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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:
 """Required shape of |NetCDFVariableDeep.array|. For the default configuration, the first axis corresponds to the number of devices, and the second one to the number of timesteps. We show this for the 0-dimensional input sequence |lland_inputs.Nied|: (3, 4) For higher dimensional sequences, each new entry corresponds to the maximum number of fields the respective sequences require. In the next example, we select the 1-dimensional sequence |lland_fluxes.NKor|. The maximum number 3 (last value of the returned |tuple|) is due to the third element defining three hydrological response units: (3, 4, 3) When using the first axis for time (`timeaxis=0`) the order of the first two |tuple| entries turns: (4, 3, 3) """

        nmb_place = len(self.sequences)
        nmb_time = len(hydpy.pub.timegrids.init)
        nmb_others = collections.deque()
        for sequence in self.sequences.values():
            nmb_others.append(sequence.shape)
        nmb_others_max = tuple(numpy.max(nmb_others, axis=0))
        return self.sort_timeplaceentries(nmb_time, nmb_place) + nmb_others_max