somewhat trivial at least from a formulation perspective it's really just fitting a conditional distribution and we have talked about all sorts of ways to feed distributions in this class can auto regressive model or whatever and but the question becomes interesting if this kind of pair of data what if they are expensive to obtain or they just don't exist then we are basically going out of the range of this supervised distribution alignment problem like you have one distribution you have another but you don't have any pair of data then