FA-85411 / Ride-hailing fare and surge pricing / Open access
Time tolerance ratio inverted · case 01
Any trip taking more than two thirds of the estimated time is metered.
ROOT CAUSE
The 1.5 tolerance is written as 3/2 on the wrong side, becoming 2/3.
VERIFIED REPAIR
Compare actual*2 against estimate*3.
Unsuccessful approach: Also requiring a longer route ignores delays on the planned route.
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['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'] * 3 > quote['est_s'] * 2:
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: time deviation ratio',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 5000, 's': 800, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 802, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1501, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 1252, 's': 1351, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1145, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 5001, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1801, 'reason': 'distance'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D2', 'm': 8001, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1551, 'reason': 'destination'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 1250},
{'dest': 'D2', 'm': 5000, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 992, 'reason': 'destination'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 7801, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 1002, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1710, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 4000, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1041, 'reason': 'time'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 12501, 's': 1800, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2813, 'reason': 'distance'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 3999},
{'dest': 'D2', 'm': 10000, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2850, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 1253, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 807, 'reason': 'stops'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 3999},
{'dest': 'D2', 'm': 10000, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2088, 'reason': 'destination'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 7801, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 7801, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1584, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 1252, 's': 800, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 4000, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1841, 'reason': 'destination'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D2', 'm': 5000, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1125, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D2', 'm': 3800, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1026, 'reason': 'destination'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 12001, 's': 601, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1720, 'reason': 'stops'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 12500, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 3999},
{'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': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1240, 'reason': 'time'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 1503, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1165, 'reason': 'distance'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 2100},
{'dest': 'D2', 'm': 10000, 's': 900, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1975, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 10002, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2876, 'reason': 'distance'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D2', 'm': 1503, 's': 1202, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1089, 'reason': 'destination'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 4000, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 9800, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2678, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 1002, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 1252, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 739, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 12001, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2721, 'reason': 'distance'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 1252, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1389, 'reason': 'time'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 1253, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 938, 'reason': 'distance'})]]
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: time deviation ratio | {'charged': 1017, 'reason': 'time'} | {'charged': 1250, 'reason': 'quote'} | Failed |
| partial repair probe: time deviation ratio | {'charged': 1501, 'reason': 'time'} | {'charged': 1501, 'reason': 'time'} | Passed |
| second regression | {'charged': 2776, 'reason': 'time'} | {'charged': 2100, 'reason': 'quote'} | Failed |
| normal control 1 | {'charged': 1145, 'reason': 'time'} | {'charged': 1145, 'reason': 'time'} | Passed |
| normal control 2 | {'charged': 1801, 'reason': 'distance'} | {'charged': 1801, 'reason': 'distance'} | Passed |
| normal control 3 | {'charged': 1551, 'reason': 'destination'} | {'charged': 1551, 'reason': 'destination'} | Passed |
| normal control 4 | {'charged': 992, 'reason': 'destination'} | {'charged': 992, 'reason': 'destination'} | Passed |
SHA-256 / de5db6cac9e1762af63d7297048dc61246809aaf1d7b22effa209002c9e23e1e
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']:
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 and actual['m'] > quote['est_m']:
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: time deviation ratio',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 5000, 's': 800, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 802, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1501, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 1252, 's': 1351, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1145, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 5001, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1801, 'reason': 'distance'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D2', 'm': 8001, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1551, 'reason': 'destination'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 1250},
{'dest': 'D2', 'm': 5000, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 992, 'reason': 'destination'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 7801, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 1002, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1710, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 4000, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1041, 'reason': 'time'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 12501, 's': 1800, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2813, 'reason': 'distance'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 3999},
{'dest': 'D2', 'm': 10000, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2850, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 1253, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 807, 'reason': 'stops'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 3999},
{'dest': 'D2', 'm': 10000, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2088, 'reason': 'destination'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 7801, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 7801, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1584, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 1252, 's': 800, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 4000, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1841, 'reason': 'destination'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D2', 'm': 5000, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1125, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D2', 'm': 3800, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1026, 'reason': 'destination'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 12001, 's': 601, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1720, 'reason': 'stops'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 12500, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 3999},
{'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': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1240, 'reason': 'time'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 1503, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1165, 'reason': 'distance'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 2100},
