{"abstract":"Monthly schedule parts do not add up to the invoiced amount.","category":"Subscription proration billing","checks":8,"contract":"Input {amount, start, end (exclusive)}. The amount is spread by days across calendar months. The cumulative amount through each month is floor(amount*cumulative_days/total_days), and each month gets the increase, so the parts sum exactly to amount. Return [[\"YYYY-MM\", cents]] for each month touched.","contract_signature":"x","evaluation_group":"w2-subscription-proration-ratable-monthly-schedule","failed_approach":"The attempt rounds each month half-up, which can still over- or under-shoot the total.","family":"w2-subscription-proration-ratable-monthly-schedule-cumulative-remainder-allocation","id":"FA-59776","implementations":{"attempt":{"sha256":"0410dbda8a3b1f527826b18f81b73f531d43264f8ab2b4600cb7de51b730a8fd","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport datetime\nimport calendar\nN = 1\nobservations = []\ndef solve(x):\n    s = datetime.date(*x['start'])\n    e = datetime.date(*x['end'])\n    total = (e - s).days\n    out = []\n    cur = s\n    acc = 0\n    acc_days = 0\n    while cur < e:\n        nm = datetime.date(cur.year + (cur.month == 12), cur.month % 12 + 1, 1)\n        seg_end = min(nm, e)\n        days = (seg_end - cur).days\n        acc_days += days\n        part = (x['amount'] * days * 2 + total) // (2 * total)\n        acc += part\n        out.append([cur.strftime('%Y-%m'), part])\n        cur = seg_end\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'amount': 99, 'start': [2024, 9, 18], 'end': [2024, 10, 18]}, [['2024-09', 42], ['2024-10', 57]]), ('regression', {'amount': 99, 'start': [2025, 1, 16], 'end': [2025, 6, 7]}, [['2025-01', 11], ['2025-02', 19], ['2025-03', 22], ['2025-04', 21], ['2025-05', 21], ['2025-06', 5]]), ('partial-repair probe', {'amount': 99, 'start': [2023, 6, 21], 'end': [2023, 10, 10]}, [['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]), ('partial-repair probe', {'amount': 99, 'start': [2025, 2, 1], 'end': [2025, 5, 2]}, [['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]]), ('normal control', {'amount': 1000, 'start': [2023, 2, 2], 'end': [2023, 3, 4]}, [['2023-02', 900], ['2023-03', 100]]), ('normal control', {'amount': 119900, 'start': [2024, 12, 17], 'end': [2025, 1, 16]}, [['2024-12', 59950], ['2025-01', 59950]]), ('normal control', {'amount': 1000, 'start': [2023, 9, 7], 'end': [2023, 10, 7]}, [['2023-09', 800], ['2023-10', 200]]), ('normal control', {'amount': 119900, 'start': [2023, 12, 11], 'end': [2024, 1, 10]}, [['2023-12', 83930], ['2024-01', 35970]])], [('regression', {'amount': 99, 'start': [2025, 1, 16], 'end': [2025, 6, 7]}, [['2025-01', 11], ['2025-02', 19], ['2025-03', 22], ['2025-04', 21], ['2025-05', 21], ['2025-06', 5]]), ('regression', {'amount': 771300, 'start': [2023, 1, 27], 'end': [2023, 2, 27]}, [['2023-01', 124403], ['2023-02', 646897]]), ('partial-repair probe', {'amount': 99, 'start': [2023, 6, 21], 'end': [2023, 10, 10]}, [['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]), ('partial-repair probe', {'amount': 99, 'start': [2025, 2, 1], 'end': [2025, 5, 2]}, [['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]]), ('normal control', {'amount': 119900, 'start': [2023, 10, 25], 'end': [2024, 6, 1]}, [['2023-10', 3815], ['2023-11', 16350], ['2023-12', 16895], ['2024-01', 16895], ['2024-02', 15805], ['2024-03', 