FA-67526 / Elevator dispatch scheduling / Open access

Hall call waiting time statistics: long wait threshold · case 01

Calls answered in exactly sixty seconds count as long waits, or none ever do.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The long-wait comparison is inclusive.

VERIFIED REPAIR

Count waits strictly over 60 s.

Unsuccessful approach: Treating the threshold as milliseconds never counts a long wait.

Case contract

Each hall call has a registration time and an answer time (None if still unanswered at end_s). Waits are answer - registration clamped at zero (clock skew); unanswered calls count with the censored wait end_s - registration. Report the integer mean (floor), per-mille of waits over 60 s (floor), the maximum and the count; all zeros when there are no calls.

Why this case matters

Lift group controllers make these decisions many times per minute; a wrong answer strands passengers, wastes trips or overrides a safety rule.

1 / The failure

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    waits = []
    for reg, ans in x['calls']:
        if ans is None:
            waits.append(x['end_s'] - reg)
        else:
            waits.append(max(0, ans - reg))
    if not waits:
        return {'avg': 0, 'long_permille': 0, 'max': 0, 'count': 0}
    longs = sum(1 for w in waits if w >= 60)
    return {'avg': sum(waits) // len(waits), 'long_permille': longs * 1000 // len(waits), 'max': max(waits), 'count': len(waits)}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('boundary: unanswered call at the end', {'end_s': 600, 'calls': [[500, None], [10, 30]]}, {'avg': 60, 'long_permille': 500, 'max': 100, 'count': 2}), ('sampled regression 13', {'end_s': 600, 'calls': [[451, 511], [494, 539], [553, None], [26, None], [306, 367], [164, 314], [548, None], [406, 556]]}, {'avg': 142, 'long_permille': 500, 'max': 574, 'count': 8}), ('boundary: answer logged before registration', {'end_s': 600, 'calls': [[100, 98], [200, 230]]}, {'avg': 15, 'long_permille': 0, 'max': 30, 'count': 2}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('control 1', {'end_s': 600, 'calls': [[93, 138], [499, 519], [546, None], [485, None], [376, 526], [329, 419], [42, None], [303, None]]}, {'avg': 166, 'long_permille': 625, 'max': 558, 'count': 8}), ('control 4', {'end_s': 600, 'calls': [[15, None], [80, 100], [304, 324], [560, 557], [73, 78], [574, None]]}, {'avg': 109, 'long_permille': 166, 'max': 585, 'count': 6}), ('control 7', {'end_s': 600, 'calls': [[196, 216], [228, 248], [100, None], [381, 471], [370, 415], [56, 76]]}, {'avg': 115, 'long_permille': 333, 'max': 500, 'count': 6})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('sampled regression 40', {'end_s': 600, 'calls': [[286, 346], [342, None], [309, 308], [91, 96], [519, 524], [518, None], [12, 73]]}, {'avg': 67, 'long_permille': 428, 'max': 258, 'count': 7}), ('control 5', {'end_s': 600, 'calls': [[33, 123], [260, None], [120, 125], [150, 240], [547, 567], [556, 554], [207, 252], [567, 587]]}, {'avg': 76, 'long_permille': 375, 'max': 340, 'count': 8}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('boundary: mean with a remainder', {'end_s': 600, 'calls': [[0, 10], [0, 11], [0, 11]]}, {'avg': 10, 'long_permille': 0, 'max': 11, 'count': 3}), ('sampled regression 12', {'end_s': 600, 'calls': [[549, None], [34, 94], [153, 243]]}, {'avg': 67, 'long_permille': 333, 'max': 90, 'count': 3}), ('control 15', {'end_s': 600, 'calls': [[427, 472], [290, 440], [125, None], [18, 79], [88, 178], [156, 306], [7, None], [120, None]]}, {'avg': 255, 'long_permille': 875, 'max': 593, 'count': 8}), ('control 18', {'end_s': 600, 'calls': [[508, 528]]}, {'avg': 20, 'long_permille': 0, 'max': 20, 'count': 1})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('sampled regression 61', {'end_s': 600, 'calls': [[410, 415], [504, 564], [213, 258], [291, None], [359, None], [364, 369], [125, None]]}, {'avg': 162, 'long_permille': 428, 'max': 475, 'count': 7}), ('control 11', {'end_s': 600, 'calls': [[132, 152], [202, 247], [472, None], [462, 507], [80, 85], [378, None]]}, {'avg': 77, 'long_permille': 333, 'max': 222, 'count': 6}), ('boundary: mean with a