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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_logout_v1(self):
 """Refresh the log sequence for the different AR processes. Required derived parameters: |Nmb| |AR_Order| Required flux sequence: |QPOut| Updated log sequence: |LogOut| Example: Assume there are four response functions, involving zero, one, two and three AR coefficients respectively: The "memory values" of the different AR processes are defined as follows (one row for each process). Note the special case of the first AR process of zero order (first row), which is why there are no autoregressive memory values required: These are the new outflow discharge portions to be included into the memories of the different processes: Through applying method |calc_logout_v1| all values already existing are shifted to the right ("into the past"). Values, which are no longer required due to the limited order or the different AR processes, are discarded. The new values are inserted in the first column: logout([[nan, nan, nan], [7.0, nan, nan], [8.0, 1.0, nan], [9.0, 3.0, 4.0]]) """

    der = self.parameters.derived.fastaccess
    flu = self.sequences.fluxes.fastaccess
    log = self.sequences.logs.fastaccess
    for idx in range(der.nmb):
        for jdx in range(der.ar_order[idx]-2, -1, -1):
            log.logout[idx, jdx+1] = log.logout[idx, jdx]
    for idx in range(der.nmb):
        if der.ar_order[idx] > 0:
            log.logout[idx, 0] = flu.qpout[idx]