{"abstract":"Passengers board a car heading the wrong way and ride away from their destination.","category":"Elevator dispatch scheduling","checks":8,"contract":"All passengers [id, from, to] wait at time 0. The car starts at start heading up. At each floor it first lets riders alight, then boards waiting passengers (in id order) whose travel direction equals the car direction while load < cap; any alighting or boarding costs one stop_s. If no rider destination or waiting origin lies strictly ahead it reverses in place (and may board again); otherwise it moves one floor (floor_s). Return {id: [board time, alight time]} for delivered passengers.","evaluation_group":"w2-elevator_dispatch_scheduling-single-car-scan-simulation","failed_approach":"Letting an empty car take anyone still boards opposite-direction passengers.","family":"w2-elevator_dispatch_scheduling-single-car-scan-simulation-boarding-direction","id":"FA-67766","implementations":{"attempt":{"sha256":"5bb86f08c7ef5815b6f3eb45ea0b4d800936b68c3154375711e7c114164c8bd2","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    cap = x['cap']\n    pos = x['start']\n    t = 0\n    d = 'up'\n    waiting = {r[0]: r for r in x['requests']}\n    riding = {}\n    picked = {}\n    done = {}\n    for _ in range(400):\n        if not waiting and not riding:\n            break\n        stopped = False\n        for pid in sorted(riding):\n            if riding[pid][2] == pos:\n                done[pid] = [picked[pid], t]\n                del riding[pid]\n                stopped = True\n        for pid in sorted(waiting):\n            r = waiting[pid]\n            rdir = 'up' if r[2] > r[1] else 'down'\n            if r[1] == pos and (rdir == d or not riding) and len(riding) < cap:\n                riding[pid] = r\n                picked[pid] = t\n                del waiting[pid]\n                stopped = True\n        if stopped:\n            t += x['stop_s']\n        targets = [r[2] for r in riding.values()] + [r[1] for r in waiting.values()]\n        ahead = [f for f in targets if (f > pos if d == 'up' else f < pos)]\n        if not ahead:\n            d = 'down' if d == 'up' else 'up'\n            continue\n        pos += 1 if d == 'up' else -1\n        t += x['floor_s']\n    return done\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 3', {'cap': 2, 'start': 5, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 5, 1], ['p1', 3, 5]]}, {'p0': [0, 13], 'p1': [22, 31]}), ('sampled regression 1', {'cap': 1, 'start': 5, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 6, 8], ['p1', 3, 7], ['p2', 0, 7], ['p3', 3, 2], ['p4', 7, 1]]}, {'p0': [2, 11], 'p4': [18, 35], 'p2': [42, 61], 'p3': [74, 81], 'p1': [88, 101]}), ('boundary: full car at a floor where a rider alights', {'cap': 1, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 3], ['b', 3, 6]]}, {'a': [0, 11], 'b': [11, 22]}), ('boundary: capacity exactly reached', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 4], ['b', 0, 5], ['c', 0, 6]]}, {'a': [0, 13], 'b': [0, 20], 'c': [35, 52]}), ('sampled regression 4', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 8], ['p1', 8, 1], ['p2', 0, 8], ['p3', 5, 6]]}, {'p3': [13, 20], 'p0': [2, 29], 'p1': [34, 53], 'p2': [60, 81]}), ('sampled regression 7', {'cap': 4, 'start': 6, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 8, 9], ['p1', 7, 5], ['p2', 6, 0]]}, {'p0': [4, 11], 'p1': [20, 34], 'p2': [27, 49]}), ('control 10', {'cap': 2, 'start': 5, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 3, 0], ['p1', 5, 6], ['p2', 5, 7]]}, {'p1': [0, 10], 'p2': [0, 20], 'p0': [36, 50]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 12', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 3], ['p1', 8, 4], ['p2', 2, 8], ['p3', 5, 0], ['p4', 8, 2], ['p5', 7, 9]]}, {'p2': [0, 28], 'p5': [18, 38], 'p1': [48, 72], 'p0': [48, 82], 'p4': [48, 92], 'p3': [62, 104]}), ('sampled