remainder', {'end_s': 600, 'calls': [[0, 10], [0, 11], [0, 11]]}, {'avg': 10, 'long_permille': 0, 'max': 11, 'count': 3}), ('control 23', {'end_s': 600, 'calls': [[121, 141], [388, None], [577, None]]}, {'avg': 85, 'long_permille': 333, 'max': 212, 'count': 3}), ('control 26', {'end_s': 600, 'calls': [[205, 225], [336, 381]]}, {'avg': 32, 'long_permille': 0, 'max': 45, 'count': 2}), ('sampled regression 29', {'end_s': 600, 'calls': [[26, 31], [282, 287], [487, 577], [127, 187], [568, None], [130, 280], [335, 395], [184, 274]]}, {'avg': 61, 'long_permille': 375, 'max': 150, 'count': 8})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('boundary: unanswered call at the end', {'end_s': 600, 'calls': [[500, None], [10, 30]]}, {'avg': 60, 'long_permille': 500, 'max': 100, 'count': 2}), ('sampled regression 80', {'end_s': 600, 'calls': [[219, 280], [536, 541], [424, 484], [130, None], [104, 164], [442, 441], [286, 436]]}, {'avg': 115, 'long_permille': 428, 'max': 470, 'count': 7}), ('sampled regression 16', {'end_s': 600, 'calls': [[293, None], [565, None], [526, 586], [205, 202]]}, {'avg': 100, 'long_permille': 250, 'max': 307, 'count': 4}), ('boundary: answer logged before registration', {'end_s': 600, 'calls': [[100, 98], [200, 230]]}, {'avg': 15, 'long_permille': 0, 'max': 30, 'count': 2}), ('sampled regression 34', {'end_s': 600, 'calls': [[526, 531], [100, 160], [338, None], [152, 242], [413, 433], [56, 117]]}, {'avg': 83, 'long_permille': 500, 'max': 262, 'count': 6}), ('control 37', {'end_s': 600, 'calls': [[542, 547], [483, None], [421, 418], [216, None]]}, {'avg': 126, 'long_permille': 500, 'max': 384, 'count': 4}), ('sampled regression 40', {'end_s': 600, 'calls': [[286, 346], [342, None], [309, 308], [91, 96], [519, 524], [518, None], [12, 73]]}, {'avg': 67, 'long_permille': 428, 'max': 258, 'count': 7})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('sampled regression 20', {'end_s': 600, 'calls': [[520, None], [447, 467], [161, 221], [506, 511], [146, 296], [576, None], [73, 223], [194, 214]]}, {'avg': 63, 'long_permille': 375, 'max': 150, 'count': 8}), ('control 22', {'end_s': 600, 'calls': [[271, 421], [385, 446]]}, {'avg': 105, 'long_permille': 1000, 'max': 150, 'count': 2}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('boundary: mean with a remainder', {'end_s': 600, 'calls': [[0, 10], [0, 11], [0, 11]]}, {'avg': 10, 'long_permille': 0, 'max': 11, 'count': 3}), ('control 45', {'end_s': 600, 'calls': [[54, 204], [360, None], [102, None], [487, None], [396, None]]}, {'avg': 241, 'long_permille': 1000, 'max': 498, 'count': 5}), ('control 48', {'end_s': 600, 'calls': [[235, 234], [112, 202], [453, 498], [10, 30], [166, 186], [359, 358], [466, 471]]}, {'avg': 25, 'long_permille': 142, 'max': 90, 'count': 7}), ('control 51', {'end_s': 600, 'calls': [[553, None], [377, 422], [370, None], [180, 241]]}, {'avg': 95, 'long_permille': 500, 'max': 230, 'count': 4})]]
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: wait of exactly sixty seconds	`{'avg': 60, 'count': 2, 'long_permille': 1000, 'max': 61}`	`{'avg': 60, 'count': 2, 'long_permille': 500, 'max': 61}`	Failed
boundary: unanswered call at the end	`{'avg': 60, 'count': 2, 'long_permille': 500, 'max': 100}`	`{'avg': 60, 'count': 2, 'long_permille': 500, 'max': 100}`	Passed
sampled regression 13	`{'avg': 142, 'count': 8, 'long_permille': 625, 'max': 574}`	`{'avg': 142, 'count': 8, 'long_permille': 500, 'max': 574}`	Failed
boundary: answer logged before registration	`{'avg': 15, 'count': 2, 'long_permille': 0, 'max': 30}`	`{'avg': 15, 'count': 2, 'long_permille': 0, 'max': 30}`	Passed
boundary: long unanswered call	`{'avg': 73, 'count': 3, 'long_permille': 333, 'max': 200}`	`{'avg': 73, 'count': 3, 'long_permille': 333, 'max': 200}`	Passed
control 1	`{'avg': 166, 'count': 8, 'long_permille': 625, 'max': 558}`	`{'avg': 166, 'count': 8, 'long_permille': 625, 'max': 558}`	Passed
control 4	`{'avg': 109, 'count': 6, 'long_permille': 166, 'max': 585}`	`{'avg': 109, 'count': 6, 'long_permille': 166, 'max': 585}`	Passed
control 7	`{'avg': 115, 'count': 6, 'long_permille': 333, 'max': 500}`	`{'avg': 115, 'count': 6, 'long_permille': 333, 'max': 500}`	Passed

