FA-59771 / Subscription proration billing / Open access

Expiring credit grants applied to invoices: future grants excluded · case 01

Credits scheduled for next month pay this month's invoice.

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

ROOT CAUSE

Grants are usable before their grant day.

VERIFIED REPAIR

Restore the contract rule at the future grants excluded step: use `usable = [g for g in x['grants'] if g[2] <= x['day'] < g[1]]`.

Unsuccessful approach: The attempt checks the grant precedes its expiry instead of the invoice day.

Case contract

Input {grants: [[amount, expires_day, granted_day]], day, amount}. A grant is usable when granted_day <= day < expires_day. Usable grants are consumed soonest-expiring first (ties by earlier grant day, then input order). Return [applied, remaining_due, [[left, expires] for partially used or untouched usable grants]].

Why this case matters

Promotional credits must be burned in expiry order and never after they expire.

1 / The failure

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    usable = [g for g in x['grants'] if x['day'] < g[1]]
    usable.sort(key=lambda g: (g[1], g[2]))
    need = x['amount']
    applied = 0
    rest = []
    for amt, exp, gd in usable:
        take = min(amt, need)
        need -= take
        applied += take
        if amt - take > 0:
            rest.append([amt - take, exp])
    return [applied, need, rest]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression', {'grants': [[1468, 59, 37], [2753, 34, 1], [3215, 49, 24]], 'day': 24, 'amount': 9315}, [5968, 3347, []]), ('regression', {'grants': [[2342, 62, 27], [2349, 64, 11], [3400, 5, 3], [4319, 29, 10]], 'day': 3, 'amount': 11699}, [3400, 8299, []]), ('partial-repair probe', {'grants': [[2784, 49, 29], [4250, 5, 2]], 'day': 5, 'amount': 6418}, [0, 6418, []]), ('partial-repair probe', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('normal control', {'grants': [[3819, 68, 16], [1930, 58, 26], [323, 59, 3], [2345, 29, 23], [2715, 44, 13]], 'day': 44, 'amount': 5792}, [5792, 0, [[280, 68]]]), ('normal control', {'grants': [[2773, 15, 9], [1310, 48, 23], [4052, 71, 20]], 'day': 23, 'amount': 8492}, [5362, 3130, []]), ('normal control', {'grants': [[4886, 68, 27]], 'day': 34, 'amount': 6459}, [4886, 1573, []]), ('normal control', {'grants': [[4933, 63, 40]], 'day': 63, 'amount': 7306}, [0, 7306, []])], [('regression', {'grants': [[2342, 62, 27], [2349, 64, 11], [3400, 5, 3], [4319, 29, 10]], 'day': 3, 'amount': 11699}, [3400, 8299, []]), ('regression', {'grants': [[2784, 49, 29], [4250, 5, 2]], 'day': 5, 'amount': 6418}, [0, 6418, []]), ('partial-repair probe', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('partial-repair probe', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('normal control', {'grants': [[4428, 38, 34], [4352, 38, 5], [1603, 11, 10]], 'day': 38, 'amount': 11185}, [0, 11185, []]), ('normal control', {'grants': [[1532, 36, 16], [3167, 81, 23]], 'day': 79, 'amount': 9179}, [3167, 6012, []]), ('normal control', {'grants': [[1721, 49, 40], [1723, 56, 3], [735, 16, 1]], 'day': 56, 'amount': 7084}, [0, 7084, []]), ('normal control', {'grants': [], 'day': 33, 'amount': 11076}, [0, 11076, []])], [('regression', {'grants': [[2784, 