FA-85571 / Ride-hailing fare and surge pricing / Open access
Tips counted toward the minimum trip pay · case 01
A generous tip silently replaces the platform-funded minimum pay top-up.
ROOT CAUSE
The minimum-pay floor is applied after tips are added.
THE FAILURE
The minimum-pay floor is applied after tips are added.
Unsuccessful approach: Counting tolls toward the minimum lets reimbursements replace the top-up.
Case contract
Driver pay per trip in cents: the surged core fare (core x surge tenths, half up) minus the commission percentage (floored), raised to min_pay if lower; tolls and tips pass through untouched and are outside commission and the minimum; the booking fee is platform revenue. A quest bonus is paid when this trip is exactly the Nth trip for a quest threshold N (trips_before + 1 == N). Return pay and bonus.
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(trip, plan):
surged = (trip['core'] * trip['surge'] * 2 + 10) // 20
share = surged * (100 - plan['commission']) // 100
pay = max(share + trip['tip'], plan['min_pay']) + trip['tolls']
n = plan['trips_before'] + 1
bonus = 0
for need, amount in plan['quests']:
if n == need:
bonus += amount
return {'pay': pay, 'bonus': bonus}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: minimum pay scope',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 1000}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 15, 'tip': 0, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1000}),
('second regression',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 900}),
('normal control 1',
[{'booking_fee': 250, 'core': 2500, 'surge': 10, 'tip': 200, 'tolls': 0},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 2075}),
('normal control 2',
[{'booking_fee': 0, 'core': 900, 'surge': 12, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 1364}),
('normal control 3',
[{'booking_fee': 0, 'core': 1733, 'surge': 10, 'tip': 500, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 2186}),
('normal control 4',
[{'booking_fee': 250, 'core': 900, 'surge': 10, 'tip': 0, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1020})],
[('regression: minimum pay scope',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 1200}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 12, 'tip': 0, 'tolls': 300},
{'commission': 25, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 800}),
('second regression',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 0, 'tolls': 300},
{'commission': 25, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 800}),
('normal control 1',
[{'booking_fee': 0, 'core': 2500, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 2500}),
('normal control 2',
[{'booking_fee': 0, 'core': 900, 'surge': 12, 'tip': 500, 'tolls': 0},
{'commission': 25, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 1310}),
('normal control 3',
[{'booking_fee': 250, 'core': 1733, 'surge': 20, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 3272}),
('normal control 4',
[{'booking_fee': 250, 'core': 450, 'surge': 15, 'tip': 0, 'tolls': 0},
{'commission': 25, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 506})],
[('regression: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 15, 'tip': 500, 'tolls': 0},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 1200}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 10, 'tip': 0, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 700}),
('second regression',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 1200}),
('normal control 1',
[{'booking_fee': 0, 'core': 1733, 'surge': 20, 'tip': 500, 'tolls': 300},
{'commission': 25, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 3399}),
('normal control 2',
[{'booking_fee': 250, 'core': 450, 'surge': 20, 'tip': 500, 'tolls': 300},
{'commission': 25, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 1475}),
('normal control 3',
[{'booking_fee': 250, 'core': 2500, 'surge': 10, 'tip': 200, 'tolls': 0},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 2075}),
('normal control 4',
[{'booking_fee': 0, 'core': 2500, 'surge': 12, 'tip': 500, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 3200})],
[('regression: minimum pay scope',
[{'booking_fee': 0, 'core': 450, 'surge': 12, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 1200}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 900, 'surge': 10, 'tip': 500, 'tolls': 300},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1500}),
('second regression',
[{'booking_fee': 250, 'core': 450, 'surge': 12, 'tip': 500, 'tolls': 0},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1200}),
('normal control 1',
