Dotnet/FastRng
Dotnet/FastRng
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Optimization

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This commit is contained in:
Thorsten Sommer 2020-09-26 11:51:44 +02:00
parent b1dfeaec20
commit 43df57b1a1
3 changed files with 9 additions and 9 deletions
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6
FastRng/Double/Distributions/Exponential.cs
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@ -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));

6
FastRng/Double/Distributions/Gamma.cs
View File

@ -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)
{

6
FastRng/Double/Distributions/Normal.cs
View File

@ -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;