FA-57431 / Auction allocation rules / Open access
Qualification stages: reviewed evidence revision · case 01
A review of older evidence approves the amended qualification packet.
ROOT CAUSE
A review of older evidence approves the amended qualification packet.
VERIFIED REPAIR
For reviewed evidence revision, apply the stipulated decision x["evidence_revision"]==x["reviewed_revision"].
Unsuccessful approach: The attempted repair uses x["reviewed_revision"]>=x["evidence_revision"]; 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 reviewed-evidence-revision: For reviewed evidence revision, apply the stipulated decision x["evidence_revision"]==x["reviewed_revision"].
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["reviewed_revision"]<=x["evidence_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]), ('future evidence', {'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': 3, 'conditional': True, 'conditions_met': False}, [False, False, False, False, False]), ('unrelated rejection / future evidence', {'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': 3, 'conditional': True, 'conditions_met': False}, [False, False, False, False, False]), ('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))['reviewed-evidence-revision'], 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 |
| future evidence | False | False | Passed |
| unrelated rejection / future evidence | False | False | 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 / 923a894fd54fe0df92629a6deac90ece906ff61ea1f1db7079e4a0269f268617
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["reviewed_revision"]>=x["evidence_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]), ('future evidence', {'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': 3, 'conditional': True, 'conditions_met': False}, [False, False, False, False, False]), ('unrelated rejection / future evidence', {'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': 3, 'conditional': True, 'conditions_met': False}, [False, False, False, False, False]), ('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))['reviewed-evidence-revision'], 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 |
| future evidence | True | False | Failed |
| unrelated rejection / future evidence | True | False | 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 / 219e63639320e74ccd318f688a1517646f572a69bdf78b6782a3f63f1f5462f7
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]), ('future evidence', {'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': 3, 'conditional': True, 'conditions_met': False}, [False, False, False, False, False]), ('unrelated rejection / future evidence', {'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': 3, 'conditional': True, 'conditions_met': False}, [False, False, False, False, False]), ('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))['reviewed-evidence-revision'], 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 |
| future evidence | False | False | Passed |
| unrelated rejection / future evidence | False | False | 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 / 009add8f8e0235c22e819d8f79d01f0bb4b23a6b6fe4982acfd0b6310b164ca4
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 2026-09-29T14:46:16.729671+00:00.
Case digest / 8fa7012293e9e87fa95885c7a294f985138c1ffafb6f0aae1b6297cd739dd1c3