{"abstract":"Passengers for the same floor are spread over several cars.","category":"Elevator dispatch scheduling","checks":8,"contract":"Requests (destination, group size) are allocated one by one. A car is eligible if load + group size <= capacity. Cost = ready time + per_stop_s * existing stops + stop_penalty_s if the destination is not already a stop. The lowest cost wins, ties to the lowest car id. The chosen car adds the destination to its stops and the group to its load. None if no car is eligible.","evaluation_group":"w2-elevator_dispatch_scheduling-destination-dispatch","failed_approach":"Waiving the penalty for empty cars treats their first stop as free.","family":"w2-elevator_dispatch_scheduling-destination-dispatch-coincident-stop-credit","id":"FA-67366","implementations":{"attempt":{"sha256":"9c9c3f7551ad77efd3d29d78d8cd823508d1b09f23ac05610d7a1799d35c2c7d","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    cars = {c['id']: {'ready': c['ready_s'], 'stops': set(c['stops']), 'load': c['load'], 'cap': c['cap']} for c in x['cars']}\n    out = []\n    for req in x['requests']:\n        best = None\n        for cid in sorted(cars):\n            c = cars[cid]\n            if c['load'] + req['n'] > c['cap']:\n                continue\n            new_stop = 0 if req['dest'] in c['stops'] or not c['stops'] else 1\n            cost = c['ready'] + x['per_stop_s'] * len(c['stops']) + x['stop_penalty_s'] * new_stop\n            if best is None or cost < best[0]:\n                best = (cost, cid)\n        if best is None:\n            out.append(None)\n            continue\n        c = cars[best[1]]\n        c['stops'].add(req['dest'])\n        c['load'] += req['n']\n        out.append(best[1])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: coincident destination beats an idle car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 7, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B']), ('sampled regression 5', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [3, 6, 5], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [2, 3], 'load': 8, 'cap': 12}, {'id': 'C', 'ready_s': 5, 'stops': [], 'load': 4, 'cap': 12}], 'requests': [{'dest': 2, 'n': 5}, {'dest': 9, 'n': 1}, {'dest': 3, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'B', 'B']), ('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('boundary: group exactly fills the car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 10, 'cap': 12}, {'id': 'B', 'ready_s': 30, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 5, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('boundary: empty car earns no discount', {'cars': [{'id': 'A', 'ready_s': 4, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [9], 'load': 0, 'cap': 12}], 'requests': [{'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 1', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [10, 11], 'load': 8, 'cap': 13}, {'id': 'B', 'ready_s': 20, 'stops': [9], 'load': 11, 'cap': 12}, {'id': 'C', 'ready_s': 0, 'stops': [13, 14, 2], 'load': 11, 'cap': 13}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 9, 'n': 5}], 'stop_penalty_s': 10, 'per_stop_s': 3}, ['A', None]), ('sampled regression 4', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 11, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [3], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 5, 'stops': [], 'load': 11, 'cap': 13}], 'requests': [{'dest': 7, 'n': 2}, {'dest': 3, 'n': 1}, {'dest': 8, 'n': 1}, {'dest': 3, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'B', 'A', 'B']), ('control 7', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [11, 6], 'load': 8, 'cap': 13}, {'id': 'B', 'ready_s': 20, 'stops': [7], 'load': 8, 'cap': 12}, {'id': 'C', 'ready_s': 10, 'stops': [5], 'load': 0, 'cap': 12}], 'requests': [{'dest': 2, 'n': 1}, {'dest': 8, 'n': 5}, {'dest': 11, 'n': 3}, {'dest': 3, 'n': 1}], 'stop_penalty_s': 15, 'per_stop_s': 5}, ['A', 'C', 'A', 'A'])], [('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('sampled regression 32', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 0, 'cap': 13}, {'id': 'B', 'ready_s': 0, 'stops': [5, 13], 'load': 0, 'cap': 13}], 'requests': [{'dest': 12, 'n': 2}, {'dest': 14, 'n': 3}, {'dest': 11, 'n': 1}, {'dest': 7, 'n': 1}, {'dest': 7, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 3}, ['B', 'B', 'A', 'B', 'B']), ('sampled regression 22', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [7, 5, 11], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [], 'load': 8, 'cap': 13}, {'id': 'C', 'ready_s': 0, 'stops': [10, 8], 'load': 0, 'cap': 13}], 'requests': [{'dest': 12, 'n': 2}, {'dest': 11, 'n': 5}, {'dest': 13, 'n': 2}, {'dest': 13, 'n': 1}, {'dest': 7, 'n': 5}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['C', 'A', 'A', 'A', 'C']), ('boundary: empty car earns no discount', {'cars': [{'id': 'A', 'ready_s': 4, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [9], 