Applied .NET 7 syntax or feature changes

FastRng/Distributions/BetaA2B2.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class BetaA2B2 : Distribution
 {
-    public sealed class BetaA2B2 : Distribution
-    {
     private const float ALPHA = 2f;
     private const float BETA = 2f;
     private const float CONSTANT = 4f;
@@ -13,5 +13,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * MathF.Pow(x, ALPHA - 1f) * MathF.Pow(1f - x, BETA - 1f);
-    }
 }

FastRng/Distributions/BetaA2B5.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class BetaA2B5 : Distribution
 {
-    public sealed class BetaA2B5 : Distribution
-    {
     private const float ALPHA = 2f;
     private const float BETA = 5f;
     private const float CONSTANT = 12.2f;
@@ -13,5 +13,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * MathF.Pow(x, ALPHA - 1f) * MathF.Pow(1f - x, BETA - 1f);
-    }
 }

FastRng/Distributions/BetaA5B2.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class BetaA5B2 : Distribution
 {
-    public sealed class BetaA5B2 : Distribution
-    {
     private const float ALPHA = 5f;
     private const float BETA = 2f;
     private const float CONSTANT = 12.2f;
@@ -13,5 +13,4 @@ namespace FastRng.Distributions
     }
         
     private protected override float ShapeFunction(float x) => CONSTANT * MathF.Pow(x, ALPHA - 1f) * MathF.Pow(1f - x, BETA - 1f);
-    }
 }

FastRng/Distributions/CauchyLorentzX0.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class CauchyLorentzX0 : Distribution
 {
-    public sealed class CauchyLorentzX0 : Distribution
-    {
     private const float CONSTANT = 0.31f;
     private const float SCALE = 0.1f;
     private const float MEDIAN = 0.0f;
@@ -13,5 +13,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * (1.0f / (MathF.PI * SCALE)) * ((SCALE * SCALE) / (MathF.Pow(x - MEDIAN, 2f) + (SCALE * SCALE)));
-    }
 }

FastRng/Distributions/CauchyLorentzX1.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class CauchyLorentzX1 : Distribution
 {
-    public sealed class CauchyLorentzX1 : Distribution
-    {
     private const float CONSTANT = 0.31f;
     private const float SCALE = 0.1f;
     private const float MEDIAN = 1.0f;
@@ -13,5 +13,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * (1.0f / (MathF.PI * SCALE)) * ((SCALE * SCALE) / (MathF.Pow(x - MEDIAN, 2f) + (SCALE * SCALE)));
-    }
 }

FastRng/Distributions/ChiSquareK1.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class ChiSquareK1 : Distribution
 {
-    public sealed class ChiSquareK1 : Distribution
-    {
     private const float K = 1.0f;
     private const float K_HALF = K * 0.5f;
     private const float K_HALF_MINUS_ONE = K_HALF - 1.0f;
@@ -23,5 +23,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * ((MathF.Pow(x, K_HALF_MINUS_ONE) * MathF.Exp(-x * 0.5f)) / DIVISOR);
-    }
 }

FastRng/Distributions/ChiSquareK10.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class ChiSquareK10 : Distribution
 {
-    public sealed class ChiSquareK10 : Distribution
-    {
     private const float K = 10.0f;
     private const float K_HALF = K * 0.5f;
     private const float K_HALF_MINUS_ONE = K_HALF - 1.0f;
@@ -23,5 +23,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * ((MathF.Pow(x, K_HALF_MINUS_ONE) * MathF.Exp(-x * 0.5f)) / DIVISOR);
-    }
 }

FastRng/Distributions/ChiSquareK4.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class ChiSquareK4 : Distribution
 {
-    public sealed class ChiSquareK4 : Distribution
-    {
     private const float K = 4.0f;
     private const float K_HALF = K * 0.5f;
     private const float K_HALF_MINUS_ONE = K_HALF - 1.0f;
@@ -23,5 +23,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * ((MathF.Pow(x, K_HALF_MINUS_ONE) * MathF.Exp(-x * 0.5f)) / DIVISOR);
-    }
 }

