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Review findings on PR #1527: - The objective is required (no sap_rating default) on _repair_to_target, _best_repair_candidate and _rescored_groups: every caller already passes it, and a default would let a future call path silently optimise SAP for a carbon/bill goal while pyright stayed green. The default stays on the public optimise_package / optimise_package_fabric_first entry points. - _best_repair_candidate hoists objective(current) out of the candidate loop: current is loop-invariant, so for the Energy-Savings bill objective this was one full BillDerivation.derive per candidate per repair iteration for the same score. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> |
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| .. | ||
| generators | ||
| optimisation | ||
| scoring | ||
| __init__.py | ||
| ashp_rates.json | ||
| considered_measures.py | ||
| contingencies.py | ||
| heating_rates.json | ||
| measure_type.py | ||
| plan.py | ||
| portfolio_goal.py | ||
| product.py | ||
| products.py | ||
| recommendation.py | ||
| scenario.py | ||
| simulation.py | ||
| solar_potential.py | ||
| solar_rates.json | ||
| valuation.py | ||