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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_remotedemand_v1(self):
 """Estimate the discharge demand of a cross section far downstream. Required control parameter: |RemoteDischargeMinimum| Required derived parameters: |dam_derived.TOY| Required flux sequence: |dam_derived.TOY| Calculated flux sequence: |RemoteDemand| Basic equation: :math:`RemoteDemand = max(RemoteDischargeMinimum - NaturalRemoteDischarge, 0` Examples: Low water elevation is often restricted to specific month of the year. Sometimes the pursued lowest discharge value varies over the year to allow for a low flow variability that is in some agreement with the natural flow regime. The HydPy-Dam model supports such variations. Hence we define a short simulation time period first. This enables us to show how the related parameters values can be defined and how the calculation of the `remote` water demand throughout the year actually works: Prepare the dam model: Assume the required discharge at a gauge downstream being 2 m³/s in the hydrological summer half-year (April to October). In the winter month (November to May), there is no such requirement: Prepare a test function, that calculates the remote discharge demand based on the parameter values defined above and for natural remote discharge values ranging between 0 and 3 m³/s: On April 1, the required discharge is 2 m³/s: | ex. | naturalremotedischarge | remotedemand | | 1 | 0.0 | 2.0 | | 2 | 1.0 | 1.0 | | 3 | 2.0 | 0.0 | | 4 | 3.0 | 0.0 | On May 31, the required discharge is 0 m³/s: | ex. | naturalremotedischarge | remotedemand | | 1 | 0.0 | 0.0 | | 2 | 1.0 | 0.0 | | 3 | 2.0 | 0.0 | | 4 | 3.0 | 0.0 | """

    con = self.parameters.control.fastaccess
    der = self.parameters.derived.fastaccess
    flu = self.sequences.fluxes.fastaccess
    flu.remotedemand = max(con.remotedischargeminimum[der.toy[self.idx_sim]] -
                           flu.naturalremotedischarge, 0.)