FastRng/Distributions/Distribution.cs

@@ -2,20 +2,18 @@ using System;
 using System.Threading;
 using System.Threading.Tasks;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public abstract class Distribution : IDistribution
 {
-    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, rng, 100);
-            this.fitter = new ShapeFitter(this.ShapeFunction, this.random, 100);
     }
 
     private protected abstract float ShapeFunction(float x);
@@ -24,40 +22,31 @@ namespace FastRng.Distributions
         
     public async ValueTask<uint> NextNumber(uint rangeStart, uint rangeEnd, CancellationToken cancel = default)
     {
+        // Swap the values if the range start is greater than the range end:
         if (rangeStart > rangeEnd)
-            {
+            (rangeStart, rangeEnd) = (rangeEnd, rangeStart);
-                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<ulong> NextNumber(ulong rangeStart, ulong rangeEnd, CancellationToken cancel = default(CancellationToken))
+    public async ValueTask<ulong> NextNumber(ulong rangeStart, ulong rangeEnd, CancellationToken cancel = default)
     {
+        // Swap the values if the range start is greater than the range end:
         if (rangeStart > rangeEnd)
-            {
+            (rangeStart, rangeEnd) = (rangeEnd, rangeStart);
-                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<float> NextNumber(float rangeStart, float rangeEnd, CancellationToken cancel = default(CancellationToken))
+    public async ValueTask<float> NextNumber(float rangeStart, float rangeEnd, CancellationToken cancel = default)
     {
+        // Swap the values if the range start is greater than the range end:
         if (rangeStart > rangeEnd)
-            {
+            (rangeStart, rangeEnd) = (rangeEnd, rangeStart);
-                var tmp = rangeStart;
-                rangeStart = rangeEnd;
-                rangeEnd = tmp;
-            }
 
         var range = rangeEnd - rangeStart;
         var distributedValue = await this.GetDistributedValue(cancel);
@@ -71,5 +60,4 @@ namespace FastRng.Distributions
         var number = await this.NextNumber(cancel);
         return number > above && number < below;
     }
-    }
 }

FastRng/Distributions/ExponentialLa10.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class ExponentialLa10 : Distribution
 {
-    public sealed class ExponentialLa10 : Distribution
-    {
     private const float LAMBDA = 10.0f;
     private const float CONSTANT = 0.1106f;
 
@@ -12,5 +12,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * LAMBDA * MathF.Exp(-LAMBDA * x);
-    }
 }

FastRng/Distributions/ExponentialLa5.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class ExponentialLa5 : Distribution
 {
-    public sealed class ExponentialLa5 : Distribution
-    {
     private const float LAMBDA = 5.0f;
     private const float CONSTANT = 0.2103f;
 
@@ -12,5 +12,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * LAMBDA * MathF.Exp(-LAMBDA * x);
-    }
 }

FastRng/Distributions/GammaA5B15.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class GammaA5B15 : Distribution
 {
-    public sealed class GammaA5B15 : Distribution
-    {
     private const float ALPHA = 5.0f;
     private const float BETA = 15.0f;
     private const float CONSTANT = 0.341344210715475f;
@@ -22,5 +22,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * ((BETA_TO_THE_ALPHA * MathF.Pow(x, ALPHA - 1.0f) * MathF.Exp(-BETA * x)) / GAMMA_ALPHA);
-    }
 }

FastRng/Distributions/IDistribution.cs

@@ -1,10 +1,10 @@
 using System.Threading;
 using System.Threading.Tasks;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public interface IDistribution
 {
-    public interface IDistribution
-    {
     public ValueTask<float> GetDistributedValue(CancellationToken token);
         
     public ValueTask<uint> NextNumber(uint rangeStart, uint rangeEnd, CancellationToken cancel = default);
@@ -16,5 +16,4 @@ namespace FastRng.Distributions
     public ValueTask<float> NextNumber(CancellationToken cancel = default);
         
     public ValueTask<bool> HasDecisionBeenMade(float above, float below = 1.0f, CancellationToken cancel = default);
-    }
 }

