FastRng/FastRngTests/Float/FrequencyAnalysis.cs

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using System;
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using System.Diagnostics.CodeAnalysis;
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using System.Linq;
using System.Text;
namespace FastRngTests.Float
{
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[ExcludeFromCodeCoverage]
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public sealed class FrequencyAnalysis
{
private readonly uint[] data;
public FrequencyAnalysis(int samples = 100)
{
this.data = new uint[samples];
}
public void CountThis(float value)
{
var bucket = (int)MathF.Floor(value * this.data.Length);
this.data[bucket]++;
}
public float[] GetNormalizedEvents()
{
var max = (float) this.data.Max();
var result = new float[this.data.Length];
for (var n = 0; n < this.data.Length; n++)
{
result[n] = this.data[n] / max;
}
return result;
}
private float[] Normalize()
{
var max = (float)this.data.Max();
var result = new float[this.data.Length];
for (var n = 0; n < this.data.Length; n++)
result[n] = this.data[n] / max;
return result;
}
public float[] 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 > 0f ? 1.0f : 0.0f).ToArray();
FrequencyAnalysis.Plot(data, writer, "Occurrence Distribution");
}
private static void Plot(float[] data, Action<string> writer, string name)
{
const int HEIGHT = 16;
var values = new float[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);
}
}
}