Merged redundant project onto server

src/Server/Probmethods.cs

@@ -0,0 +1,72 @@
+
+
+using System.Numerics.Tensors;
+
+namespace Server;
+
+
+public class Probmethods
+{
+    public delegate float probMethodDelegate(List<(string, float)> list);
+    public Dictionary<string, probMethodDelegate> probMethods;
+
+    public Probmethods(Dictionary<string, probMethodDelegate> probMethods)
+    {
+        this.probMethods = probMethods;
+    }
+    
+    public Probmethods()
+    {
+        probMethods = [];
+        probMethods["wavg"] = WavgList;
+        probMethods["weighted_average"] = WavgList;
+    }
+
+    public probMethodDelegate? GetMethod(string name)
+    {
+        try
+        {
+            return probMethods[name];
+        } catch (Exception)
+        {
+            return null;
+        }
+    }
+
+    public static float Fact(float x)
+    {
+        return 1 / (1 - x);
+    }
+
+    public static float WavgList(List<(string, float)> list)
+    {
+        float[] arr = new float[list.Count];
+        for (int i = 0; i < list.Count; i++)
+        {
+            arr[i] = list.ElementAt(i).Item2;
+        }
+        return Wavg(arr);
+    }
+
+    public static float Wavg(float[] arr)
+    {
+        if (arr.Contains(1))
+        {
+            return 1;
+        }
+        float f = 0;
+        float fm = 0;
+        for (int i = 0; i < arr.Length; i++)
+        {
+            float x = arr[i];
+            f += Fact(x);
+            fm += x * Fact(x);
+        }
+        return f / fm;
+    }
+
+    public static float Similarity(float[] vector1, float[] vector2)
+    {
+        return (float) TensorPrimitives.CosineSimilarity(vector1, vector2);
+    }
+}