Sample values from predictive distribution of the given latent state.

        :param Y: A list of constraints to apply when sampling.  Each constraint
            is a triplet of (r, d, v): r is the row index, d is the column
            index and v is the value of the constraint
        :type Y: list of lists
        :param Q: A list of values to sample.  Each value is doublet of (r, d):
            r is the row index, d is the column index
        :type Q: list of lists
        :param n: the number of samples to draw
        :type n: int

        :returns: list of floats.  Samples in the same order specified by Q

def simple_predictive_sample(self, M_c, X_L, X_D, Y, Q, seed, n=1):
        """Sample values from predictive distribution of the given latent state.

        :param Y: A list of constraints to apply when sampling.  Each constraint
            is a triplet of (r, d, v): r is the row index, d is the column
            index and v is the value of the constraint
        :type Y: list of lists
        :param Q: A list of values to sample.  Each value is doublet of (r, d):
            r is the row index, d is the column index
        :type Q: list of lists
        :param n: the number of samples to draw
        :type n: int

        :returns: list of floats.  Samples in the same order specified by Q
        """
        get_next_seed = make_get_next_seed(seed)
        samples = _do_simple_predictive_sample(
            M_c, X_L, X_D, Y, Q, n, get_next_seed)
        return samples