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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 cyclic_time_shift(self, dt):
 """Shift the data and timestamps by a given number of seconds Shift the data and timestamps in the time domain a given number of seconds. To just change the time stamps, do ts.start_time += dt. The time shift may be smaller than the intrinsic sample rate of the data. Note that data will be cycliclly rotated, so if you shift by 2 seconds, the final 2 seconds of your data will now be at the beginning of the data set. Parameters dt : float Amount of time to shift the vector. Returns ------- data : pycbc.types.FrequencySeries The time shifted frequency series. """

        from pycbc.waveform import apply_fseries_time_shift
        data = apply_fseries_time_shift(self, dt)
        data.start_time = self.start_time - dt
        return data