FastRng/Distributions/InverseExponentialLa10.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class InverseExponentialLa10 : Distribution
 {
-    public sealed class InverseExponentialLa10 : Distribution
-    {
     private const float LAMBDA = 10.0f;
     private const float CONSTANT = 4.539992976248453e-06f;
 
@@ -12,5 +12,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * LAMBDA * MathF.Exp(LAMBDA * x);
-    }
 }

FastRng/Distributions/InverseExponentialLa5.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class InverseExponentialLa5 : Distribution
 {
-    public sealed class InverseExponentialLa5 : Distribution
-    {
     private const float LAMBDA = 5.0f;
     private const float CONSTANT = 0.001347589399817f;
 
@@ -12,5 +12,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * LAMBDA * MathF.Exp(LAMBDA * x);
-    }
 }

FastRng/Distributions/InverseGammaA3B05.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class InverseGammaA3B05 : Distribution
 {
-    public sealed class InverseGammaA3B05 : Distribution
-    {
     private const float ALPHA = 3.0f;
     private const float BETA = 0.5f;
     private const float CONSTANT = 0.213922656884911f;
@@ -23,5 +23,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => FACTOR_LEFT * MathF.Pow(x, -ALPHA - 1.0f) * MathF.Exp(-BETA / x);
-    }
 }

FastRng/Distributions/LaplaceB01M0.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class LaplaceB01M0 : Distribution
 {
-    public sealed class LaplaceB01M0 : Distribution
-    {
     private const float B = 0.1f;
     private const float MU = 0.0f;
     private const float CONSTANT = 0.221034183615129f;
@@ -20,5 +20,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => FACTOR_LEFT * MathF.Exp(-MathF.Abs(x - MU) / B);
-    }
 }

FastRng/Distributions/LaplaceB01M05.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class LaplaceB01M05 : Distribution
 {
-    public sealed class LaplaceB01M05 : Distribution
-    {
     private const float B = 0.1f;
     private const float MU = 0.5f;
     private const float CONSTANT = 0.2f;
@@ -20,5 +20,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => FACTOR_LEFT * MathF.Exp(-MathF.Abs(x - MU) / B);
-    }
 }

FastRng/Distributions/LogNormalS1M0.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class LogNormalS1M0 : Distribution
 {
-    public sealed class LogNormalS1M0 : Distribution
-    {
     private const float SIGMA = 1.0f;
     private const float MU = 0.0f;
     private const float CONSTANT = 1.51998658387455f;
@@ -20,5 +20,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => (CONSTANT / (x * FACTOR)) * MathF.Exp( -(MathF.Pow(MathF.Log(x) - MU, 2f) / (2f * MathF.Pow(SIGMA, 2f))));
-    }
 }

FastRng/Distributions/NormalS02M05.cs

@@ -1,17 +1,16 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class NormalS02M05 : Distribution
 {
-    public sealed class NormalS02M05 : Distribution
-    {
     private const float SQRT_2_PI = 2.506628275f;
-        private const float STDDEV = 0.2f;
+    private const float STD_DEV = 0.2f;
     private const float MEAN = 0.5f;
 
     public NormalS02M05(IRandom rng) : base(rng)
     {
     }
 
-        private protected override float ShapeFunction(float x) => 1.0f / (STDDEV * SQRT_2_PI) * MathF.Exp(-0.5f * MathF.Pow((x - MEAN) / STDDEV, 2.0f));
+    private protected override float ShapeFunction(float x) => 1.0f / (STD_DEV * SQRT_2_PI) * MathF.Exp(-0.5f * MathF.Pow((x - MEAN) / STD_DEV, 2.0f));
-    }
 }