16895], ['2024-04', 16350], ['2024-05', 16895]]), ('normal control', {'amount': 119900, 'start': [2023, 10, 2], 'end': [2023, 11, 1]}, [['2023-10', 119900]]), ('normal control', {'amount': 2702, 'start': [2024, 7, 1], 'end': [2024, 8, 1]}, [['2024-07', 2702]]), ('normal control', {'amount': 119900, 'start': [2023, 7, 14], 'end': [2023, 8, 13]}, [['2023-07', 71940], ['2023-08', 47960]])], [('regression', {'amount': 99, 'start': [2023, 6, 21], 'end': [2023, 10, 10]}, [['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]), ('regression', {'amount': 771300, 'start': [2023, 1, 27], 'end': [2023, 2, 27]}, [['2023-01', 124403], ['2023-02', 646897]]), ('partial-repair probe', {'amount': 1000, 'start': [2024, 7, 15], 'end': [2025, 7, 16]}, [['2024-07', 46], ['2024-08', 85], ['2024-09', 82], ['2024-10', 84], ['2024-11', 82], ['2024-12', 85], ['2025-01', 85], ['2025-02', 76], ['2025-03', 85], ['2025-04', 82], ['2025-05', 85], ['2025-06', 82], ['2025-07', 41]]), ('partial-repair probe', {'amount': 1000, 'start': [2024, 12, 7], 'end': [2025, 12, 8]}, [['2024-12', 68], ['2025-01', 85], ['2025-02', 76], ['2025-03', 85], ['2025-04', 82], ['2025-05', 84], ['2025-06', 82], ['2025-07', 85], ['2025-08', 85], ['2025-09', 82], ['2025-10', 84], ['2025-11', 82], ['2025-12', 20]]), ('normal control', {'amount': 1000, 'start': [2025, 2, 8], 'end': [2025, 2, 21]}, [['2025-02', 1000]]), ('normal control', {'amount': 119900, 'start': [2024, 12, 3], 'end': [2024, 12, 27]}, [['2024-12', 119900]]), ('normal control', {'amount': 99, 'start': [2024, 2, 10], 'end': [2024, 3, 11]}, [['2024-02', 66], ['2024-03', 33]]), ('normal control', {'amount': 119900, 'start': [2024, 9, 4], 'end': [2024, 10, 4]}, [['2024-09', 107910], ['2024-10', 11990]])], [('regression', {'amount': 99, 'start': [2025, 2, 1], 'end': [2025, 5, 2]}, [['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]]), ('regression', {'amount': 99, 'start': [2025, 2, 8], 'end': [2025, 5, 9]}, [['2025-02', 23], ['2025-03', 34], ['2025-04', 33], ['2025-05', 9]]), ('partial-repair probe', {'amount': 119900, 'start': [2024, 11, 19], 'end': [2025, 2, 17]}, [['2024-11', 15986], ['2024-12', 41299], ['2025-01', 41299], ['2025-02', 21316]]), ('partial-repair probe', {'amount': 778345, 'start': [2023, 9, 19], 'end': [2023, 10, 20]}, [['2023-09', 301294], ['2023-10', 477051]]), ('normal control', {'amount': 1000, 'start': [2024, 3, 2], 'end': [2024, 4, 1]}, [['2024-03', 1000]]), ('normal control', {'amount': 851526, 'start': [2024, 8, 2], 'end': [2024, 10, 31]}, [['2024-08', 283842], ['2024-09', 283842], ['2024-10', 283842]]), ('normal control', {'amount': 1000, 'start': [2025, 1, 29], 'end': [2025, 2, 28]}, [['2025-01', 100], ['2025-02', 900]]), ('normal control', {'amount': 1000, 'start': [2023, 11, 28], 'end': [2023, 12, 28]}, [['2023-11', 100], ['2023-12', 900]])], [('regression', {'amount': 1000, 'start': [2024, 7, 15], 'end': [2025, 7, 16]}, [['2024-07', 46], ['2024-08', 85], ['2024-09', 82], ['2024-10', 84], ['2024-11', 82], ['2024-12', 85], ['2025-01', 85], ['2025-02', 76], ['2025-03', 85], ['2025-04', 82], ['2025-05', 85], ['2025-06', 82], ['2025-07', 41]]), ('regression', {'amount': 99, 'start': [2023, 6, 21], 'end': [2023, 10, 10]}, [['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]), ('partial-repair probe', {'amount': 119900, 'start': [2024, 6, 19], 'end': [2024, 7, 20]}, [['2024-06', 46412], ['2024-07', 73488]]), ('partial-repair