regression 8', {'cap': 1, 'start': 7, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 4, 9], ['p1', 9, 3], ['p2', 9, 7], ['p3', 2, 1], ['p4', 1, 3]]}, {'p1': [4, 24], 'p3': [34, 44], 'p4': [52, 64], 'p0': [74, 92], 'p2': [100, 112]}), ('boundary: capacity exactly reached', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 4], ['b', 0, 5], ['c', 0, 6]]}, {'a': [0, 13], 'b': [0, 20], 'c': [35, 52]}), ('boundary: two boardings share one stop', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['a', 1, 4], ['b', 1, 4]]}, {'a': [0, 14], 'b': [0, 14]}), ('control 15', {'cap': 2, 'start': 8, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 6, 3], ['p1', 4, 1], ['p2', 5, 0]]}, {'p0': [4, 26], 'p2': [14, 40], 'p1': [56, 70]}), ('sampled regression 18', {'cap': 4, 'start': 9, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 1, 0], ['p1', 7, 8], ['p2', 1, 8]]}, {'p0': [16, 26], 'p1': [56, 66], 'p2': [36, 66]}), ('sampled regression 21', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 7], ['p1', 5, 9], ['p2', 4, 5], ['p3', 0, 1], ['p4', 2, 5], ['p5', 0, 5]]}, {'p3': [0, 10], 'p4': [20, 34], 'p5': [0, 34], 'p1': [34, 50], 'p0': [60, 70], 'p2': [84, 94]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 21', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 7], ['p1', 5, 9], ['p2', 4, 5], ['p3', 0, 1], ['p4', 2, 5], ['p5', 0, 5]]}, {'p3': [0, 10], 'p4': [20, 34], 'p5': [0, 34], 'p1': [34, 50], 'p0': [60, 70], 'p2': [84, 94]}), ('sampled regression 19', {'cap': 2, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 0, 5], ['p1', 6, 4], ['p2', 9, 2], ['p3', 4, 5]]}, {'p3': [6, 16], 'p1': [46, 58], 'p2': [32, 70], 'p0': [82, 100]}), ('boundary: alighting-only stop', {'cap': 4, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 2], ['b', 5, 6]]}, {'a': [0, 9], 'b': [20, 27]}), ('boundary: full car at a floor where a rider alights', {'cap': 1, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 3], ['b', 3, 6]]}, {'a': [0, 11], 'b': [11, 22]}), ('control 23', {'cap': 4, 'start': 8, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 9, 4], ['p1', 9, 1], ['p2', 0, 1], ['p3', 6, 2]]}, {'p0': [2, 22], 'p3': [13, 31], 'p1': [2, 38], 'p2': [45, 52]}), ('sampled regression 26', {'cap': 1, 'start': 3, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 0, 4], ['p1', 1, 6], ['p2', 1, 6], ['p3', 5, 1]]}, {'p3': [4, 20], 'p0': [30, 46], 'p1': [60, 78], 'p2': [96, 114]}), ('sampled regression 29', {'cap': 4, 'start': 5, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 5], ['p1', 0, 2], ['p2', 7, 1]]}, {'p0': [6, 28], 'p2': [16, 44], 'p1': [54, 66]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 30', {'cap': 1, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 5, 1], ['p1', 9, 3], ['p2', 2, 5]]}, {'p2': [2, 16], 'p1': [32, 52], 'p0': [64, 80]}), ('sampled regression 25', {'cap': 4, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 5], ['p1', 0, 3], ['p2', 6, 8], ['p3', 2, 3], ['p4', 8, 0], ['p5', 9, 6]]}, {'p1': [0, 16], 'p3': [9, 16], 'p0': [9, 25], 'p2': [32, 41], 'p5': [48, 64], 'p4': [55, 81]}), ('boundary: capacity exactly reached', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 4], ['b', 0, 5], ['c', 0, 6]]}, {'a': [0, 13], 'b': [0, 20], 'c': [35, 52]}), ('boundary: two boardings share one stop', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['a', 1, 4], ['b', 1, 4]]}, {'a': [0, 14], 'b': [0, 14]}), ('sampled regression 34', {'cap': 2, 'start': 4, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 0], ['p1', 2, 8], ['p2', 6, 1], ['p3', 3, 7], ['p4', 6, 8], ['p5', 2, 4]]}, {'p4': [4, 13], 'p2': [22, 42], 'p0': [35, 49], 'p5': [58, 67], 'p1': [58, 80], 'p3': [95, 108]}), ('control 37', {'cap': 2, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 5, 9], ['p1', 6, 7]]}, {'p1': [13, 20], 'p0': [6, 29]}), ('sampled regression 40', {'cap': 2, 'start': 6, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 