FA-57436 / Auction allocation rules / Open access
Qualification stages: conditional admission · case 01
Provisional qualification becomes unconditional before its conditions are fulfilled.
ROOT CAUSE
Provisional qualification becomes unconditional before its conditions are fulfilled.
VERIFIED REPAIR
For conditional admission, apply the stipulated decision not x["conditional"] or x["conditions_met"].
Unsuccessful approach: The attempted repair uses x["conditions_met"]; 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 conditional-admission: For conditional admission, apply the stipulated decision not x["conditional"] or x["conditions_met"].
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 = True
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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('unconditional admission', {'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': False, 'conditions_met': False}, [True, True, True, True, True]), ('unrelated rejection / unconditional admission', {'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': False, '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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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]), ('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}, [False, False, False, False, False])]
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))['conditional-admission'], 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 | True | False | Failed |
| unrelated rejection | True | False | Failed |
| unconditional admission | True | True | Passed |
| unrelated rejection / unconditional admission | True | True | Passed |
| missing prior stage | True | False | Failed |
| all evidence | True | False | Failed |
| all approved | True | False | Failed |
| red category | True | False | Failed |
| small award | True | False | Failed |
| qualification expired | True | False | Failed |
| suspended bidder | True | False | Failed |
SHA-256 / 22335f916b46b9b292c30c08f8025b17714a66f67a7cec6cbf1b9980db7bbb11
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 = 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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('unconditional admission', {'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': False, 'conditions_met': False}, [True, True, True, True, True]), ('unrelated rejection / unconditional admission', {'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': False, '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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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]), ('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}, [False, False, False, False, False])]
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))['conditional-admission'], 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 | False | False | Passed |
| unrelated rejection | False | False | Passed |
| unconditional admission | False | True | Failed |
| unrelated rejection / unconditional admission | False | True | Failed |
| missing prior stage | False | False | Passed |
| all evidence | False | False | Passed |
| all approved | False | False | Passed |
| red category | False | False | Passed |
| small award | False | False | Passed |
| qualification expired | False | False | Passed |
| suspended bidder | False | False | Passed |
SHA-256 / e234f70401826afa6522375c3c6e3407436dc4510a89f18d7bc7267a7427f170
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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('unconditional admission', {'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': False, 'conditions_met': False}, [True, True, True, True, True]), ('unrelated rejection / unconditional admission', {'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': False, '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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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}, [False, False, False, False, False]), ('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]), ('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}, [False, False, False, False, False])]
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))['conditional-admission'], 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 | False | False | Passed |
| unrelated rejection | False | False | Passed |
| unconditional admission | True | True | Passed |
| unrelated rejection / unconditional admission | True | True | Passed |
| missing prior stage | False | False | Passed |
| all evidence | False | False | Passed |
| all approved | False | False | Passed |
| red category | False | False | Passed |
| small award | False | False | Passed |
| qualification expired | False | False | Passed |
| suspended bidder | False | False | Passed |
SHA-256 / 8afdb148b7ce7507eb85a2f41069e3372840b06c1dde9aefbfb931e40bb73d4a
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 2026-09-29T14:46:16.757939+00:00.
Case digest / 5f6f1ec9e4116db7d4c98c32e79f18736a5d15d34881141c0db36504ffe8e974