forlop.py now puts the backlog from the input file straight into the
model at the time the numbers apply, instead of letting the model build
it up itself (which reached at most 15 months and left larger backlogs
"ikke regnet"). It carries its own copy of the simulate_endo loop
(simuler, policies koord and sched) and checks on every run that the
copy matches sim.py bit for bit. sim.py and paper/data are untouched
(22/22 data files identical after a fresh run).
The example file gives the same numbers as before (+19 %, +12 %, 1,31;
8,3 / 0,74 / 1,10 / +31 % / 3,5; 68,7 / 0,65 / 1,26). A copy with
backlog 3000 now gives a course starting at 3 000 (+119 %). The course
is not computed when crime falls below 0,80 or police effort below 0,50
in the model while the backlog is cleared.
Independent review before commit: 8 findings, 7 fixed (the eighth is an
older column-width issue for seven-digit numbers).
Co-Authored-By: Claude Fable 5.2 <noreply@anthropic.com>
Kjell Tore Guttormsen
2badc25e51