83 lines
2.3 KiB
C#
83 lines
2.3 KiB
C#
using System;
|
|
using System.Linq;
|
|
using System.Runtime.CompilerServices;
|
|
using System.Text;
|
|
|
|
namespace FastRngTests.Double
|
|
{
|
|
public sealed class FrequencyAnalysis
|
|
{
|
|
private readonly uint[] data;
|
|
|
|
public FrequencyAnalysis(int samples = 100)
|
|
{
|
|
this.data = new uint[samples];
|
|
}
|
|
|
|
public void CountThis(double value)
|
|
{
|
|
var bucket = (int)Math.Floor(value * this.data.Length);
|
|
this.data[bucket]++;
|
|
}
|
|
|
|
public double[] GetNormalizedEvents()
|
|
{
|
|
var max = (double) this.data.Max();
|
|
var result = new double[this.data.Length];
|
|
for (var n = 0; n < this.data.Length; n++)
|
|
{
|
|
result[n] = this.data[n] / max;
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
private double[] Normalize()
|
|
{
|
|
var max = (double)this.data.Max();
|
|
var result = new double[this.data.Length];
|
|
for (var n = 0; n < this.data.Length; n++)
|
|
result[n] = this.data[n] / max;
|
|
|
|
return result;
|
|
}
|
|
|
|
public double[] NormalizeAndPlotEvents(Action<string> writer)
|
|
{
|
|
var result = this.Normalize();
|
|
FrequencyAnalysis.Plot(result, writer, "Event Distribution");
|
|
|
|
return result;
|
|
}
|
|
|
|
public void PlotOccurence(Action<string> writer)
|
|
{
|
|
var data = this.data.Select(n => n > 0 ? 1.0 : 0.0).ToArray();
|
|
FrequencyAnalysis.Plot(data, writer, "Occurrence Distribution");
|
|
}
|
|
|
|
private static void Plot(double[] data, Action<string> writer, string name)
|
|
{
|
|
const int HEIGHT = 16;
|
|
|
|
var values = new double[data.Length];
|
|
for (var n = 0; n < data.Length; n++)
|
|
{
|
|
values[n] = data[n] * HEIGHT;
|
|
}
|
|
|
|
var sb = new StringBuilder();
|
|
for (var line = HEIGHT; line > 0; line--)
|
|
{
|
|
for (var column = 0; column < data.Length; column++)
|
|
sb.Append(values[column] >= line ? '█' : '░');
|
|
|
|
writer.Invoke(sb.ToString());
|
|
sb.Clear();
|
|
}
|
|
|
|
writer.Invoke(name);
|
|
writer.Invoke(string.Empty);
|
|
}
|
|
}
|
|
} |