FastRng/Distributions/StudentTNu1.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class StudentTNu1 : Distribution
 {
-    public sealed class StudentTNu1 : Distribution
-    {
     private const float NU = 1.0f;
     private const float START = 0.0f;
     private const float COMPRESS = 1.0f;
@@ -25,5 +25,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * MathF.Pow((DIVIDEND / DIVISOR) * MathF.Pow(1.0f + MathF.Pow(START + x * COMPRESS, 2f) / NU, EXPONENT), COMPRESS);
-    }
 }

FastRng/Distributions/Uniform.cs

@@ -2,58 +2,46 @@ using System;
 using System.Threading;
 using System.Threading.Tasks;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class Uniform : IDistribution
 {
-    public sealed class Uniform : IDistribution
-    {
     private readonly IRandom rng;
         
     public Uniform(IRandom rng)
     {
-            if (rng == null)
+        this.rng = rng ?? throw new ArgumentNullException(nameof(rng), "An IRandom implementation is needed.");
-                throw new ArgumentNullException(nameof(rng), "An IRandom implementation is needed.");
-            
-            this.rng = rng;
     }
 
     public async ValueTask<float> GetDistributedValue(CancellationToken token = default) => await this.rng.GetUniform(token);
         
     public async ValueTask<uint> NextNumber(uint rangeStart, uint rangeEnd, CancellationToken cancel = default)
     {
+        // Swap the values if the range start is greater than the range end:
         if (rangeStart > rangeEnd)
-            {
+            (rangeStart, rangeEnd) = (rangeEnd, rangeStart);
-                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<ulong> NextNumber(ulong rangeStart, ulong rangeEnd, CancellationToken cancel = default(CancellationToken))
+    public async ValueTask<ulong> NextNumber(ulong rangeStart, ulong rangeEnd, CancellationToken cancel = default)
     {
+        // Swap the values if the range start is greater than the range end:
         if (rangeStart > rangeEnd)
-            {
+            (rangeStart, rangeEnd) = (rangeEnd, rangeStart);
-                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<float> NextNumber(float rangeStart, float rangeEnd, CancellationToken cancel = default(CancellationToken))
+    public async ValueTask<float> NextNumber(float rangeStart, float rangeEnd, CancellationToken cancel = default)
     {
+        // Swap the values if the range start is greater than the range end:
         if (rangeStart > rangeEnd)
-            {
+            (rangeStart, rangeEnd) = (rangeEnd, rangeStart);
-                var tmp = rangeStart;
-                rangeStart = rangeEnd;
-                rangeEnd = tmp;
-            }
 
         var range = rangeEnd - rangeStart;
         var distributedValue = await this.GetDistributedValue(cancel);
@@ -67,5 +55,4 @@ namespace FastRng.Distributions
         var number = await this.NextNumber(cancel);
         return number > above && number < below;
     }
-    }
 }

FastRng/Distributions/WeibullK05La1.cs

@@ -1,9 +1,9 @@
 using System;
 
-namespace FastRng.Distributions
+namespace FastRng.Distributions;
+
+public sealed class WeibullK05La1 : Distribution
 {
-    public sealed class WeibullK05La1 : Distribution
-    {
     private const float K = 0.5f;
     private const float LAMBDA = 1.0f;
     private const float CONSTANT = 0.221034183615129f;
@@ -13,5 +13,4 @@ namespace FastRng.Distributions
     }
 
     private protected override float ShapeFunction(float x) => CONSTANT * ( (K / LAMBDA) * MathF.Pow(x / LAMBDA, K - 1.0f) * MathF.Exp(-MathF.Pow(x/LAMBDA, K)));
-    }
 }

FastRng/IRandom.cs

@@ -2,13 +2,13 @@ using System;
 using System.Threading;
 using System.Threading.Tasks;
 
-namespace FastRng
+namespace FastRng;
+
+/// <summary>
+/// Interface for random number generators.
+/// </summary>
+public interface IRandom : IDisposable
 {
-    /// <summary>
-    /// Interface for random number generators.
-    /// </summary>
-    public interface IRandom : IDisposable
-    {
     /// <summary>
     /// Returns a uniform distributed pseudo-random number from the interval (0,1].
     /// This means, the result 0 is impossible, whereas 1 is possible.
@@ -19,5 +19,4 @@ namespace FastRng
     /// </remarks>
     /// <param name="cancel">An optional cancellation token.</param>
     public ValueTask<float> GetUniform(CancellationToken cancel = default);
-    }
 }

