FA-57756 / Auction allocation rules / Open access
Award installments: disputed tranche hold · case 01
One disputed installment freezes the wrong proceeds.
ROOT CAUSE
One disputed installment freezes the wrong proceeds.
VERIFIED REPAIR
For disputed tranche hold, apply the stipulated decision sum(a for i,a in enumerate(x["amounts"]) if i in x["disputed"]).
Unsuccessful approach: The attempted repair uses sum(a for i,a in enumerate(x["amounts"]) if i not in x["disputed"]); the explicit regression cases demonstrate that this still violates the stipulated auction rule.
Case contract
A toy award permits staged integer-credit installments. Due amounts are a schedule; paid credits are allocated to earlier due installments first. Delivery release depends on the contractual delivery tranche and disputed tranches remain held. No interest or real payment processing is modeled. Named decision disputed-tranche-hold: For disputed tranche hold, apply the stipulated decision sum(a for i,a in enumerate(x["amounts"]) if i in x["disputed"]).
Why this case matters
Offline administrative auction model for software failure analysis.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
v0 = sum(a for a,d in zip(x["amounts"],x["due"]) if d<=x["now"])
v1 = [min(a,max(0,x["paid"]-sum(x["amounts"][:i]))) for i,a in enumerate(x["amounts"])]
v2 = x["paid"]>=sum(x["amounts"][:x["delivery_index"]+1])
v3 = sum(x["amounts"]) if x["disputed"] else 0
v4 = sum(a for i,a in enumerate(x["amounts"]) if i not in x["waived"])
v5 = min(x["refund"],max(0,x["paid"]-x["already_refunded"]))
v6 = [] if x["cancelled"] else [d for d in x["due"] if d>x["now"]]
v7 = [x["now"] if x["accelerated"] and d>x["now"] else d for d in x["due"]]
v8 = x["paid"]+(0 if x["deposit_applied"] else x["deposit"])
v9 = max(0,x["paid"]-sum(a for i,a in enumerate(x["amounts"]) if i not in x["waived"]))
return {'due-installments':v0,'oldest-tranche-credit':v1,'delivery-tranche-threshold':v2,'disputed-tranche-hold':v3,'waived-tranche-obligation':v4,'refundable-paid-installments':v5,'cancel-future-collection':v6,'accelerated-maturity':v7,'deposit-credit-once':v8,'excess-installment-credit':v9}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [('normal contract', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('independent equal receipts', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r1', 'r2', 'r1'], 'receipt_amounts': [3, 3, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('nothing paid', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 0, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('fully paid', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 20, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('first due', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 2, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('before any due', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 1, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('after all due', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 8, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('no disputes', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [0, 0, 0, 0, 0]), ('no waived tranches', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35])]
def vary(value):
if type(value) is int: return value*N
if isinstance(value,list): return [vary(v) for v in value]
if isinstance(value,dict): return {k:(v if k in ['count', 'delivery_index', 'disputed', 'maximum_set', 'minimum_set', 'stage', 'threshold', 'waived'] else vary(v)) for k,v in value.items()}
return value
for label, request, expected in fixtures:
check(label, solve(vary(request))['disputed-tranche-hold'], expected[N-1])
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 |
|---|---|---|---|
| normal contract | 20 | 7 | Failed |
| independent equal receipts | 20 | 7 | Failed |
| nothing paid | 20 | 7 | Failed |
| fully paid | 20 | 7 | Failed |
| first due | 20 | 7 | Failed |
| before any due | 20 | 7 | Failed |
| after all due | 20 | 7 | Failed |
| no disputes | 0 | 0 | Passed |
| no waived tranches | 20 | 7 | Failed |
SHA-256 / 23d9195168c51d5e461f86b9acbeb67c3ff403046751a4216f8e23636c2c15f5
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
v0 = sum(a for a,d in zip(x["amounts"],x["due"]) if d<=x["now"])
v1 = [min(a,max(0,x["paid"]-sum(x["amounts"][:i]))) for i,a in enumerate(x["amounts"])]
v2 = x["paid"]>=sum(x["amounts"][:x["delivery_index"]+1])
v3 = sum(a for i,a in enumerate(x["amounts"]) if i not in x["disputed"])
v4 = sum(a for i,a in enumerate(x["amounts"]) if i not in x["waived"])
v5 = min(x["refund"],max(0,x["paid"]-x["already_refunded"]))
v6 = [] if x["cancelled"] else [d for d in x["due"] if d>x["now"]]
v7 = [x["now"] if x["accelerated"] and d>x["now"] else d for d in x["due"]]
v8 = x["paid"]+(0 if x["deposit_applied"] else x["deposit"])
v9 = max(0,x["paid"]-sum(a for i,a in enumerate(x["amounts"]) if i not in x["waived"]))
