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FA-59776 / Subscription proration billing / Open access

Ratable monthly schedule of a prepaid term: cumulative remainder allocation · case 01

Monthly schedule parts do not add up to the invoiced amount.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Each month is floored independently instead of taking the increase of the cumulative floor.

VERIFIED REPAIR

Restore the contract rule at the cumulative remainder allocation step: use `part = x['amount'] * acc_days // total - acc`.

Unsuccessful approach: The attempt rounds each month half-up, which can still over- or under-shoot the total.

Case 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.

Why this case matters

Prepaid subscriptions are recognized day-by-day, and per-month rounding must not leak or create cents.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import datetime
import calendar
N = 1
observations = []
def solve(x):
    s = datetime.date(*x['start'])
    e = datetime.date(*x['end'])
    total = (e - s).days
    out = []
    cur = s
    acc = 0
    acc_days = 0
    while cur < e:
        nm = datetime.date(cur.year + (cur.month == 12), cur.month % 12 + 1, 1)
        seg_end = min(nm, e)
        days = (seg_end - cur).days
        acc_days += days
        part = x['amount'] * days // total
        acc += part
        out.append([cur.strftime('%Y-%m'), part])
        cur = seg_end
    return out
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('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]])]]
for i, (label, args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (label, i), solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
regression 0[['2024-09', 42], ['2024-10', 56]][['2024-09', 42], ['2024-10', 57]]Failed
regression 1[['2025-01', 11], ['2025-02', 19], ['2025-03', 21], ['2025-04', 20], ['2025-05', 21], ['2025-06', 4]][['2025-01', 11], ['2025-02', 19], ['2025-03', 22], ['2025-04', 21], ['2025-05', 21], ['2025-06', 5]]Failed
partial-repair probe 2[['2023-06', 8], ['2023-07', 27], ['2023-08', 27], ['2023-09', 26], ['2023-10', 8]][['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]Failed
partial-repair probe 3[['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 1]][['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]]Failed
normal control 4[['2023-02', 900], ['2023-03', 100]][['2023-02', 900], ['2023-03', 100]]Passed
normal control 5[['2024-12', 59950], ['2025-01', 59950]][['2024-12', 59950], ['2025-01', 59950]]Passed
normal control 6[['2023-09', 800], ['2023-10', 200]][['2023-09', 800], ['2023-10', 200]]Passed
normal control 7[['2023-12', 83930], ['2024-01', 35970]][['2023-12', 83930], ['2024-01', 35970]]Passed

SHA-256 / 87beda7e59e0e696271ae0687790f721049d57fe1940b25c6d612a284d46f034

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import datetime
import calendar
N = 1
observations = []
def solve(x):
    s = datetime.date(*x['start'])
    e = datetime.date(*x['end'])
    total = (e - s).days
    out = []
    cur = s
    acc = 0
    acc_days = 0
    while cur < e:
        nm = datetime.date(cur.year + (cur.month == 12), cur.month % 12 + 1, 1)
        seg_end = min(nm, e)
        days = (seg_end - cur).days
        acc_days += days
        part = (x['amount'] * days * 2 + total) // (2 * total)
        acc += part
        out.append([cur.strftime('%Y-%m'), part])
        cur = seg_end
    return out
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('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]])]]
for i, (label, args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (label, i), solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
regression 0[['2024-09', 43], ['2024-10', 56]][['2024-09', 42], ['2024-10', 57]]Failed
regression 1[['2025-01', 11], ['2025-02', 20], ['2025-03', 22], ['2025-04', 21], ['2025-05', 22], ['2025-06', 4]][['2025-01', 11], ['2025-02', 19], ['2025-03', 22], ['2025-04', 21], ['2025-05', 21], ['2025-06', 5]]Failed
partial-repair probe 2[['2023-06', 9], ['2023-07', 28], ['2023-08', 28], ['2023-09', 27], ['2023-10', 8]][['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]Failed
partial-repair probe 3[['2025-02', 31], ['2025-03', 34], ['2025-04', 33], ['2025-05', 1]][['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]]Failed
normal control 4[['2023-02', 900], ['2023-03', 100]][['2023-02', 900], ['2023-03', 100]]Passed
normal control 5[['2024-12', 59950], ['2025-01', 59950]][['2024-12', 59950], ['2025-01', 59950]]Passed
normal control 6[['2023-09', 800], ['2023-10', 200]][['2023-09', 800], ['2023-10', 200]]Passed
normal control 7[['2023-12', 83930], ['2024-01', 35970]][['2023-12', 83930], ['2024-01', 35970]]Passed

SHA-256 / 0410dbda8a3b1f527826b18f81b73f531d43264f8ab2b4600cb7de51b730a8fd

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json
import datetime
import calendar
N = 1
observations = []
def solve(x):
    s = datetime.date(*x['start'])
    e = datetime.date(*x['end'])
    total = (e - s).days
    out = []
    cur = s
    acc = 0
    acc_days = 0
    while cur < e:
        nm = datetime.date(cur.year + (cur.month == 12), cur.month % 12 + 1, 1)
        seg_end = min(nm, e)
        days = (seg_end - cur).days
        acc_days += days
        part = x['amount'] * acc_days // total - acc
        acc += part
        out.append([cur.strftime('%Y-%m'), part])
        cur = seg_end
    return out
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('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]])]]
for i, (label, args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (label, i), solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
regression 0[['2024-09', 42], ['2024-10', 57]][['2024-09', 42], ['2024-10', 57]]Passed
regression 1[['2025-01', 11], ['2025-02', 19], ['2025-03', 22], ['2025-04', 21], ['2025-05', 21], ['2025-06', 5]][['2025-01', 11], ['2025-02', 19], ['2025-03', 22], ['2025-04', 21], ['2025-05', 21], ['2025-06', 5]]Passed
partial-repair probe 2[['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]][['2023-06', 8], ['2023-07', 28], ['2023-08', 28], ['2023-09', 26], ['2023-10', 9]]Passed
partial-repair probe 3[['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]][['2025-02', 30], ['2025-03', 34], ['2025-04', 33], ['2025-05', 2]]Passed
normal control 4[['2023-02', 900], ['2023-03', 100]][['2023-02', 900], ['2023-03', 100]]Passed
normal control 5[['2024-12', 59950], ['2025-01', 59950]][['2024-12', 59950], ['2025-01', 59950]]Passed
normal control 6[['2023-09', 800], ['2023-10', 200]][['2023-09', 800], ['2023-10', 200]]Passed
normal control 7[['2023-12', 83930], ['2024-01', 35970]][['2023-12', 83930], ['2024-01', 35970]]Passed

SHA-256 / 2d37514c687bdbb27d1770442e1bf51f0157e69af50eb0ba011e1cd1fd066bc6

Verification & scope

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.

Observations recorded using Python 3.12.14 at 2026-09-29T14:46:39.493219+00:00.

Case digest / 48457c67a4e8e61019c47f7d92a8ffb1ee5be9845af6e1c8514dcf1b2ba8e104