Command Line Reference

The CLI is a thin wrapper over the Python APIs. Commands:

• version — print the package version.

• open-loop — solve the open-loop harvest-scheduling LP (Model I) on a landbase (Phase 1).

• replan-run — run the sequential-replanning simulator and report the dynamic-inconsistency metrics (Phase 3).

• consistency-run — the consistent-solution construct (documented; post-v0.1.0a1).

open-loop

fresh-daugherty open-loop \
  --landbase 1 --horizon 15 --discount-rate 0.04 --flow-tolerance 0.05 \
  --out-dir outputs/open_loop

Options:

• --landbase — initial forest condition (1-18; 1 = all mature).

• --horizon — number of 10-year periods (default 15 = 150 years).

• --discount-rate — PNV discount rate (default 0.04, the thesis value).

• --flow-tolerance — even-flow band half-width (default 0.05).

• --out-dir — where to write the model and the per-period results CSV.

replan-run

fresh-daugherty replan-run \
  --landbase 1 --horizon 15 --discount-rate 0.04 --flow-tolerance 0.05 \
  --out-dir outputs/replan

Runs the sequential-replanning simulator (re-solve from the realized state each period) and reports the inconsistency metrics: the mean absolute relative deviation between the open-loop projection and the realized replanned trajectory, and the total-volume change. Options match open-loop.

The experiment grid (inconsistency occurrence/magnitude across landbases, discount rates, and harvest-flow policies) is available from the Python API (fresh_daugherty.experiments.run_experiment_grid); see Quickstart.