code: def unit_transform(self, x, **kwargs):
          
          if len(kwargs) > 0:
              self.update(**kwargs)
          return self.distribution.ppf(x, *self.args,
                                       loc=self.loc, scale=self.scale)
docs: Go from a value of the CDF (between 0 and 1) to the corresponding
          parameter value.
  
          :param x:
              A scalar or vector of same length as the Prior with values between
              zero and one corresponding to the value of the CDF.
  
          :returns theta:
              The parameter value corresponding to the value of the CDF given by
              `x`.