SHA-256 / c37db1dd540f39b340911ce61f5b3f8ec931ffb98986ee910760fb2bf7ea867e

2 / The unsuccessful fix

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    waits = []
    for reg, ans in x['calls']:
        if ans is None:
            waits.append(x['end_s'] - reg)
        else:
            waits.append(max(0, ans - reg))
    if not waits:
        return {'avg': 0, 'long_permille': 0, 'max': 0, 'count': 0}
    longs = sum(1 for w in waits if w > 60 * 1000)
    return {'avg': sum(waits) // len(waits), 'long_permille': longs * 1000 // len(waits), 'max': max(waits), 'count': len(waits)}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('boundary: unanswered call at the end', {'end_s': 600, 'calls': [[500, None], [10, 30]]}, {'avg': 60, 'long_permille': 500, 'max': 100, 'count': 2}), ('sampled regression 13', {'end_s': 600, 'calls': [[451, 511], [494, 539], [553, None], [26, None], [306, 367], [164, 314], [548, None], [406, 556]]}, {'avg': 142, 'long_permille': 500, 'max': 574, 'count': 8}), ('boundary: answer logged before registration', {'end_s': 600, 'calls': [[100, 98], [200, 230]]}, {'avg': 15, 'long_permille': 0, 'max': 30, 'count': 2}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('control 1', {'end_s': 600, 'calls': [[93, 138], [499, 519], [546, None], [485, None], [376, 526], [329, 419], [42, None], [303, None]]}, {'avg': 166, 'long_permille': 625, 'max': 558, 'count': 8}), ('control 4', {'end_s': 600, 'calls': [[15, None], [80, 100], [304, 324], [560, 557], [73, 78], [574, None]]}, {'avg': 109, 'long_permille': 166, 'max': 585, 'count': 6}), ('control 7', {'end_s': 600, 'calls': [[196, 216], [228, 248], [100, None], [381, 471], [370, 415], [56, 76]]}, {'avg': 115, 'long_permille': 333, 'max': 500, 'count': 6})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('sampled regression 40', {'end_s': 600, 'calls': [[286, 346], [342, None], [309, 308], [91, 96], [519, 524], [518, None], [12, 73]]}, {'avg': 67, 'long_permille': 428, 'max': 258, 'count': 7}), ('control 5', {'end_s': 600, 'calls': [[33, 123], [260, None], [120, 125], [150, 240], [547, 567], [556, 554], [207, 252], [567, 587]]}, {'avg': 76, 'long_permille': 375, 'max': 340, 'count': 8}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('boundary: mean with a remainder', {'end_s': 600, 'calls': [[0, 10], [0, 11], [0, 11]]}, {'avg': 10, 'long_permille': 0, 'max': 11, 'count': 3}), ('sampled regression 12', {'end_s': 600, 'calls': [[549, None], [34, 94], [153, 243]]}, {'avg': 67, 'long_permille': 333, 'max': 90, 'count': 3}), ('control 15', {'end_s': 600, 'calls': [[427, 472], [290, 440], [125, None], [18, 79], [88, 178], [156, 306], [7, None], [120, None]]}, {'avg': 255, 'long_permille': 875, 'max': 593, 'count': 8}), ('control 18', {'end_s': 600, 'calls': [[508, 528]]}, {'avg': 20, 'long_permille': 0, 'max': 20, 'count': 1})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('sampled regression 61', {'end_s': 600, 'calls': [[410, 415], [504, 564], [213, 258], [291, None], [359, None], [364, 369], [125, None]]}, {'avg': 162, 'long_permille': 428, 'max': 475, 'count': 7}), ('control 11', {'end_s': 600, 'calls': [[132, 152], [202, 247], [472, None], [462, 507], [80, 85], [378, None]]}, {'avg': 77, 'long_permille': 333, 'max': 222, 'count': 6}), ('boundary: mean with a remainder', {'end_s': 600, 'calls': [[0, 10], [0, 11], [0, 11]]}, {'avg': 10, 'long_permille': 0, 'max': 11, 'count': 3}), ('control 23', {'end_s': 600, 'calls': [[121, 141], [388, None], [577, None]]}, {'avg': 85, 'long_permille': 333, 'max': 212, 'count': 3}), ('control 26', {'end_s': 600, 'calls': [[205, 225], [336, 381]]}, {'avg': 32, 'long_permille': 0, 'max': 45, 'count': 2}), ('sampled regression 29', {'end_s': 600, 'calls': [[26, 