FA-68676 / Toll and parking fee computation / Open access

Merchant parking validations: percentage validations are summed · case 01

Merchant parking validations returns a wrong result when percentage validations are summed.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Several percentage validations stack, possibly making parking free.

VERIFIED REPAIR

Restore the percentage stacking rule so that the step reads `fee * max(pcts) // 100`.

Unsuccessful approach: Using the last presented validation ignores a larger one presented earlier.

Case contract

Input {minutes (single day), validations: [[free_min|pct|flat, value]], hourly, daily_max, max_free_min}. Free minutes from all validations are summed, capped at max_free_min and deducted from the stay before rating. The fee is started hours * hourly capped at daily_max. Only the largest percentage validation applies (discount floored to cents), then all flat validations are subtracted, never below zero.

Why this case matters

Fee engines bill customers in integer cents; a wrong boundary, rounding stage or cap scope silently over- or under-charges.

1 / The failure

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    free = min(x['max_free_min'], sum(v for k, v in x['validations'] if k == 'free_min'))
    bill = max(0, x['minutes'] - free)
    fee = min(x['daily_max'], -(-bill // 60) * x['hourly'])
    pcts = [v for k, v in x['validations'] if k == 'pct']
    if pcts:
        fee -= fee * sum(pcts) // 100
    flat = sum(v for k, v in x['validations'] if k == 'flat')
    return max(0, fee - flat)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[({'minutes': 846, 'validations': [['pct', 10], ['pct', 25], ['free_min', 120], ['free_min', 120]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 1800), ({'minutes': 1263, 'validations': [['pct', 25], ['flat', 250], ['pct', 50]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 120}, 650), ({'minutes': 881, 'validations': [['free_min', 120]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 120}, 1800), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 1001, 'validations': [['flat', 250], ['free_min', 15], ['free_min', 90]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 2150), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 1217, 'validations': [['pct', 50], ['pct', 10], ['flat', 500]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 120}, 1000)], [({'minutes': 257, 'validations': [['pct', 10], ['pct', 25], ['free_min', 120]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 180}, 675), ({'minutes': 17, 'validations': [['free_min', 60], ['free_min', 90]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 0), ({'minutes': 605, 'validations': [['pct', 50], ['pct', 25]], 'hourly': 350, 'daily_max': 1800, 'max_free_min': 180}, 900), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 1047, 'validations': [], 'hourly': 200, 'daily_max': 3000, 'max_free_min': 180}, 3000), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550), ({'minutes': 230, 'validations': [['flat', 250], ['free_min', 120]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 180}, 150), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700)], [({'minutes': 1076, 'validations': [], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 180}, 3000), ({'minutes': 1191, 'validations': [['pct', 25], ['pct', 25], ['flat', 500]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 120}, 1300), ({'minutes': 5, 'validations': [['flat', 100], ['free_min', 15], ['free_min', 120]], 'hourly': 350, 'daily_max': 1800, 'max_free_min': 180}, 0), ({'minutes': 740, 'validations': [['free_min', 90]], 'hourly': 300, 'daily_max': 1800, 'max_free_min': 60}, 1800), ({'minutes': 1071, 'validations': [['pct', 50], ['free_min', 60], ['pct', 10], ['free_min', 60]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 60}, 1200), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550)], [({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 297, 'validations': [['pct', 10], ['free_min', 60], ['pct', 25]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 120}, 900), ({'minutes': 516, 'validations': [['free_min', 30], ['free_min', 60], ['free_min', 30], ['pct', 25]], 'hourly': 300, 'daily_max': 1800, 'max_free_min': 120}, 1350), ({'minutes': 936, 'validations': [['pct', 50], ['free_min', 120], ['pct', 25], ['flat', 500]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 700), ({'minutes': 814, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 1800, 'max_free_min': 120}, 1800), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 1039, 'validations': [['free_min', 90], ['free_min', 90], ['flat', 250], ['free_min', 60]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 2150), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550)], [({'minutes': 1392, 'validations': [], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 2400), ({'minutes': 1332, 'validations': [['flat', 500], ['pct', 50], ['pct', 25]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 700), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 195, 'validations': [['free_min', 60], ['free_min', 30], ['pct', 10]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 60}, 540), ({'minutes': 899, 'validations': [['free_min', 120]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 180}, 3000), ({'minutes': 1058, 'validations': [['pct', 50], ['pct', 25], ['free_min', 60]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 180}, 900), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550)]]
for i, (args, expected) in enumerate(fixtures[N-1]):
    check('fee oracle' + ' %d' % i, solve(args), expected)
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
fee oracle 0	`1560`	`1800`	Failed
fee oracle 1	`200`	`650`	Failed
fee oracle 2	`1800`	`1800`	Passed
fee oracle 3	`700`	`700`	Passed
fee oracle 4	`2150`	`2150`	Passed
fee oracle 5	`430`	`550`	Failed
fee oracle 6	`300`	`300`	Passed
fee oracle 7	`700`	`1000`	Failed

