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a9632937d5
Table 5 reads "Number of extract fans if known; if number is unknown: [age-band default]" — the default is an UNKNOWN-fallback, NOT a floor. The cascade applied `max(lodged, table_5_default)`, flooring a genuinely-lodged count up to the age-band minimum: e.g. an age H-M dwelling lodging 2 extract fans was billed at the 6-8-room default of 3, over-counting ventilation line (8) and the heat-loss coefficient. Fixed to `lodged if lodged > 0 else default` (a lodged 0 is the Elmhurst/RdSAP "unknown" form → default; any positive count is taken literally). Surfaced by Khalim's Elmhurst stress worksheet (simulated case 46): this was its last ventilation residual — our Jan effective ACH 9.14 -> 9.0748 (exact match to the accredited worksheet), SAP 29 -> 30 = Elmhurst, cost £1496 vs £1493. Corpus IMPROVED: within-0.5 71.6% -> 72.5%, MAE 0.819 -> 0.815 (the max-flooring over-counted ventilation on every cert lodging fans below its age default). Floor ratcheted 0.71 -> 0.72. pyright not installed locally. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| .. | ||
| addresses | ||
| billing | ||
| data_transformation | ||
| epc | ||
| epc_prediction | ||
| fuel_rates | ||
| geospatial | ||
| magicplan | ||
| modelling | ||
| property | ||
| property_baseline | ||
| sap10_calculator | ||
| sap10_ml | ||
| tasks | ||
| building_geometry.py | ||
| postcode.py | ||