def weights(self, mu):
        r"""
        Weights for IRLS steps

        Parameters
        ----------
        mu : array-like
            The transformed mean response variable in the exponential family

        Returns
        -------
        w : array
            The weights for the IRLS steps

        Notes
        -----
        .. math::

           w = 1 / (g'(\mu)^2  * Var(\mu))
        """
        return (self.link.deriv(mu)**2 * self.variance(mu)) / 1.
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/genmod/families/family.py/Family.weights/swapped operands of `/`