'load': 0, 'cap': 12}], 'requests': [{'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('boundary: equal cost cars', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 4, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 12', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [6, 3], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 20, 'stops': [10, 8], 'load': 11, 'cap': 13}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 2, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['A', 'A']), ('sampled regression 15', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [3], 'load': 0, 'cap': 13}, {'id': 'B', 'ready_s': 5, 'stops': [7, 2], 'load': 0, 'cap': 13}, {'id': 'C', 'ready_s': 5, 'stops': [12], 'load': 0, 'cap': 12}], 'requests': [{'dest': 2, 'n': 3}, {'dest': 13, 'n': 5}, {'dest': 11, 'n': 1}, {'dest': 2, 'n': 1}, {'dest': 12, 'n': 3}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['B', 'A', 'C', 'B', 'C']), ('control 18', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [2, 7, 5], 'load': 0, 'cap': 12}], 'requests': [{'dest': 10, 'n': 5}, {'dest': 2, 'n': 1}, {'dest': 6, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A'])], [('regression: coincident destination beats an idle car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 7, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B']), ('sampled regression 77', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [11, 9, 14], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [6, 3], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 0, 'stops': [5, 13, 12], 'load': 8, 'cap': 13}], 'requests': [{'dest': 5, 'n': 3}, {'dest': 2, 'n': 1}, {'dest': 14, 'n': 3}, {'dest': 5, 'n': 5}, {'dest': 5, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['C', 'C', 'A', 'B', 'C']), ('control 53', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 11, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 2, 'n': 1}, {'dest': 11, 'n': 5}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B', 'B', 'B']), ('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('boundary: capacity used up by earlier groups', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 6, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 8, 'n': 3}, {'dest': 9, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'B']), ('sampled regression 23', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [2], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [9, 8], 'load': 4, 'cap': 13}, {'id': 'C', 'ready_s': 10, 'stops': [], 'load': 0, 'cap': 13}], 'requests': [{'dest': 8, 'n': 3}, {'dest': 13, 'n': 1}, {'dest': 9, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'C', 'B']), ('control 26', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [9], 'load': 8, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [11, 14, 4], 'load': 8, 'cap': 13}], 'requests': [{'dest': 13, 'n': 1}, {'dest': 5, 'n': 1}, {'dest': 12, 'n': 1}, {'dest': 9, 'n': 1}, {'dest': 7, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A', 'A', 'B']), ('control 29', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [], 'load': 0, 'cap': 13}, {'id': 'B', 'ready_s': 10, 'stops': [2, 5, 7], 'load': 8, 'cap': 13}, {'id': 'C', 'ready_s': 20, 'stops': [2], 'load': 4, 'cap': 12}], 'requests': [{'dest': 6, 'n': 1}, {'dest': 3, 'n': 5}], 'stop_penalty_s': 15, 'per_stop_s': 5}, ['A', 'A'])], [('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('sampled regression 21', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [10, 8, 5], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [4], 'load': 11, 'cap': 13}, {'id': 'C', 'ready_s': 5, 'stops': [], 'load': 4, 'cap': 13}], 'requests': [{'dest': 8, 'n': 1}, {'dest': 4, 'n': 1}, {'dest': 10, 'n': 5}, {'dest': 11, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 3}, ['B', 'B', 'C', 'C']), ('sampled regression 79', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 4, 'cap': 13}, {'id': 'B', 'ready_s': 0, 'stops': [], 'load': 4, 'cap': 13}, {'id': 'C', 'ready_s': 10, 'stops': [10, 3], 'load': 8, 'cap': 12}], 'requests': [{'dest': 13, 'n': 3}, {'dest': 6, 'n': 2}, {'dest': 12, 'n': 3}, {'dest': 10, 'n': 1}, {'dest': 8, 'n': 1}], 'stop_penalty_s': 15, 'per_stop_s': 3}, ['B', 'B', 'B', 'C', 'B']), ('boundary: no eligible car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 11, 'cap': 12}], 'requests': [{'dest': 5, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, [None]), ('boundary: group exactly fills the car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 10, 'cap': 12}, {'id': 'B', 'ready_s': 30, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 5, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 34', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [8], 'load': 8, 'cap': 13}, {'id': 'B', 'ready_s': 10, 'stops': [2], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 1}, {'dest': 11, 'n': 3}, {'dest': 5, 'n': 1}, {'dest': 9, 'n': 1}, {'dest': 10, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B', 'B', 'A', 'B', 'A']), ('sampled regression 37', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 8, 'cap': 12}, {'id': 'B', 'ready_s': 5, 'stops': [9, 14, 8], 'load': 8, 'cap': 12}], 'requests': [{'dest': 5, 'n': 1}, {'dest': 8, 'n': 1}, {'dest': 2, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'B', 'A']), ('control 40', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 4, 'cap': 13}, {'id': 'B', 'ready_s': 0, 'stops': [10, 5, 7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 5, 'n': 5}, {'dest': 5, 'n': 5}, {'dest': 7, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 5}, ['A', 'B', 'A'])], [('regression: coincident destination beats an idle car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 7, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B']), ('sampled regression 42', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [3, 8, 13], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [6], 'load': 8, 'cap': 13}, {'id': 'C', 'ready_s': 5, 'stops': [12], 'load': 8, 'cap': 13}], 'requests': [{'dest': 10, 'n': 3}, {'dest': 12, 'n': 3}, {'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'A', 'A']), ('control 12', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [6, 3], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 20, 'stops': [10, 8], 'load': 11, 'cap': 13}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 2, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['A', 'A']), ('boundary: empty car earns no discount', {'cars': [{'id': 'A', 'ready_s': 4, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [9], 'load': 0, 'cap': 12}], 'requests': [{'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('boundary: equal cost cars', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 4, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 45', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [5], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 5}, {'dest': 9, 'n': 5}, {'dest': 13, 'n': 1}, {'dest': 9, 'n': 2}, {'dest': 8, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['B', 'A', 'B', 'A', 'A']), ('control 48', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [7], 'load': 11, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [2, 13], 'load': 11, 'cap': 13}, {'id': 'C', 'ready_s': 20, 'stops': [10, 12], 'load': 11, 'cap': 12}], 'requests': [{'dest': 6, 'n': 2}, {'dest': 14, 'n': 5}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B', None]), ('control 51', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [3], 'load': 8, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [12, 8], 'load': 0, 'cap': 12}, {'id': 'C', 'ready_s': 20, 'stops': [10], 'load': 0, 'cap': 13}], 'requests': [{'dest': 14, 'n': 1}, {'dest': 13, 'n': 2}, {'dest': 5, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 5}, ['A', 'A', 'A'])]]\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":"b1d4517de90e5bc3527fb4b55d42ea722b5242c1fb912ccf4efc387fd5abd645","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    cars = {c['id']: {'ready': c['ready_s'], 'stops': set(c['stops']), 'load': c['load'], 'cap': c['cap']} for c in x['cars']}\n    out = []\n    for req in x['requests']:\n        best = None\n        for cid in sorted(cars):\n            c = cars[cid]\n            if c['load'] + req['n'] > c['cap']:\n                continue\n            new_stop = 1\n            cost = c['ready'] + x['per_stop_s'] * len(c['stops']) + x['stop_penalty_s'] * new_stop\n            if best is None or cost < best[0]:\n                best = (cost, cid)\n        if best is None:\n            out.append(None)\n            continue\n        c = cars[best[1]]\n        c['stops'].add(req['dest'])\n        c['load'] += req['n']\n        out.append(best[1])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: coincident destination beats an idle car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 7, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B']), ('sampled regression 5', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [3, 6, 5], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [2, 3], 'load': 8, 'cap': 12}, {'id': 'C', 'ready_s': 5, 'stops': [], 'load': 4, 'cap': 12}], 'requests': [{'dest': 2, 'n': 5}, {'dest': 9, 'n': 1}, {'dest': 3, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'B', 'B']), ('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('boundary: group exactly fills the car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 10, 'cap': 12}, {'id': 'B', 'ready_s': 30, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 5, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('boundary: empty car earns no discount', {'cars': [{'id': 'A', 'ready_s': 4, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [9], 'load': 0, 'cap': 12}], 'requests': [{'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 1', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [10, 