Refactored NextNumber into distributions

FastRngTests/Double/Distributions/BetaA2B2.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
             
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/BetaA2B5.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
             
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/BetaA5B2.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
             
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/CauchyLorentzX0.cs

@@ -23,7 +23,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
             
@@ -55,7 +55,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -70,7 +70,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/CauchyLorentzX1.cs

@@ -23,7 +23,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
             
@@ -55,7 +55,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -70,7 +70,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/ChiSquareK1.cs

@@ -21,7 +21,7 @@ namespace FastRngTests.Double.Distributions
             
             for (var n = 0; n < 100_000; n++)
             {
-                var value = await rng.NextNumber(dist);
+                var value = await dist.NextNumber();
                 fqa.CountThis(value);
             }
             
@@ -55,7 +55,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -70,7 +70,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/ChiSquareK10.cs

@@ -21,7 +21,7 @@ namespace FastRngTests.Double.Distributions
             
             for (var n = 0; n < 100_000; n++)
             {
-                var value = await rng.NextNumber(dist);
+                var value = await dist.NextNumber();
                 fqa.CountThis(value);
             }
             
@@ -55,7 +55,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -70,7 +70,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/ChiSquareK4.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/ExponentialLa10.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/ExponentialLa5.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/GammaA5B15.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fra = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fra.CountThis(await rng.NextNumber(dist));
+                fra.CountThis(await dist.NextNumber());
             
             var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/InverseExponentialLa10.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/InverseExponentialLa5.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fqa = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fqa.CountThis(await rng.NextNumber(dist));
+                fqa.CountThis(await dist.NextNumber());
             
             var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/InverseGammaA3B05.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fra = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fra.CountThis(await rng.NextNumber(dist));
+                fra.CountThis(await dist.NextNumber());
             
             var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/LaplaceB01M0.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fra = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fra.CountThis(await rng.NextNumber(dist));
+                fra.CountThis(await dist.NextNumber());
             
             var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/LaplaceB01M05.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fra = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fra.CountThis(await rng.NextNumber(dist));
+                fra.CountThis(await dist.NextNumber());
             
             var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/LogNormalS1M0.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fra = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fra.CountThis(await rng.NextNumber(dist));
+                fra.CountThis(await dist.NextNumber());
             
             var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/NormalS02M05.cs

@@ -25,7 +25,7 @@ namespace FastRngTests.Double.Distributions
 
             for (var n = 0; n < 100_000; n++)
             {
-                var nextNumber = await rng.NextNumber(dist);
+                var nextNumber = await dist.NextNumber();
                 stats.Push(nextNumber);
                 fra.CountThis(nextNumber);
             }
@@ -48,7 +48,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -63,7 +63,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/StudentTNu1.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fra = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fra.CountThis(await rng.NextNumber(dist));
+                fra.CountThis(await dist.NextNumber());
             
             var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");

FastRngTests/Double/Distributions/Uniform.cs

@@ -119,7 +119,7 @@ namespace FastRngTests.Double.Distributions
             using var rng = new MultiThreadedRng(); 
             var dist = new FastRng.Double.Distributions.Uniform(rng);
             for (var n = 0; n < samples.Length; n++)
-                samples[n] = await rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -134,7 +134,7 @@ namespace FastRngTests.Double.Distributions
             using var rng = new MultiThreadedRng();
             var dist = new FastRng.Double.Distributions.Uniform(rng);
             for (var n = 0; n < samples.Length; n++)
-                samples[n] = await rng.NextNumber(0.0, 1.0, dist);
+                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");
@@ -164,7 +164,7 @@ namespace FastRngTests.Double.Distributions
             var distribution = new uint[101];
             var runs = 1_000_000;
             for (var n = 0; n < runs; n++)
-                distribution[await rng.NextNumber(0, 100, dist)]++;
+                distribution[await dist.NextNumber(0, 100)]++;
             