FastRng/MathTools.cs

@@ -1,12 +1,12 @@
 using System;
 
-namespace FastRng
+namespace FastRng;
+
+/// <summary>
+/// Provides some mathematical function, which are not available within in the .NET framework.
+/// </summary>
+public static class MathTools
 {
-    /// <summary>
-    /// Provides some mathematical function, which are not available within in the .NET framework.
-    /// </summary>
-    public static class MathTools
-    {
     private static readonly float SQRT_2 = MathF.Sqrt(2.0f);
     private static readonly float SQRT_PI = MathF.Sqrt(MathF.PI);
         
@@ -40,14 +40,14 @@ namespace FastRng
                  A8 / (z + 6) +
                  A9 / (z + 7);
 
-            return MathTools.SQRT_2 * MathTools.SQRT_PI * MathF.Pow(t, z - 0.5f) * MathF.Exp(-t) * x;
+        return SQRT_2 * SQRT_PI * MathF.Pow(t, z - 0.5f) * MathF.Exp(-t) * x;
     }
         
     /// <summary>
     /// The mathematical factorial function for floating-point numbers.
     /// </summary>
     /// <param name="x">The value, for which you want to know the factorial.</param>
-        public static float Factorial(float x) => MathTools.Gamma(x + 1.0f);
+    public static float Factorial(float x) => Gamma(x + 1.0f);
 
     /// <summary>
     /// The mathematical factorial function for integer numbers.
@@ -77,7 +77,6 @@ namespace FastRng
         if(x < 0)
             throw new ArgumentOutOfRangeException(nameof(x), "Given value must be greater as zero.");
 
-            return MathTools.Factorial((uint) x);
+        return Factorial((uint) x);
-        }
     }
 }

FastRng/MultiThreadedRng.cs

@@ -4,49 +4,49 @@ using System.Diagnostics.CodeAnalysis;
 using System.Threading;
 using System.Threading.Tasks;
 
-namespace FastRng
+namespace FastRng;
+
+/// <summary>
+/// A fast multi-threaded pseudo random number generator.
+/// </summary>
+/// <remarks>
+/// 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.<br/><br/>
+///
+/// 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.<br/><br/>
+/// 
+/// 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.<br/><br/>
+///
+/// Please notice: When using the debug environment, MultiThreadedRng uses a smaller buffer size. Please ensure,
+/// that the production environment uses a release build, though.
+/// </remarks>
+public sealed class MultiThreadedRng : IRandom, IDisposable
 {
-    /// <summary>
+#if DEBUG
-    /// A fast multi-threaded pseudo random number generator.
-    /// </summary>
-    /// <remarks>
-    /// 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.<br/><br/>
-    ///
-    /// 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.<br/><br/>
-    /// 
-    /// 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.<br/><br/>
-    ///
-    /// Please notice: When using the debug environment, MultiThreadedRng uses a smaller buffer size. Please ensure,
-    /// that the production environment uses a release build, though.
-    /// </remarks>
-    public sealed class MultiThreadedRng : IRandom, IDisposable
-    {
-        #if DEBUG
     private const int BUFFER_SIZE = 10_000;
-        #else
+#else
     private const int BUFFER_SIZE = 1_000_000;
-        #endif
+#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();
+    private readonly CancellationTokenSource producerTokenSource = new();
         
     // 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<uint[]> queueIntegers = new ConcurrentQueue<uint[]>();
+    private readonly ConcurrentQueue<uint[]> queueIntegers = new();
         
     // The second queue, where to store buffers of uniform random floating point numbers:
-        private readonly ConcurrentQueue<float[]> queueFloats = new ConcurrentQueue<float[]>();
+    private readonly ConcurrentQueue<float[]> queueFloats = new();
 
