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