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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 prepare_io_example_1() -> Tuple[devicetools.Nodes, devicetools.Elements]: # noinspection PyUnresolvedReferences """Prepare an IO example configuration. (1) Prepares a short initialisation period of five days: Timegrids(Timegrid('2000-01-01 00:00:00', '2000-01-05 00:00:00', '1d')) (2) Prepares a plain IO testing directory structure: 'inputpath' 'outputpath' 'outputpath' 'nodepath' ['inputpath', 'nodepath', 'outputpath'] (3) Returns three |Element| objects handling either application model |lland_v1| or |lland_v2|, and two |Node| objects handling variables `Q` and `T`: element1 lland_v1 element2 lland_v1 element3 lland_v2 node1 Q node2 T (4) Prepares the time series data of the input sequence |lland_inputs.Nied|, flux sequence |lland_fluxes.NKor|, and state sequence |lland_states.BoWa| for each model instance, and |Sim| for each node instance (all values are different), e.g.: InfoArray([ 0., 1., 2., 3.]) InfoArray([[ 12.], [ 13.], [ 14.], [ 15.]]) InfoArray([[ 48., 49., 50.], [ 51., 52., 53.], [ 54., 55., 56.], [ 57., 58., 59.]]) InfoArray([ 64., 65., 66., 67.]) (5) All sequences carry |numpy.ndarray| objects with (deep) copies of the time series data for testing: InfoArray(True, dtype=bool) InfoArray(False, dtype=bool) """

    from hydpy import TestIO
    TestIO.clear()
    from hydpy.core.filetools import SequenceManager
    hydpy.pub.sequencemanager = SequenceManager()
    with TestIO():
        hydpy.pub.sequencemanager.inputdirpath = 'inputpath'
        hydpy.pub.sequencemanager.fluxdirpath = 'outputpath'
        hydpy.pub.sequencemanager.statedirpath = 'outputpath'
        hydpy.pub.sequencemanager.nodedirpath = 'nodepath'

    hydpy.pub.timegrids = '2000-01-01', '2000-01-05', '1d'

    from hydpy import Node, Nodes, Element, Elements, prepare_model
    node1 = Node('node1')
    node2 = Node('node2', variable='T')
    nodes = Nodes(node1, node2)
    element1 = Element('element1', outlets=node1)
    element2 = Element('element2', outlets=node1)
    element3 = Element('element3', outlets=node1)
    elements = Elements(element1, element2, element3)

    from hydpy.models import lland_v1, lland_v2
    element1.model = prepare_model(lland_v1)
    element2.model = prepare_model(lland_v1)
    element3.model = prepare_model(lland_v2)

    from hydpy.models.lland import ACKER
    for idx, element in enumerate(elements):
        parameters = element.model.parameters
        parameters.control.nhru(idx+1)
        parameters.control.lnk(ACKER)
        parameters.derived.absfhru(10.0)

    with hydpy.pub.options.printprogress(False):
        nodes.prepare_simseries()
        elements.prepare_inputseries()
        elements.prepare_fluxseries()
        elements.prepare_stateseries()

    def init_values(seq, value1_):
        value2_ = value1_ + len(seq.series.flatten())
        values_ = numpy.arange(value1_, value2_, dtype=float)
        seq.testarray = values_.reshape(seq.seriesshape)
        seq.series = seq.testarray.copy()
        return value2_

    import numpy
    value1 = 0
    for subname, seqname in zip(['inputs', 'fluxes', 'states'],
                                ['nied', 'nkor', 'bowa']):
        for element in elements:
            subseqs = getattr(element.model.sequences, subname)
            value1 = init_values(getattr(subseqs, seqname), value1)
    for node in nodes:
        value1 = init_values(node.sequences.sim, value1)

    return nodes, elements