49, 29], [4250, 5, 2]], 'day': 5, 'amount': 6418}, [0, 6418, []]), ('regression', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('partial-repair probe', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('partial-repair probe', {'grants': [[348, 44, 22], [3151, 71, 29], [1829, 75, 25]], 'day': 22, 'amount': 1836}, [348, 1488, []]), ('normal control', {'grants': [[3257, 40, 31], [4520, 73, 40], [4293, 11, 10]], 'day': 40, 'amount': 1147}, [1147, 0, [[3373, 73]]]), ('normal control', {'grants': [], 'day': 50, 'amount': 6225}, [0, 6225, []]), ('normal control', {'grants': [[1585, 58, 15], [4019, 40, 15], [2113, 83, 26]], 'day': 83, 'amount': 3346}, [0, 3346, []]), ('normal control', {'grants': [[1988, 63, 35]], 'day': 58, 'amount': 4262}, [1988, 2274, []])], [('regression', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('regression', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('partial-repair probe', {'grants': [[1110, 34, 23], [3403, 54, 35], [4357, 61, 21], [1009, 33, 4], [1988, 42, 17]], 'day': 33, 'amount': 7737}, [7455, 282, []]), ('partial-repair probe', {'grants': [[3265, 3, 2], [961, 90, 30], [2437, 40, 28]], 'day': 3, 'amount': 6149}, [0, 6149, []]), ('normal control', {'grants': [[1288, 33, 20]], 'day': 20, 'amount': 7312}, [1288, 6024, []]), ('normal control', {'grants': [[324, 48, 13], [3431, 60, 6], [301, 29, 1], [1437, 59, 27]], 'day': 29, 'amount': 8166}, [5192, 2974, []]), ('normal control', {'grants': [[2393, 25, 21]], 'day': 25, 'amount': 2298}, [0, 2298, []]), ('normal control', {'grants': [[3652, 78, 36], [3344, 61, 28], [3775, 47, 19]], 'day': 36, 'amount': 2567}, [2567, 0, [[1208, 47], [3344, 61], [3652, 78]]])], [('regression', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('regression', {'grants': [[348, 44, 22], [3151, 71, 29], [1829, 75, 25]], 'day': 22, 'amount': 1836}, [348, 1488, []]), ('partial-repair probe', {'grants': [[2834, 10, 2], [2391, 78, 31], [4168, 56, 2], [1900, 63, 18], [3824, 30, 11]], 'day': 30, 'amount': 236}, [236, 0, [[3932, 56], [1900, 63]]]), ('partial-repair probe', {'grants': [[1025, 32, 22], [4283, 39, 31], [3756, 69, 37], [2137, 3, 0], [2949, 17, 3]], 'day': 22, 'amount': 2736}, [1025, 1711, []]), ('normal control', {'grants': [], 'day': 80, 'amount': 1837}, [0, 1837, []]), ('normal control', {'grants': [], 'day': 25, 'amount': 2572}, [0, 2572, []]), ('normal control', {'grants': [], 'day': 73, 'amount': 5894}, [0, 5894, []]), ('normal control', {'grants': [[571, 50, 17], [4761, 10, 6], [3521, 82, 34], [1414, 36, 2]], 'day': 34, 'amount': 721}, [721, 0, [[693, 36], [571, 50], [3521, 82]]])]]
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 fixture	Actual	Expected	Outcome
regression 0	`[7436, 1879, []]`	`[5968, 3347, []]`	Failed
regression 1	`[11699, 0, [[711, 64]]]`	`[3400, 8299, []]`	Failed
partial-repair probe 2	`[2784, 3634, []]`	`[0, 6418, []]`	Failed
partial-repair probe 3	`[10480, 0, [[465, 48], [1384, 70]]]`	`[8552, 1928, []]`	Failed
normal control 4	`[5792, 0, [[280, 68]]]`	`[5792, 0, [[280, 68]]]`	Passed
normal control 5	`[5362, 3130, []]`	`[5362, 3130, []]`	Passed
normal control 6	`[4886, 1573, []]`	`[4886, 1573, []]`	Passed
normal control 7	`[0, 7306, []]`	`[0, 7306, []]`	Passed

