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@ -95,8 +95,6 @@ namespace HNSWDemo
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return vectors;
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}
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private static Dictionary<int, Person> _database = new Dictionary<int, Person>();
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static void Main(string[] args)
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{
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FilterTest();
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@ -367,28 +365,31 @@ namespace HNSWDemo
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var dimensionality = 128;
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var samples = Person.GenerateRandom(dimensionality, count);
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var testDict = samples.ToDictionary(s => s.Item2.Number, s => s.Item2);
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var map = new HNSWMap<long>();
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var world = new SmallWorld<float[]>(NSWOptions<float[]>.Create(6, 15, 200, 200, CosineDistance.ForUnits, true, true, selectionHeuristic: NeighbourSelectionHeuristic.SelectSimple));
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var ids = world.AddItems(samples.Select(i => i.Item1).ToArray());
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for (int bi = 0; bi < samples.Count; bi++)
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{
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_database.Add(ids[bi], samples[bi].Item2);
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map.Append(samples[bi].Item2.Number, ids[bi]);
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}
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Console.WriteLine("Start test");
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int K = 200;
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var vectors = RandomVectors(dimensionality, testCount);
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var context = new SearchContext().SetActiveNodes(_database.Where(pair => pair.Value.Age > 20 && pair.Value.Age < 50 && pair.Value.Gender == Gender.Feemale).Select(pair => pair.Key));
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var context = new SearchContext().SetActiveNodes(map.ConvertFeaturesToIds(samples.Where(p => p.Item2.Age > 20 && p.Item2.Age < 50 && p.Item2.Gender == Gender.Feemale).Select(p => p.Item2.Number)));
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var hits = 0;
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var miss = 0;
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foreach (var v in vectors)
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{
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var result = world.Search(v, K, context);
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foreach (var r in result)
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var numbers = map.ConvertIdsToFeatures( world.Search(v, K, context).Select(r=>r.Item1));
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foreach (var r in numbers)
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{
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var record = _database[r.Item1];
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var record = testDict[r];
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if (record.Gender == Gender.Feemale && record.Age > 20 && record.Age < 50)
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{
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hits++;
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