31], [282, 287], [487, 577], [127, 187], [568, None], [130, 280], [335, 395], [184, 274]]}, {'avg': 61, 'long_permille': 375, 'max': 150, 'count': 8})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('boundary: unanswered call at the end', {'end_s': 600, 'calls': [[500, None], [10, 30]]}, {'avg': 60, 'long_permille': 500, 'max': 100, 'count': 2}), ('sampled regression 80', {'end_s': 600, 'calls': [[219, 280], [536, 541], [424, 484], [130, None], [104, 164], [442, 441], [286, 436]]}, {'avg': 115, 'long_permille': 428, 'max': 470, 'count': 7}), ('sampled regression 16', {'end_s': 600, 'calls': [[293, None], [565, None], [526, 586], [205, 202]]}, {'avg': 100, 'long_permille': 250, 'max': 307, 'count': 4}), ('boundary: answer logged before registration', {'end_s': 600, 'calls': [[100, 98], [200, 230]]}, {'avg': 15, 'long_permille': 0, 'max': 30, 'count': 2}), ('sampled regression 34', {'end_s': 600, 'calls': [[526, 531], [100, 160], [338, None], [152, 242], [413, 433], [56, 117]]}, {'avg': 83, 'long_permille': 500, 'max': 262, 'count': 6}), ('control 37', {'end_s': 600, 'calls': [[542, 547], [483, None], [421, 418], [216, None]]}, {'avg': 126, 'long_permille': 500, 'max': 384, 'count': 4}), ('sampled regression 40', {'end_s': 600, 'calls': [[286, 346], [342, None], [309, 308], [91, 96], [519, 524], [518, None], [12, 73]]}, {'avg': 67, 'long_permille': 428, 'max': 258, 'count': 7})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('sampled regression 20', {'end_s': 600, 'calls': [[520, None], [447, 467], [161, 221], [506, 511], [146, 296], [576, None], [73, 223], [194, 214]]}, {'avg': 63, 'long_permille': 375, 'max': 150, 'count': 8}), ('control 22', {'end_s': 600, 'calls': [[271, 421], [385, 446]]}, {'avg': 105, 'long_permille': 1000, 'max': 150, 'count': 2}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('boundary: mean with a remainder', {'end_s': 600, 'calls': [[0, 10], [0, 11], [0, 11]]}, {'avg': 10, 'long_permille': 0, 'max': 11, 'count': 3}), ('control 45', {'end_s': 600, 'calls': [[54, 204], [360, None], [102, None], [487, None], [396, None]]}, {'avg': 241, 'long_permille': 1000, 'max': 498, 'count': 5}), ('control 48', {'end_s': 600, 'calls': [[235, 234], [112, 202], [453, 498], [10, 30], [166, 186], [359, 358], [466, 471]]}, {'avg': 25, 'long_permille': 142, 'max': 90, 'count': 7}), ('control 51', {'end_s': 600, 'calls': [[553, None], [377, 422], [370, None], [180, 241]]}, {'avg': 95, 'long_permille': 500, 'max': 230, 'count': 4})]]
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: wait of exactly sixty seconds	`{'avg': 60, 'count': 2, 'long_permille': 0, 'max': 61}`	`{'avg': 60, 'count': 2, 'long_permille': 500, 'max': 61}`	Failed
boundary: unanswered call at the end	`{'avg': 60, 'count': 2, 'long_permille': 0, 'max': 100}`	`{'avg': 60, 'count': 2, 'long_permille': 500, 'max': 100}`	Failed
sampled regression 13	`{'avg': 142, 'count': 8, 'long_permille': 0, 'max': 574}`	`{'avg': 142, 'count': 8, 'long_permille': 500, 'max': 574}`	Failed
boundary: answer logged before registration	`{'avg': 15, 'count': 2, 'long_permille': 0, 'max': 30}`	`{'avg': 15, 'count': 2, 'long_permille': 0, 'max': 30}`	Passed
boundary: long unanswered call	`{'avg': 73, 'count': 3, 'long_permille': 0, 'max': 200}`	`{'avg': 73, 'count': 3, 'long_permille': 333, 'max': 200}`	Failed
control 1	`{'avg': 166, 'count': 8, 'long_permille': 0, 'max': 558}`	`{'avg': 166, 'count': 8, 'long_permille': 625, 'max': 558}`	Failed
control 4	`{'avg': 109, 'count': 6, 'long_permille': 0, 'max': 585}`	`{'avg': 109, 'count': 6, 'long_permille': 166, 'max': 585}`	Failed
control 7	`{'avg': 115, 'count': 6, 'long_permille': 0, 'max': 500}`	`{'avg': 115, 'count': 6, 'long_permille': 333, 'max': 500}`	Failed

