.That(await dist.NextNumber(n, 100_000 + n), Is.InRange(n, 100_000 + n)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange01Ulong() - { - var dist = new Uniform(this.rng); - for (ulong n = 0; n < 1_000_000; n++) - Assert.That(await dist.NextNumber(n, 100_000 + n), Is.InRange(n, 100_000 + n)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange01Float() - { - var dist = new Uniform(this.rng); - for (var n = 0.0; n < 1e6; n++) - Assert.That(await dist.NextNumber(n, 100_000 + n), Is.InRange(n, 100_000 + n)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange02Uint() - { - var dist = new Uniform(this.rng); - Assert.That(await dist.NextNumber(5, 5), Is.EqualTo(5)); - Assert.That(await dist.NextNumber(0, 0), Is.EqualTo(0)); - Assert.That(await dist.NextNumber(3_000_000_000, 3_000_000_000), Is.EqualTo(3_000_000_000)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange02Ulong() - { - var dist = new Uniform(this.rng); - Assert.That(await dist.NextNumber(5UL, 5), Is.EqualTo(5)); - Assert.That(await dist.NextNumber(0UL, 0), Is.EqualTo(0)); - Assert.That(await dist.NextNumber(3_000_000_000UL, 3_000_000_000), Is.EqualTo(3_000_000_000)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange02Float() - { - var dist = new Uniform(this.rng); - Assert.That(await dist.NextNumber(5f, 5f), Is.EqualTo(5)); - Assert.That(await dist.NextNumber(0f, 0f), Is.EqualTo(0)); - Assert.That(await dist.NextNumber(3e9, 3e9), Is.EqualTo(3e9)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange03Uint() - { - var dist = new Uniform(this.rng); - Assert.That(await dist.NextNumber(5, 6), Is.InRange(5, 6)); - Assert.That(await dist.NextNumber(0, 1), Is.InRange(0, 1)); - Assert.That(await dist.NextNumber(3_000_000_000, 3_000_000_002), Is.InRange(3_000_000_000, 3_000_000_002)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange03Ulong() - { - var dist = new Uniform(this.rng); - Assert.That(await dist.NextNumber(5UL, 6), Is.InRange(5, 6)); - Assert.That(await dist.NextNumber(0UL, 1), Is.InRange(0, 1)); - Assert.That(await dist.NextNumber(3_000_000_000UL, 3_000_000_002), Is.InRange(3_000_000_000, 3_000_000_002)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange03Float() - { - var dist = new Uniform(this.rng); - Assert.That(await dist.NextNumber(5f, 6), Is.InRange(5, 6)); - Assert.That(await dist.NextNumber(0f, 1), Is.InRange(0, 1)); - Assert.That(await dist.NextNumber(3e9, 3e9+2), Is.InRange(3e9, 3e9+2)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange04Uint() - { - var distUniform = new Uniform(this.rng); - var distNormal = new NormalS02M05(this.rng); - - Assert.That(await distUniform.NextNumber(10, 1), Is.InRange(1, 10)); - Assert.That(await distNormal.NextNumber(10, 1), Is.InRange(1, 10)); - - Assert.That(await distUniform.NextNumber(20, 1), Is.InRange(1, 20)); - Assert.That(await distNormal.NextNumber(20, 1), Is.InRange(1, 20)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange04Ulong() - { - var distUniform = new Uniform(this.rng); - var distNormal = new NormalS02M05(this.rng); - - Assert.That(await distUniform.NextNumber(10UL, 1), Is.InRange(1, 10)); - Assert.That(await distNormal.NextNumber(10UL, 1), Is.InRange(1, 10)); - - Assert.That(await distUniform.NextNumber(20UL, 1), Is.InRange(1, 20)); - Assert.That(await distNormal.NextNumber(20UL, 1), Is.InRange(1, 20)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestRange04Float() - { - var distUniform = new Uniform(this.rng); - var distNormal = new NormalS02M05(this.rng); - - Assert.That(await distUniform.NextNumber(10.0, 1), Is.InRange(1, 10)); - Assert.That(await distNormal.NextNumber(10.0, 1), Is.InRange(1, 10)); - - Assert.That(await distUniform.NextNumber(20.0, 1), Is.InRange(1, 20)); - Assert.That(await distNormal.NextNumber(20.0, 1), Is.InRange(1, 20)); - } - - [Test] - [Category(TestCategories.LONG_RUNNING)] - public async Task TestRange05() - { - var distUniform = new Uniform(this.rng); - var distLorentz = new CauchyLorentzX1(this.rng); - - var rngContains0 = false; - var rngContains1 = false; - - var uniformContains0 = false; - var uniformContains1 = false; - - var lorentzContains0 = false; - var lorentzContains1 = false; - - for (int i = 0; i < 100_000_000; i++) - { - var rngValue = await rng.GetUniform(); - var uniform = await distUniform.NextNumber(); - var lorentz = await distLorentz.NextNumber(); - - switch (rngValue) - { - case 0.0: - rngContains0 = true; - break; - case 1.0: - rngContains1 = true; - break; - } - - switch (uniform) - { - case 0.0: - uniformContains0 = true; - break; - case 1.0: - uniformContains1 = true; - break; - } - - switch (lorentz) - { - case 0.0: - lorentzContains0 = true; - break; - case 1.0: - lorentzContains1 = true; - break; - } - } - - TestContext.WriteLine($"Uniform generator contained 0? {rngContains0} (expected=false)"); - TestContext.WriteLine($"Uniform generator contained 1? {rngContains1} (expected=true)"); - TestContext.WriteLine($"Uniform distribution contained 0? {uniformContains0} (expected=false)"); - TestContext.WriteLine($"Uniform distribution contained 1? {uniformContains1} (expected=true)"); - TestContext.WriteLine($"Lorentz distribution contained 0? {lorentzContains0} (expected=false)"); - TestContext.WriteLine($"Lorentz distribution contained 1? {lorentzContains1} (expected=true)"); - - Assert.That(rngContains0, Is.False, "Uniform generator contained 0"); - Assert.That(rngContains1, Is.True, "Uniform generator does not contained 1"); - - Assert.That(uniformContains0, Is.False, "Uniform distribution contained 0"); - Assert.That(uniformContains1, Is.True, "Uniform