     // The uint producer thread:
     private Thread producerRandomUint;
@@ -353,5 +353,4 @@ namespace FastRng
     public void Dispose() => this.StopProducer();
 
     #endregion
-    }
 }

FastRng/ShapeFitter.cs

@@ -3,13 +3,13 @@ using System.Threading;
 using System.Threading.Tasks;
 using FastRng.Distributions;
 
-namespace FastRng
+namespace FastRng;
+
+/// <summary>
+/// ShapeFitter is a rejection sampler, cf. https://en.wikipedia.org/wiki/Rejection_sampling
+/// </summary>
+public sealed class ShapeFitter
 {
-    /// <summary>
-    /// ShapeFitter is a rejection sampler, cf. https://en.wikipedia.org/wiki/Rejection_sampling
-    /// </summary>
-    public sealed class ShapeFitter
-    {
     private readonly float[] probabilities;
     private readonly IRandom rng;
     private readonly float max;
@@ -74,5 +74,4 @@ namespace FastRng
 
         return float.NaN;
     }
-    }
 }

FastRngTests/DecisionTester.cs

@@ -6,11 +6,11 @@ using NUnit.Framework;
 using Uniform = FastRng.Distributions.Uniform;
 using WeibullK05La1 = FastRng.Distributions.WeibullK05La1;
 
-namespace FastRngTests
+namespace FastRngTests;
+
+[ExcludeFromCodeCoverage]
+public class DecisionTester
 {
-    [ExcludeFromCodeCoverage]
-    public class DecisionTester
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -58,5 +58,4 @@ namespace FastRngTests
         TestContext.WriteLine($"Coin tosses: a={neededCoinTossesA}, b={neededCoinTossesB}, c={neededCoinTossesC}");
         Assert.That(max - min, Is.LessThanOrEqualTo(2_800));
     }
-    }
 }

FastRngTests/Distributions/BetaA2B2.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class BetaA2B2
 {
-    [ExcludeFromCodeCoverage]
-    public class BetaA2B2
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.BetaA2B2(null));
     }
-    }
 }

FastRngTests/Distributions/BetaA2B5.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class BetaA2B5
 {
-    [ExcludeFromCodeCoverage]
-    public class BetaA2B5
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.BetaA2B5(null));
     }
-    }
 }

FastRngTests/Distributions/BetaA5B2.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class BetaA5B2
 {
-    [ExcludeFromCodeCoverage]
-    public class BetaA5B2
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.BetaA5B2(null));
     }
-    }
 }

FastRngTests/Distributions/CauchyLorentzX0.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class CauchyLorentzX0
 {
-    [ExcludeFromCodeCoverage]
-    public class CauchyLorentzX0
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -83,5 +83,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.CauchyLorentzX0(null));
     }
-    }
 }

FastRngTests/Distributions/CauchyLorentzX1.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class CauchyLorentzX1
 {
-    [ExcludeFromCodeCoverage]
-    public class CauchyLorentzX1
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -83,5 +83,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.CauchyLorentzX1(null));
     }
-    }
 }

FastRngTests/Distributions/ChiSquareK1.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class ChiSquareK1
 {
-    [ExcludeFromCodeCoverage]
-    public class ChiSquareK1
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -83,5 +83,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.ChiSquareK1(null));
     }
-    }
 }

FastRngTests/Distributions/ChiSquareK10.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class ChiSquareK10
 {
-    [ExcludeFromCodeCoverage]
-    public class ChiSquareK10
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -83,5 +83,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.ChiSquareK10(null));
     }
-    }
 }

FastRngTests/Distributions/ChiSquareK4.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class ChiSquareK4
 {
-    [ExcludeFromCodeCoverage]
-    public class ChiSquareK4
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.ChiSquareK4(null));
     }
-    }
 }

FastRngTests/Distributions/ExponentialLa10.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class ExponentialLa10
 {
-    [ExcludeFromCodeCoverage]
-    public class ExponentialLa10
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.ExponentialLa10(null));
     }
-    }
 }