SHA-256 / e053a997ee8166d6e5cf76bb6b317131b48b218cbcd892d54232f5545c551378

2 / The unsuccessful fix

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    usable = [g for g in x['grants'] if g[2] <= g[1] and x['day'] < g[1]]
    usable.sort(key=lambda g: (g[1], g[2]))
    need = x['amount']
    applied = 0
    rest = []
    for amt, exp, gd in usable:
        take = min(amt, need)
        need -= take
        applied += take
        if amt - take > 0:
            rest.append([amt - take, exp])
    return [applied, need, rest]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression', {'grants': [[1468, 59, 37], [2753, 34, 1], [3215, 49, 24]], 'day': 24, 'amount': 9315}, [5968, 3347, []]), ('regression', {'grants': [[2342, 62, 27], [2349, 64, 11], [3400, 5, 3], [4319, 29, 10]], 'day': 3, 'amount': 11699}, [3400, 8299, []]), ('partial-repair probe', {'grants': [[2784, 49, 29], [4250, 5, 2]], 'day': 5, 'amount': 6418}, [0, 6418, []]), ('partial-repair probe', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('normal control', {'grants': [[3819, 68, 16], [1930, 58, 26], [323, 59, 3], [2345, 29, 23], [2715, 44, 13]], 'day': 44, 'amount': 5792}, [5792, 0, [[280, 68]]]), ('normal control', {'grants': [[2773, 15, 9], [1310, 48, 23], [4052, 71, 20]], 'day': 23, 'amount': 8492}, [5362, 3130, []]), ('normal control', {'grants': [[4886, 68, 27]], 'day': 34, 'amount': 6459}, [4886, 1573, []]), ('normal control', {'grants': [[4933, 63, 40]], 'day': 63, 'amount': 7306}, [0, 7306, []])], [('regression', {'grants': [[2342, 62, 27], [2349, 64, 11], [3400, 5, 3], [4319, 29, 10]], 'day': 3, 'amount': 11699}, [3400, 8299, []]), ('regression', {'grants': [[2784, 49, 29], [4250, 5, 2]], 'day': 5, 'amount': 6418}, [0, 6418, []]), ('partial-repair probe', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('partial-repair probe', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('normal control', {'grants': [[4428, 38, 34], [4352, 38, 5], [1603, 11, 10]], 'day': 38, 'amount': 11185}, [0, 11185, []]), ('normal control', {'grants': [[1532, 36, 16], [3167, 81, 23]], 'day': 79, 'amount': 9179}, [3167, 6012, []]), ('normal control', {'grants': [[1721, 49, 40], [1723, 56, 3], [735, 16, 1]], 'day': 56, 'amount': 7084}, [0, 7084, []]), ('normal control', {'grants': [], 'day': 33, 'amount': 11076}, [0, 11076, []])], [('regression', {'grants': [[2784, 49, 29], [4250, 5, 2]], 'day': 5, 'amount': 6418}, [0, 6418, []]), ('regression', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('partial-repair probe', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('partial-repair probe', {'grants': [[348, 44, 22], [3151, 71, 29], [1829, 75, 25]], 'day': 22, 'amount': 1836}, [348, 1488, []]), ('normal control', {'grants': [[3257, 40, 31], [4520, 73, 40], [4293, 11, 10]], 'day': 40, 'amount': 1147}, [1147, 0, [[3373, 73]]]), ('normal control', {'grants': [], 'day': 50, 'amount': 6225}, [0, 6225, []]), ('normal control', {'grants': [[1585, 58, 15], [4019, 40, 15], [2113, 83, 26]], 'day': 83, 'amount': 3346}, [0, 3346, []]), ('normal control', {'grants': [[1988, 63, 35]], 'day': 58, 'amount': 4262}, [1988, 2274, []])], [('regression', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('regression', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('partial-repair probe', {'grants': [[1110, 34, 23], [3403, 54, 35], [4357, 61, 21], [1009, 33, 4], [1988, 42, 17]], 'day': 33, 'amount': 7737}, [7455, 282, []]), ('partial-repair probe', {'grants': [[3265, 3, 2], [961, 90, 30], [2437, 40, 28]], 'day': 3, 'amount': 6149}, [0, 6149, []]), ('normal control', {'grants': [[1288, 33, 20]], 'day': 20, 'amount': 7312}, [1288, 6024, []]), ('normal control', {'grants': [[324, 48, 13], [3431, 60, 6], [301, 29, 1], [1437, 59, 27]], 'day': 29, 'amount': 8166}, [5192, 2974, []]), ('normal control', {'grants': [[2393, 25, 21]], 'day': 25, 'amount': 2298}, [0, 2298, []]), ('normal control', {'grants': [[3652, 78, 36], [3344, 61, 28], [3775, 47, 19]], 'day': 36, 'amount': 2567}, [2567, 0, [[1208, 47], [3344, 61], [3652, 78]]])], [('regression', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('regression', {'grants': [[348, 44, 22], [3151, 71, 29], [1829, 75, 25]], 'day': 22, 'amount': 1836}, [348, 1488, []]), ('partial-repair probe', {'grants': [[2834, 10, 2], [2391, 78, 31], [4168, 56, 2], [1900, 63, 18], [3824, 30, 11]], 'day': 30, 'amount': 236}, [236, 0, [[3932, 56], [1900, 63]]]), ('partial-repair probe', {'grants': [[1025, 32, 22], [4283, 39, 31], [3756, 69, 37], [2137, 3, 0], [2949, 17, 3]], 'day': 22, 'amount': 2736}, [1025, 1711, []]), ('normal control', {'grants': [], 'day': 80, 'amount': 1837}, [0, 1837, []]), ('normal control', {'grants': [], 'day': 25, 'amount': 2572}, [0, 2572, []]), ('normal control', {'grants': [], 'day': 73, 'amount': 5894}, [0, 5894, []]), ('normal control', {'grants': [[571, 50, 17], [4761, 10, 6], [3521, 82, 34], [1414, 36, 2]], 'day': 34, 'amount': 721}, [721, 0, [[693, 36], [571, 50], [3521, 82]]])]]
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 fixture	Actual	Expected	Outcome
regression 0	`[7436, 1879, []]`	`[5968, 3347, []]`	Failed
regression 1	`[11699, 0, [[711, 64]]]`	`[3400, 8299, []]`	Failed
partial-repair probe 2	`[2784, 3634, []]`	`[0, 6418, []]`	Failed
partial-repair probe 3	`[10480, 0, [[465, 48], [1384, 70]]]`	`[8552, 1928, []]`	Failed
normal control 4	`[5792, 0, [[280, 68]]]`	`[5792, 0, [[280, 68]]]`	Passed
normal control 5	`[5362, 3130, []]`	`[5362, 3130, []]`	Passed
normal control 6	`[4886, 1573, []]`	`[4886, 1573, []]`	Passed
normal control 7	`[0, 7306, []]`	`[0, 7306, []]`	Passed

