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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 computed_fitting_parameters(self):
 """ A list identical to what is set with `scipy_data_fitting.Fit.fitting_parameters`, but in each dictionary, the key `value` is added with the fitted value of the quantity. The reported value is scaled by the inverse prefix. """

        fitted_parameters = []
        for (i, v) in enumerate(self.fitting_parameters):
            param = v.copy()
            param['value'] = self.fitted_parameters[i] * prefix_factor(param)**(-1)
            fitted_parameters.append(param)

        return fitted_parameters