11], 'load': 8, 'cap': 13}, {'id': 'B', 'ready_s': 20, 'stops': [9], 'load': 11, 'cap': 12}, {'id': 'C', 'ready_s': 0, 'stops': [13, 14, 2], 'load': 11, 'cap': 13}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 9, 'n': 5}], 'stop_penalty_s': 10, 'per_stop_s': 3}, ['A', None]), ('sampled regression 4', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 11, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [3], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 5, 'stops': [], 'load': 11, 'cap': 13}], 'requests': [{'dest': 7, 'n': 2}, {'dest': 3, 'n': 1}, {'dest': 8, 'n': 1}, {'dest': 3, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'B', 'A', 'B']), ('control 7', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [11, 6], 'load': 8, 'cap': 13}, {'id': 'B', 'ready_s': 20, 'stops': [7], 'load': 8, 'cap': 12}, {'id': 'C', 'ready_s': 10, 'stops': [5], 'load': 0, 'cap': 12}], 'requests': [{'dest': 2, 'n': 1}, {'dest': 8, 'n': 5}, {'dest': 11, 'n': 3}, {'dest': 3, 'n': 1}], 'stop_penalty_s': 15, 'per_stop_s': 5}, ['A', 'C', 'A', 'A'])], [('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('sampled regression 32', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 0, 'cap': 13}, {'id': 'B', 'ready_s': 0, 'stops': [5, 13], 'load': 0, 'cap': 13}], 'requests': [{'dest': 12, 'n': 2}, {'dest': 14, 'n': 3}, {'dest': 11, 'n': 1}, {'dest': 7, 'n': 1}, {'dest': 7, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 3}, ['B', 'B', 'A', 'B', 'B']), ('sampled regression 22', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [7, 5, 11], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [], 'load': 8, 'cap': 13}, {'id': 'C', 'ready_s': 0, 'stops': [10, 8], 'load': 0, 'cap': 13}], 'requests': [{'dest': 12, 'n': 2}, {'dest': 11, 'n': 5}, {'dest': 13, 'n': 2}, {'dest': 13, 'n': 1}, {'dest': 7, 'n': 5}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['C', 'A', 'A', 'A', 'C']), ('boundary: empty car earns no discount', {'cars': [{'id': 'A', 'ready_s': 4, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [9], 'load': 0, 'cap': 12}], 'requests': [{'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('boundary: equal cost cars', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 4, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 12', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [6, 3], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 20, 'stops': [10, 8], 'load': 11, 'cap': 13}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 2, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['A', 'A']), ('sampled regression 15', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [3], 'load': 0, 'cap': 13}, {'id': 'B', 'ready_s': 5, 'stops': [7, 2], 'load': 0, 'cap': 13}, {'id': 'C', 'ready_s': 5, 'stops': [12], 'load': 0, 'cap': 12}], 'requests': [{'dest': 2, 'n': 3}, {'dest': 13, 'n': 5}, {'dest': 11, 'n': 1}, {'dest': 2, 'n': 1}, {'dest': 12, 'n': 3}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['B', 'A', 'C', 'B', 'C']), ('control 18', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [2, 7, 5], 'load': 0, 'cap': 12}], 'requests': [{'dest': 10, 'n': 5}, {'dest': 2, 'n': 1}, {'dest': 6, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A'])], [('regression: coincident destination beats an idle car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 7, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B']), ('sampled regression 77', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [11, 9, 14], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [6, 3], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 0, 'stops': [5, 13, 12], 'load': 8, 'cap': 13}], 'requests': [{'dest': 5, 'n': 3}, {'dest': 2, 'n': 1}, {'dest': 14, 'n': 3}, {'dest': 5, 'n': 5}, {'dest': 5, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['C', 'C', 'A', 'B', 'C']), ('control 53', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 11, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 2, 'n': 1}, {'dest': 11, 'n': 5}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B', 'B', 'B']), ('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('boundary: capacity used up by earlier groups', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 6, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 8, 'n': 3}, {'dest': 9, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'B']), ('sampled regression 23', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [2], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [9, 8], 'load': 4, 'cap': 13}, {'id': 'C', 'ready_s': 10, 'stops': [], 'load': 0, 'cap': 13}], 'requests': [{'dest': 8, 'n': 3}, {'dest': 13, 'n': 1}, {'dest': 9, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'C', 'B']), ('control 26', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [9], 'load': 8, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [11, 14, 4], 'load': 8, 'cap': 13}], 