[{'booking_fee': 250, 'core': 1733, 'surge': 15, 'tip': 200, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 2280}),
('normal control 2',
[{'booking_fee': 0, 'core': 2500, 'surge': 10, 'tip': 0, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 2000}),
('normal control 3',
[{'booking_fee': 0, 'core': 450, 'surge': 15, 'tip': 0, 'tolls': 0},
{'commission': 25, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 506}),
('normal control 4',
[{'booking_fee': 0, 'core': 1733, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 25, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1799})],
[('regression: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 10, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 1000}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 12, 'tip': 500, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 1500}),
('second regression',
[{'booking_fee': 250, 'core': 450, 'surge': 12, 'tip': 200, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 700}),
('normal control 1',
[{'booking_fee': 250, 'core': 900, 'surge': 20, 'tip': 0, 'tolls': 0},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 20}],
{'bonus': 0, 'pay': 1440}),
('normal control 2',
[{'booking_fee': 250, 'core': 2500, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 2500}),
('normal control 3',
[{'booking_fee': 0, 'core': 2500, 'surge': 15, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 3500}),
('normal control 4',
[{'booking_fee': 250, 'core': 1733, 'surge': 12, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 2164})]]
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: minimum pay scope | {'bonus': 2500, 'pay': 860} | {'bonus': 2500, 'pay': 1000} | Failed |
| partial repair probe: minimum pay scope | {'bonus': 0, 'pay': 1000} | {'bonus': 0, 'pay': 1000} | Passed |
| second regression | {'bonus': 1000, 'pay': 860} | {'bonus': 1000, 'pay': 900} | Failed |
| normal control 1 | {'bonus': 1500, 'pay': 2075} | {'bonus': 1500, 'pay': 2075} | Passed |
| normal control 2 | {'bonus': 1000, 'pay': 1364} | {'bonus': 1000, 'pay': 1364} | Passed |
| normal control 3 | {'bonus': 1000, 'pay': 2186} | {'bonus': 1000, 'pay': 2186} | Passed |
| normal control 4 | {'bonus': 0, 'pay': 1020} | {'bonus': 0, 'pay': 1020} | Passed |
SHA-256 / 9720dc7ebd5fc1be2079730eabd83bffc6c453a3f6c1714aab01f1113f387d5c
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(trip, plan):
surged = (trip['core'] * trip['surge'] * 2 + 10) // 20
share = surged * (100 - plan['commission']) // 100
pay = max(share + trip['tolls'], plan['min_pay']) + trip['tip']
n = plan['trips_before'] + 1
bonus = 0
for need, amount in plan['quests']:
if n == need:
bonus += amount
return {'pay': pay, 'bonus': bonus}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: minimum pay scope',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 1000}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 15, 'tip': 0, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1000}),
('second regression',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 900}),
('normal control 1',
[{'booking_fee': 250, 'core': 2500, 'surge': 10, 'tip': 200, 'tolls': 0},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 2075}),
('normal control 2',
[{'booking_fee': 0, 'core': 900, 'surge': 12, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 1364}),
('normal control 3',
[{'booking_fee': 0, 'core': 1733, 'surge': 10, 'tip': 500, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 2186}),
('normal control 4',
[{'booking_fee': 250, 'core': 900, 'surge': 10, 'tip': 0, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1020})],
[('regression: minimum pay scope',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 1200}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 12, 'tip': 0, 'tolls': 300},
{'commission': 25, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 800}),
('second regression',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 0, 'tolls': 300},
{'commission': 25, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 800}),
('normal control 1',
[{'booking_fee': 0, 'core': 2500, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 2500}),
('normal control 2',
[{'booking_fee': 0, 'core': 900, 'surge': 12, 'tip': 500, 'tolls': 0},
{'commission': 25, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 1310}),
('normal control 3',
[{'booking_fee': 250, 'core': 1733, 'surge': 20, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 3272}),
('normal control 4',
[{'booking_fee': 250, 'core': 450, 'surge': 15, 'tip': 0, 'tolls': 0},
{'commission': 25, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 506})],