9, 5], ['p1', 8, 3], ['p2', 5, 4]]}, {'p0': [6, 30], 'p2': [30, 40], 'p1': [16, 50]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 40', {'cap': 2, 'start': 6, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 9, 5], ['p1', 8, 3], ['p2', 5, 4]]}, {'p0': [6, 30], 'p2': [30, 40], 'p1': [16, 50]}), ('sampled regression 30', {'cap': 1, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 5, 1], ['p1', 9, 3], ['p2', 2, 5]]}, {'p2': [2, 16], 'p1': [32, 52], 'p0': [64, 80]}), ('boundary: two boardings share one stop', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['a', 1, 4], ['b', 1, 4]]}, {'a': [0, 14], 'b': [0, 14]}), ('boundary: alighting-only stop', {'cap': 4, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 2], ['b', 5, 6]]}, {'a': [0, 9], 'b': [20, 27]}), ('sampled regression 45', {'cap': 4, 'start': 8, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 0, 2], ['p1', 6, 2], ['p2', 4, 5], ['p3', 1, 7], ['p4', 7, 4]]}, {'p4': [2, 18], 'p1': [9, 27], 'p0': [36, 50], 'p2': [59, 66], 'p3': [43, 75]}), ('sampled regression 48', {'cap': 2, 'start': 8, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 0], ['p1', 0, 2], ['p2', 8, 5], ['p3', 6, 4], ['p4', 0, 3]]}, {'p2': [0, 16], 'p3': [9, 23], 'p0': [32, 41], 'p1': [46, 55], 'p4': [46, 62]}), ('sampled regression 51', {'cap': 4, 'start': 4, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 8, 9], ['p1', 2, 6], ['p2', 8, 1], ['p3', 1, 6], ['p4', 3, 1]]}, {'p0': [8, 15], 'p2': [22, 46], 'p4': [37, 46], 'p1': [58, 71], 'p3': [51, 71]})]]\nfor label, args, expected in fixtures[N-1]:\n    check(label, solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"0b4162f5dc6ee83a911fc33ed1326cdd27f9c57bbc59f4536be45f43bdbfbd59","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    cap = x['cap']\n    pos = x['start']\n    t = 0\n    d = 'up'\n    waiting = {r[0]: r for r in x['requests']}\n    riding = {}\n    picked = {}\n    done = {}\n    for _ in range(400):\n        if not waiting and not riding:\n            break\n        stopped = False\n        for pid in sorted(riding):\n            if riding[pid][2] == pos:\n                done[pid] = [picked[pid], t]\n                del riding[pid]\n                stopped = True\n        for pid in sorted(waiting):\n            r = waiting[pid]\n            rdir = 'up' if r[2] > r[1] else 'down'\n            if r[1] == pos and len(riding) < cap:\n                riding[pid] = r\n                picked[pid] = t\n                del waiting[pid]\n                stopped = True\n        if stopped:\n            t += x['stop_s']\n        targets = [r[2] for r in riding.values()] + [r[1] for r in waiting.values()]\n        ahead = [f for f in targets if (f > pos if d == 'up' else f < pos)]\n        if not ahead:\n            d = 'down' if d == 'up' else 'up'\n            continue\n        pos += 1 if d == 'up' else -1\n        t += x['floor_s']\n    return done\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 3', {'cap': 2, 'start': 5, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 5, 1], ['p1', 3, 5]]}, {'p0': [0, 13], 'p1': [22, 31]}), ('sampled regression 1', {'cap': 1, 'start': 5, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 6, 8], ['p1', 3, 7], ['p2', 0, 7], ['p3', 3, 2], ['p4', 7, 1]]}, {'p0': [2, 11], 'p4': [18, 35], 'p2': [42, 61], 'p3': [74, 81], 'p1': [88, 101]}), ('boundary: full car at a floor where a rider alights', {'cap': 1, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 3], ['b', 3, 6]]}, {'a': [0, 11], 'b': [11, 22]}), ('boundary: capacity exactly reached', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 4], ['b', 0, 5], ['c', 0, 6]]}, {'a': [0, 13], 'b': [0, 20], 'c': [35, 52]}), ('sampled regression 4', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 8], ['p1', 8, 1], ['p2', 0, 8], ['p3', 5, 6]]}, {'p3': [13, 20], 'p0': [2, 29], 'p1': [34, 53], 'p2': [60, 