FA-85416 / Ride-hailing fare and surge pricing / Open access
Added stop reported instead of destination change · case 01
Receipts cite added stops when the rider also changed the destination.
ROOT CAUSE
The stop check runs before the destination check.
VERIFIED REPAIR
Check destination change first, then stops.
Unsuccessful approach: Merging both checks labels stop-only changes as destination changes.
Case contract
An upfront quote is honored unless (checked in this order) the destination changed, stops were added, actual distance exceeds the estimate by more than 25% (m*4 > est*5), or actual time exceeds it by more than 50% (s*2 > est*3). Otherwise-recomputed fares use actual meters and seconds: base + half-up(m*per_km/1000) + half-up(s*per_min/60). Return the charge and the reason code.
Why this case matters
Ride-hailing prices are computed per trip at scale; ordering, unit and boundary slips become systematic over- or under-charging.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(quote, actual, rate):
def metered():
return rate['base'] + (actual['m'] * rate['per_km'] * 2 + 1000) // 2000 + (actual['s'] * rate['per_min'] * 2 + 60) // 120
if actual['stops_added'] > 0:
reason = 'stops'
elif actual['dest'] != quote['dest']:
reason = 'destination'
elif actual['m'] * 4 > quote['est_m'] * 5:
reason = 'distance'
elif actual['s'] * 2 > quote['est_s'] * 3:
reason = 'time'
else:
reason = 'quote'
charged = quote['price'] if reason == 'quote' else metered()
return {'charged': charged, 'reason': reason}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 6000, 's': 2702, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2526, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 10001, 's': 1701, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1867, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 8001, 's': 1100, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1722, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 1253, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1914, 'reason': 'distance'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 1200, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 1253, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1558, 'reason': 'distance'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 1250},
{'dest': 'D2', 'm': 4000, 's': 2701, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2276, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 1503, 's': 1800, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 965, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 7801, 's': 1202, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1759, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 802, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 1253, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 639, 'reason': 'distance'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 1250},
{'dest': 'D2', 'm': 1253, 's': 1701, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 905, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 10001, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2088, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 901, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1726, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 7801, 's': 1351, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1846, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 9800, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1579, 'reason': 'time'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 10001, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1826, 'reason': 'time'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 10002, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2350, 'reason': 'distance'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 2100},
{'dest': 'D2', 'm': 12001, 's': 2702, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2421, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 7801, 's': 800, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1642, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 5000, 's': 2400, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1625, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 5000, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2851, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 8001, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1381, 'reason': 'time'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 6000, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1060, 'reason': 'distance'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 12501, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1976, 'reason': 'distance'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 2100},
{'dest': 'D2', 'm': 10002, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1900, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 1002, 's': 901, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 610, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 2100},
{'dest': 'D2', 'm': 1253, 's': 1202, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1058, 'reason': 'destination'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 1250},
{'dest': 'D2', 'm': 9800, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2225, 'reason': 'destination'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 1250},
{'dest': 'D2', 'm': 5001, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1051, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D2', 'm': 4000, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 991, 'reason': 'destination'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 802, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 689, 'reason': 'time'})]]
for label, args, expected in fixtures[N-1]:
check(label, 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 |
|---|---|---|---|
| regression: reason precedence | {'charged': 2526, 'reason': 'stops'} | {'charged': 2526, 'reason': 'destination'} | Failed |
| partial repair probe: reason precedence | {'charged': 1867, 'reason': 'stops'} | {'charged': 1867, 'reason': 'stops'} | Passed |
| second regression | {'charged': 1722, 'reason': 'stops'} | {'charged': 1722, 'reason': 'stops'} | Passed |
| normal control 1 | {'charged': 1914, 'reason': 'distance'} | {'charged': 1914, 'reason': 'distance'} | Passed |
| normal control 2 | {'charged': 1250, 'reason': 'quote'} | {'charged': 1250, 'reason': 'quote'} | Passed |
| normal control 3 | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 4 | {'charged': 1558, 'reason': 'distance'} | {'charged': 1558, 'reason': 'distance'} | Passed |
SHA-256 / 7d8435ae3057ef38141b80db1ecc0a716ed58083aecfa6961dee47b6c626b733
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(quote, actual, rate):
def metered():
return rate['base'] + (actual['m'] * rate['per_km'] * 2 + 1000) // 2000 + (actual['s'] * rate['per_min'] * 2 + 60) // 120
if actual['dest'] != quote['dest'] or actual['stops_added'] > 0:
reason = 'destination'
elif actual['m'] * 4 > quote['est_m'] * 5:
reason = 'distance'
elif actual['s'] * 2 > quote['est_s'] * 3:
reason = 'time'
else:
reason = 'quote'
charged = quote['price'] if reason == 'quote' else metered()
return {'charged': charged, 'reason': reason}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 6000, 's': 2702, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2526, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 10001, 's': 1701, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1867, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 8001, 's': 1100, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1722, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 1253, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1914, 'reason': 'distance'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 1200, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 1253, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1558, 'reason': 'distance'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 1250},
{'dest': 'D2', 'm': 4000, 's': 2701, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2276, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 1503, 's': 1800, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 965, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 7801, 's': 1202, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1759, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 802, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 1253, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 639, 'reason': 'distance'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 1250},
{'dest': 'D2', 'm': 1253, 's': 1701, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 905, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 10001, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2088, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 901, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1726, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 7801, 's': 1351, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1846, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 9800, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1579, 'reason': 'time'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 10001, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1826, 'reason': 'time'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 10002, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2350, 'reason': 'distance'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 2100},
