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70 lines
2.6 KiB
70 lines
2.6 KiB
using System;
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using System.Drawing;
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using System.Linq;
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using ZeroLevel.HNSW;
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namespace HNSWDemo.Tests
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{
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public class HistogramTest
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: ITest
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{
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private static int Count = 3000;
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private static int Dimensionality = 128;
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private static int Width = 3000;
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private static int Height = 3000;
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public void Run()
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{
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var vectors = VectorUtils.RandomVectors(Dimensionality, Count);
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var world = SmallWorld.CreateWorld<float[]>(NSWOptions<float[]>.Create(8, 16, 200, 200, Metrics.L2Euclidean));
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world.AddItems(vectors);
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var distance = new Func<int, int, float>((id1, id2) => Metrics.L2Euclidean(world.GetVector(id1), world.GetVector(id2)));
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var weights = world.GetLinks().SelectMany(pair => pair.Value.Select(id => distance(pair.Key, id)));
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var histogram = new Histogram(HistogramMode.SQRT, weights);
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histogram.Smooth();
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int threshold = histogram.CuttOff();
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var min = histogram.Bounds[threshold - 1];
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var max = histogram.Bounds[threshold];
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var R = (max + min) / 2;
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DrawHistogram(histogram, @"D:\hist.jpg");
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}
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static void DrawHistogram(Histogram histogram, string filename)
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{
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var wb = Width / histogram.Values.Length;
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var k = ((float)Height) / (float)histogram.Values.Max();
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var maxes = histogram.GetMaximums().ToDictionary(m => m.Index, m => m);
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int threshold = histogram.CuttOff();
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using (var bmp = new Bitmap(Width, Height))
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{
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using (var g = Graphics.FromImage(bmp))
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{
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for (int i = 0; i < histogram.Values.Length; i++)
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{
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var height = (int)(histogram.Values[i] * k);
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if (maxes.ContainsKey(i))
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{
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g.DrawRectangle(Pens.Red, i * wb, bmp.Height - height, wb, height);
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g.DrawRectangle(Pens.Red, i * wb + 1, bmp.Height - height, wb - 1, height);
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}
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else
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{
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g.DrawRectangle(Pens.Blue, i * wb, bmp.Height - height, wb, height);
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}
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if (i == threshold)
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{
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g.DrawLine(Pens.Green, i * wb + wb / 2, 0, i * wb + wb / 2, bmp.Height);
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}
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}
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}
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bmp.Save(filename);
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}
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}
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}
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}
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