FA-66341 / Airline fare rule evaluation / Open access
Advance purchase measured in elapsed 24-hour periods · case 01
A ticket bought at 22:30 for a 06:00 departure exactly 14 calendar days later fails a 14-day advance purchase.
ROOT CAUSE
The day count uses the full datetime difference, so time-of-day eats into the final calendar day.
THE FAILURE
The day count uses the full datetime difference, so time-of-day eats into the final calendar day.
Unsuccessful approach: Rounding the elapsed days still depends on the time of day and fails some calendar-exact purchases.
Case contract
Input {'res','ticket','depart' ISO local datetimes,'ap_days','ticket_within_h'}. Ticket before reservation -> 'ERR_ORDER'. AP counts calendar days between the ticketing date and the departure date (>= ap_days passes) and is checked before the ticketing time limit; ticketing must be at or before reservation + ticket_within_h hours. Return 'PASS', 'FAIL_AP' or 'FAIL_TKT_TL'.
Why this case matters
Advance purchase rules count calendar days, not elapsed 24-hour periods, and interact with a separate ticketing time limit after booking.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import datetime
N = 1
observations = []
def solve(x):
T = datetime.datetime.fromisoformat(x['ticket'])
D = datetime.datetime.fromisoformat(x['depart'])
R = datetime.datetime.fromisoformat(x['res'])
if T < R: return 'ERR_ORDER'
if (D - T).days < x['ap_days']: return 'FAIL_AP'
if T > R + datetime.timedelta(hours=x['ticket_within_h']): return 'FAIL_TKT_TL'
return 'PASS'
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-15T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 25}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:05', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:51', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 24}, 'FAIL_AP'], ['sampled case 1', {'res': '2029-04-23T19:45', 'ticket': '2029-04-25T19:45', 'depart': '2029-05-10T07:45', 'ap_days': 21, 'ticket_within_h': 72}, 'FAIL_AP'], ['sampled case 2', {'res': '2028-12-29T20:45', 'ticket': '2028-12-30T21:15', 'depart': '2029-01-24T15:15', 'ap_days': 3, 'ticket_within_h': 72}, 'PASS'], ['sampled case 3', {'res': '2029-11-28T18:15', 'ticket': '2029-11-29T14:45', 'depart': '2029-12-08T20:45', 'ap_days': 21, 'ticket_within_h': 72}, 'FAIL_AP']], [['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-16T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 26}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:10', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:52', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['sampled case 1', {'res': '2029-03-02T18:30', 'ticket': '2029-03-05T19:00', 'depart': '2029-03-14T02:00', 'ap_days': 14, 'ticket_within_h': 72}, 'FAIL_AP'], ['sampled case 2', {'res': '2028-11-19T00:15', 'ticket': '2028-11-20T00:15', 'depart': '2028-12-13T04:15', 'ap_days': 7, 'ticket_within_h': 24}, 'PASS'], ['sampled case 3', {'res': '2028-08-13T05:15', 'ticket': '2028-08-13T20:45', 'depart': '2028-08-18T10:45', 'ap_days': 3, 'ticket_within_h': 72}, 'PASS'], ['regression: advance purchase day counting', {'res': '2028-09-13T18:15', 'ticket': '2028-09-16T18:15', 'depart': '2028-09-19T01:15', 'ap_days': 3, 'ticket_within_h': 48}, 'FAIL_TKT_TL']], [['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-17T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 27}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:15', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:53', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 72}, 'FAIL_AP'], ['sampled case 1', {'res': '2028-01-07T10:45', 'ticket': '2028-01-10T11:15', 'depart': '2028-01-27T06:15', 'ap_days': 14, 'ticket_within_h': 72}, 'FAIL_TKT_TL'], ['sampled case 2', {'res': '2027-11-20T22:00', 'ticket': '2027-11-23T02:00', 'depart': '2027-12-12T09:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_AP'], ['sampled case 3', {'res': '2029-01-16T10:15', 'ticket': '2029-01-17T10:45', 'depart': '2029-02-13T03:45', 'ap_days': 14, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['regression: advance purchase day counting', {'res': '2027-04-21T10:15', 'ticket': '2027-04-22T04:15', 'depart': '2027-05-05T17:15', 'ap_days': 14, 'ticket_within_h': 48}, 'FAIL_AP']], [['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-18T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 28}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:20', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:54', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 96}, 'FAIL_AP'], ['sampled case 1', {'res': '2028-04-10T05:15', 'ticket': '2028-04-13T05:15', 'depart': '2028-04-21T10:15', 