probe', {'amount': 795575, 'start': [2023, 3, 21], 'end': [2023, 11, 20]}, [['2023-03', 35866], ['2023-04', 97816], ['2023-05', 101077], ['2023-06', 97817], ['2023-07', 101077], ['2023-08', 101077], ['2023-09', 97817], ['2023-10', 101077], ['2023-11', 61951]]), ('normal control', {'amount': 1000, 'start': [2023, 2, 26], 'end': [2023, 3, 28]}, [['2023-02', 100], ['2023-03', 900]]), ('normal control', {'amount': 119900, 'start': [2023, 12, 20], 'end': [2024, 1, 19]}, [['2023-12', 47960], ['2024-01', 71940]]), ('normal control', {'amount': 119900, 'start': [2023, 9, 5], 'end': [2023, 9, 6]}, [['2023-09', 119900]]), ('normal control', {'amount': 119900, 'start': [2024, 4, 13], 'end': [2024, 5, 13]}, [['2024-04', 71940], ['2024-05', 47960]])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, i), solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"87beda7e59e0e696271ae0687790f721049d57fe1940b25c6d612a284d46f034","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport datetime\nimport calendar\nN = 1\nobservations = []\ndef solve(x):\n    s = datetime.date(*x['start'])\n    e = datetime.date(*x['end'])\n    total = (e - s).days\n    out = []\n    cur = s\n    acc = 0\n    acc_days = 0\n    while cur < e:\n        nm = datetime.date(cur.year + (cur.month == 12), cur.month % 12 + 1, 1)\n        seg_end = min(nm, e)\n        days = (seg_end - cur).days\n        acc_days += days\n        part = x['amount'] * days // total\n        acc += part\n        out.append([cur.strftime('%Y-%m'), part])\n        cur = seg_end\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'amount': 99, 'start': [2024, 9, 18], 'end': [2024, 10, 18]}, [['2024-09', 42], ['2024-10', 57]]), ('regression', {'amount': 99, 'start': [2025, 1, 16], 'end': [2025, 6, 7]}, [['2025-01', 11], ['2025-02', 19], ['2025-03', 22], ['2025-04', 21], ['2025-05', 21], ['2025-06', 5]]), ('partial-repair probe', {'amount': 99, 'start': [2023, 6, 21], 'end': [2023, 10, 10]}, [['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]), ('partial-repair probe', {'amount': 99, 'start': [2025, 2, 1], 'end': [2025, 5, 2]}, [['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]]), ('normal control', {'amount': 1000, 'start': [2023, 2, 2], 'end': [2023, 3, 4]}, [['2023-02', 900], ['2023-03', 100]]), ('normal control', {'amount': 119900, 'start': [2024, 12, 17], 'end': [2025, 1, 16]}, [['2024-12', 59950], ['2025-01', 59950]]), ('normal control', {'amount': 1000, 'start': [2023, 9, 7], 'end': [2023, 10, 7]}, [['2023-09', 800], ['2023-10', 200]]), ('normal control', {'amount': 119900, 'start': [2023, 12, 11], 'end': [2024, 1, 10]}, [['2023-12', 83930], ['2024-01', 35970]])], [('regression', {'amount': 99, 'start': [2025, 1, 16], 'end': [2025, 6, 7]}, [['2025-01', 11], ['2025-02', 19], ['2025-03', 22], ['2025-04', 21], ['2025-05', 21], ['2025-06', 5]]), ('regression', {'amount': 771300, 'start': [2023, 1, 27], 'end': [2023, 2, 27]}, [['2023-01', 124403], ['2023-02', 646897]]), ('partial-repair probe', {'amount': 99, 'start': [2023, 6, 21], 'end': [2023, 10, 10]}, [['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]), ('partial-repair probe', {'amount': 99, 'start': [2025, 2, 1], 'end': [2025, 5, 2]}, [['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]]), ('normal control', {'amount': 119900, 'start': [2023, 10, 25], 'end': [2024, 6, 1]}, [['2023-10', 3815], ['2023-11', 16350], ['2023-12', 