Optimization

FastRng/Double/Distributions/Exponential.cs

@@ -6,7 +6,7 @@ namespace FastRng.Double.Distributions
 {
     public sealed class Exponential : IDistribution
     {
-        private double mean = 1;
+        private double mean = 1.0;
         
         public IRandom Random { get; set; }
 
@@ -15,7 +15,7 @@ namespace FastRng.Double.Distributions
             get => this.mean;
             set
             {
-                if(value <= 0)
+                if(value <= 0.0)
                     throw new ArgumentOutOfRangeException(message: "Mean must be greater than 0", null);
                 
                 this.mean = value;
@@ -27,7 +27,7 @@ namespace FastRng.Double.Distributions
             if (this.Random == null)
                 return 0.0;
 
-            if(this.Mean == 1)
+            if(this.Mean == 1.0)
                 return -Math.Log(await this.Random.GetUniform(token));
             else
                 return this.Mean * -Math.Log(await this.Random.GetUniform(token));

FastRng/Double/Distributions/Gamma.cs

@@ -6,7 +6,7 @@ namespace FastRng.Double.Distributions
 {
     public sealed class Gamma : IDistribution
     {
-        private double shape = 1;
+        private double shape = 1.0;
         
         public IRandom Random { get; set; }
 
@@ -15,14 +15,14 @@ namespace FastRng.Double.Distributions
             get => this.shape;
             set
             {
-                if(value <= 0)
+                if(value <= 0.0)
                     throw new ArgumentOutOfRangeException(message: "Shape must be greater than 0", null);
                 
                 this.shape = value;
             }
         }
 
-        public double Scale { get; set; } = 1;
+        public double Scale { get; set; } = 1.0;
         
         public async ValueTask<double> GetDistributedValue(CancellationToken token)
         {

FastRng/Double/Distributions/Normal.cs

@@ -6,18 +6,18 @@ namespace FastRng.Double.Distributions
 {
     public sealed class Normal : IDistribution
     {
-        private double standardDeviation = 1;
+        private double standardDeviation = 1.0;
         
         public IRandom Random { get; set; }
 
-        public double Mean { get; set; } = 0;
+        public double Mean { get; set; } = 0.0;
 
         public double StandardDeviation
         {
             get => this.standardDeviation;
             set
             {
-                if(value <= 0)
+                if(value <= 0.0)
                     throw new ArgumentOutOfRangeException(message: "Standard deviation must be greater than 0", null);
                 
                 this.standardDeviation = value;