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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 shape(self) -> Tuple[int, int]: """Required shape of |NetCDFVariableFlat.array|. For 0-dimensional sequences like |lland_inputs.Nied| and for the default configuration (`timeaxis=1`), the first axis corresponds to the number of devices, and the second one two the number of timesteps: (3, 4) For higher dimensional sequences, the first axis corresponds to "subdevices", e.g. hydrological response units within different elements. The 1-dimensional sequence |lland_fluxes.NKor| is logged for three elements with one, two, and three response units respectively, making up a sum of six subdevices: (6, 4) When using the first axis as the "timeaxis", the order of |tuple| entries turns: (4, 6) """

        return self.sort_timeplaceentries(
            len(hydpy.pub.timegrids.init),
            sum(len(seq) for seq in self.sequences.values()))