81]}), ('sampled regression 7', {'cap': 4, 'start': 6, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 8, 9], ['p1', 7, 5], ['p2', 6, 0]]}, {'p0': [4, 11], 'p1': [20, 34], 'p2': [27, 49]}), ('control 10', {'cap': 2, 'start': 5, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 3, 0], ['p1', 5, 6], ['p2', 5, 7]]}, {'p1': [0, 10], 'p2': [0, 20], 'p0': [36, 50]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 12', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 3], ['p1', 8, 4], ['p2', 2, 8], ['p3', 5, 0], ['p4', 8, 2], ['p5', 7, 9]]}, {'p2': [0, 28], 'p5': [18, 38], 'p1': [48, 72], 'p0': [48, 82], 'p4': [48, 92], 'p3': [62, 104]}), ('sampled regression 8', {'cap': 1, 'start': 7, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 4, 9], ['p1', 9, 3], ['p2', 9, 7], ['p3', 2, 1], ['p4', 1, 3]]}, {'p1': [4, 24], 'p3': [34, 44], 'p4': [52, 64], 'p0': [74, 92], 'p2': [100, 112]}), ('boundary: capacity exactly reached', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 4], ['b', 0, 5], ['c', 0, 6]]}, {'a': [0, 13], 'b': [0, 20], 'c': [35, 52]}), ('boundary: two boardings share one stop', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['a', 1, 4], ['b', 1, 4]]}, {'a': [0, 14], 'b': [0, 14]}), ('control 15', {'cap': 2, 'start': 8, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 6, 3], ['p1', 4, 1], ['p2', 5, 0]]}, {'p0': [4, 26], 'p2': [14, 40], 'p1': [56, 70]}), ('sampled regression 18', {'cap': 4, 'start': 9, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 1, 0], ['p1', 7, 8], ['p2', 1, 8]]}, {'p0': [16, 26], 'p1': [56, 66], 'p2': [36, 66]}), ('sampled regression 21', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 7], ['p1', 5, 9], ['p2', 4, 5], ['p3', 0, 1], ['p4', 2, 5], ['p5', 0, 5]]}, {'p3': [0, 10], 'p4': [20, 34], 'p5': [0, 34], 'p1': [34, 50], 'p0': [60, 70], 'p2': [84, 94]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 21', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 7], ['p1', 5, 9], ['p2', 4, 5], ['p3', 0, 1], ['p4', 2, 5], ['p5', 0, 5]]}, {'p3': [0, 10], 'p4': [20, 34], 'p5': [0, 34], 'p1': [34, 50], 'p0': [60, 70], 'p2': [84, 94]}), ('sampled regression 19', {'cap': 2, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 0, 5], ['p1', 6, 4], ['p2', 9, 2], ['p3', 4, 5]]}, {'p3': [6, 16], 'p1': [46, 58], 'p2': [32, 70], 'p0': [82, 100]}), ('boundary: alighting-only stop', {'cap': 4, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 2], ['b', 5, 6]]}, {'a': [0, 9], 'b': [20, 27]}), ('boundary: full car at a floor where a rider alights', {'cap': 1, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 3], ['b', 3, 6]]}, {'a': [0, 11], 'b': [11, 22]}), ('control 23', {'cap': 4, 'start': 8, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 9, 4], ['p1', 9, 1], ['p2', 0, 1], ['p3', 6, 2]]}, {'p0': [2, 22], 'p3': [13, 31], 'p1': [2, 38], 'p2': [45, 52]}), ('sampled regression 26', {'cap': 1, 'start': 3, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 0, 4], ['p1', 1, 6], ['p2', 1, 6], ['p3', 5, 1]]}, {'p3': [4, 20], 'p0': [30, 46], 'p1': [60, 78], 'p2': [96, 114]}), ('sampled regression 29', {'cap': 4, 'start': 5, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 5], ['p1', 0, 2], ['p2', 7, 1]]}, {'p0': [6, 28], 'p2': [16, 44], 'p1': [54, 66]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 30', {'cap': 1, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 5, 1], ['p1', 9, 3], ['p2', 2, 5]]}, {'p2': [2, 16], 'p1': [32, 52], 'p0': [64, 80]}), ('sampled regression 25', {'cap': 4, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 5], ['p1', 0, 3], ['p2', 6, 8], ['p3', 2, 3], ['p4', 8, 0], ['p5', 9, 6]]}, {'p1': [0, 16], 'p3': [9, 16], 'p0': [9, 25], 'p2': [32, 41], 'p5': [48, 64], 'p4': [55, 81]}), ('boundary: capacity exactly reached', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 4], ['b', 0, 5], ['c', 0, 6]]}, {'a': [0, 13], 'b': [0, 20], 'c': [35, 