FastRngTests/Distributions/ExponentialLa5.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class ExponentialLa5
 {
-    [ExcludeFromCodeCoverage]
-    public class ExponentialLa5
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.ExponentialLa5(null));
     }
-    }
 }

FastRngTests/Distributions/GammaA5B15.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class GammaA5B15
 {
-    [ExcludeFromCodeCoverage]
-    public class GammaA5B15
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.GammaA5B15(null));
     }
-    }
 }

FastRngTests/Distributions/InverseExponentialLa10.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class InverseExponentialLa10
 {
-    [ExcludeFromCodeCoverage]
-    public class InverseExponentialLa10
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.InverseExponentialLa10(null));
     }
-    }
 }

FastRngTests/Distributions/InverseExponentialLa5.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class InverseExponentialLa5
 {
-    [ExcludeFromCodeCoverage]
-    public class InverseExponentialLa5
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.InverseExponentialLa5(null));
     }
-    }
 }

FastRngTests/Distributions/InverseGammaA3B05.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class InverseGammaA3B05
 {
-    [ExcludeFromCodeCoverage]
-    public class InverseGammaA3B05
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.InverseGammaA3B05(null));
     }
-    }
 }

FastRngTests/Distributions/LaplaceB01M0.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class LaplaceB01M0
 {
-    [ExcludeFromCodeCoverage]
-    public class LaplaceB01M0
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.LaplaceB01M0(null));
     }
-    }
 }

FastRngTests/Distributions/LaplaceB01M05.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class LaplaceB01M05
 {
-    [ExcludeFromCodeCoverage]
-    public class LaplaceB01M05
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.LaplaceB01M05(null));
     }
-    }
 }

FastRngTests/Distributions/LogNormalS1M0.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class LogNormalS1M0
 {
-    [ExcludeFromCodeCoverage]
-    public class LogNormalS1M0
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.LogNormalS1M0(null));
     }
-    }
 }

FastRngTests/Distributions/NormalS02M05.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class NormalS02M05
 {
-    [ExcludeFromCodeCoverage]
-    public class NormalS02M05
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -76,5 +76,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.NormalS02M05(null));
     }
-    }
 }

FastRngTests/Distributions/StudentTNu1.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class StudentTNu1
 {
-    [ExcludeFromCodeCoverage]
-    public class StudentTNu1
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.StudentTNu1(null));
     }
-    }
 }

FastRngTests/Distributions/Uniform.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class Uniform
 {
-    [ExcludeFromCodeCoverage]
-    public class Uniform
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -293,5 +293,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.Uniform(null));
     }
-    }
 }

FastRngTests/Distributions/WeibullK05La1.cs

@@ -5,11 +5,11 @@ using System.Threading.Tasks;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests.Distributions
+namespace FastRngTests.Distributions;
+
+[ExcludeFromCodeCoverage]
+public class WeibullK05La1
 {
-    [ExcludeFromCodeCoverage]
-    public class WeibullK05La1
-    {
     [Test]
     [Category(TestCategories.COVER)]
     [Category(TestCategories.NORMAL)]
@@ -80,5 +80,4 @@ namespace FastRngTests.Distributions
     {
         Assert.Throws<ArgumentNullException>(() => new FastRng.Distributions.WeibullK05La1(null));
     }
-    }
 }

FastRngTests/FrequencyAnalysis.cs

@@ -3,11 +3,11 @@ using System.Diagnostics.CodeAnalysis;
 using System.Linq;
 using System.Text;
 