distribution does not contained 1"); - - Assert.That(lorentzContains0, Is.False, "Lorentz distribution contained 0"); - Assert.That(lorentzContains1, Is.True, "Lorentz distribution does not contained 1"); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestStoppingProducers01() - { - var rng2 = new MultiThreadedRng(); - rng2.Dispose(); - - var masterToken = new CancellationTokenSource(TimeSpan.FromSeconds(16)).Token; - var wasCanceled = false; - - while(true) - { - var tokenSource = new CancellationTokenSource(TimeSpan.FromSeconds(3)); - await rng2.GetUniform(tokenSource.Token); - if (tokenSource.IsCancellationRequested) - { - wasCanceled = true; - break; - } - - if (masterToken.IsCancellationRequested) - { - break; - } - } - - Assert.That(masterToken.IsCancellationRequested, Is.False, "Master token was used to stop test"); - Assert.That(wasCanceled, Is.True, "The consumer was not canceled"); - - var tokenSource2 = new CancellationTokenSource(TimeSpan.FromSeconds(3)); - await new NormalS02M05(rng2).NextNumber(tokenSource2.Token); - Assert.That(tokenSource2.IsCancellationRequested, Is.True); - - tokenSource2 = new CancellationTokenSource(TimeSpan.FromSeconds(3)); - await new NormalS02M05(rng2).NextNumber(-1d, 1d, tokenSource2.Token); - Assert.That(tokenSource2.IsCancellationRequested, Is.True); - - tokenSource2 = new CancellationTokenSource(TimeSpan.FromSeconds(3)); - await new NormalS02M05(rng2).NextNumber(0u, 6u, tokenSource2.Token); - Assert.That(tokenSource2.IsCancellationRequested, Is.True); - - tokenSource2 = new CancellationTokenSource(TimeSpan.FromSeconds(3)); - await new NormalS02M05(rng2).NextNumber(0ul, 6ul, tokenSource2.Token); - Assert.That(tokenSource2.IsCancellationRequested, Is.True); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task OneSeed01() - { - using var rng1 = new MultiThreadedRng(6); - using var rng2 = new MultiThreadedRng(6); - using var rng3 = new MultiThreadedRng(7); - - var rng1Sample = new double[10]; - for (var n = 0; n < rng1Sample.Length; n++) - rng1Sample[n] = await rng1.GetUniform(); - - var rng2Sample = new double[10]; - for (var n = 0; n < rng2Sample.Length; n++) - rng2Sample[n] = await rng2.GetUniform(); - - var rng3Sample = new double[10]; - for (var n = 0; n < rng3Sample.Length; n++) - rng3Sample[n] = await rng3.GetUniform(); - - Assert.That(rng1Sample, Is.EquivalentTo(rng2Sample)); - Assert.That(rng1Sample, Is.Not.EquivalentTo(rng3Sample)); - Assert.That(rng2Sample, Is.Not.EquivalentTo(rng3Sample)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TwoSeeds01() - { - using var rng1 = new MultiThreadedRng(3, 6); - using var rng2 = new MultiThreadedRng(3, 6); - using var rng3 = new MultiThreadedRng(3, 7); - using var rng4 = new MultiThreadedRng(6, 3); - - var rng1Sample = new double[10]; - for (var n = 0; n < rng1Sample.Length; n++) - rng1Sample[n] = await rng1.GetUniform(); - - var rng2Sample = new double[10]; - for (var n = 0; n < rng2Sample.Length; n++) - rng2Sample[n] = await rng2.GetUniform(); - - var rng3Sample = new double[10]; - for (var n = 0; n < rng3Sample.Length; n++) - rng3Sample[n] = await rng3.GetUniform(); - - var rng4Sample = new double[10]; - for (var n = 0; n < rng4Sample.Length; n++) - rng4Sample[n] = await rng4.GetUniform(); - - Assert.That(rng1Sample, Is.EquivalentTo(rng2Sample)); - Assert.That(rng1Sample, Is.Not.EquivalentTo(rng3Sample)); - Assert.That(rng1Sample, Is.Not.EquivalentTo(rng4Sample)); - Assert.That(rng2Sample, Is.Not.EquivalentTo(rng3Sample)); - Assert.That(rng2Sample, Is.Not.EquivalentTo(rng4Sample)); - Assert.That(rng3Sample, Is.Not.EquivalentTo(rng4Sample)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task NoSeed01() - { - using var rng1 = new MultiThreadedRng(); - using var rng2 = new MultiThreadedRng(); - using var rng3 = new MultiThreadedRng(); - - var rng1Sample = new double[10]; - for (var n = 0; n < rng1Sample.Length; n++) - rng1Sample[n] = await rng1.GetUniform(); - - var rng2Sample = new double[10]; - for (var n = 0; n < rng2Sample.Length; n++) - rng2Sample[n] = await rng2.GetUniform(); - - var rng3Sample = new double[10]; - for (var n = 0; n < rng3Sample.Length; n++) - rng3Sample[n] = await rng3.GetUniform(); - - Assert.That(rng1Sample, Is.Not.EquivalentTo(rng2Sample)); - Assert.That(rng1Sample, Is.Not.EquivalentTo(rng3Sample)); - Assert.That(rng2Sample, Is.Not.EquivalentTo(rng3Sample)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestCancellation01() - { - var tokenSource = new CancellationTokenSource(); - var token = tokenSource.Token; - tokenSource.Cancel(); - - using var rng2 = new MultiThreadedRng(); - var dist = new Uniform(rng2); - Assert.That(await dist.NextNumber(1, 100_000, token), Is.EqualTo(0)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestCancellation02() - { - var tokenSource = new CancellationTokenSource(); - var token = tokenSource.Token; - tokenSource.Cancel(); - - using var rng2 = new MultiThreadedRng(); - Assert.That(await rng2.GetUniform(token), Is.NaN); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestDeterministic01() - { - using var rng2 = new MultiThreadedRng(16); - - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.12712699).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.5764246).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.06033641).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.6822646).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.61201024).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.17746393).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.33456334).