52]}), ('boundary: two boardings share one stop', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['a', 1, 4], ['b', 1, 4]]}, {'a': [0, 14], 'b': [0, 14]}), ('sampled regression 34', {'cap': 2, 'start': 4, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 0], ['p1', 2, 8], ['p2', 6, 1], ['p3', 3, 7], ['p4', 6, 8], ['p5', 2, 4]]}, {'p4': [4, 13], 'p2': [22, 42], 'p0': [35, 49], 'p5': [58, 67], 'p1': [58, 80], 'p3': [95, 108]}), ('control 37', {'cap': 2, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 5, 9], ['p1', 6, 7]]}, {'p1': [13, 20], 'p0': [6, 29]}), ('sampled regression 40', {'cap': 2, 'start': 6, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 9, 5], ['p1', 8, 3], ['p2', 5, 4]]}, {'p0': [6, 30], 'p2': [30, 40], 'p1': [16, 50]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 40', {'cap': 2, 'start': 6, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 9, 5], ['p1', 8, 3], ['p2', 5, 4]]}, {'p0': [6, 30], 'p2': [30, 40], 'p1': [16, 50]}), ('sampled regression 30', {'cap': 1, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 5, 1], ['p1', 9, 3], ['p2', 2, 5]]}, {'p2': [2, 16], 'p1': [32, 52], 'p0': [64, 80]}), ('boundary: two boardings share one stop', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['a', 1, 4], ['b', 1, 4]]}, {'a': [0, 14], 'b': [0, 14]}), ('boundary: alighting-only stop', {'cap': 4, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 2], ['b', 5, 6]]}, {'a': [0, 9], 'b': [20, 27]}), ('sampled regression 45', {'cap': 4, 'start': 8, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 0, 2], ['p1', 6, 2], ['p2', 4, 5], ['p3', 1, 7], ['p4', 7, 4]]}, {'p4': [2, 18], 'p1': [9, 27], 'p0': [36, 50], 'p2': [59, 66], 'p3': [43, 75]}), ('sampled regression 48', {'cap': 2, 'start': 8, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 0], ['p1', 0, 2], ['p2', 8, 5], ['p3', 6, 4], ['p4', 0, 3]]}, {'p2': [0, 16], 'p3': [9, 23], 'p0': [32, 41], 'p1': [46, 55], 'p4': [46, 62]}), ('sampled regression 51', {'cap': 4, 'start': 4, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 8, 9], ['p1', 2, 6], ['p2', 8, 1], ['p3', 1, 6], ['p4', 3, 1]]}, {'p0': [8, 15], 'p2': [22, 46], 'p4': [37, 46], 'p1': [58, 71], 'p3': [51, 71]})]]\nfor label, args, expected in fixtures[N-1]:\n    check(label, solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"fixed":{"sha256":"3e49cd1d822d6f97ee7a340e01b0a5be6aa441165d2405754e22140198fc33d4","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    cap = x['cap']\n    pos = x['start']\n    t = 0\n    d = 'up'\n    waiting = {r[0]: r for r in x['requests']}\n    riding = {}\n    picked = {}\n    done = {}\n    for _ in range(400):\n        if not waiting and not riding:\n            break\n        stopped = False\n        for pid in sorted(riding):\n            if riding[pid][2] == pos:\n                done[pid] = [picked[pid], t]\n                del riding[pid]\n                stopped = True\n        for pid in sorted(waiting):\n            r = waiting[pid]\n            rdir = 'up' if r[2] > r[1] else 'down'\n            if r[1] == pos and rdir == d and len(riding) < cap:\n                riding[pid] = r\n                picked[pid] = t\n                del waiting[pid]\n                stopped = True\n        if stopped:\n            t += x['stop_s']\n        targets = [r[2] for r in riding.values()] + [r[1] for r in waiting.values()]\n        ahead = [f for f in targets if (f > pos if d == 'up' else f < pos)]\n        if not ahead:\n            d = 'down' if d == 'up' else 'up'\n            continue\n        pos += 1 if d == 'up' else -1\n        t += x['floor_s']\n    return done\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 3', {'cap': 2, 'start': 5, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 5, 1], ['p1', 3, 5]]}, {'p0': [0, 13], 'p1': [22, 31]}), ('sampled regression 1', {'cap': 1, 'start': 5, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 