code: def construct_wishart(self,v,X):
          
          self.adjust_prior(list(range(int((len(self.latent_variables.z_list)-self.ylen-(self.ylen**2-self.ylen)/2)),
              int(len(self.latent_variables.z_list)))), fam.InverseWishart(v,X))
docs: Constructs a Wishart prior for the covariance matrix