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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_remotefailure_v1(self):
 """Estimate the shortfall of actual discharge under the required discharge of a cross section far downstream. Required control parameters: |NmbLogEntries| |RemoteDischargeMinimum| Required derived parameters: |dam_derived.TOY| Required log sequence: |LoggedTotalRemoteDischarge| Calculated flux sequence: |RemoteFailure| Basic equation: :math:`RemoteFailure = \\frac{\\Sigma(LoggedTotalRemoteDischarge)}{NmbLogEntries} - RemoteDischargeMinimum` Examples: As explained in the documentation on method |calc_remotedemand_v1|, we have to define a simulation period first: Now we prepare a dam model with log sequences memorizing three values: Again, the required discharge is 2 m³/s in summer and 0 m³/s in winter: Let it be supposed that the actual discharge at the remote cross section droped from 2 m³/s to 0 m³/s over the last three days: This means that for the April 1 there would have been an averaged shortfall of 1 m³/s: remotefailure(1.0) Instead for May 31 there would have been an excess of 1 m³/s, which is interpreted to be a "negative failure": remotefailure(-1.0) """

    con = self.parameters.control.fastaccess
    der = self.parameters.derived.fastaccess
    flu = self.sequences.fluxes.fastaccess
    log = self.sequences.logs.fastaccess
    flu.remotefailure = 0
    for idx in range(con.nmblogentries):
        flu.remotefailure -= log.loggedtotalremotedischarge[idx]
    flu.remotefailure /= con.nmblogentries
    flu.remotefailure += con.remotedischargeminimum[der.toy[self.idx_sim]]