6, 8], ['p1', 3, 7], ['p2', 0, 7], ['p3', 3, 2], ['p4', 7, 1]]}, {'p0': [2, 11], 'p4': [18, 35], 'p2': [42, 61], 'p3': [74, 81], 'p1': [88, 101]}), ('boundary: full car at a floor where a rider alights', {'cap': 1, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 3], ['b', 3, 6]]}, {'a': [0, 11], 'b': [11, 22]}), ('boundary: capacity exactly reached', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 4], ['b', 0, 5], ['c', 0, 6]]}, {'a': [0, 13], 'b': [0, 20], 'c': [35, 52]}), ('sampled regression 4', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 8], ['p1', 8, 1], ['p2', 0, 8], ['p3', 5, 6]]}, {'p3': [13, 20], 'p0': [2, 29], 'p1': [34, 53], 'p2': [60, 81]}), ('sampled regression 7', {'cap': 4, 'start': 6, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 8, 9], ['p1', 7, 5], ['p2', 6, 0]]}, {'p0': [4, 11], 'p1': [20, 34], 'p2': [27, 49]}), ('control 10', {'cap': 2, 'start': 5, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 3, 0], ['p1', 5, 6], ['p2', 5, 7]]}, {'p1': [0, 10], 'p2': [0, 20], 'p0': [36, 50]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 12', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 3], ['p1', 8, 4], ['p2', 2, 8], ['p3', 5, 0], ['p4', 8, 2], ['p5', 7, 9]]}, {'p2': [0, 28], 'p5': [18, 38], 'p1': [48, 72], 'p0': [48, 82], 'p4': [48, 92], 'p3': [62, 104]}), ('sampled regression 8', {'cap': 1, 'start': 7, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 4, 9], ['p1', 9, 3], ['p2', 9, 7], ['p3', 2, 1], ['p4', 1, 3]]}, {'p1': [4, 24], 'p3': [34, 44], 'p4': [52, 64], 'p0': [74, 92], 'p2': [100, 112]}), ('boundary: capacity exactly reached', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 4], ['b', 0, 5], ['c', 0, 6]]}, {'a': [0, 13], 'b': [0, 20], 'c': [35, 52]}), ('boundary: two boardings share one stop', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['a', 1, 4], ['b', 1, 4]]}, {'a': [0, 14], 'b': [0, 14]}), ('control 15', {'cap': 2, 'start': 8, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 6, 3], ['p1', 4, 1], ['p2', 5, 0]]}, {'p0': [4, 26], 'p2': [14, 40], 'p1': [56, 70]}), ('sampled regression 18', {'cap': 4, 'start': 9, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 1, 0], ['p1', 7, 8], ['p2', 1, 8]]}, {'p0': [16, 26], 'p1': [56, 66], 'p2': [36, 66]}), ('sampled regression 21', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 7], ['p1', 5, 9], ['p2', 4, 5], ['p3', 0, 1], ['p4', 2, 5], ['p5', 0, 5]]}, {'p3': [0, 10], 'p4': [20, 34], 'p5': [0, 34], 'p1': [34, 50], 'p0': [60, 70], 'p2': [84, 94]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 21', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 7], ['p1', 5, 9], ['p2', 4, 5], ['p3', 0, 1], ['p4', 2, 5], ['p5', 0, 5]]}, {'p3': [0, 10], 'p4': [20, 34], 'p5': [0, 34], 'p1': [34, 50], 'p0': [60, 70], 'p2': [84, 94]}), ('sampled regression 19', {'cap': 2, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 0, 5], ['p1', 6, 4], ['p2', 9, 2], ['p3', 4, 5]]}, {'p3': [6, 16], 'p1': [46, 58], 'p2': [32, 70], 'p0': [82, 100]}), ('boundary: alighting-only stop', {'cap': 4, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 2], ['b', 5, 6]]}, {'a': [0, 9], 'b': [20, 27]}), ('boundary: full car at a floor where a rider alights', {'cap': 1, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 3], ['b', 3, 6]]}, {'a': [0, 11], 'b': [11, 22]}), ('control 23', {'cap': 4, 'start': 8, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 9, 4], ['p1', 9, 1], ['p2', 0, 1], ['p3', 6, 2]]}, {'p0': [2, 22], 'p3': [13, 31], 'p1': [2, 38], 'p2': [45, 52]}), ('sampled regression 26', {'cap': 1, 'start': 3, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 0, 4], ['p1', 1, 6], ['p2', 1, 6], ['p3', 5, 1]]}, {'p3': [4, 20], 'p0': [30, 46], 'p1': [60, 78], 'p2': [96, 114]}), ('sampled regression 29', {'cap': 4, 'start': 5, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 8, 5], ['p1', 0, 2], ['p2', 