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.96167856).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.12944269).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.64489424).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.109665975).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.18188846).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.36097932).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.48192585).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.1617974).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.24791045).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.43913218).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.3343723).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.9428737).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.55195147).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.027495692).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.9621458).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.55794334).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.69002056).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.86020225).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.88220626).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.68816894).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.8583311).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.003915685).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.83575225).Within(1e-7f)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestDeterministic02() - { - using var rng2 = new MultiThreadedRng(16); - var dist = new Uniform(rng2); - - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(13)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(58)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(6)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(68)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(61)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(18)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(34)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(96)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(13)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(64)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(11)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(19)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(36)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(48)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(17)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(25)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(44)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(34)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(94)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(55)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(3)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(96)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(56)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(69)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(86)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(88)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(69)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(85)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(1)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(83)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestDeterministic03() - { - using var rng2 = new MultiThreadedRng(16); - var dist = new CauchyLorentzX0(rng2); - - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(11)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(17)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(1)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(2)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(18)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(14)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(65)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(11)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(22)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(3)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(37)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(9)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(12)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(4)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(10)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(8)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(22)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(2)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(3)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(20)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(4)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(1)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(84)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(9)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(19)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(2)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(1)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(10)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(4)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(56)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestDeterministic01b() - { - using var rng2 = new MultiThreadedRng(16, 362_436_069); - - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.12712699).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.5764246).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.06033641).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.6822646).