SHA-256 / 0a87cf7ea0f316f083a4ed0d8277f58957d7f6f9a49072dd4f5ba6a3353b1c37

2 / The unsuccessful fix

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    free = min(x['max_free_min'], sum(v for k, v in x['validations'] if k == 'free_min'))
    bill = max(0, x['minutes'] - free)
    fee = min(x['daily_max'], -(-bill // 60) * x['hourly'])
    pcts = [v for k, v in x['validations'] if k == 'pct']
    if pcts:
        fee -= fee * pcts[-1] // 100
    flat = sum(v for k, v in x['validations'] if k == 'flat')
    return max(0, fee - flat)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[({'minutes': 846, 'validations': [['pct', 10], ['pct', 25], ['free_min', 120], ['free_min', 120]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 1800), ({'minutes': 1263, 'validations': [['pct', 25], ['flat', 250], ['pct', 50]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 120}, 650), ({'minutes': 881, 'validations': [['free_min', 120]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 120}, 1800), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 1001, 'validations': [['flat', 250], ['free_min', 15], ['free_min', 90]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 2150), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 1217, 'validations': [['pct', 50], ['pct', 10], ['flat', 500]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 120}, 1000)], [({'minutes': 257, 'validations': [['pct', 10], ['pct', 25], ['free_min', 120]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 180}, 675), ({'minutes': 17, 'validations': [['free_min', 60], ['free_min', 90]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 0), ({'minutes': 605, 'validations': [['pct', 50], ['pct', 25]], 'hourly': 350, 'daily_max': 1800, 'max_free_min': 180}, 900), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 1047, 'validations': [], 'hourly': 200, 'daily_max': 3000, 'max_free_min': 180}, 3000), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550), ({'minutes': 230, 'validations': [['flat', 250], ['free_min', 120]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 180}, 150), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700)], [({'minutes': 1076, 'validations': [], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 180}, 3000), ({'minutes': 1191, 'validations': [['pct', 25], ['pct', 25], ['flat', 500]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 120}, 1300), ({'minutes': 5, 'validations': [['flat', 100], ['free_min', 15], ['free_min', 120]], 'hourly': 350, 'daily_max': 1800, 'max_free_min': 180}, 0), ({'minutes': 740, 'validations': [['free_min', 90]], 'hourly': 300, 'daily_max': 1800, 'max_free_min': 60}, 1800), ({'minutes': 1071, 'validations': [['pct', 50], ['free_min', 60], ['pct', 10], ['free_min', 60]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 60}, 1200), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550)], [({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 297, 'validations': [['pct', 10], ['free_min', 60], ['pct', 25]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 120}, 900), ({'minutes': 516, 'validations': [['free_min', 30], ['free_min', 60], ['free_min', 30], ['pct', 25]], 'hourly': 300, 'daily_max': 1800, 'max_free_min': 120}, 1350), ({'minutes': 936, 'validations': [['pct', 50], ['free_min', 120], ['pct', 25], ['flat', 500]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 700), ({'minutes': 814, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 1800, 'max_free_min': 120}, 1800), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 1039, 'validations': [['free_min', 90], ['free_min', 90], ['flat', 250], ['free_min', 60]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 2150), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550)], [({'minutes': 1392, 'validations': [], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 2400), ({'minutes': 1332, 'validations': [['flat', 500], ['pct', 50], ['pct', 25]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 700), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 195, 'validations': [['free_min', 60], ['free_min', 30], ['pct', 10]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 60}, 540), ({'minutes': 899, 'validations': [['free_min', 120]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 180}, 3000), ({'minutes': 1058, 'validations': [['pct', 50], ['pct', 25], ['free_min', 60]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 180}, 900), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550)]]
for i, (args, expected) in enumerate(fixtures[N-1]):
    check('fee oracle' + ' %d' % i, solve(args), expected)
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
fee oracle 0	`1800`	`1800`	Passed
fee oracle 1	`650`	`650`	Passed
fee oracle 2	`1800`	`1800`	Passed
fee oracle 3	`700`	`700`	Passed
fee oracle 4	`2150`	`2150`	Passed
fee oracle 5	`730`	`550`	Failed
fee oracle 6	`300`	`300`	Passed
fee oracle 7	`2200`	`1000`	Failed