[('regression: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 15, 'tip': 500, 'tolls': 0},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 1200}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 10, 'tip': 0, 'tolls': 300},
{'commission': 20, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 700}),
('second regression',
[{'booking_fee': 0, 'core': 450, 'surge': 10, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 1200}),
('normal control 1',
[{'booking_fee': 0, 'core': 1733, 'surge': 20, 'tip': 500, 'tolls': 300},
{'commission': 25, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 3399}),
('normal control 2',
[{'booking_fee': 250, 'core': 450, 'surge': 20, 'tip': 500, 'tolls': 300},
{'commission': 25, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 1475}),
('normal control 3',
[{'booking_fee': 250, 'core': 2500, 'surge': 10, 'tip': 200, 'tolls': 0},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 2075}),
('normal control 4',
[{'booking_fee': 0, 'core': 2500, 'surge': 12, 'tip': 500, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 3200})],
[('regression: minimum pay scope',
[{'booking_fee': 0, 'core': 450, 'surge': 12, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 1200}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 900, 'surge': 10, 'tip': 500, 'tolls': 300},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1500}),
('second regression',
[{'booking_fee': 250, 'core': 450, 'surge': 12, 'tip': 500, 'tolls': 0},
{'commission': 25, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1200}),
('normal control 1',
[{'booking_fee': 250, 'core': 1733, 'surge': 15, 'tip': 200, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 2280}),
('normal control 2',
[{'booking_fee': 0, 'core': 2500, 'surge': 10, 'tip': 0, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 2000}),
('normal control 3',
[{'booking_fee': 0, 'core': 450, 'surge': 15, 'tip': 0, 'tolls': 0},
{'commission': 25, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 24}],
{'bonus': 1000, 'pay': 506}),
('normal control 4',
[{'booking_fee': 0, 'core': 1733, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 25, 'min_pay': 400, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 3}],
{'bonus': 0, 'pay': 1799})],
[('regression: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 10, 'tip': 500, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 1000}),
('partial repair probe: minimum pay scope',
[{'booking_fee': 250, 'core': 450, 'surge': 12, 'tip': 500, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 1500}),
('second regression',
[{'booking_fee': 250, 'core': 450, 'surge': 12, 'tip': 200, 'tolls': 0},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 700}),
('normal control 1',
[{'booking_fee': 250, 'core': 900, 'surge': 20, 'tip': 0, 'tolls': 0},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 20}],
{'bonus': 0, 'pay': 1440}),
('normal control 2',
[{'booking_fee': 250, 'core': 2500, 'surge': 10, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 19}],
{'bonus': 2500, 'pay': 2500}),
('normal control 3',
[{'booking_fee': 0, 'core': 2500, 'surge': 15, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 500, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 10}],
{'bonus': 0, 'pay': 3500}),
('normal control 4',
[{'booking_fee': 250, 'core': 1733, 'surge': 12, 'tip': 200, 'tolls': 300},
{'commission': 20, 'min_pay': 700, 'quests': [[10, 1500], [20, 2500], [25, 1000]], 'trips_before': 9}],
{'bonus': 1500, 'pay': 2164})]]
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: minimum pay scope | {'bonus': 2500, 'pay': 1000} | {'bonus': 2500, 'pay': 1000} | Passed |
| partial repair probe: minimum pay scope | {'bonus': 0, 'pay': 840} | {'bonus': 0, 'pay': 1000} | Failed |
| second regression | {'bonus': 1000, 'pay': 860} | {'bonus': 1000, 'pay': 900} | Failed |
| normal control 1 | {'bonus': 1500, 'pay': 2075} | {'bonus': 1500, 'pay': 2075} | Passed |
| normal control 2 | {'bonus': 1000, 'pay': 1364} | {'bonus': 1000, 'pay': 1364} | Passed |
| normal control 3 | {'bonus': 1000, 'pay': 2186} | {'bonus': 1000, 'pay': 2186} | Passed |
| normal control 4 | {'bonus': 0, 'pay': 1020} | {'bonus': 0, 'pay': 1020} | Passed |
SHA-256 / c2e93230f78c760b2735852d6ed182a726b02357cc5d5d4d089090a87efe9106
HELD IN THE MEMBER ARCHIVE
The verified repair and its recorded checks are member-only.
This mechanism has 7 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.
Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.
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Sign in to the archive ↗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 2026-09-29T14:50:41.633331+00:00.
Case digest / fe9d29f66ab7a741c2e245aa6b06151e3c1c62b92346917e49c980aad9894997