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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def construct_wishart(self,v,X):
 """ Constructs a Wishart prior for the covariance matrix """

        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))