SHA-256 / 1f3a4bd1727fa11519feb6931134e810cfcdd418546b9b9a161725eeac53e0ab

3 / The verified repair

Exit 0

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    usable = [g for g in x['grants'] if g[2] <= x['day'] < g[1]]
    usable.sort(key=lambda g: (g[1], g[2]))
    need = x['amount']
    applied = 0
    rest = []
    for amt, exp, gd in usable:
        take = min(amt, need)
        need -= take
        applied += take
        if amt - take > 0:
            rest.append([amt - take, exp])
    return [applied, need, rest]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression', {'grants': [[1468, 59, 37], [2753, 34, 1], [3215, 49, 24]], 'day': 24, 'amount': 9315}, [5968, 3347, []]), ('regression', {'grants': [[2342, 62, 27], [2349, 64, 11], [3400, 5, 3], [4319, 29, 10]], 'day': 3, 'amount': 11699}, [3400, 8299, []]), ('partial-repair probe', {'grants': [[2784, 49, 29], [4250, 5, 2]], 'day': 5, 'amount': 6418}, [0, 6418, []]), ('partial-repair probe', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('normal control', {'grants': [[3819, 68, 16], [1930, 58, 26], [323, 59, 3], [2345, 29, 23], [2715, 44, 13]], 'day': 44, 'amount': 5792}, [5792, 0, [[280, 68]]]), ('normal control', {'grants': [[2773, 15, 9], [1310, 48, 23], [4052, 71, 20]], 'day': 23, 'amount': 8492}, [5362, 3130, []]), ('normal control', {'grants': [[4886, 68, 27]], 'day': 34, 'amount': 6459}, [4886, 1573, []]), ('normal control', {'grants': [[4933, 63, 40]], 'day': 63, 'amount': 7306}, [0, 7306, []])], [('regression', {'grants': [[2342, 62, 27], [2349, 64, 11], [3400, 5, 3], [4319, 29, 10]], 'day': 3, 'amount': 11699}, [3400, 8299, []]), ('regression', {'grants': [[2784, 49, 29], [4250, 5, 2]], 'day': 5, 'amount': 6418}, [0, 6418, []]), ('partial-repair probe', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('partial-repair probe', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('normal control', {'grants': [[4428, 38, 34], [4352, 38, 5], [1603, 11, 10]], 'day': 38, 'amount': 11185}, [0, 11185, []]), ('normal control', {'grants': [[1532, 36, 16], [3167, 81, 23]], 'day': 79, 'amount': 9179}, [3167, 6012, []]), ('normal control', {'grants': [[1721, 49, 40], [1723, 56, 3], [735, 16, 1]], 'day': 56, 'amount': 7084}, [0, 7084, []]), ('normal control', {'grants': [], 'day': 33, 'amount': 11076}, [0, 11076, []])], [('regression', {'grants': [[2784, 49, 29], [4250, 5, 2]], 'day': 5, 'amount': 6418}, [0, 6418, []]), ('regression', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('partial-repair probe', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('partial-repair probe', {'grants': [[348, 44, 22], [3151, 71, 29], [1829, 75, 25]], 'day': 22, 'amount': 1836}, [348, 1488, []]), ('normal control', {'grants': [[3257, 40, 31], [4520, 73, 40], [4293, 11, 10]], 'day': 40, 'amount': 1147}, [1147, 0, [[3373, 73]]]), ('normal control', {'grants': [], 'day': 50, 'amount': 6225}, [0, 6225, []]), ('normal control', {'grants': [[1585, 58, 