'ap_days': 14, 'ticket_within_h': 48}, 'FAIL_AP'], ['sampled case 2', {'res': '2029-06-06T12:45', 'ticket': '2029-06-09T12:45', 'depart': '2029-07-06T08:45', 'ap_days': 7, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['sampled case 3', {'res': '2029-10-21T12:00', 'ticket': '2029-10-24T12:00', 'depart': '2029-11-15T19:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_TKT_TL'], ['regression: advance purchase day counting', {'res': '2029-10-17T03:30', 'ticket': '2029-10-18T22:30', 'depart': '2029-11-08T01:30', 'ap_days': 21, 'ticket_within_h': 48}, 'PASS']], [['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-19T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 29}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:25', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:55', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 120}, 'FAIL_AP'], ['sampled case 1', {'res': '2029-04-07T13:45', 'ticket': '2029-04-08T19:15', 'depart': '2029-04-19T08:15', 'ap_days': 3, 'ticket_within_h': 48}, 'PASS'], ['sampled case 2', {'res': '2027-04-03T07:45', 'ticket': '2027-04-05T08:15', 'depart': '2027-05-01T01:15', 'ap_days': 3, 'ticket_within_h': 48}, 'FAIL_TKT_TL'], ['sampled case 3', {'res': '2029-01-24T00:30', 'ticket': '2029-01-25T01:00', 'depart': '2029-02-11T22:00', 'ap_days': 7, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['regression: advance purchase day counting', {'res': '2029-02-06T01:45', 'ticket': '2029-02-07T01:45', 'depart': '2029-02-13T20:45', 'ap_days': 7, 'ticket_within_h': 72}, 'FAIL_AP']]]
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 |
|---|---|---|---|
| late evening ticket, early departure | FAIL_AP | PASS | Failed |
| exactly AP days | FAIL_AP | PASS | Failed |
| one day short | FAIL_AP | FAIL_AP | Passed |
| ticketed at exact time limit | PASS | PASS | Passed |
| ticketed after time limit | FAIL_TKT_TL | FAIL_TKT_TL | Passed |
| ticket before reservation | ERR_ORDER | ERR_ORDER | Passed |
| AP and time limit both fail | FAIL_AP | FAIL_AP | Passed |
| sampled case 1 | FAIL_AP | FAIL_AP | Passed |
| sampled case 2 | PASS | PASS | Passed |
| sampled case 3 | FAIL_AP | FAIL_AP | Passed |
SHA-256 / d7c1d4ace943e0bf9aeebd400504ea0ea7cc018b00e356648f97c5803b1a023d
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import datetime
N = 1
observations = []
def solve(x):
T = datetime.datetime.fromisoformat(x['ticket'])
D = datetime.datetime.fromisoformat(x['depart'])
R = datetime.datetime.fromisoformat(x['res'])
if T < R: return 'ERR_ORDER'
if round((D - T).total_seconds() / 86400) < x['ap_days']: return 'FAIL_AP'
if T > R + datetime.timedelta(hours=x['ticket_within_h']): return 'FAIL_TKT_TL'
return 'PASS'
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-15T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 25}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:05', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:51', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 24}, 'FAIL_AP'], ['sampled case 1', {'res': '2029-04-23T19:45', 'ticket': '2029-04-25T19:45', 'depart': '2029-05-10T07:45', 'ap_days': 21, 'ticket_within_h': 72}, 'FAIL_AP'], ['sampled case 2', {'res': '2028-12-29T20:45', 'ticket': '2028-12-30T21:15', 'depart': '2029-01-24T15:15', 'ap_days': 3, 'ticket_within_h': 72}, 'PASS'], ['sampled case 3', {'res': '2029-11-28T18:15', 'ticket': '2029-11-29T14:45', 'depart': '2029-12-08T20:45', 'ap_days': 21, 'ticket_within_h': 72}, 'FAIL_AP']], [['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-16T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 26}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:10', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:52', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['sampled case 1', {'res': '2029-03-02T18:30', 'ticket': '2029-03-05T19:00', 'depart': '2029-03-14T02:00', 'ap_days': 14, 'ticket_within_h': 72}, 'FAIL_AP'], ['sampled case 2', {'res': '2028-11-19T00:15', 'ticket': '2028-11-20T00:15', 'depart': '2028-12-13T04:15', 'ap_days': 7, 'ticket_within_h': 24}, 'PASS'], ['sampled case 3', {'res': '2028-08-13T05:15', 'ticket': '2028-08-13T20:45', 'depart': '2028-08-18T10:45', 'ap_days': 3, 'ticket_within_h': 72}, 'PASS'], ['regression: advance purchase day counting', {'res': '2028-09-13T18:15', 'ticket': '2028-09-16T18:15', 'depart': '2028-09-19T01:15', 'ap_days': 3, 'ticket_within_h': 48}, 'FAIL_TKT_TL']], [['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-17T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 27}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:15', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:53', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 