{'dest': 'D2', 'm': 12001, 's': 2702, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2421, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 7801, 's': 800, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1642, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 5000, 's': 2400, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1625, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 5000, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2851, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 8001, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1381, 'reason': 'time'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 6000, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1060, 'reason': 'distance'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 12501, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1976, 'reason': 'distance'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 2100},
{'dest': 'D2', 'm': 10002, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1900, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 1002, 's': 901, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 610, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 2100},
{'dest': 'D2', 'm': 1253, 's': 1202, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1058, 'reason': 'destination'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 1250},
{'dest': 'D2', 'm': 9800, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2225, 'reason': 'destination'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 1250},
{'dest': 'D2', 'm': 5001, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1051, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D2', 'm': 4000, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 991, 'reason': 'destination'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 802, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 689, 'reason': 'time'})]]
for label, args, expected in fixtures[N-1]:
check(label, 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 |
|---|---|---|---|
| regression: reason precedence | {'charged': 2526, 'reason': 'destination'} | {'charged': 2526, 'reason': 'destination'} | Passed |
| partial repair probe: reason precedence | {'charged': 1867, 'reason': 'destination'} | {'charged': 1867, 'reason': 'stops'} | Failed |
| second regression | {'charged': 1722, 'reason': 'destination'} | {'charged': 1722, 'reason': 'stops'} | Failed |
| normal control 1 | {'charged': 1914, 'reason': 'distance'} | {'charged': 1914, 'reason': 'distance'} | Passed |
| normal control 2 | {'charged': 1250, 'reason': 'quote'} | {'charged': 1250, 'reason': 'quote'} | Passed |
| normal control 3 | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 4 | {'charged': 1558, 'reason': 'distance'} | {'charged': 1558, 'reason': 'distance'} | Passed |
SHA-256 / 68bc7ce599dd3c99bc31aa58730c4c27ccee3903eae6d6f1dd37351bc7025c8b
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(quote, actual, rate):
def metered():
return rate['base'] + (actual['m'] * rate['per_km'] * 2 + 1000) // 2000 + (actual['s'] * rate['per_min'] * 2 + 60) // 120
if actual['dest'] != quote['dest']:
reason = 'destination'
elif actual['stops_added'] > 0:
reason = 'stops'
elif actual['m'] * 4 > quote['est_m'] * 5:
reason = 'distance'
elif actual['s'] * 2 > quote['est_s'] * 3:
reason = 'time'
else:
reason = 'quote'
charged = quote['price'] if reason == 'quote' else metered()
return {'charged': charged, 'reason': reason}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 6000, 's': 2702, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2526, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 10001, 's': 1701, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1867, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 8001, 's': 1100, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1722, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 1253, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1914, 'reason': 'distance'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 1200, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 1253, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1558, 'reason': 'distance'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 1250},
{'dest': 'D2', 'm': 4000, 's': 2701, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2276, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 1503, 's': 1800, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 965, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 7801, 's': 1202, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1759, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 802, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 1253, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 639, 'reason': 'distance'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 1250},
{'dest': 'D2', 'm': 1253, 's': 1701, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 905, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 10001, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2088, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 901, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1726, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 7801, 's': 1351, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1846, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 9800, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1579, 'reason': 'time'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 10001, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1826, 'reason': 'time'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 10002, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2350, 'reason': 'distance'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 2100},
{'dest': 'D2', 'm': 12001, 's': 2702, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2421, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 7801, 's': 800, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1642, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 5000, 's': 2400, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1625, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 5000, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2851, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 8001, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1381, 'reason': 'time'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 6000, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1060, 'reason': 'distance'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 12501, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1976, 'reason': 'distance'})],
[('regression: reason precedence',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 2100},
{'dest': 'D2', 'm': 10002, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1900, 'reason': 'destination'}),
('partial repair probe: reason precedence',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 1002, 's': 901, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 610, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 2100},
{'dest': 'D2', 'm': 1253, 's': 1202, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1058, 'reason': 'destination'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 1250},
{'dest': 'D2', 'm': 9800, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2225, 'reason': 'destination'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 1250},
{'dest': 'D2', 'm': 5001, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1051, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D2', 'm': 4000, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 991, 'reason': 'destination'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 802, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 689, 'reason': 'time'})]]
for label, args, expected in fixtures[N-1]:
check(label, 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 |
|---|---|---|---|
| regression: reason precedence | {'charged': 2526, 'reason': 'destination'} | {'charged': 2526, 'reason': 'destination'} | Passed |
| partial repair probe: reason precedence | {'charged': 1867, 'reason': 'stops'} | {'charged': 1867, 'reason': 'stops'} | Passed |
| second regression | {'charged': 1722, 'reason': 'stops'} | {'charged': 1722, 'reason': 'stops'} | Passed |
| normal control 1 | {'charged': 1914, 'reason': 'distance'} | {'charged': 1914, 'reason': 'distance'} | Passed |
| normal control 2 | {'charged': 1250, 'reason': 'quote'} | {'charged': 1250, 'reason': 'quote'} | Passed |
| normal control 3 | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 4 | {'charged': 1558, 'reason': 'distance'} | {'charged': 1558, 'reason': 'distance'} | Passed |
SHA-256 / c68d4317809ba67ae70eedf3936ac1d2918b1507c5842a4d29365ce79b6de81f
Verification & scope
A deterministic toy pricing contract stipulated for this example; it does not reproduce the pricing of any real ride-hailing operator or regulator. 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 2026-09-29T14:50:40.242657+00:00.
Case digest / 75f7a459cab1c55a01c418552615cbc6a4339eb4c6081a67a7801aac93f10123