FA-57406 / Auction allocation rules / Open access
Qualification stages: qualified volume · case 01
The bidder maximum qualification volume replaces actual requested award volume.
ROOT CAUSE
The bidder maximum qualification volume replaces actual requested award volume.
VERIFIED REPAIR
For qualified volume, apply the stipulated decision min(x["volume"],x["qualified_volume"]).
Unsuccessful approach: The attempted repair uses x["qualified_volume"]; the explicit regression cases demonstrate that this still violates the stipulated auction rule.
Case contract
A staged toy auction prequalification uses submitted evidence, reviewer decisions, category-specific certification and bounded award volume. A qualification suspension freezes new offers but preserves previously earned appeal rights. Evidence identifiers distinguish revisions. Named decision qualified-volume: For qualified volume, apply the stipulated decision min(x["volume"],x["qualified_volume"]).
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 = set(x["required"])<=set(x["approved"])
v1 = not set(x["required"])&set(x["rejected"])
v2 = x["requested_category"] in x["certified"]
v3 = x["volume"]
v4 = x["now"]<x["expires"]
v5 = not x["suspended"] and x["now"]<x["expires"]
v6 = x["appeal"]
v7 = all(s in x["completed"] for s in x["sequence"][:x["sequence"].index(x["stage"])])
v8 = x["evidence_revision"]==x["reviewed_revision"]
v9 = not x["conditional"] or x["conditions_met"]
return {'submitted-is-not-approved':v0,'rejected-required-evidence':v1,'certified-award-category':v2,'qualified-volume':v3,'qualification-validity':v4,'suspension-bid-gate':v5,'appeal-during-suspension':v6,'preceding-stage-certification':v7,'reviewed-evidence-revision':v8,'conditional-admission':v9}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [('normal contract', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('unrelated rejection', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['optional'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('small award', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 3, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [3, 6, 9, 12, 15]), ('unrelated rejection / small award', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['optional'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 3, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [3, 6, 9, 12, 15]), ('missing prior stage', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'admission', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('all evidence', {'required': ['identity', 'capacity'], 'submitted': ['identity', 'capacity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('all approved', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity', 'capacity'], 'rejected': [], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('red category', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'red', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('qualification expired', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 9, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('suspended bidder', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': True, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25])]
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))['qualified-volume'], 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 | 8 | 5 | Failed |
| unrelated rejection | 8 | 5 | Failed |
| small award | 3 | 3 | Passed |
| unrelated rejection / small award | 3 | 3 | Passed |
| missing prior stage | 8 | 5 | Failed |
| all evidence | 8 | 5 | Failed |
| all approved | 8 | 5 | Failed |
| red category | 8 | 5 | Failed |
| qualification expired | 8 | 5 | Failed |
| suspended bidder | 8 | 5 | Failed |
SHA-256 / 7c5ed1d1decbe2c396d60b393c55396e1e4c6411c68bc073ee321aeb85f6c5af
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
v0 = set(x["required"])<=set(x["approved"])
v1 = not set(x["required"])&set(x["rejected"])
v2 = x["requested_category"] in x["certified"]
v3 = x["qualified_volume"]
v4 = x["now"]<x["expires"]
v5 = not x["suspended"] and x["now"]<x["expires"]
v6 = x["appeal"]
v7 = all(s in x["completed"] for s in x["sequence"][:x["sequence"].index(x["stage"])])
v8 = x["evidence_revision"]==x["reviewed_revision"]
v9 = not x["conditional"] or x["conditions_met"]
return {'submitted-is-not-approved':v0,'rejected-required-evidence':v1,'certified-award-category':v2,'qualified-volume':v3,'qualification-validity':v4,'suspension-bid-gate':v5,'appeal-during-suspension':v6,'preceding-stage-certification':v7,'reviewed-evidence-revision':v8,'conditional-admission':v9}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [('normal contract', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('unrelated rejection', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['optional'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('small award', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 3, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [3, 6, 9, 12, 15]), ('unrelated rejection / small award', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['optional'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 3, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [3, 6, 9, 12, 15]), ('missing prior stage', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'admission', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('all evidence', {'required': ['identity', 'capacity'], 'submitted': ['identity', 'capacity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('all approved', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity', 'capacity'], 'rejected': [], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('red category', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'red', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('qualification expired', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 9, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('suspended bidder', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': True, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25])]
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))['qualified-volume'], 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 | 5 | 5 | Passed |
| unrelated rejection | 5 | 5 | Passed |
| small award | 5 | 3 | Failed |
| unrelated rejection / small award | 5 | 3 | Failed |
| missing prior stage | 5 | 5 | Passed |
| all evidence | 5 | 5 | Passed |
| all approved | 5 | 5 | Passed |
| red category | 5 | 5 | Passed |
| qualification expired | 5 | 5 | Passed |
| suspended bidder | 5 | 5 | Passed |
SHA-256 / bf26d04bd9bb07940dbba559c0553068035d17fe3358f98a67a128448b65881b
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
v0 = set(x["required"])<=set(x["approved"])
v1 = not set(x["required"])&set(x["rejected"])
v2 = x["requested_category"] in x["certified"]
v3 = min(x["volume"],x["qualified_volume"])
v4 = x["now"]<x["expires"]
v5 = not x["suspended"] and x["now"]<x["expires"]
v6 = x["appeal"]
v7 = all(s in x["completed"] for s in x["sequence"][:x["sequence"].index(x["stage"])])
v8 = x["evidence_revision"]==x["reviewed_revision"]
v9 = not x["conditional"] or x["conditions_met"]
return {'submitted-is-not-approved':v0,'rejected-required-evidence':v1,'certified-award-category':v2,'qualified-volume':v3,'qualification-validity':v4,'suspension-bid-gate':v5,'appeal-during-suspension':v6,'preceding-stage-certification':v7,'reviewed-evidence-revision':v8,'conditional-admission':v9}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [('normal contract', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('unrelated rejection', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['optional'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('small award', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 3, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [3, 6, 9, 12, 15]), ('unrelated rejection / small award', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['optional'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 3, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [3, 6, 9, 12, 15]), ('missing prior stage', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'admission', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('all evidence', {'required': ['identity', 'capacity'], 'submitted': ['identity', 'capacity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('all approved', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity', 'capacity'], 'rejected': [], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('red category', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'red', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('qualification expired', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 9, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25]), ('suspended bidder', {'required': ['identity', 'capacity'], 'submitted': ['identity'], 'approved': ['identity'], 'rejected': ['capacity'], 'categories': ['red', 'blue'], 'certified': ['red'], 'requested_category': 'blue', 'volume': 8, 'qualified_volume': 5, 'expires': 9, 'now': 7, 'suspended': True, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [5, 10, 15, 20, 25])]
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))['qualified-volume'], 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 | 5 | 5 | Passed |
| unrelated rejection | 5 | 5 | Passed |
| small award | 3 | 3 | Passed |
| unrelated rejection / small award | 3 | 3 | Passed |
| missing prior stage | 5 | 5 | Passed |
| all evidence | 5 | 5 | Passed |
| all approved | 5 | 5 | Passed |
| red category | 5 | 5 | Passed |
| qualification expired | 5 | 5 | Passed |
| suspended bidder | 5 | 5 | Passed |
SHA-256 / d07adc4af930d119f505281fc28704a729b16b72981761fbb39e7c86eb5bf046
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 2026-09-29T14:46:16.464331+00:00.
Case digest / 307f2824846db21407eba3c31e59a6820ffc44e3107ed45949e9b84c225dbed3