FA-57411 / Auction allocation rules / Open access
Qualification stages: qualification validity · case 01
A qualification remains bid-eligible at its expiration tick.
ROOT CAUSE
A qualification remains bid-eligible at its expiration tick.
VERIFIED REPAIR
For qualification validity, apply the stipulated decision x["now"]<x["expires"].
Unsuccessful approach: The attempted repair uses x["now"]>x["expires"]; 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 qualification-validity: For qualification validity, apply the stipulated decision x["now"]<x["expires"].
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 = 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 = [('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}, [False, False, False, False, False]), ('unrelated rejection / qualification expired', {'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': 9, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [False, False, False, False, False]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True])]
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))['qualification-validity'], 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 |
|---|---|---|---|
| qualification expired | True | False | Failed |
| unrelated rejection / qualification expired | True | False | Failed |
| normal contract | True | True | Passed |
| unrelated rejection | True | True | Passed |
| missing prior stage | True | True | Passed |
| all evidence | True | True | Passed |
| all approved | True | True | Passed |
| red category | True | True | Passed |
| small award | True | True | Passed |
| suspended bidder | True | True | Passed |
SHA-256 / 3c89bc129215b2a73e3750f1d9a0fde4b26979b9f9edde2c1569bd1b53e0e52e
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 = 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 = [('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}, [False, False, False, False, False]), ('unrelated rejection / qualification expired', {'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': 9, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [False, False, False, False, False]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True])]
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))['qualification-validity'], 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 |
|---|---|---|---|
| qualification expired | False | False | Passed |
| unrelated rejection / qualification expired | False | False | Passed |
| normal contract | False | True | Failed |
| unrelated rejection | False | True | Failed |
| missing prior stage | False | True | Failed |
| all evidence | False | True | Failed |
| all approved | False | True | Failed |
| red category | False | True | Failed |
| small award | False | True | Failed |
| suspended bidder | False | True | Failed |
SHA-256 / 06973026529024340b00dc08b18fc63766ae6c8e4544156762847dfb707ce44c
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 = [('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}, [False, False, False, False, False]), ('unrelated rejection / qualification expired', {'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': 9, 'suspended': False, 'appeal': True, 'stage': 'review', 'completed': ['application'], 'sequence': ['application', 'review', 'admission'], 'evidence_revision': 2, 'reviewed_revision': 1, 'conditional': True, 'conditions_met': False}, [False, False, False, False, False]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True]), ('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}, [True, True, True, True, True])]
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))['qualification-validity'], 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 |
|---|---|---|---|
| qualification expired | False | False | Passed |
| unrelated rejection / qualification expired | False | False | Passed |
| normal contract | True | True | Passed |
| unrelated rejection | True | True | Passed |
| missing prior stage | True | True | Passed |
| all evidence | True | True | Passed |
| all approved | True | True | Passed |
| red category | True | True | Passed |
| small award | True | True | Passed |
| suspended bidder | True | True | Passed |
SHA-256 / 5fd5f7f2c9ab0df7a7bb75eea7b70a393f5ac0ef20e6d57a5c55d76e6e5aa0a6
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 2026-09-29T14:46:16.473537+00:00.
Case digest / fe7e7f4a1056e71dddad466bd682589ff55d91f7918bb86453cf8bd43f8d40ef