FA-85421 / Ride-hailing fare and surge pricing / Open access
Voided quote recomputed from the estimated distance · case 01
A rider who lengthened the trip pays for the estimated distance.
ROOT CAUSE
The meter recompute uses the quote estimate instead of actual meters.
VERIFIED REPAIR
Recompute from actual meters and seconds.
Unsuccessful approach: Using the estimated time instead of actual seconds still prices the old trip.
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'] + (quote['est_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: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 6000, 's': 900, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1385, 'reason': 'stops'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 6000, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1261, 'reason': 'distance'}),
('second regression',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 1250},
{'dest': 'D2', 'm': 5000, 's': 900, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1125, 'reason': 'destination'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 10001, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 10000, 's': 1801, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2501, 'reason': 'stops'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 12500, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 9800, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 6000, 's': 1350, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1738, 'reason': 'stops'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 10002, 's': 1100, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2092, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 1252, 's': 1701, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 905, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 10000, 's': 1800, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 1252, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 1200, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 3800, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 10002, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2151, 'reason': 'distance'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 10000, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1851, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 1002, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 760, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 4000, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 3800, 's': 1200, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 5000, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 7801, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 3999},
{'dest': 'D2', 'm': 802, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 667, 'reason': 'destination'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 5001, 's': 1701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1392, 'reason': 'destination'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 10001, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1900, 'reason': 'destination'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 9800, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 802, 's': 1800, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 9800, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 10002, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2850, 'reason': 'distance'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 12501, 's': 902, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2064, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 9800, 's': 900, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1578, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 8001, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 802, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 3800, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 4',
[{'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'})]]
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: recompute inputs | {'charged': 1165, 'reason': 'stops'} | {'charged': 1385, 'reason': 'stops'} | Failed |
| partial repair probe: recompute inputs | {'charged': 1041, 'reason': 'distance'} | {'charged': 1261, 'reason': 'distance'} | Failed |
| second regression | {'charged': 1000, 'reason': 'destination'} | {'charged': 1125, 'reason': 'destination'} | Failed |
| normal control 1 | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 2 | {'charged': 2501, 'reason': 'stops'} | {'charged': 2501, 'reason': 'stops'} | Passed |
| normal control 3 | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 4 | {'charged': 3999, 'reason': 'quote'} | {'charged': 3999, 'reason': 'quote'} | Passed |
SHA-256 / 4a74e5874de2efa4974b1564c7b289e2fe42693907368a578bb9ca3e51f148c7
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 + (quote['est_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: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 6000, 's': 900, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1385, 'reason': 'stops'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 6000, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1261, 'reason': 'distance'}),
('second regression',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 1250},
{'dest': 'D2', 'm': 5000, 's': 900, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1125, 'reason': 'destination'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 10001, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 10000, 's': 1801, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2501, 'reason': 'stops'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 12500, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 9800, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 6000, 's': 1350, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1738, 'reason': 'stops'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 10002, 's': 1100, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2092, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 1252, 's': 1701, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 905, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 10000, 's': 1800, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 1252, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 1200, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 3800, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 10002, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2151, 'reason': 'distance'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 10000, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1851, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 1002, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 760, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 4000, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 3800, 's': 1200, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 5000, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 7801, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 3999},
{'dest': 'D2', 'm': 802, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 667, 'reason': 'destination'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 5001, 's': 1701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1392, 'reason': 'destination'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 10001, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1900, 'reason': 'destination'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 9800, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 802, 's': 1800, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 9800, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 10002, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2850, 'reason': 'distance'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 12501, 's': 902, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2064, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 9800, 's': 900, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1578, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 8001, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 802, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 3800, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 4',
[{'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'})]]
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: recompute inputs | {'charged': 1385, 'reason': 'stops'} | {'charged': 1385, 'reason': 'stops'} | Passed |
| partial repair probe: recompute inputs | {'charged': 1060, 'reason': 'distance'} | {'charged': 1261, 'reason': 'distance'} | Failed |
| second regression | {'charged': 1125, 'reason': 'destination'} | {'charged': 1125, 'reason': 'destination'} | Passed |
| normal control 1 | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 2 | {'charged': 2501, 'reason': 'stops'} | {'charged': 2501, 'reason': 'stops'} | Passed |
| normal control 3 | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 4 | {'charged': 3999, 'reason': 'quote'} | {'charged': 3999, 'reason': 'quote'} | Passed |
SHA-256 / e2ab2ce759f7e28c5dfa763e0c37c3647aec795a17b52e40b0b96a566cb954e3
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: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 6000, 's': 900, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1385, 'reason': 'stops'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 6000, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1261, 'reason': 'distance'}),
('second regression',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 1250},
{'dest': 'D2', 'm': 5000, 's': 900, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1125, 'reason': 'destination'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 10001, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 10000, 's': 1801, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2501, 'reason': 'stops'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 12500, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 9800, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 6000, 's': 1350, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1738, 'reason': 'stops'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 10002, 's': 1100, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2092, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 1252, 's': 1701, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 905, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 10000, 's': 1800, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 1252, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 1200, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 3800, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 10002, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2151, 'reason': 'distance'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 10000, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1851, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 1002, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 760, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 4000, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 3800, 's': 1200, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 5000, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 7801, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 3999},
{'dest': 'D2', 'm': 802, 's': 1100, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 667, 'reason': 'destination'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 5001, 's': 1701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1392, 'reason': 'destination'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 10001, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1900, 'reason': 'destination'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 9800, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 802, 's': 1800, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 9800, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'})],
[('regression: recompute inputs',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1200, 'price': 3999},
{'dest': 'D1', 'm': 10002, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2850, 'reason': 'distance'}),
('partial repair probe: recompute inputs',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 12501, 's': 902, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 2064, 'reason': 'stops'}),
('second regression',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 9800, 's': 900, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1578, 'reason': 'stops'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 8001, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 802, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 3800, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('normal control 4',
[{'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'})]]
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: recompute inputs | {'charged': 1385, 'reason': 'stops'} | {'charged': 1385, 'reason': 'stops'} | Passed |
| partial repair probe: recompute inputs | {'charged': 1261, 'reason': 'distance'} | {'charged': 1261, 'reason': 'distance'} | Passed |
| second regression | {'charged': 1125, 'reason': 'destination'} | {'charged': 1125, 'reason': 'destination'} | Passed |
| normal control 1 | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 2 | {'charged': 2501, 'reason': 'stops'} | {'charged': 2501, 'reason': 'stops'} | Passed |
| normal control 3 | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 4 | {'charged': 3999, 'reason': 'quote'} | {'charged': 3999, 'reason': 'quote'} | Passed |
SHA-256 / 7eacd7f17336ab47ac7a7e6e27bd5b566fd9716a80ebaa98df4098efbce5a419
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 2026-09-29T14:50:40.274295+00:00.
Case digest / e704d3efd46729452bdec5ec3bdd92006a9ba09630714615105f444ea392cf82