SHA-256 / fd2c9e2ba0ce573ded14ec9688d6d5e4ca7d7bba96904b38998beac2798bbc88

3 / The verified repair

Exit 0

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    waits = []
    for reg, ans in x['calls']:
        if ans is None:
            waits.append(x['end_s'] - reg)
        else:
            waits.append(max(0, ans - reg))
    if not waits:
        return {'avg': 0, 'long_permille': 0, 'max': 0, 'count': 0}
    longs = sum(1 for w in waits if w > 60)
    return {'avg': sum(waits) // len(waits), 'long_permille': longs * 1000 // len(waits), 'max': max(waits), 'count': len(waits)}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('boundary: unanswered call at the end', {'end_s': 600, 'calls': [[500, None], [10, 30]]}, {'avg': 60, 'long_permille': 500, 'max': 100, 'count': 2}), ('sampled regression 13', {'end_s': 600, 'calls': [[451, 511], [494, 539], [553, None], [26, None], [306, 367], [164, 314], [548, None], [406, 556]]}, {'avg': 142, 'long_permille': 500, 'max': 574, 'count': 8}), ('boundary: answer logged before registration', {'end_s': 600, 'calls': [[100, 98], [200, 230]]}, {'avg': 15, 'long_permille': 0, 'max': 30, 'count': 2}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('control 1', {'end_s': 600, 'calls': [[93, 138], [499, 519], [546, None], [485, None], [376, 526], [329, 419], [42, None], [303, None]]}, {'avg': 166, 'long_permille': 625, 'max': 558, 'count': 8}), ('control 4', {'end_s': 600, 'calls': [[15, None], [80, 100], [304, 324], [560, 557], [73, 78], [574, None]]}, {'avg': 109, 'long_permille': 166, 'max': 585, 'count': 6}), ('control 7', {'end_s': 600, 'calls': [[196, 216], [228, 248], [100, None], [381, 471], [370, 415], [56, 76]]}, {'avg': 115, 'long_permille': 333, 'max': 500, 'count': 6})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('sampled regression 40', {'end_s': 600, 'calls': [[286, 346], [342, None], [309, 308], [91, 96], [519, 524], [518, None], [12, 73]]}, {'avg': 67, 'long_permille': 428, 'max': 258, 'count': 7}), ('control 5', {'end_s': 600, 'calls': [[33, 123], [260, None], [120, 125], [150, 240], [547, 567], [556, 554], [207, 252], [567, 587]]}, {'avg': 76, 'long_permille': 375, 'max': 340, 'count': 8}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('boundary: mean with a remainder', {'end_s': 600, 'calls': [[0, 10], [0, 11], [0, 11]]}, {'avg': 10, 'long_permille': 0, 'max': 11, 'count': 3}), ('sampled regression 12', {'end_s': 600, 'calls': [[549, None], [34, 94], [153, 243]]}, {'avg': 67, 'long_permille': 333, 'max': 90, 'count': 3}), ('control 15', {'end_s': 600, 'calls': [[427, 472], [290, 440], [125, None], [18, 79], [88, 178], [156, 306], [7, None], [120, None]]}, {'avg': 255, 'long_permille': 875, 