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.61201024).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.17746393).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.33456334).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.96167856).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.12944269).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.64489424).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.109665975).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.18188846).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.36097932).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.48192585).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.1617974).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.24791045).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.43913218).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.3343723).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.9428737).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.55195147).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.027495692).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.9621458).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.55794334).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.69002056).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.86020225).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.88220626).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.68816894).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.8583311).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.003915685).Within(1e-7f)); - Assert.That(await rng2.GetUniform(), Is.EqualTo(0.83575225).Within(1e-7f)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestDeterministic02b() - { - using var rng2 = new MultiThreadedRng(16, 362_436_069); - var dist = new Uniform(rng2); - - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(13)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(58)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(6)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(68)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(61)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(18)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(34)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(96)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(13)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(64)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(11)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(19)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(36)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(48)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(17)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(25)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(44)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(34)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(94)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(55)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(3)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(96)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(56)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(69)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(86)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(88)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(69)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(85)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(1)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(83)); - } - - [Test] - [Category(TestCategories.COVER)] - [Category(TestCategories.NORMAL)] - public async Task TestDeterministic03b() - { - using var rng2 = new MultiThreadedRng(16, 362_436_069); - var dist = new CauchyLorentzX0(rng2); - - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(11)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(17)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(1)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(2)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(18)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(14)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(65)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(11)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(22)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(3)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(37)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(9)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(12)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(4)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(10)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(8)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(22)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(2)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(3)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(20)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(4)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(1)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(84)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(9)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(19)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(2)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(1)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(10)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(4)); - Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(56)); - } - } -} \ No newline at end of file diff --git