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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 calc_waterlevel_v1(self):
 """Determine the water level based on an artificial neural network describing the relationship between water level and water stage. Required control parameter: |WaterVolume2WaterLevel| Required state sequence: |WaterVolume| Calculated aide sequence: |WaterLevel| Example: Prepare a dam model: Prepare a very simple relationship based on one single neuron: At least in the water volume range used in the following examples, the shape of the relationship looks acceptable: | ex. | watervolume | waterlevel | | 1 | 0.0 | 0.0 | | 2 | 1.0 | 0.122459 | | 3 | 2.0 | 0.231059 | | 4 | 3.0 | 0.317574 | | 5 | 4.0 | 0.380797 | | 6 | 5.0 | 0.424142 | | 7 | 6.0 | 0.452574 | | 8 | 7.0 | 0.470688 | | 9 | 8.0 | 0.482014 | | 10 | 9.0 | 0.489013 | For more realistic approximations of measured relationships between water level and volume, larger neural networks are required. """

    con = self.parameters.control.fastaccess
    new = self.sequences.states.fastaccess_new
    aid = self.sequences.aides.fastaccess
    con.watervolume2waterlevel.inputs[0] = new.watervolume
    con.watervolume2waterlevel.process_actual_input()
    aid.waterlevel = con.watervolume2waterlevel.outputs[0]