code: def get_f_clvd(self):
          
          if not self.principal_axes:
              # Principal axes not yet defined for moment tensor - raises error
              raise ValueError('Principal Axes not defined!')
  
          denominator = np.max(np.array([
              fabs(self.principal_axes.t_axis['eigenvalue']),
              fabs(self.principal_axes.p_axis['eigenvalue'])
          ]))
          self.f_clvd = -self.principal_axes.b_axis['eigenvalue'] / denominator
          return self.f_clvd
docs: Returns the statistic f_clvd: the signed ratio of the sizes of the
          intermediate and largest principal moments::
  
           f_clvd = -b_axis_eigenvalue / max(|t_axis_eigenvalue|,|p_axis_eigenvalue|)