Renamed GetUniform

FastRng/Distributions/Exponential.cs

@@ -28,9 +28,9 @@ namespace FastRng.Distributions
                 return 0;
 
             if(this.Mean == 1)
-                return -Math.Log(await this.Random.GetUniformDouble(token));
+                return -Math.Log(await this.Random.GetUniform(token));
             else
-                return this.Mean * -Math.Log(await this.Random.GetUniformDouble(token));
+                return this.Mean * -Math.Log(await this.Random.GetUniform(token));
         }
     }
 }

FastRng/Distributions/Gamma.cs

@@ -49,7 +49,7 @@ namespace FastRng.Distributions
                     while (v <= 0.0);
                     
                     v = v * v * v;
-                    var u = await this.Random.GetUniformDouble(token);
+                    var u = await this.Random.GetUniform(token);
                     var xSquared = x * x;
                     
                     if (u < 1.0 - 0.0331 * xSquared * xSquared || Math.Log(u) < 0.5 * xSquared + d * (1.0 - v + Math.Log(v)))
@@ -61,7 +61,7 @@ namespace FastRng.Distributions
                 var dist = new Gamma{ Scale = 1, Shape = 1 + this.Shape};
                 
                 var g = await this.Random.NextNumber(0.0f, 1.0f, dist, token); // TODO: Use double
-                var w = await this.Random.GetUniformDouble(token);
+                var w = await this.Random.GetUniform(token);
                 return this.Scale * g * Math.Pow(w, 1.0 / this.Shape);
             }
         }

FastRng/Distributions/Normal.cs

@@ -29,8 +29,8 @@ namespace FastRng.Distributions
             if (this.Random == null)
                 return 0;
 
-            var u1 = await this.Random.GetUniformDouble(token);
-            var u2 = await this.Random.GetUniformDouble(token);
+            var u1 = await this.Random.GetUniform(token);
+            var u2 = await this.Random.GetUniform(token);
             var r = Math.Sqrt(-2.0 * Math.Log(u1));
             var theta = 2.0 * Math.PI * u2;
             var value = r * Math.Sin(theta);

FastRng/Distributions/Uniform.cs

@@ -7,6 +7,6 @@ namespace FastRng.Distributions
     {
         public IRandom Random { get; set; }
         
-        public async Task<double> GetDistributedValue(CancellationToken token = default) => this.Random == null ? 0 : await this.Random.GetUniformDouble(token);
+        public async Task<double> GetDistributedValue(CancellationToken token = default) => this.Random == null ? 0 : await this.Random.GetUniform(token);
     }
 }

FastRng/IRandom.cs

@@ -7,7 +7,7 @@ namespace FastRng
 {
     public interface IRandom
     {
-        public Task<double> GetUniformDouble(CancellationToken cancel = default);
+        public Task<double> GetUniform(CancellationToken cancel = default);
         
         public Task<uint> NextNumber(uint rangeStart, uint rangeEnd, IDistribution distribution, CancellationToken cancel = default);
         

FastRng/MultiThreadedRng.cs

@@ -133,7 +133,7 @@ namespace FastRng
 
         #region Implementing interface
 
-        public async Task<double> GetUniformDouble(CancellationToken cancel = default) => await this.channelRandomUniformDistributedDouble.Reader.ReadAsync(cancel);
+        public async Task<double> GetUniform(CancellationToken cancel = default) => await this.channelRandomUniformDistributedDouble.Reader.ReadAsync(cancel);
 
         public async Task<uint> NextNumber(uint rangeStart, uint rangeEnd, IDistribution distribution, CancellationToken cancel = default)
         {