SHA-256 / 34a29836c785d2f4dcf96cb7b08943a1ec8b68bc30e29362a57742df9cd62a72

3 / The verified repair

Exit 0

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    free = min(x['max_free_min'], sum(v for k, v in x['validations'] if k == 'free_min'))
    bill = max(0, x['minutes'] - free)
    fee = min(x['daily_max'], -(-bill // 60) * x['hourly'])
    pcts = [v for k, v in x['validations'] if k == 'pct']
    if pcts:
        fee -= fee * max(pcts) // 100
    flat = sum(v for k, v in x['validations'] if k == 'flat')
    return max(0, fee - flat)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[({'minutes': 846, 'validations': [['pct', 10], ['pct', 25], ['free_min', 120], ['free_min', 120]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 1800), ({'minutes': 1263, 'validations': [['pct', 25], ['flat', 250], ['pct', 50]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 120}, 650), ({'minutes': 881, 'validations': [['free_min', 120]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 120}, 1800), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 1001, 'validations': [['flat', 250], ['free_min', 15], ['free_min', 90]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 2150), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 1217, 'validations': [['pct', 50], ['pct', 10], ['flat', 500]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 120}, 1000)], [({'minutes': 257, 'validations': [['pct', 10], ['pct', 25], ['free_min', 120]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 180}, 675), ({'minutes': 17, 'validations': [['free_min', 60], ['free_min', 90]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 0), ({'minutes': 605, 'validations': [['pct', 50], ['pct', 25]], 'hourly': 350, 'daily_max': 1800, 'max_free_min': 180}, 900), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 1047, 'validations': [], 'hourly': 200, 'daily_max': 3000, 'max_free_min': 180}, 3000), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550), ({'minutes': 230, 'validations': [['flat', 250], ['free_min', 120]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 180}, 150), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700)], [({'minutes': 1076, 'validations': [], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 180}, 3000), ({'minutes': 1191, 'validations': [['pct', 25], ['pct', 25], ['flat', 500]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 120}, 1300), ({'minutes': 5, 'validations': [['flat', 100], ['free_min', 15], ['free_min', 120]], 'hourly': 350, 'daily_max': 1800, 'max_free_min': 180}, 0), ({'minutes': 740, 'validations': [['free_min', 90]], 'hourly': 300, 'daily_max': 1800, 'max_free_min': 60}, 1800), ({'minutes': 1071, 'validations': [['pct', 50], ['free_min', 60], ['pct', 10], ['free_min', 60]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 60}, 1200), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550)], [({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 297, 'validations': [['pct', 10], ['free_min', 60], ['pct', 25]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 120}, 900), ({'minutes': 516, 'validations': [['free_min', 30], ['free_min', 60], ['free_min', 30], ['pct', 25]], 'hourly': 300, 'daily_max': 1800, 'max_free_min': 120}, 1350), ({'minutes': 936, 'validations': [['pct', 50], ['free_min', 120], ['pct', 25], ['flat', 500]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 700), ({'minutes': 814, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 1800, 'max_free_min': 120}, 1800), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 1039, 'validations': [['free_min', 90], ['free_min', 90], ['flat', 250], ['free_min', 60]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 2150), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550)], [({'minutes': 1392, 'validations': [], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 2400), ({'minutes': 1332, 'validations': [['flat', 500], ['pct', 50], ['pct', 25]], 'hourly': 200, 'daily_max': 2400, 'max_free_min': 60}, 700), ({'minutes': 150, 'validations': [['free_min', 60], ['free_min', 60], ['free_min', 60]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 300), ({'minutes': 195, 'validations': [['free_min', 60], ['free_min', 30], ['pct', 10]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 60}, 540), ({'minutes': 899, 'validations': [['free_min', 120]], 'hourly': 300, 'daily_max': 3000, 'max_free_min': 180}, 3000), ({'minutes': 1058, 'validations': [['pct', 50], ['pct', 25], ['free_min', 60]], 'hourly': 200, 'daily_max': 1800, 'max_free_min': 180}, 900), ({'minutes': 95, 'validations': [['free_min', 30]], 'hourly': 350, 'daily_max': 2400, 'max_free_min': 120}, 700), ({'minutes': 200, 'validations': [['pct', 25], ['pct', 10], ['flat', 100], ['flat', 250]], 'hourly': 300, 'daily_max': 2400, 'max_free_min': 120}, 550)]]
for i, (args, expected) in enumerate(fixtures[N-1]):
    check('fee oracle' + ' %d' % i, solve(args), expected)
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
fee oracle 0	`1800`	`1800`	Passed
fee oracle 1	`650`	`650`	Passed
fee oracle 2	`1800`	`1800`	Passed
fee oracle 3	`700`	`700`	Passed
fee oracle 4	`2150`	`2150`	Passed
fee oracle 5	`550`	`550`	Passed
fee oracle 6	`300`	`300`	Passed
fee oracle 7	`1000`	`1000`	Passed

SHA-256 / f28cbe7fae2c80a405791cb6fd6aba1a12c4f55c65e38d1a97f816a25185db7a

Verification & scope

A deterministic, bounded toy model with a stipulated contract; it makes no claim of conformance to any agency manual or standard. 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 2026-09-29T14:48:04.450046+00:00.

Case digest / a0a586f058b571084a07aedf94702b13fafe47f1825f169dce2d9f6db08687a0