16895], ['2024-01', 16895], ['2024-02', 15805], ['2024-03', 16895], ['2024-04', 16350], ['2024-05', 16895]]), ('normal control', {'amount': 119900, 'start': [2023, 10, 2], 'end': [2023, 11, 1]}, [['2023-10', 119900]]), ('normal control', {'amount': 2702, 'start': [2024, 7, 1], 'end': [2024, 8, 1]}, [['2024-07', 2702]]), ('normal control', {'amount': 119900, 'start': [2023, 7, 14], 'end': [2023, 8, 13]}, [['2023-07', 71940], ['2023-08', 47960]])], [('regression', {'amount': 99, 'start': [2023, 6, 21], 'end': [2023, 10, 10]}, [['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]), ('regression', {'amount': 771300, 'start': [2023, 1, 27], 'end': [2023, 2, 27]}, [['2023-01', 124403], ['2023-02', 646897]]), ('partial-repair probe', {'amount': 1000, 'start': [2024, 7, 15], 'end': [2025, 7, 16]}, [['2024-07', 46], ['2024-08', 85], ['2024-09', 82], ['2024-10', 84], ['2024-11', 82], ['2024-12', 85], ['2025-01', 85], ['2025-02', 76], ['2025-03', 85], ['2025-04', 82], ['2025-05', 85], ['2025-06', 82], ['2025-07', 41]]), ('partial-repair probe', {'amount': 1000, 'start': [2024, 12, 7], 'end': [2025, 12, 8]}, [['2024-12', 68], ['2025-01', 85], ['2025-02', 76], ['2025-03', 85], ['2025-04', 82], ['2025-05', 84], ['2025-06', 82], ['2025-07', 85], ['2025-08', 85], ['2025-09', 82], ['2025-10', 84], ['2025-11', 82], ['2025-12', 20]]), ('normal control', {'amount': 1000, 'start': [2025, 2, 8], 'end': [2025, 2, 21]}, [['2025-02', 1000]]), ('normal control', {'amount': 119900, 'start': [2024, 12, 3], 'end': [2024, 12, 27]}, [['2024-12', 119900]]), ('normal control', {'amount': 99, 'start': [2024, 2, 10], 'end': [2024, 3, 11]}, [['2024-02', 66], ['2024-03', 33]]), ('normal control', {'amount': 119900, 'start': [2024, 9, 4], 'end': [2024, 10, 4]}, [['2024-09', 107910], ['2024-10', 11990]])], [('regression', {'amount': 99, 'start': [2025, 2, 1], 'end': [2025, 5, 2]}, [['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]]), ('regression', {'amount': 99, 'start': [2025, 2, 8], 'end': [2025, 5, 9]}, [['2025-02', 23], ['2025-03', 34], ['2025-04', 33], ['2025-05', 9]]), ('partial-repair probe', {'amount': 119900, 'start': [2024, 11, 19], 'end': [2025, 2, 17]}, [['2024-11', 15986], ['2024-12', 41299], ['2025-01', 41299], ['2025-02', 21316]]), ('partial-repair probe', {'amount': 778345, 'start': [2023, 9, 19], 'end': [2023, 10, 20]}, [['2023-09', 301294], ['2023-10', 477051]]), ('normal control', {'amount': 1000, 'start': [2024, 3, 2], 'end': [2024, 4, 1]}, [['2024-03', 1000]]), ('normal control', {'amount': 851526, 'start': [2024, 8, 2], 'end': [2024, 10, 31]}, [['2024-08', 283842], ['2024-09', 283842], ['2024-10', 283842]]), ('normal control', {'amount': 1000, 'start': [2025, 1, 29], 'end': [2025, 2, 28]}, [['2025-01', 100], ['2025-02', 900]]), ('normal control', {'amount': 1000, 'start': [2023, 11, 28], 'end': [2023, 12, 28]}, [['2023-11', 100], ['2023-12', 900]])], [('regression', {'amount': 1000, 'start': [2024, 7, 15], 'end': [2025, 7, 16]}, [['2024-07', 46], ['2024-08', 85], ['2024-09', 82], ['2024-10', 84], ['2024-11', 82], ['2024-12', 85], ['2025-01', 85], ['2025-02', 76], ['2025-03', 85], ['2025-04', 82], ['2025-05', 85], ['2025-06', 82], ['2025-07', 41]]), ('regression', {'amount': 99, 'start': [2023, 6, 21], 'end': [2023, 10, 10]}, [['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]), ('partial-repair probe', {'amount': 119900, 'start': [2024, 6, 19], 'end': [2024, 7, 