             for (var n = 0; n < distribution.Length - 1; n++)
                 Assert.That(distribution[n], Is.GreaterThan(0));
@@ -180,7 +180,7 @@ namespace FastRngTests.Double.Distributions
             var distribution = new uint[101];
             var runs = 1_000_000;
             for (var n = 0; n < runs; n++)
-                distribution[await rng.NextNumber(0UL, 100, dist)]++;
+                distribution[await dist.NextNumber(0UL, 100)]++;
             
             for (var n = 0; n < distribution.Length - 1; n++)
                 Assert.That(distribution[n], Is.GreaterThan(0));
@@ -196,7 +196,7 @@ namespace FastRngTests.Double.Distributions
             var distribution = new uint[101];
             var runs = 1_000_000;
             for (var n = 0; n < runs; n++)
-                distribution[(uint)Math.Floor(await rng.NextNumber(0.0, 100.0, dist))]++;
+                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));
@@ -211,7 +211,7 @@ namespace FastRngTests.Double.Distributions
             var distribution = new uint[101];
             var runs = 1_000_000;
             for (var n = 0; n < runs; n++)
-                distribution[await rng.NextNumber(0, 100, dist)]++;
+                distribution[await dist.NextNumber(0, 100)]++;
             
             Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 600));
         }
@@ -225,7 +225,7 @@ namespace FastRngTests.Double.Distributions
             var distribution = new uint[101];
             var runs = 1_000_000;
             for (var n = 0; n < runs; n++)
-                distribution[await rng.NextNumber(0UL, 100, dist)]++;
+                distribution[await dist.NextNumber(0UL, 100)]++;
             
             Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 600));
         }
@@ -239,7 +239,7 @@ namespace FastRngTests.Double.Distributions
             var distribution = new uint[101];
             var runs = 1_000_000;
             for (var n = 0; n < runs; n++)
-                distribution[(uint)Math.Floor(await rng.NextNumber(0.0, 100.0, dist))]++;
+                distribution[(uint)Math.Floor(await dist.NextNumber(0.0, 100.0))]++;
             
             Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 600));
         }
@@ -253,7 +253,7 @@ namespace FastRngTests.Double.Distributions
             var distribution = new uint[101];
             var runs = 100_000_000;
             for (var n = 0; n < runs; n++)
-                distribution[await rng.NextNumber(0, 100, dist)]++;
+                distribution[await dist.NextNumber(0, 100)]++;
             
             Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 6_000));
         }
@@ -267,7 +267,7 @@ namespace FastRngTests.Double.Distributions
             var distribution = new uint[101];
             var runs = 100_000_000;
             for (var n = 0; n < runs; n++)
-                distribution[await rng.NextNumber(0UL, 100, dist)]++;
+                distribution[await dist.NextNumber(0UL, 100)]++;
             
             Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 6_000));
         }
@@ -281,7 +281,7 @@ namespace FastRngTests.Double.Distributions
             var distribution = new uint[101];
             var runs = 100_000_000;
             for (var n = 0; n < runs; n++)
-                distribution[(uint)Math.Floor(await rng.NextNumber(0.0, 100.0, dist))]++;
+                distribution[(uint)Math.Floor(await dist.NextNumber(0.0, 100.0))]++;
             
             Assert.That(distribution[..^1].Max() - distribution[..^1].Min(), Is.InRange(0, 6_000));
         }

FastRngTests/Double/Distributions/WeibullK05La1.cs

@@ -20,7 +20,7 @@ namespace FastRngTests.Double.Distributions
             var fra = new FrequencyAnalysis();
             
             for (var n = 0; n < 100_000; n++)
-                fra.CountThis(await rng.NextNumber(dist));
+                fra.CountThis(await dist.NextNumber());
             
             var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine);
 
@@ -52,7 +52,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(-1.0, 1.0, dist);
+                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");
@@ -67,7 +67,7 @@ namespace FastRngTests.Double.Distributions
             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 rng.NextNumber(0.0, 1.0, dist);
+                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");