namespace Microsoft.ML.Probabilistic.Distributions
{
    [DataContract]
    public abstract class SparseDistributionList<TDist, TDomain, TThis> : ApproximateSparseList<TDist>, CanGetAverageLog<TThis>, CanGetLogAverageOf<TThis>, CanGetLogAverageOfPower<TThis>, CanGetLogProb<ISparseList<TDomain>>, CanGetMean<ISparseList<double>>, CanGetVariance<ISparseList<double>>, HasPoint<ISparseList<TDomain>>, IDistribution, IDistribution<ISparseList<TDomain>>, Sampleable<ISparseList<TDomain>>, SettableToUniform, Diffable, SettableTo<TThis>, SettableToPower<TThis>, SettableToProduct<TThis>, SettableToProduct<TThis, TThis>, SettableToRatio<TThis>, SettableToRatio<TThis, TThis>, SettableToWeightedSum<TThis>, ICloneable
        where TDist, struct, CanGetAverageLog<TDist>, CanGetLogAverageOf<TDist>, CanGetLogAverageOfPower<TDist>, CanGetMean<double>, CanGetVariance<double>, IDistribution<TDomain>, Sampleable<TDomain>, SettableToUniform, Diffable, SettableToPower<TDist>, SettableToProduct<TDist>, SettableToRatio<TDist>, SettableToWeightedSum<TDist>
        where TThis, new(), SparseDistributionList<TDist, TDomain, TThis>
    {
        [Construction(new[] { "Count", "CommonValue", "SparseValues", "Tolerance" })]
        public static TThis FromSparseValues(int size, TDist commonValue, List<ValueAtIndex<TDist>> sortedSparseValues, double tolerance);
    }
}