20]}, [['2024-06', 46412], ['2024-07', 73488]]), ('partial-repair probe', {'amount': 795575, 'start': [2023, 3, 21], 'end': [2023, 11, 20]}, [['2023-03', 35866], ['2023-04', 97816], ['2023-05', 101077], ['2023-06', 97817], ['2023-07', 101077], ['2023-08', 101077], ['2023-09', 97817], ['2023-10', 101077], ['2023-11', 61951]]), ('normal control', {'amount': 1000, 'start': [2023, 2, 26], 'end': [2023, 3, 28]}, [['2023-02', 100], ['2023-03', 900]]), ('normal control', {'amount': 119900, 'start': [2023, 12, 20], 'end': [2024, 1, 19]}, [['2023-12', 47960], ['2024-01', 71940]]), ('normal control', {'amount': 119900, 'start': [2023, 9, 5], 'end': [2023, 9, 6]}, [['2023-09', 119900]]), ('normal control', {'amount': 119900, 'start': [2024, 4, 13], 'end': [2024, 5, 13]}, [['2024-04', 71940], ['2024-05', 47960]])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, i), solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"A deterministic teaching model of a stipulated billing rule. It makes no claim to reproduce any billing provider's exact behaviour and is not billing software. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"w2-subscription-proration-ratable-monthly-schedule-cumulative-remainder-allocation","generated_at":"2026-09-29T14:46:39.493219+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Prepaid subscriptions are recognized day-by-day, and per-month rounding must not leak or create cents.","root_cause":"Each month is floored independently instead of taking the increase of the cumulative floor.","sha256":"0ef0c751ae969a334c7abba77715bc03a37a31c92bdcf2d5586514a46cd3f4d2","title":"Ratable monthly schedule of a prepaid term: cumulative remainder allocation · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":42.849,"exit_code":1,"observations":[{"actual":[["2024-09",43],["2024-10",56]],"check":"regression 0","expected":[["2024-09",42],["2024-10",57]],"passed":false},{"actual":[["2025-01",11],["2025-02",20],["2025-03",22],["2025-04",21],["2025-05",22],["2025-06",4]],"check":"regression 1","expected":[["2025-01",11],["2025-02",19],["2025-03",22],["2025-04",21],["2025-05",21],["2025-06",5]],"passed":false},{"actual":[["2023-06",9],["2023-07",28],["2023-08",28],["2023-09",27],["2023-10",8]],"check":"partial-repair probe 2","expected":[["2023-06",8],["2023-07",28],["2023-08",28],["2023-09",26],["2023-10",9]],"passed":false},{"actual":[["2025-02",31],["2025-03",34],["2025-04",33],["2025-05",1]],"check":"partial-repair probe 3","expected":[["2025-02",30],["2025-03",34],["2025-04",33],["2025-05",2]],"passed":false},{"actual":[["2023-02",900],["2023-03",100]],"check":"normal control 4","expected":[["2023-02",900],["2023-03",100]],"passed":true},{"actual":[["2024-12",59950],["2025-01",59950]],"check":"normal control 5","expected":[["2024-12",59950],["2025-01",59950]],"passed":true},{"actual":[["2023-09",800],["2023-10",200]],"check":"normal control 6","expected":[["2023-09",800],["2023-10",200]],"passed":true},{"actual":[["2023-12",83930],["2024-01",35970]],"check":"normal control 7","expected":[["2023-12",83930],["2024-01",35970]],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [[\"2024-09\", 43], [\"2024-10\", 56]], \"expected\": [[\"2024-09\", 42], [\"2024-10\", 57]], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [[\"2025-01\", 11], [\"2025-02\", 20], [\"2025-03\", 22], [\"2025-04\", 21], [\"2025-05\", 22], [\"2025-06\", 4]], \"expected\": [[\"2025-01\", 