1{2 "P0": {3 "status": "passed",4 "checks": [5 "TASK.md read fully",6 "contract.md written"7 ],8 "notes": ""9 },10 "P1": {11 "status": "passed",12 "checks": [13 "SHA-256 match README for both csv",14 "row counts 127/381",15 "no duplicates, no date gaps",16 "quarterly recomputed from monthly: max diff 3.3e-7",17 "inflation recomputed: max diff 3.3e-6",18 "exclusion ledger written"19 ],20 "notes": "no availability violations in inputs; enforced in code"21 },22 "P2": {23 "status": "passed",24 "checks": [25 "seasonal-naive forecasts and RMSE/MAE computed with same evaluation rule (keys *_snaive_*)"26 ],27 "notes": "baseline computed inside analysis.py"28 },29 "P3": {30 "status": "passed",31 "checks": [32 "analysis.py reads only data/, writes results.json+forecasts.csv",33 "no randomness (random_seed null)"34 ],35 "notes": "direct seasonal-dummy AR, BIC p in 0..4; HAC Bartlett L=4"36 },37 "P4": {38 "status": "passed",39 "checks": [40 "clean re-run: identical SHA-256 of results.json and forecasts.csv",41 "16 consistency checks all PASS (see checks.md)"42 ],43 "notes": "DM lag sensitivity recorded"44 },45 "P5": {46 "status": "passed",47 "checks": [48 "report.md has 6 required sections with results keys cited",49 "claims.json valid JSON, 4 claims, all report claims covered",50 "numbers in report match results.json (rounded)"51 ],52 "notes": ""53 }54}