'requests': [{'dest': 13, 'n': 1}, {'dest': 5, 'n': 1}, {'dest': 12, 'n': 1}, {'dest': 9, 'n': 1}, {'dest': 7, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A', 'A', 'B']), ('control 29', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [], 'load': 0, 'cap': 13}, {'id': 'B', 'ready_s': 10, 'stops': [2, 5, 7], 'load': 8, 'cap': 13}, {'id': 'C', 'ready_s': 20, 'stops': [2], 'load': 4, 'cap': 12}], 'requests': [{'dest': 6, 'n': 1}, {'dest': 3, 'n': 5}], 'stop_penalty_s': 15, 'per_stop_s': 5}, ['A', 'A'])], [('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('sampled regression 21', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [10, 8, 5], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [4], 'load': 11, 'cap': 13}, {'id': 'C', 'ready_s': 5, 'stops': [], 'load': 4, 'cap': 13}], 'requests': [{'dest': 8, 'n': 1}, {'dest': 4, 'n': 1}, {'dest': 10, 'n': 5}, {'dest': 11, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 3}, ['B', 'B', 'C', 'C']), ('sampled regression 79', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 4, 'cap': 13}, {'id': 'B', 'ready_s': 0, 'stops': [], 'load': 4, 'cap': 13}, {'id': 'C', 'ready_s': 10, 'stops': [10, 3], 'load': 8, 'cap': 12}], 'requests': [{'dest': 13, 'n': 3}, {'dest': 6, 'n': 2}, {'dest': 12, 'n': 3}, {'dest': 10, 'n': 1}, {'dest': 8, 'n': 1}], 'stop_penalty_s': 15, 'per_stop_s': 3}, ['B', 'B', 'B', 'C', 'B']), ('boundary: no eligible car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 11, 'cap': 12}], 'requests': [{'dest': 5, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, [None]), ('boundary: group exactly fills the car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 10, 'cap': 12}, {'id': 'B', 'ready_s': 30, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 5, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 34', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [8], 'load': 8, 'cap': 13}, {'id': 'B', 'ready_s': 10, 'stops': [2], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 1}, {'dest': 11, 'n': 3}, {'dest': 5, 'n': 1}, {'dest': 9, 'n': 1}, {'dest': 10, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B', 'B', 'A', 'B', 'A']), ('sampled regression 37', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 8, 'cap': 12}, {'id': 'B', 'ready_s': 5, 'stops': [9, 14, 8], 'load': 8, 'cap': 12}], 'requests': [{'dest': 5, 'n': 1}, {'dest': 8, 'n': 1}, {'dest': 2, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'B', 'A']), ('control 40', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 4, 'cap': 13}, {'id': 'B', 'ready_s': 0, 'stops': [10, 5, 7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 5, 'n': 5}, {'dest': 5, 'n': 5}, {'dest': 7, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 5}, ['A', 'B', 'A'])], [('regression: coincident destination beats an idle car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 7, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B']), ('sampled regression 42', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [3, 8, 13], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [6], 'load': 8, 'cap': 13}, {'id': 'C', 'ready_s': 5, 'stops': [12], 'load': 8, 'cap': 13}], 'requests': [{'dest': 10, 'n': 3}, {'dest': 12, 'n': 3}, {'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'A', 'A']), ('control 12', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [6, 3], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 20, 'stops': [10, 8], 'load': 11, 'cap': 13}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 2, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['A', 'A']), ('boundary: empty car earns no discount', {'cars': [{'id': 'A', 'ready_s': 4, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [9], 'load': 0, 'cap': 12}], 'requests': [{'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('boundary: equal cost cars', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 4, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 45', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [5], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 5}, {'dest': 9, 'n': 5}, {'dest': 13, 'n': 1}, {'dest': 9, 'n': 2}, {'dest': 8, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['B', 'A', 'B', 'A', 'A']), ('control 48', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [7], 'load': 11, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [2, 13], 'load': 11, 'cap': 13}, {'id': 'C', 'ready_s': 20, 'stops': [10, 12], 'load': 11, 'cap': 12}], 'requests': [{'dest': 6, 'n': 2}, {'dest': 14, 'n': 5}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B', None]), ('control 51', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [3], 'load': 8, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [12, 8], 'load': 0, 'cap': 12}, {'id': 'C', 'ready_s': 20, 'stops': [10], 'load': 0, 'cap': 13}], 'requests': [{'dest': 14, 'n': 1}, {'dest': 13, 'n': 2}, {'dest': 5, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 