11], [\"2025-02\", 19], [\"2025-03\", 22], [\"2025-04\", 21], [\"2025-05\", 21], [\"2025-06\", 5]], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [[\"2023-06\", 9], [\"2023-07\", 28], [\"2023-08\", 28], [\"2023-09\", 27], [\"2023-10\", 8]], \"expected\": [[\"2023-06\", 8], [\"2023-07\", 28], [\"2023-08\", 28], [\"2023-09\", 26], [\"2023-10\", 9]], \"passed\": false}, {\"check\": \"partial-repair probe 3\", \"actual\": [[\"2025-02\", 31], [\"2025-03\", 34], [\"2025-04\", 33], [\"2025-05\", 1]], \"expected\": [[\"2025-02\", 30], [\"2025-03\", 34], [\"2025-04\", 33], [\"2025-05\", 2]], \"passed\": false}, {\"check\": \"normal control 4\", \"actual\": [[\"2023-02\", 900], [\"2023-03\", 100]], \"expected\": [[\"2023-02\", 900], [\"2023-03\", 100]], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [[\"2024-12\", 59950], [\"2025-01\", 59950]], \"expected\": [[\"2024-12\", 59950], [\"2025-01\", 59950]], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [[\"2023-09\", 800], [\"2023-10\", 200]], \"expected\": [[\"2023-09\", 800], [\"2023-10\", 200]], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [[\"2023-12\", 83930], [\"2024-01\", 35970]], \"expected\": [[\"2023-12\", 83930], [\"2024-01\", 35970]], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":44.503,"exit_code":1,"observations":[{"actual":[["2024-09",42],["2024-10",56]],"check":"regression 0","expected":[["2024-09",42],["2024-10",57]],"passed":false},{"actual":[["2025-01",11],["2025-02",19],["2025-03",21],["2025-04",20],["2025-05",21],["2025-06",4]],"check":"regression 1","expected":[["2025-01",11],["2025-02",19],["2025-03",22],["2025-04",21],["2025-05",21],["2025-06",5]],"passed":false},{"actual":[["2023-06",8],["2023-07",27],["2023-08",27],["2023-09",26],["2023-10",8]],"check":"partial-repair probe 2","expected":[["2023-06",8],["2023-07",28],["2023-08",28],["2023-09",26],["2023-10",9]],"passed":false},{"actual":[["2025-02",30],["2025-03",34],["2025-04",33],["2025-05",1]],"check":"partial-repair probe 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4]], \"expected\": [[\"2025-01\", 11], [\"2025-02\", 19], [\"2025-03\", 22], [\"2025-04\", 21], [\"2025-05\", 21], [\"2025-06\", 5]], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [[\"2023-06\", 8], [\"2023-07\", 27], [\"2023-08\", 27], [\"2023-09\", 26], [\"2023-10\", 8]], \"expected\": [[\"2023-06\", 8], [\"2023-07\", 28], [\"2023-08\", 28], [\"2023-09\", 26], [\"2023-10\", 9]], \"passed\": false}, {\"check\": \"partial-repair probe 3\", \"actual\": [[\"2025-02\", 30], [\"2025-03\", 34], [\"2025-04\", 33], [\"2025-05\", 1]], \"expected\": [[\"2025-02\", 30], [\"2025-03\", 34], [\"2025-04\", 33], [\"2025-05\", 2]], \"passed\": false}, {\"check\": \"normal control 4\", \"actual\": [[\"2023-02\", 900], [\"2023-03\", 100]], \"expected\": [[\"2023-02\", 900], [\"2023-03\", 100]], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [[\"2024-12\", 59950], [\"2025-01\", 59950]], \"expected\": [[\"2024-12\", 59950], [\"2025-01\", 59950]], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [[\"2023-09\", 800], [\"2023-10\", 200]], \"expected\": [[\"2023-09\", 800], [\"2023-10\", 200]], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [[\"2023-12\", 83930], [\"2024-01\", 35970]], \"expected\": [[\"2023-12\", 83930], [\"2024-01\", 35970]], \"passed\": true}], \"passed\": false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}