a/FastRngTests/Double/PerformanceTests.cs b/FastRngTests/Double/PerformanceTests.cs deleted file mode 100644 index 899d1a3..0000000 --- a/FastRngTests/Double/PerformanceTests.cs +++ /dev/null @@ -1,137 +0,0 @@ -using System; -using System.Diagnostics; -using System.Diagnostics.CodeAnalysis; -using System.Threading; -using System.Threading.Tasks; -using FastRng.Double; -using FastRng.Double.Distributions; -using MathNet.Numerics.Distributions; -using MathNet.Numerics.Random; -using NUnit.Framework; - -namespace FastRngTests.Double -{ - [ExcludeFromCodeCoverage] - public class PerformanceTests - { - #region FastRng - - [Test] - [Category(TestCategories.PERFORMANCE)] - public async Task Generate1MUniform() - { - using var rng = new MultiThreadedRng(); - var data = new double[1_000_000]; - var stopwatch = new Stopwatch(); - Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator - - stopwatch.Start(); - for (uint n = 0; n < data.Length; n++) - data[n] = await rng.GetUniform(); - - stopwatch.Stop(); - - TestContext.WriteLine($"Generated 1M uniform distributed random numbers in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds."); - } - - [Test] - [Category(TestCategories.PERFORMANCE)] - public async Task Generate1MNormal() - { - using var rng = new MultiThreadedRng(); - var dist = new NormalS02M05(rng); - var data = new double[1_000_000]; - var stopwatch = new Stopwatch(); - Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator - - stopwatch.Start(); - for (uint n = 0; n < data.Length; n++) - data[n] = await dist.NextNumber(); - - stopwatch.Stop(); - - TestContext.WriteLine($"Generated 1M normal distributed random numbers in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds."); - } - - [Test] - [Category(TestCategories.PERFORMANCE)] - public async Task Generate1MChiSquare() - { - using var rng = new MultiThreadedRng(); - var dist = new ChiSquareK4(rng); - var data = new double[1_000_000]; - var stopwatch = new Stopwatch(); - Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator - - stopwatch.Start(); - for (uint n = 0; n < data.Length; n++) - data[n] = await dist.NextNumber(); - - stopwatch.Stop(); - - TestContext.WriteLine($"Generated 1M chi-square distributed random numbers in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds."); - } - - #endregion - - #region Math.NET - - [Test] - [Category(TestCategories.PERFORMANCE)] - public void ComparisonMathNet1MUniform() - { - var rng = new Xorshift(true); - var data = new float[1_000_000]; - var stopwatch = new Stopwatch(); - Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator - - stopwatch.Start(); - for (uint n = 0; n < data.Length; n++) - data[n] = (float) rng.NextDouble(); - - stopwatch.Stop(); - - TestContext.WriteLine($"Generated 1M uniform distributed random numbers by means of Math.NET in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds."); - } - - [Test] - [Category(TestCategories.PERFORMANCE)] - public void ComparisonMathNet1MNormal() - { - var rng = new Xorshift(true); - var dist = new Normal(stddev: 0.2f, mean: 0.5f, randomSource: rng); - var data = new float[1_000_000]; - var stopwatch = new Stopwatch(); - Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator - - stopwatch.Start(); - for (uint n = 0; n < data.Length; n++) - data[n] = (float) dist.Sample(); - - stopwatch.Stop(); - - TestContext.WriteLine($"Generated 1M normal distributed random numbers by means of Math.NET in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds."); - } - - [Test] - [Category(TestCategories.PERFORMANCE)] - public void ComparisonMathNet1MChiSquare() - { - var rng = new Xorshift(true); - var dist = new ChiSquared(4); - var data = new float[1_000_000]; - var stopwatch = new Stopwatch(); - Thread.Sleep(TimeSpan.FromSeconds(10)); // Warm-up phase of generator - - stopwatch.Start(); - for (uint n = 0; n < data.Length; n++) - data[n] = (float) dist.Sample(); - - stopwatch.Stop(); - - TestContext.WriteLine($"Generated 1M chi-squared distributed random numbers by means of Math.NET in {stopwatch.Elapsed.Minutes} minute(s), {stopwatch.Elapsed.Seconds} second(s), and {stopwatch.Elapsed.Milliseconds} milliseconds."); - } - - #endregion - } -} \ No newline at end of file diff --git a/FastRngTests/Double/RunningStatistics.cs b/FastRngTests/Double/RunningStatistics.cs deleted file mode 100644 index 4a6141d..0000000 --- a/FastRngTests/Double/RunningStatistics.cs +++ /dev/null @@ -1,49 +0,0 @@ -using System; -using System.Diagnostics.CodeAnalysis; - -namespace FastRngTests.Double -{ - [ExcludeFromCodeCoverage] - internal sealed class RunningStatistics - { - private double previousM; - private double previousS; - private double nextM; - private double nextS; - - public RunningStatistics() - { - } - - public int NumberRecords { get; private set; } = 0; - - public void Clear() => this.NumberRecords = 0; - - public void Push(double x) - { - this.NumberRecords++; - - // See Knuth TAOCP vol 2, 3rd edition, page 232 - if (this.NumberRecords == 1) - { - this.previousM = this.nextM = x; - this.previousS = 0.0; - } - else - { - this.nextM = this.previousM + (x - this.previousM) / this.NumberRecords; - this.nextS = this.previousS + (x - this.previousM) * (x - this.nextM); - - // set up for next iteration - this.previousM = this.nextM; - this.previousS = this.nextS; - } - } - - public double Mean => this.NumberRecords > 0 ? this.nextM : 0.0; - - public double Variance => this.NumberRecords > 1 ? this.nextS / (this.NumberRecords - 1) : 0.0; - - public double StandardDeviation => Math.Sqrt(this.Variance); - } -} \ No newline at end of file