5}, ['A', 'A', 'A'])]]\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":"c9ac3d71b1f2aace1d64d3de21120d50556ac80abd60c4e6579a066c2d3a7227","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    cars = {c['id']: {'ready': c['ready_s'], 'stops': set(c['stops']), 'load': c['load'], 'cap': c['cap']} for c in x['cars']}\n    out = []\n    for req in x['requests']:\n        best = None\n        for cid in sorted(cars):\n            c = cars[cid]\n            if c['load'] + req['n'] > c['cap']:\n                continue\n            new_stop = 0 if req['dest'] in c['stops'] else 1\n            cost = c['ready'] + x['per_stop_s'] * len(c['stops']) + x['stop_penalty_s'] * new_stop\n            if best is None or cost < best[0]:\n                best = (cost, cid)\n        if best is None:\n            out.append(None)\n            continue\n        c = cars[best[1]]\n        c['stops'].add(req['dest'])\n        c['load'] += req['n']\n        out.append(best[1])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: coincident destination beats an idle car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 7, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B']), ('sampled regression 5', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [3, 6, 5], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [2, 3], 'load': 8, 'cap': 12}, {'id': 'C', 'ready_s': 5, 'stops': [], 'load': 4, 'cap': 12}], 'requests': [{'dest': 2, 'n': 5}, {'dest': 9, 'n': 1}, {'dest': 3, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'B', 'B']), ('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('boundary: group exactly fills the car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 10, 'cap': 12}, {'id': 'B', 'ready_s': 30, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 5, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('boundary: empty car earns no discount', {'cars': [{'id': 'A', 'ready_s': 4, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [9], 'load': 0, 'cap': 12}], 'requests': [{'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 1', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [10, 11], 'load': 8, 'cap': 13}, {'id': 'B', 'ready_s': 20, 'stops': [9], 'load': 11, 'cap': 12}, {'id': 'C', 'ready_s': 0, 'stops': [13, 14, 2], 'load': 11, 'cap': 13}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 9, 'n': 5}], 'stop_penalty_s': 10, 'per_stop_s': 3}, ['A', None]), ('sampled regression 4', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 11, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [3], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 5, 'stops': [], 'load': 11, 'cap': 13}], 'requests': [{'dest': 7, 'n': 2}, {'dest': 3, 'n': 1}, {'dest': 8, 'n': 1}, {'dest': 3, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'B', 'A', 'B']), ('control 7', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [11, 6], 'load': 8, 'cap': 13}, {'id': 'B', 'ready_s': 20, 'stops': [7], 'load': 8, 'cap': 12}, {'id': 'C', 'ready_s': 10, 'stops': [5], 'load': 0, 'cap': 12}], 'requests': [{'dest': 2, 'n': 1}, {'dest': 8, 'n': 5}, {'dest': 11, 'n': 3}, {'dest': 3, 'n': 1}], 'stop_penalty_s': 15, 'per_stop_s': 5}, ['A', 'C', 'A', 'A'])], [('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('sampled regression 32', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 0, 'cap': 13}, {'id': 'B', 'ready_s': 0, 'stops': [5, 13], 'load': 0, 'cap': 13}], 'requests': [{'dest': 12, 'n': 2}, {'dest': 14, 'n': 3}, {'dest': 11, 'n': 1}, {'dest': 7, 'n': 1}, {'dest': 7, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 3}, ['B', 'B', 'A', 'B', 'B']), ('sampled regression 22', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [7, 5, 11], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [], 'load': 8, 'cap': 13}, {'id': 'C', 'ready_s': 0, 'stops': [10, 8], 'load': 0, 'cap': 13}], 'requests': [{'dest': 12, 'n': 2}, {'dest': 11, 'n': 5}, {'dest': 13, 'n': 2}, {'dest': 13, 'n': 1}, {'dest': 7, 'n': 5}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['C', 'A', 'A', 'A', 'C']), ('boundary: empty car earns no discount', {'cars': [{'id': 'A', 'ready_s': 4, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [9], 'load': 0, 'cap': 12}], 'requests': [{'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('boundary: equal cost cars', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 4, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 12', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [6, 3], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 20, 'stops': [10, 8], 'load': 11, 'cap': 13}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 2, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['A', 'A']), ('sampled regression 15', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [3], 'load': 0, 'cap': 13}, {'id': 'B', 'ready_s': 5, 'stops': [7, 2], 'load': 0, 'cap': 13}, {'id': 'C', 'ready_s': 5, 'stops': [12], 'load': 0, 'cap': 12}], 