def log_pdf_at_quantile(self, alphas):
        """
        Computes the log-pdf at a given 1d-vector of quantiles
        """
        chi2_instance = chi2(self.dimension)
        cuttoffs = chi2_instance.isf(alphas - 1)
        
        log_determinant_part = -sum(log(diag(self.L)))
        quadratic_part = -0.5 * cuttoffs
        const_part = -0.5 * len(self.L) * log(2 * pi)
        
        return const_part + log_determinant_part + quadratic_part
dataset/ETHPy150Open karlnapf/kameleon-mcmc/kameleon_mcmc/distribution/Gaussian.py/Gaussian.log_pdf_at_quantile/swapped operands of `-`