{'dest': 'D2', 'm': 10000, 's': 900, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1975, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 10002, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2876, 'reason': 'distance'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D2', 'm': 1503, 's': 1202, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1089, 'reason': 'destination'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 4000, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 9800, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2678, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 1002, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 1252, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 739, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 12001, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2721, 'reason': 'distance'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 1252, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1389, 'reason': 'time'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 1253, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 938, 'reason': 'distance'})]]
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: time deviation ratio | {'charged': 1250, 'reason': 'quote'} | {'charged': 1250, 'reason': 'quote'} | Passed |
| partial repair probe: time deviation ratio | {'charged': 3999, 'reason': 'quote'} | {'charged': 1501, 'reason': 'time'} | Failed |
| second regression | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 1 | {'charged': 1145, 'reason': 'time'} | {'charged': 1145, 'reason': 'time'} | Passed |
| normal control 2 | {'charged': 1801, 'reason': 'distance'} | {'charged': 1801, 'reason': 'distance'} | Passed |
| normal control 3 | {'charged': 1551, 'reason': 'destination'} | {'charged': 1551, 'reason': 'destination'} | Passed |
| normal control 4 | {'charged': 992, 'reason': 'destination'} | {'charged': 992, 'reason': 'destination'} | Passed |
SHA-256 / 1a674edffa27764bd17c8b010acc691575905db2b054db4c3cf1628f53156043
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: time deviation ratio',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 5000, 's': 800, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 802, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1501, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 8001, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2100, 'reason': 'quote'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 1252, 's': 1351, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1145, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 2100},
{'dest': 'D1', 'm': 5001, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1801, 'reason': 'distance'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 2100},
{'dest': 'D2', 'm': 8001, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1551, 'reason': 'destination'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 1250},
{'dest': 'D2', 'm': 5000, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 992, 'reason': 'destination'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 900, 'price': 3999},
{'dest': 'D1', 'm': 7801, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 3999, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 1002, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1710, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 4000, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1041, 'reason': 'time'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 12501, 's': 1800, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2813, 'reason': 'distance'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 3999},
{'dest': 'D2', 'm': 10000, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 2850, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 1253, 's': 1351, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 807, 'reason': 'stops'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 3999},
{'dest': 'D2', 'm': 10000, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2088, 'reason': 'destination'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 7801, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 7801, 's': 902, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1584, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 900, 'price': 1250},
{'dest': 'D1', 'm': 1252, 's': 800, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 1801, 'price': 3999},
{'dest': 'D2', 'm': 4000, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1841, 'reason': 'destination'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D2', 'm': 5000, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 1125, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 601, 'price': 3999},
{'dest': 'D2', 'm': 3800, 's': 601, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1026, 'reason': 'destination'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 12001, 's': 601, 'stops_added': 1}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1720, 'reason': 'stops'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 3999},
{'dest': 'D1', 'm': 12500, 's': 901, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 20}],
{'charged': 3999, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 601, 'price': 3999},
{'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': 4000, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 4000, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1240, 'reason': 'time'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 1250},
{'dest': 'D1', 'm': 1503, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 1165, 'reason': 'distance'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 900, 'price': 2100},
{'dest': 'D2', 'm': 10000, 's': 900, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1975, 'reason': 'destination'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 1250},
{'dest': 'D1', 'm': 10002, 's': 2701, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2876, 'reason': 'distance'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D2', 'm': 1503, 's': 1202, 'stops_added': 1}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1089, 'reason': 'destination'})],
[('regression: time deviation ratio',
[{'dest': 'D1', 'est_m': 4000, 'est_s': 900, 'price': 2100},
{'dest': 'D1', 'm': 4000, 's': 1350, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2100, 'reason': 'quote'}),
('partial repair probe: time deviation ratio',
[{'dest': 'D1', 'est_m': 10000, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 9800, 's': 2400, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 2678, 'reason': 'time'}),
('second regression',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 1250},
{'dest': 'D1', 'm': 1002, 's': 501, 'stops_added': 0}, {'base': 200, 'per_km': 125, 'per_min': 35}],
{'charged': 1250, 'reason': 'quote'}),
('normal control 1',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 601, 'price': 2100},
{'dest': 'D1', 'm': 1252, 's': 1202, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 739, 'reason': 'time'}),
('normal control 2',
[{'dest': 'D1', 'est_m': 8001, 'est_s': 1801, 'price': 3999},
{'dest': 'D1', 'm': 12001, 's': 3602, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 2721, 'reason': 'distance'}),
('normal control 3',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 1252, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 35}],
{'charged': 1389, 'reason': 'time'}),
('normal control 4',
[{'dest': 'D1', 'est_m': 1002, 'est_s': 1200, 'price': 2100},
{'dest': 'D1', 'm': 1253, 's': 1801, 'stops_added': 0}, {'base': 200, 'per_km': 110, 'per_min': 20}],
{'charged': 938, 'reason': 'distance'})]]
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: time deviation ratio | {'charged': 1250, 'reason': 'quote'} | {'charged': 1250, 'reason': 'quote'} | Passed |
| partial repair probe: time deviation ratio | {'charged': 1501, 'reason': 'time'} | {'charged': 1501, 'reason': 'time'} | Passed |
| second regression | {'charged': 2100, 'reason': 'quote'} | {'charged': 2100, 'reason': 'quote'} | Passed |
| normal control 1 | {'charged': 1145, 'reason': 'time'} | {'charged': 1145, 'reason': 'time'} | Passed |
| normal control 2 | {'charged': 1801, 'reason': 'distance'} | {'charged': 1801, 'reason': 'distance'} | Passed |
| normal control 3 | {'charged': 1551, 'reason': 'destination'} | {'charged': 1551, 'reason': 'destination'} | Passed |
| normal control 4 | {'charged': 992, 'reason': 'destination'} | {'charged': 992, 'reason': 'destination'} | Passed |
SHA-256 / dda3f51fd52bf289860885727fb087da8551563a6e451631dbd7270a5564479a
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 2026-09-29T14:50:40.232155+00:00.
Case digest / 0517b94ecce14f5ce17ba8a21375816016beb2c2bc350dfcf3ace13d4bd216e2