return {'due-installments':v0,'oldest-tranche-credit':v1,'delivery-tranche-threshold':v2,'disputed-tranche-hold':v3,'waived-tranche-obligation':v4,'refundable-paid-installments':v5,'cancel-future-collection':v6,'accelerated-maturity':v7,'deposit-credit-once':v8,'excess-installment-credit':v9}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [('normal contract', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('independent equal receipts', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r1', 'r2', 'r1'], 'receipt_amounts': [3, 3, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('nothing paid', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 0, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('fully paid', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 20, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('first due', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 2, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('before any due', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 1, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('after all due', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 8, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('no disputes', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [0, 0, 0, 0, 0]), ('no waived tranches', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35])]
def vary(value):
if type(value) is int: return value*N
if isinstance(value,list): return [vary(v) for v in value]
if isinstance(value,dict): return {k:(v if k in ['count', 'delivery_index', 'disputed', 'maximum_set', 'minimum_set', 'stage', 'threshold', 'waived'] else vary(v)) for k,v in value.items()}
return value
for label, request, expected in fixtures:
check(label, solve(vary(request))['disputed-tranche-hold'], expected[N-1])
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 |
|---|---|---|---|
| normal contract | 13 | 7 | Failed |
| independent equal receipts | 13 | 7 | Failed |
| nothing paid | 13 | 7 | Failed |
| fully paid | 13 | 7 | Failed |
| first due | 13 | 7 | Failed |
| before any due | 13 | 7 | Failed |
| after all due | 13 | 7 | Failed |
| no disputes | 20 | 0 | Failed |
| no waived tranches | 13 | 7 | Failed |
SHA-256 / 5d277549add87e65faea3855237b212c00a5f540840d5f5aa8353d394d21a90a
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
v0 = sum(a for a,d in zip(x["amounts"],x["due"]) if d<=x["now"])
v1 = [min(a,max(0,x["paid"]-sum(x["amounts"][:i]))) for i,a in enumerate(x["amounts"])]
v2 = x["paid"]>=sum(x["amounts"][:x["delivery_index"]+1])
v3 = sum(a for i,a in enumerate(x["amounts"]) if i in x["disputed"])
v4 = sum(a for i,a in enumerate(x["amounts"]) if i not in x["waived"])
v5 = min(x["refund"],max(0,x["paid"]-x["already_refunded"]))
v6 = [] if x["cancelled"] else [d for d in x["due"] if d>x["now"]]
v7 = [x["now"] if x["accelerated"] and d>x["now"] else d for d in x["due"]]
v8 = x["paid"]+(0 if x["deposit_applied"] else x["deposit"])
v9 = max(0,x["paid"]-sum(a for i,a in enumerate(x["amounts"]) if i not in x["waived"]))
return {'due-installments':v0,'oldest-tranche-credit':v1,'delivery-tranche-threshold':v2,'disputed-tranche-hold':v3,'waived-tranche-obligation':v4,'refundable-paid-installments':v5,'cancel-future-collection':v6,'accelerated-maturity':v7,'deposit-credit-once':v8,'excess-installment-credit':v9}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [('normal contract', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('independent equal receipts', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r1', 'r2', 'r1'], 'receipt_amounts': [3, 3, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('nothing paid', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 0, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('fully paid', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 20, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('first due', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 2, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('before any due', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 1, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('after all due', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 8, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35]), ('no disputes', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [], 'waived': [0], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [0, 0, 0, 0, 0]), ('no waived tranches', {'amounts': [5, 7, 8], 'due': [2, 4, 6], 'now': 4, 'paid': 9, 'delivery_index': 1, 'disputed': [1], 'waived': [], 'refund': 3, 'already_refunded': 1, 'cancelled': False, 'accelerated': False, 'deposit': 4, 'deposit_applied': False, 'receipt_ids': ['r2', 'r1', 'r2'], 'receipt_amounts': [3, 2, 3], 'award_total': 20}, [7, 14, 21, 28, 35])]
def vary(value):
if type(value) is int: return value*N
if isinstance(value,list): return [vary(v) for v in value]
if isinstance(value,dict): return {k:(v if k in ['count', 'delivery_index', 'disputed', 'maximum_set', 'minimum_set', 'stage', 'threshold', 'waived'] else vary(v)) for k,v in value.items()}
return value
for label, request, expected in fixtures:
check(label, solve(vary(request))['disputed-tranche-hold'], expected[N-1])
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 |
|---|---|---|---|
| normal contract | 7 | 7 | Passed |
| independent equal receipts | 7 | 7 | Passed |
| nothing paid | 7 | 7 | Passed |
| fully paid | 7 | 7 | Passed |
| first due | 7 | 7 | Passed |
| before any due | 7 | 7 | Passed |
| after all due | 7 | 7 | Passed |
| no disputes | 0 | 0 | Passed |
| no waived tranches | 7 | 7 | Passed |
SHA-256 / f5599ab3194c6396ba0170e3380addd6493ead5f3d17e3b610fd5a1d1b5ceba4
Verification & scope
Stipulated toy auction rules, not a venue specification, financial advice, optimization claim, or live trading implementation. Nonnegative integer inputs and internally aligned list fields only. 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 2026-09-29T14:46:20.089917+00:00.
Case digest / 2ff0c2d942d32a47bb45142915588682bca5f05e35e6cf64494424cfa0d16dc0