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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 _compute_mean(self, C, mag, rrup, hypo_depth, delta_R, delta_S, delta_V, delta_I, vs30):
 """ Compute MMI Intensity Value as per Equation in Table 5 and Table 7 pag 198. """

        # mean is calculated for all the 4 classes using the same equation.
        # For DowrickRhoades2005SSlab, the coefficients which don't appear in
        # Model 3 equationare assigned to zero

        mean = (C['A1'] + (C['A2'] + C['A2R'] * delta_R + C['A2V'] * delta_V) *
                mag + (C['A3'] + C['A3S'] * delta_S + C['A3V'] * delta_V) *
                np.log10(np.power((rrup**3 + C['d']**3), 1.0 / 3.0)) +
                C['A4'] * hypo_depth + C['A5'] * delta_I)

        # Get S site class term
        S = self._get_site_class(vs30, mean)

        # Add S amplification term to mean value
        mean = mean + S

        return mean