namespace Microsoft.ML.Probabilistic.Distributions
{
    [Quality(QualityBand.Experimental)]
    public class DistributionFileArray<T, DomainType> : FileArray<T>, CanGetAverageLog<DistributionFileArray<T, DomainType>>, CanGetLogAverageOf<DistributionFileArray<T, DomainType>>, CanGetLogAverageOfPower<DistributionFileArray<T, DomainType>>, CanGetLogProb<DomainType[]>, HasPoint<DomainType[]>, HasPoint<IList<DomainType>>, IDistribution, IDistribution<DomainType[]>, Sampleable<DomainType[]>, SettableToUniform, Diffable, SettableTo<DistributionFileArray<T, DomainType>>, SettableToPower<DistributionFileArray<T, DomainType>>, SettableToProduct<DistributionFileArray<T, DomainType>>, SettableToProduct<DistributionFileArray<T, DomainType>, DistributionFileArray<T, DomainType>>, SettableToRatio<DistributionFileArray<T, DomainType>>, SettableToRatio<DistributionFileArray<T, DomainType>, DistributionFileArray<T, DomainType>>, SettableToWeightedSum<DistributionFileArray<T, DomainType>>, ICloneable
        where T, CanGetAverageLog<T>, CanGetLogAverageOf<T>, CanGetLogAverageOfPower<T>, IDistribution<DomainType>, Sampleable<DomainType>, SettableTo<T>, SettableToPower<T>, SettableToProduct<T>, SettableToRatio<T>, SettableToWeightedSum<T>, ICloneable
    {
        public void SetToPower(DistributionFileArray<T, DomainType> value, double exponent);
    }
}