7, 1]]}, {'p0': [6, 28], 'p2': [16, 44], 'p1': [54, 66]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 30', {'cap': 1, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 5, 1], ['p1', 9, 3], ['p2', 2, 5]]}, {'p2': [2, 16], 'p1': [32, 52], 'p0': [64, 80]}), ('sampled regression 25', {'cap': 4, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 5], ['p1', 0, 3], ['p2', 6, 8], ['p3', 2, 3], ['p4', 8, 0], ['p5', 9, 6]]}, {'p1': [0, 16], 'p3': [9, 16], 'p0': [9, 25], 'p2': [32, 41], 'p5': [48, 64], 'p4': [55, 81]}), ('boundary: capacity exactly reached', {'cap': 2, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 4], ['b', 0, 5], ['c', 0, 6]]}, {'a': [0, 13], 'b': [0, 20], 'c': [35, 52]}), ('boundary: two boardings share one stop', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['a', 1, 4], ['b', 1, 4]]}, {'a': [0, 14], 'b': [0, 14]}), ('sampled regression 34', {'cap': 2, 'start': 4, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 0], ['p1', 2, 8], ['p2', 6, 1], ['p3', 3, 7], ['p4', 6, 8], ['p5', 2, 4]]}, {'p4': [4, 13], 'p2': [22, 42], 'p0': [35, 49], 'p5': [58, 67], 'p1': [58, 80], 'p3': [95, 108]}), ('control 37', {'cap': 2, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 5, 9], ['p1', 6, 7]]}, {'p1': [13, 20], 'p0': [6, 29]}), ('sampled regression 40', {'cap': 2, 'start': 6, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 9, 5], ['p1', 8, 3], ['p2', 5, 4]]}, {'p0': [6, 30], 'p2': [30, 40], 'p1': [16, 50]})], [('regression: opposite-direction passenger waits', {'cap': 4, 'start': 2, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 2, 0], ['b', 2, 5]]}, {'b': [0, 11], 'a': [22, 31]}), ('sampled regression 40', {'cap': 2, 'start': 6, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 9, 5], ['p1', 8, 3], ['p2', 5, 4]]}, {'p0': [6, 30], 'p2': [30, 40], 'p1': [16, 50]}), ('sampled regression 30', {'cap': 1, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['p0', 5, 1], ['p1', 9, 3], ['p2', 2, 5]]}, {'p2': [2, 16], 'p1': [32, 52], 'p0': [64, 80]}), ('boundary: two boardings share one stop', {'cap': 4, 'start': 1, 'floor_s': 2, 'stop_s': 8, 'requests': [['a', 1, 4], ['b', 1, 4]]}, {'a': [0, 14], 'b': [0, 14]}), ('boundary: alighting-only stop', {'cap': 4, 'start': 0, 'floor_s': 2, 'stop_s': 5, 'requests': [['a', 0, 2], ['b', 5, 6]]}, {'a': [0, 9], 'b': [20, 27]}), ('sampled regression 45', {'cap': 4, 'start': 8, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 0, 2], ['p1', 6, 2], ['p2', 4, 5], ['p3', 1, 7], ['p4', 7, 4]]}, {'p4': [2, 18], 'p1': [9, 27], 'p0': [36, 50], 'p2': [59, 66], 'p3': [43, 75]}), ('sampled regression 48', {'cap': 2, 'start': 8, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 2, 0], ['p1', 0, 2], ['p2', 8, 5], ['p3', 6, 4], ['p4', 0, 3]]}, {'p2': [0, 16], 'p3': [9, 23], 'p0': [32, 41], 'p1': [46, 55], 'p4': [46, 62]}), ('sampled regression 51', {'cap': 4, 'start': 4, 'floor_s': 2, 'stop_s': 5, 'requests': [['p0', 8, 9], ['p1', 2, 6], ['p2', 8, 1], ['p3', 1, 6], ['p4', 3, 1]]}, {'p0': [8, 15], 'p2': [22, 46], 'p4': [37, 46], 'p1': [58, 71], 'p3': [51, 71]})]]\nfor label, args, expected in fixtures[N-1]:\n    check(label, solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"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.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"w2-elevator_dispatch_scheduling-single-car-scan-simulation-boarding-direction","generated_at":"2026-09-29T14:47:55.915746+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Lift group controllers make these decisions many times per minute; a wrong answer strands passengers, wastes trips or overrides a safety rule.","repair":"Board only passengers travelling in the car direction.","root_cause":"Boarding ignores the passenger travel direction.","sha256":"4ecae93b45551ba0b676354d1456f5a07b61b9cd6e5180df641e8adf74ab8364","title":"Single car SCAN service simulation: boarding direction · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":42.456,"exit_code":1,"observations":[{"actual":{"a":[0,26],"b":[0,11]},"check":"regression: opposite-direction passenger waits","expected":{"a":[22,31],"b":[0,11]},"passed":false},{"actual":{"p0":[0,13],"p1":[22,31]},"check":"sampled regression 3","expected":{"p0":[0,13],"p1":[22,31]},"passed":true},{"actual":{"p0":[2,11],"p1":[74,87],"p2":[42,61],"p3":[100,107],"p4":[18,35]},"check":"sampled regression 1","expected":{"p0":[2,11],"p1":[88,101],"p2":[42,61],"p3":[74,81],"p4":[18,35]},"passed":false},{"actual":{"a":[0,11],"b":[11,22]},"check":"boundary: full car at a floor where a rider alights","expected":{"a":[0,11],"b":[11,22]},"passed":true},{"actual":{"a":[0,13],"b":[0,20],"c":[35,52]},"check":"boundary: capacity exactly reached","expected":{"a":[0,13],"b":[0,20],"c":[35,52]},"passed":true},{"actual":{"p0":[2,29],"p1":[29,48],"p2":[55,76],"p3":[13,20]},"check":"sampled regression 4","expected":{"p0":[2,29],"p1":[34,53],"p2":[60,81],"p3":[13,20]},"passed":false},{"actual":{"p0":[9,16],"p1":[25,34],"p2":[0,49]},"check":"sampled regression 7","expected":{"p0":[4,11],"p1":[20,34],"p2":[27,49]},"passed":false},{"actual":{"p0":[36,50],"p1":[0,10],"p2":[0,20]},"check":"control 10","expected":{"p0":[36,50],"p1":[0,10],"p2":[0,20]},"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: opposite-direction passenger waits\", \"actual\": {\"b\": [0, 11], \"a\": [0, 26]}, \"expected\": {\"b\": [0, 11], \"a\": [22, 31]}, \"passed\": false}, {\"check\": \"sampled regression 3\", \"actual\": {\"p0\": [0, 13], \"p1\": [22, 31]}, \"expected\": {\"p0\": [0, 13], \"p1\": [22, 31]}, \"passed\": true}, {\"check\": \"sampled regression 1\", \"actual\": {\"p0\": [2, 11], \"p4\": [18, 35], \"p2\": [42, 61], \"p1\": [74, 87], \"p3\": [100, 107]}, \"expected\": {\"p0\": [2, 11], \"p4\": [18, 35], \"p2\": [42, 61], \"p3\": [74, 81], \"p1\": [88, 101]}, \"passed\": false}, {\"check\": \"boundary: full car at a floor where a rider alights\", \"actual\": {\"a\": [0, 11], \"b\": [11, 22]}, \"expected\": {\"a\": [0, 11], \"b\": [11, 22]}, \"passed\": true}, {\"check\": \"boundary: capacity exactly reached\", \"actual\": {\"a\": [0, 13], \"b\": [0, 20], \"c\": [35, 52]}, \"expected\": {\"a\": [0, 13], \"b\": [0, 20], \"c\": [35, 52]}, \"passed\": true}, {\"check\": \"sampled regression 4\", \"actual\": {\"p3\": [13, 20], \"p0\": [2, 29], \"p1\": [29, 48], \"p2\": [55, 76]}, \"expected\": {\"p3\": [13, 20], \"p0\": [2, 29], \"p1\": [34, 53], \"p2\": [60, 81]}, \"passed\": false}, {\"check\": \"sampled regression 7\", \"actual\": {\"p0\": [9, 16], \"p1\": [25, 34], \"p2\": [0, 49]}, \"expected\": {\"p0\": [4, 11], \"p1\": [20, 34], \"p2\": [27, 49]}, \"passed\": false}, {\"check\": \"control 10\", \"actual\": {\"p1\": [0, 10], \"p2\": [0, 20], \"p0\": [36, 50]}, \"expected\": {\"p1\": [0, 10], \"p2\": [0, 20], \"p0\": [36, 50]}, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.079,"exit_code":1,"observations":[{"actual":{"a":[0,26],"b":[0,11]},"check":"regression: opposite-direction passenger waits","expected":{"a":[22,31],"b":[0,11]},"passed":false},{"actual":{"p0":[0,18],"p1":[9,31]},"check":"sampled regression 3","expected":{"p0":[0,13],"p1":[22,31]},"passed":false},{"actual":{"p0":[2,11],"p1":[74,87],"p2":[42,61],"p3":[100,107],"p4":[18,35]},"check":"sampled regression 1","expected":{"p0":[2,11],"p1":[88,101],"p2":[42,61],"p3":[74,81],"p4":[18,35]},"passed":false},{"actual":{"a":[0,11],"b":[11,22]},"check":"boundary: full car at a floor where a rider alights","expected":{"a":[0,11],"b":[11,22]},"passed":true},{"actual":{"a":[0,13],"b":[0,20],"c":[35,52]},"check":"boundary: capacity exactly reached","expected":{"a":[0,13],"b":[0,20],"c":[35,52]},"passed":true},{"actual":{"p0":[2,29],"p1":[29,48],"p2":[55,76],"p3":[13,20]},"check":"sampled regression 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