'requests': [{'dest': 2, 'n': 3}, {'dest': 13, 'n': 5}, {'dest': 11, 'n': 1}, {'dest': 2, 'n': 1}, {'dest': 12, 'n': 3}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['B', 'A', 'C', 'B', 'C']), ('control 18', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [2, 7, 5], 'load': 0, 'cap': 12}], 'requests': [{'dest': 10, 'n': 5}, {'dest': 2, 'n': 1}, {'dest': 6, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A'])], [('regression: coincident destination beats an idle car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 7, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B']), ('sampled regression 77', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [11, 9, 14], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [6, 3], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 0, 'stops': [5, 13, 12], 'load': 8, 'cap': 13}], 'requests': [{'dest': 5, 'n': 3}, {'dest': 2, 'n': 1}, {'dest': 14, 'n': 3}, {'dest': 5, 'n': 5}, {'dest': 5, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['C', 'C', 'A', 'B', 'C']), ('control 53', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 11, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 2, 'n': 1}, {'dest': 11, 'n': 5}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B', 'B', 'B']), ('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('boundary: capacity used up by earlier groups', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 6, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 8, 'n': 3}, {'dest': 9, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'B']), ('sampled regression 23', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [2], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [9, 8], 'load': 4, 'cap': 13}, {'id': 'C', 'ready_s': 10, 'stops': [], 'load': 0, 'cap': 13}], 'requests': [{'dest': 8, 'n': 3}, {'dest': 13, 'n': 1}, {'dest': 9, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'C', 'B']), ('control 26', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [9], 'load': 8, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [11, 14, 4], 'load': 8, 'cap': 13}], 'requests': [{'dest': 13, 'n': 1}, {'dest': 5, 'n': 1}, {'dest': 12, 'n': 1}, {'dest': 9, 'n': 1}, {'dest': 7, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A', 'A', 'B']), ('control 29', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [], 'load': 0, 'cap': 13}, {'id': 'B', 'ready_s': 10, 'stops': [2, 5, 7], 'load': 8, 'cap': 13}, {'id': 'C', 'ready_s': 20, 'stops': [2], 'load': 4, 'cap': 12}], 'requests': [{'dest': 6, 'n': 1}, {'dest': 3, 'n': 5}], 'stop_penalty_s': 15, 'per_stop_s': 5}, ['A', 'A'])], [('regression: second group sees the first allocation', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 2, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}, {'dest': 6, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'A', 'A']), ('sampled regression 21', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [10, 8, 5], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [4], 'load': 11, 'cap': 13}, {'id': 'C', 'ready_s': 5, 'stops': [], 'load': 4, 'cap': 13}], 'requests': [{'dest': 8, 'n': 1}, {'dest': 4, 'n': 1}, {'dest': 10, 'n': 5}, {'dest': 11, 'n': 3}], 'stop_penalty_s': 10, 'per_stop_s': 3}, ['B', 'B', 'C', 'C']), ('sampled regression 79', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 4, 'cap': 13}, {'id': 'B', 'ready_s': 0, 'stops': [], 'load': 4, 'cap': 13}, {'id': 'C', 'ready_s': 10, 'stops': [10, 3], 'load': 8, 'cap': 12}], 'requests': [{'dest': 13, 'n': 3}, {'dest': 6, 'n': 2}, {'dest': 12, 'n': 3}, {'dest': 10, 'n': 1}, {'dest': 8, 'n': 1}], 'stop_penalty_s': 15, 'per_stop_s': 3}, ['B', 'B', 'B', 'C', 'B']), ('boundary: no eligible car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 11, 'cap': 12}], 'requests': [{'dest': 5, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, [None]), ('boundary: group exactly fills the car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 10, 'cap': 12}, {'id': 'B', 'ready_s': 30, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 5, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 34', {'cars': [{'id': 'A', 'ready_s': 20, 'stops': [8], 'load': 8, 'cap': 13}, {'id': 'B', 'ready_s': 10, 'stops': [2], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 1}, {'dest': 11, 'n': 3}, {'dest': 5, 'n': 1}, {'dest': 9, 'n': 1}, {'dest': 10, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B', 'B', 'A', 'B', 'A']), ('sampled regression 37', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [], 'load': 8, 'cap': 12}, {'id': 'B', 'ready_s': 5, 'stops': [9, 14, 8], 'load': 8, 'cap': 12}], 'requests': [{'dest': 5, 'n': 1}, {'dest': 8, 'n': 1}, {'dest': 2, 'n': 2}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A', 'B', 'A']), ('control 40', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 4, 'cap': 13}, {'id': 'B', 'ready_s': 0, 'stops': [10, 5, 7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 