'max': 593, 'count': 8}), ('control 18', {'end_s': 600, 'calls': [[508, 528]]}, {'avg': 20, 'long_permille': 0, 'max': 20, 'count': 1})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('sampled regression 61', {'end_s': 600, 'calls': [[410, 415], [504, 564], [213, 258], [291, None], [359, None], [364, 369], [125, None]]}, {'avg': 162, 'long_permille': 428, 'max': 475, 'count': 7}), ('control 11', {'end_s': 600, 'calls': [[132, 152], [202, 247], [472, None], [462, 507], [80, 85], [378, None]]}, {'avg': 77, 'long_permille': 333, 'max': 222, 'count': 6}), ('boundary: mean with a remainder', {'end_s': 600, 'calls': [[0, 10], [0, 11], [0, 11]]}, {'avg': 10, 'long_permille': 0, 'max': 11, 'count': 3}), ('control 23', {'end_s': 600, 'calls': [[121, 141], [388, None], [577, None]]}, {'avg': 85, 'long_permille': 333, 'max': 212, 'count': 3}), ('control 26', {'end_s': 600, 'calls': [[205, 225], [336, 381]]}, {'avg': 32, 'long_permille': 0, 'max': 45, 'count': 2}), ('sampled regression 29', {'end_s': 600, 'calls': [[26, 31], [282, 287], [487, 577], [127, 187], [568, None], [130, 280], [335, 395], [184, 274]]}, {'avg': 61, 'long_permille': 375, 'max': 150, 'count': 8})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('boundary: unanswered call at the end', {'end_s': 600, 'calls': [[500, None], [10, 30]]}, {'avg': 60, 'long_permille': 500, 'max': 100, 'count': 2}), ('sampled regression 80', {'end_s': 600, 'calls': [[219, 280], [536, 541], [424, 484], [130, None], [104, 164], [442, 441], [286, 436]]}, {'avg': 115, 'long_permille': 428, 'max': 470, 'count': 7}), ('sampled regression 16', {'end_s': 600, 'calls': [[293, None], [565, None], [526, 586], [205, 202]]}, {'avg': 100, 'long_permille': 250, 'max': 307, 'count': 4}), ('boundary: answer logged before registration', {'end_s': 600, 'calls': [[100, 98], [200, 230]]}, {'avg': 15, 'long_permille': 0, 'max': 30, 'count': 2}), ('sampled regression 34', {'end_s': 600, 'calls': [[526, 531], [100, 160], [338, None], [152, 242], [413, 433], [56, 117]]}, {'avg': 83, 'long_permille': 500, 'max': 262, 'count': 6}), ('control 37', {'end_s': 600, 'calls': [[542, 547], [483, None], [421, 418], [216, None]]}, {'avg': 126, 'long_permille': 500, 'max': 384, 'count': 4}), ('sampled regression 40', {'end_s': 600, 'calls': [[286, 346], [342, None], [309, 308], [91, 96], [519, 524], [518, None], [12, 73]]}, {'avg': 67, 'long_permille': 428, 'max': 258, 'count': 7})], [('regression: wait of exactly sixty seconds', {'end_s': 600, 'calls': [[0, 60], [100, 161]]}, {'avg': 60, 'long_permille': 500, 'max': 61, 'count': 2}), ('sampled regression 20', {'end_s': 600, 'calls': [[520, None], [447, 467], [161, 221], [506, 511], [146, 296], [576, None], [73, 