72}, 'FAIL_AP'], ['sampled case 1', {'res': '2028-01-07T10:45', 'ticket': '2028-01-10T11:15', 'depart': '2028-01-27T06:15', 'ap_days': 14, 'ticket_within_h': 72}, 'FAIL_TKT_TL'], ['sampled case 2', {'res': '2027-11-20T22:00', 'ticket': '2027-11-23T02:00', 'depart': '2027-12-12T09:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_AP'], ['sampled case 3', {'res': '2029-01-16T10:15', 'ticket': '2029-01-17T10:45', 'depart': '2029-02-13T03:45', 'ap_days': 14, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['regression: advance purchase day counting', {'res': '2027-04-21T10:15', 'ticket': '2027-04-22T04:15', 'depart': '2027-05-05T17:15', 'ap_days': 14, 'ticket_within_h': 48}, 'FAIL_AP']], [['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-18T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 28}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:20', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:54', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 96}, 'FAIL_AP'], ['sampled case 1', {'res': '2028-04-10T05:15', 'ticket': '2028-04-13T05:15', 'depart': '2028-04-21T10:15', 'ap_days': 14, 'ticket_within_h': 48}, 'FAIL_AP'], ['sampled case 2', {'res': '2029-06-06T12:45', 'ticket': '2029-06-09T12:45', 'depart': '2029-07-06T08:45', 'ap_days': 7, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['sampled case 3', {'res': '2029-10-21T12:00', 'ticket': '2029-10-24T12:00', 'depart': '2029-11-15T19:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_TKT_TL'], ['regression: advance purchase day counting', {'res': '2029-10-17T03:30', 'ticket': '2029-10-18T22:30', 'depart': '2029-11-08T01:30', 'ap_days': 21, 'ticket_within_h': 48}, 'PASS']], [['late evening ticket, early departure', {'res': '2027-03-01T09:00', 'ticket': '2027-03-01T22:30', 'depart': '2027-03-19T06:00', 'ap_days': 14, 'ticket_within_h': 24}, 'PASS'], ['exactly AP days', {'res': '2027-05-10T10:00', 'ticket': '2027-05-10T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 29}, 'PASS'], ['one day short', {'res': '2027-05-10T10:00', 'ticket': '2027-05-11T11:00', 'depart': '2027-05-17T08:00', 'ap_days': 7, 'ticket_within_h': 48}, 'FAIL_AP'], ['ticketed at exact time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-02T08:00', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'PASS'], ['ticketed after time limit', {'res': '2027-06-01T08:00', 'ticket': '2027-06-03T09:25', 'depart': '2027-07-01T08:00', 'ap_days': 21, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['ticket before reservation', {'res': '2027-06-01T08:00', 'ticket': '2027-06-01T07:55', 'depart': '2027-07-01T08:00', 'ap_days': 3, 'ticket_within_h': 24}, 'ERR_ORDER'], ['AP and time limit both fail', {'res': '2027-08-01T08:00', 'ticket': '2027-08-05T08:00', 'depart': '2027-08-08T08:00', 'ap_days': 7, 'ticket_within_h': 120}, 'FAIL_AP'], ['sampled case 1', {'res': '2029-04-07T13:45', 'ticket': '2029-04-08T19:15', 'depart': '2029-04-19T08:15', 'ap_days': 3, 'ticket_within_h': 48}, 'PASS'], ['sampled case 2', {'res': '2027-04-03T07:45', 'ticket': '2027-04-05T08:15', 'depart': '2027-05-01T01:15', 'ap_days': 3, 'ticket_within_h': 48}, 'FAIL_TKT_TL'], ['sampled case 3', {'res': '2029-01-24T00:30', 'ticket': '2029-01-25T01:00', 'depart': '2029-02-11T22:00', 'ap_days': 7, 'ticket_within_h': 24}, 'FAIL_TKT_TL'], ['regression: advance purchase day counting', {'res': '2029-02-06T01:45', 'ticket': '2029-02-07T01:45', 'depart': '2029-02-13T20:45', 'ap_days': 7, 'ticket_within_h': 72}, 'FAIL_AP']]]
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 |
|---|---|---|---|
| late evening ticket, early departure | FAIL_AP | PASS | Failed |
| exactly AP days | PASS | PASS | Passed |
| one day short | FAIL_AP | FAIL_AP | Passed |
| ticketed at exact time limit | PASS | PASS | Passed |
| ticketed after time limit | FAIL_TKT_TL | FAIL_TKT_TL | Passed |
| ticket before reservation | ERR_ORDER | ERR_ORDER | Passed |
| AP and time limit both fail | FAIL_AP | FAIL_AP | Passed |
| sampled case 1 | FAIL_AP | FAIL_AP | Passed |
| sampled case 2 | PASS | PASS | Passed |
| sampled case 3 | FAIL_AP | FAIL_AP | Passed |
SHA-256 / 6f0c6bd7ea6376179a7692e30088d75d09f1a6a6fde30c72b2769ffc2adaee48
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Sign in to the archive ↗Verification & scope
A stipulated toy fare-rule contract with invented constants; it is not an ATPCO or carrier tariff implementation and makes no claim of industry-standard conformance. 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 2026-09-29T14:47:42.651864+00:00.
Case digest / f9f61ff7cd4efee3e67e8cb23f4a1714f9b48cf461ede8017a2ebe91aa0368ff