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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 get_timefactor(cls) -> float: """Factor to adjust a new value of a time-dependent parameter. For a time-dependent parameter, its effective value depends on the simulation step size. Method |Parameter.get_timefactor| returns the fraction between the current simulation step size and the current parameter step size. .. testsetup:: Period() Method |Parameter.get_timefactor| raises the following error when time information is not available: Traceback (most recent call last):
 RuntimeError: To calculate the conversion factor for adapting the \ values of the time-dependent parameters, you need to define both a \ parameter and a simulation time step size first. One can define both time step sizes directly: 0.25 As usual, the "global" simulation step size of the |Timegrids| object of module |pub| is prefered: 0.5 """

        try:
            parfactor = hydpy.pub.timegrids.parfactor
        except RuntimeError:
            if not (cls.parameterstep and cls.simulationstep):
                raise RuntimeError(
                    f'To calculate the conversion factor for adapting '
                    f'the values of the time-dependent parameters, '
                    f'you need to define both a parameter and a simulation '
                    f'time step size first.')
            else:
                date1 = timetools.Date('2000.01.01')
                date2 = date1 + cls.simulationstep
                parfactor = timetools.Timegrids(timetools.Timegrid(
                    date1, date2, cls.simulationstep)).parfactor
        return parfactor(cls.parameterstep)