-namespace FastRngTests
+namespace FastRngTests;
+
+[ExcludeFromCodeCoverage]
+public sealed class FrequencyAnalysis
 {
-    [ExcludeFromCodeCoverage]
-    public sealed class FrequencyAnalysis
-    {
     private readonly uint[] data;
         
     public FrequencyAnalysis(int samples = 100)
@@ -46,7 +46,7 @@ namespace FastRngTests
     public float[] NormalizeAndPlotEvents(Action<string> writer)
     {
         var result = this.Normalize();
-            FrequencyAnalysis.Plot(result, writer, "Event Distribution");
+        Plot(result, writer, "Event Distribution");
             
         return result;
     }
@@ -54,7 +54,7 @@ namespace FastRngTests
     public void PlotOccurence(Action<string> writer)
     {
         var data = this.data.Select(n => n > 0f ? 1.0f : 0.0f).ToArray();
-            FrequencyAnalysis.Plot(data, writer, "Occurrence Distribution");
+        Plot(data, writer, "Occurrence Distribution");
     }
 
     private static void Plot(float[] data, Action<string> writer, string name)
@@ -80,5 +80,4 @@ namespace FastRngTests
         writer.Invoke(name);
         writer.Invoke(string.Empty);
     }
-    }
 }

FastRngTests/MathToolsTests.cs

@@ -3,11 +3,11 @@ using System.Diagnostics.CodeAnalysis;
 using FastRng;
 using NUnit.Framework;
 
-namespace FastRngTests
+namespace FastRngTests;
+
+[ExcludeFromCodeCoverage]
+public class MathToolsTests
 {
-    [ExcludeFromCodeCoverage]
-    public class MathToolsTests
-    {
     #region Gamma
 
     [Test]
@@ -337,5 +337,4 @@ namespace FastRngTests
     }
 
     #endregion
-    }
 }

FastRngTests/MultiThreadedRngTests.cs

@@ -6,11 +6,11 @@ using FastRng;
 using FastRng.Distributions;
 using NUnit.Framework;
 
-namespace FastRngTests
+namespace FastRngTests;
+
+[ExcludeFromCodeCoverage]
+public class MultiThreadedRngTests
 {
-    [ExcludeFromCodeCoverage]
-    public class MultiThreadedRngTests
-    {
     private readonly IRandom rng = new MultiThreadedRng();
         
     [Test]
@@ -621,5 +621,4 @@ namespace FastRngTests
         Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(4));
         Assert.That(await dist.NextNumber(1, 100), Is.EqualTo(56));
     }
-    }
 }

FastRngTests/PerformanceTests.cs

@@ -9,11 +9,11 @@ using MathNet.Numerics.Distributions;
 using MathNet.Numerics.Random;
 using NUnit.Framework;
 
-namespace FastRngTests
+namespace FastRngTests;
+
+[ExcludeFromCodeCoverage]
+public class PerformanceTests
 {
-    [ExcludeFromCodeCoverage]
-    public class PerformanceTests
-    {
     #region FastRng
 
     [Test]
@@ -133,5 +133,4 @@ namespace FastRngTests
     }
 
     #endregion
-    }
 }

FastRngTests/RunningStatistics.cs

@@ -1,21 +1,17 @@
 using System;
 using System.Diagnostics.CodeAnalysis;
 
-namespace FastRngTests
+namespace FastRngTests;
+
+[ExcludeFromCodeCoverage]
+internal sealed class RunningStatistics
 {
-    [ExcludeFromCodeCoverage]
-    internal sealed class RunningStatistics
-    {
     private float previousM;
     private float previousS;
     private float nextM;
     private float nextS;
 
-        public RunningStatistics()
+    private int NumberRecords { get; set; } = 0;
-        {
-        }
- 
-        public int NumberRecords { get; private set; } = 0;
         
     public void Clear() => this.NumberRecords = 0;
 
@@ -45,5 +41,4 @@ namespace FastRngTests
     public float Variance => this.NumberRecords > 1 ? this.nextS / (this.NumberRecords - 1f) : 0.0f;
 
     public float StandardDeviation => MathF.Sqrt(this.Variance);
-    }
 }

FastRngTests/TestCategories.cs

@@ -1,11 +1,10 @@
-namespace FastRngTests
+namespace FastRngTests;
+
+public static class TestCategories
 {
-    public class TestCategories
-    {
     public const string COVER = "cover";
     public const string PERFORMANCE = "performance";
     public const string NORMAL = "normal";
     public const string EXAMPLE = "example";
     public const string LONG_RUNNING = "long running";
-    }
 }