code: def simple_predictive_sample(self, M_c, X_L, X_D, Y, Q, seed, n=1):
          
          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
docs: 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