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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_naturalremotedischarge_v1(self):
 """Try to estimate the natural discharge of a cross section far downstream based on the last few simulation steps. Required control parameter: |NmbLogEntries| Required log sequences: |LoggedTotalRemoteDischarge| |LoggedOutflow| Calculated flux sequence: |NaturalRemoteDischarge| Basic equation: :math:`RemoteDemand = max(\\frac{\\Sigma(LoggedTotalRemoteDischarge - LoggedOutflow)} {NmbLogEntries}), 0)` Examples: Usually, the mean total remote flow should be larger than the mean dam outflows. Then the estimated natural remote discharge is simply the difference of both mean values: naturalremotedischarge(1.0) Due to the wave travel times, the difference between remote discharge and dam outflow mights sometimes be negative. To avoid negative estimates of natural discharge, it its value is set to zero in such cases: naturalremotedischarge(0.0) """

    con = self.parameters.control.fastaccess
    flu = self.sequences.fluxes.fastaccess
    log = self.sequences.logs.fastaccess
    flu.naturalremotedischarge = 0.
    for idx in range(con.nmblogentries):
        flu.naturalremotedischarge += (
            log.loggedtotalremotedischarge[idx] - log.loggedoutflow[idx])
    if flu.naturalremotedischarge > 0.:
        flu.naturalremotedischarge /= con.nmblogentries
    else:
        flu.naturalremotedischarge = 0.