223], [194, 214]]}, {'avg': 63, 'long_permille': 375, 'max': 150, 'count': 8}), ('control 22', {'end_s': 600, 'calls': [[271, 421], [385, 446]]}, {'avg': 105, 'long_permille': 1000, 'max': 150, 'count': 2}), ('boundary: long unanswered call', {'end_s': 600, 'calls': [[400, None], [0, 10], [5, 15]]}, {'avg': 73, 'long_permille': 333, 'max': 200, 'count': 3}), ('boundary: mean with a remainder', {'end_s': 600, 'calls': [[0, 10], [0, 11], [0, 11]]}, {'avg': 10, 'long_permille': 0, 'max': 11, 'count': 3}), ('control 45', {'end_s': 600, 'calls': [[54, 204], [360, None], [102, None], [487, None], [396, None]]}, {'avg': 241, 'long_permille': 1000, 'max': 498, 'count': 5}), ('control 48', {'end_s': 600, 'calls': [[235, 234], [112, 202], [453, 498], [10, 30], [166, 186], [359, 358], [466, 471]]}, {'avg': 25, 'long_permille': 142, 'max': 90, 'count': 7}), ('control 51', {'end_s': 600, 'calls': [[553, None], [377, 422], [370, None], [180, 241]]}, {'avg': 95, 'long_permille': 500, 'max': 230, 'count': 4})]]
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: wait of exactly sixty seconds	`{'avg': 60, 'count': 2, 'long_permille': 500, 'max': 61}`	`{'avg': 60, 'count': 2, 'long_permille': 500, 'max': 61}`	Passed
boundary: unanswered call at the end	`{'avg': 60, 'count': 2, 'long_permille': 500, 'max': 100}`	`{'avg': 60, 'count': 2, 'long_permille': 500, 'max': 100}`	Passed
sampled regression 13	`{'avg': 142, 'count': 8, 'long_permille': 500, 'max': 574}`	`{'avg': 142, 'count': 8, 'long_permille': 500, 'max': 574}`	Passed
boundary: answer logged before registration	`{'avg': 15, 'count': 2, 'long_permille': 0, 'max': 30}`	`{'avg': 15, 'count': 2, 'long_permille': 0, 'max': 30}`	Passed
boundary: long unanswered call	`{'avg': 73, 'count': 3, 'long_permille': 333, 'max': 200}`	`{'avg': 73, 'count': 3, 'long_permille': 333, 'max': 200}`	Passed
control 1	`{'avg': 166, 'count': 8, 'long_permille': 625, 'max': 558}`	`{'avg': 166, 'count': 8, 'long_permille': 625, 'max': 558}`	Passed
control 4	`{'avg': 109, 'count': 6, 'long_permille': 166, 'max': 585}`	`{'avg': 109, 'count': 6, 'long_permille': 166, 'max': 585}`	Passed
control 7	`{'avg': 115, 'count': 6, 'long_permille': 333, 'max': 500}`	`{'avg': 115, 'count': 6, 'long_permille': 333, 'max': 500}`	Passed

SHA-256 / 22fd4575db04ac29420d8384b3c4dac032db98ccbcc50fbdc6ddeff8eb26e41f

Verification & scope

Stipulated toy lift-control contract for a bounded teaching model; it makes no claim of conformance to any lift code or vendor dispatcher and omits real safety cases. 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 2026-09-29T14:47:53.722361+00:00.

Case digest / 5b84cb2409692432dd363d2fe8f220121d1a6e423aadda460d6b7da374434fa9