15], [4019, 40, 15], [2113, 83, 26]], 'day': 83, 'amount': 3346}, [0, 3346, []]), ('normal control', {'grants': [[1988, 63, 35]], 'day': 58, 'amount': 4262}, [1988, 2274, []])], [('regression', {'grants': [[1384, 70, 15], [4042, 35, 28], [3777, 37, 32], [3126, 48, 5]], 'day': 28, 'amount': 10480}, [8552, 1928, []]), ('regression', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('partial-repair probe', {'grants': [[1110, 34, 23], [3403, 54, 35], [4357, 61, 21], [1009, 33, 4], [1988, 42, 17]], 'day': 33, 'amount': 7737}, [7455, 282, []]), ('partial-repair probe', {'grants': [[3265, 3, 2], [961, 90, 30], [2437, 40, 28]], 'day': 3, 'amount': 6149}, [0, 6149, []]), ('normal control', {'grants': [[1288, 33, 20]], 'day': 20, 'amount': 7312}, [1288, 6024, []]), ('normal control', {'grants': [[324, 48, 13], [3431, 60, 6], [301, 29, 1], [1437, 59, 27]], 'day': 29, 'amount': 8166}, [5192, 2974, []]), ('normal control', {'grants': [[2393, 25, 21]], 'day': 25, 'amount': 2298}, [0, 2298, []]), ('normal control', {'grants': [[3652, 78, 36], [3344, 61, 28], [3775, 47, 19]], 'day': 36, 'amount': 2567}, [2567, 0, [[1208, 47], [3344, 61], [3652, 78]]])], [('regression', {'grants': [[2817, 40, 9], [519, 18, 4], [2025, 35, 27]], 'day': 18, 'amount': 2988}, [2817, 171, []]), ('regression', {'grants': [[348, 44, 22], [3151, 71, 29], [1829, 75, 25]], 'day': 22, 'amount': 1836}, [348, 1488, []]), ('partial-repair probe', {'grants': [[2834, 10, 2], [2391, 78, 31], [4168, 56, 2], [1900, 63, 18], [3824, 30, 11]], 'day': 30, 'amount': 236}, [236, 0, [[3932, 56], [1900, 63]]]), ('partial-repair probe', {'grants': [[1025, 32, 22], [4283, 39, 31], [3756, 69, 37], [2137, 3, 0], [2949, 17, 3]], 'day': 22, 'amount': 2736}, [1025, 1711, []]), ('normal control', {'grants': [], 'day': 80, 'amount': 1837}, [0, 1837, []]), ('normal control', {'grants': [], 'day': 25, 'amount': 2572}, [0, 2572, []]), ('normal control', {'grants': [], 'day': 73, 'amount': 5894}, [0, 5894, []]), ('normal control', {'grants': [[571, 50, 17], [4761, 10, 6], [3521, 82, 34], [1414, 36, 2]], 'day': 34, 'amount': 721}, [721, 0, [[693, 36], [571, 50], [3521, 82]]])]]
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 fixture	Actual	Expected	Outcome
regression 0	`[5968, 3347, []]`	`[5968, 3347, []]`	Passed
regression 1	`[3400, 8299, []]`	`[3400, 8299, []]`	Passed
partial-repair probe 2	`[0, 6418, []]`	`[0, 6418, []]`	Passed
partial-repair probe 3	`[8552, 1928, []]`	`[8552, 1928, []]`	Passed
normal control 4	`[5792, 0, [[280, 68]]]`	`[5792, 0, [[280, 68]]]`	Passed
normal control 5	`[5362, 3130, []]`	`[5362, 3130, []]`	Passed
normal control 6	`[4886, 1573, []]`	`[4886, 1573, []]`	Passed
normal control 7	`[0, 7306, []]`	`[0, 7306, []]`	Passed

SHA-256 / 1e01dabd65fc6c1833d66f51a2a49ace5b07334a84ff8ba76c00bbebcf7649a4

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 2026-09-29T14:46:39.484047+00:00.

Case digest / 2e8a64d306eb0ccdf1bb0d2401bd3d399d8a45e0189bdd581502534241f8d2fb