public static string ToJson(SparseIntVect32 vector)
{
var sb = new StringBuilder();
sb.Append("{");
sb.Append($"\"size\":{vector.size()},");
sb.Append("\"nonzero\":{");
sb.Append(string.Join(",", vector.getNonzero().Select(n => $"{n.first}:{n.second}")));
sb.Append("}}");
return sb.ToString();
}
public static RDKitSparseVector FromSIV(SparseIntVect32 vector)
{
var o = new RDKitSparseVector()
{
Size = vector.Count(),
};
o.Nonzero = new Dictionary<long, int>();
foreach (var e in vector.GetNonzero())
{
o.Nonzero.Add(e.first, e.second);
}
return o;
}
public static string ToExcelString(SparseIntVect32 vector)
{
return(RDKitSparseVector.ToJson(vector));
}
public static Match_Vect GetNonzero(this SparseIntVect32 v) => v.getNonzero();
public static int Count(this SparseIntVect32 v) => (int)v.size();
public static double TverskySimilarity(SparseIntVect32 v1, SparseIntVect32 v2, double a, double b, bool returnDistance = false, double bounds = 0) => RDKFuncs.TverskySimilarity(v1, v2, a, b, returnDistance, bounds);
public static double TanimotoSimilarity(SparseIntVect32 v1, SparseIntVect32 v2, bool returnDistance = false, double bounds = 0) => RDKFuncs.TanimotoSimilaritySIVi32(v1, v2, returnDistance, bounds);
public static double DiceSimilarity(SparseIntVect32 v1, SparseIntVect32 v2, bool returnDistance = false, double bounds = 0) => RDKFuncs.DiceSimilarity(v1, v2, returnDistance, bounds);
