Formatting

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tsommer committed 2020-09-26 23:27:10 +02:00
1 parent 8cc4c3c1e9
commit 8676c3f9a7
10 files changed
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@@ -25,7 +25,7 @@ namespace FastRng.Double.Distributions
public async ValueTask<double> GetDistributedValue(CancellationToken token = default)
{
if (this.Random == null)
return System.Double.NaN;
return double.NaN;
return await this.Random.NextNumber(new Gamma{ Shape = 0.5 * this.DegreesOfFreedom, Scale = 2.0 }, token);
}
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@@ -25,7 +25,7 @@ namespace FastRng.Double.Distributions
public async ValueTask<double> GetDistributedValue(CancellationToken token = default)
{
if (this.Random == null)
return System.Double.NaN;
return double.NaN;
if(this.Mean == 1.0)
return -Math.Log(await this.Random.GetUniform(token));
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@@ -29,7 +29,7 @@ namespace FastRng.Double.Distributions
public async ValueTask<double> GetDistributedValue(CancellationToken token = default)
{
if (this.Random == null)
return System.Double.NaN;
return double.NaN;
// Implementation based on "A Simple Method for Generating Gamma Variables"
// by George Marsaglia and Wai Wan Tsang. ACM Transactions on Mathematical Software
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@@ -27,7 +27,7 @@ namespace FastRng.Double.Distributions
public async ValueTask<double> GetDistributedValue(CancellationToken token = default)
{
if (this.Random == null)
return System.Double.NaN;
return double.NaN;
var gammaDist = new Gamma{ Shape = this.Shape, Scale = 1.0 / this.Scale };
return 1.0 / await this.Random.NextNumber(gammaDist, token);
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@@ -15,7 +15,7 @@ namespace FastRng.Double.Distributions
public async ValueTask<double> GetDistributedValue(CancellationToken token = default)
{
if (this.Random == null)
return System.Double.NaN;
return double.NaN;
var value = await this.Random.GetUniform(token);
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@@ -26,7 +26,7 @@ namespace FastRng.Double.Distributions
public async ValueTask<double> GetDistributedValue(CancellationToken token = default)
{
if (this.Random == null)
return System.Double.NaN;
return double.NaN;
var normal = await this.Random.NextNumber(new Normal {Mean = this.Mu, StandardDeviation = this.Sigma}, token);
return Math.Exp(normal);
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@@ -27,7 +27,7 @@ namespace FastRng.Double.Distributions
public async ValueTask<double> GetDistributedValue(CancellationToken token = default)
{
if (this.Random == null)
return System.Double.NaN;
return double.NaN;
var u1 = await this.Random.GetUniform(token);
var u2 = await this.Random.GetUniform(token);
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@@ -26,7 +26,7 @@ namespace FastRng.Double.Distributions
public async ValueTask<double> GetDistributedValue(CancellationToken token = default)
{
if (this.Random == null)
return System.Double.NaN;
return double.NaN;
var normal = await this.Random.NextNumber(NORMAL_DISTRIBUTED, token);
var chiSquare = await this.Random.NextNumber(new ChiSquare {DegreesOfFreedom = this.DegreesOfFreedom}, token);
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@@ -7,6 +7,6 @@ namespace FastRng.Double.Distributions
{
public IRandom Random { get; set; }
public async ValueTask<double> GetDistributedValue(CancellationToken token = default) => this.Random == null ? System.Double.NaN : await this.Random.GetUniform(token);
public async ValueTask<double> GetDistributedValue(CancellationToken token = default) => this.Random == null ? double.NaN : await this.Random.GetUniform(token);
}
}
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@@ -38,7 +38,7 @@ namespace FastRng.Double.Distributions
public async ValueTask<double> GetDistributedValue(CancellationToken token = default)
{
if (this.Random == null)
return System.Double.NaN;
return double.NaN;
var value = await this.Random.GetUniform(token);
return this.Scale * Math.Pow(-Math.Log(value), 1.0 / this.Shape);