5, 'n': 5}, {'dest': 5, 'n': 5}, {'dest': 7, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 5}, ['A', 'B', 'A'])], [('regression: coincident destination beats an idle car', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [7], 'load': 0, 'cap': 12}], 'requests': [{'dest': 7, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B']), ('sampled regression 42', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [3, 8, 13], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [6], 'load': 8, 'cap': 13}, {'id': 'C', 'ready_s': 5, 'stops': [12], 'load': 8, 'cap': 13}], 'requests': [{'dest': 10, 'n': 3}, {'dest': 12, 'n': 3}, {'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['C', 'A', 'A']), ('control 12', {'cars': [{'id': 'A', 'ready_s': 10, 'stops': [6, 3], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [], 'load': 4, 'cap': 12}, {'id': 'C', 'ready_s': 20, 'stops': [10, 8], 'load': 11, 'cap': 13}], 'requests': [{'dest': 10, 'n': 1}, {'dest': 2, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['A', 'A']), ('boundary: empty car earns no discount', {'cars': [{'id': 'A', 'ready_s': 4, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [9], 'load': 0, 'cap': 12}], 'requests': [{'dest': 3, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('boundary: equal cost cars', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}, {'id': 'B', 'ready_s': 5, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 4, 'n': 1}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['A']), ('control 45', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [5], 'load': 4, 'cap': 12}, {'id': 'B', 'ready_s': 0, 'stops': [], 'load': 0, 'cap': 12}], 'requests': [{'dest': 6, 'n': 5}, {'dest': 9, 'n': 5}, {'dest': 13, 'n': 1}, {'dest': 9, 'n': 2}, {'dest': 8, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 3}, ['B', 'A', 'B', 'A', 'A']), ('control 48', {'cars': [{'id': 'A', 'ready_s': 0, 'stops': [7], 'load': 11, 'cap': 12}, {'id': 'B', 'ready_s': 20, 'stops': [2, 13], 'load': 11, 'cap': 13}, {'id': 'C', 'ready_s': 20, 'stops': [10, 12], 'load': 11, 'cap': 12}], 'requests': [{'dest': 6, 'n': 2}, {'dest': 14, 'n': 5}], 'stop_penalty_s': 10, 'per_stop_s': 5}, ['B', None]), ('control 51', {'cars': [{'id': 'A', 'ready_s': 5, 'stops': [3], 'load': 8, 'cap': 12}, {'id': 'B', 'ready_s': 10, 'stops': [12, 8], 'load': 0, 'cap': 12}, {'id': 'C', 'ready_s': 20, 'stops': [10], 'load': 0, 'cap': 13}], 'requests': [{'dest': 14, 'n': 1}, {'dest': 13, 'n': 2}, {'dest': 5, 'n': 1}], 'stop_penalty_s': 8, 'per_stop_s': 5}, ['A', 'A', 'A'])]]\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-destination-dispatch-coincident-stop-credit","generated_at":"2026-09-29T14:47:52.209554+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":"Waive the stop penalty only when the destination is already a stop.","root_cause":"Every allocation is charged a new stop even when the car already stops there.","sha256":"ff9446a0dd7fb0c954e57fa7ebbbb4976435d37882f7e3fb52a0a3fc3ac21ec2","title":"Destination dispatch allocation: coincident stop credit · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":41.718,"exit_code":1,"observations":[{"actual":["A"],"check":"regression: coincident destination beats an idle car","expected":["B"],"passed":false},{"actual":["C","B","B"],"check":"sampled regression 5","expected":["C","B","B"],"passed":true},{"actual":["A","B","A"],"check":"regression: second group sees the first allocation","expected":["A","A","A"],"passed":false},{"actual":["A"],"check":"boundary: group exactly fills the car","expected":["A"],"passed":true},{"actual":["A"],"check":"boundary: empty car earns no discount","expected":["A"],"passed":true},{"actual":["A",null],"check":"control 1","expected":["A",null],"passed":true},{"actual":["C","A","B","B"],"check":"sampled regression 4","expected":["C","B","A","B"],"passed":false},{"actual":["A","C","A","A"],"check":"control 7","expected":["A","C","A","A"],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: coincident destination beats an idle car\", \"actual\": [\"A\"], \"expected\": [\"B\"], \"passed\": false}, {\"check\": \"sampled regression 5\", \"actual\": [\"C\", \"B\", \"B\"], \"expected\": [\"C\", \"B\", \"B\"], \"passed\": true}, {\"check\": \"regression: second group sees the first allocation\", \"actual\": [\"A\", \"B\", \"A\"], \"expected\": [\"A\", \"A\", \"A\"], \"passed\": false}, {\"check\": \"boundary: group exactly fills the car\", \"actual\": [\"A\"], \"expected\": [\"A\"], \"passed\": true}, {\"check\": \"boundary: empty car earns no discount\", \"actual\": [\"A\"], \"expected\": [\"A\"], \"passed\": true}, {\"check\": \"control 1\", \"actual\": [\"A\", null], \"expected\": [\"A\", null], \"passed\": true}, {\"check\": \"sampled regression 4\", \"actual\": [\"C\", \"A\", \"B\", \"B\"], \"expected\": [\"C\", \"B\", \"A\", \"B\"], \"passed\": false}, {\"check\": \"control 7\", \"actual\": [\"A\", \"C\", \"A\", \"A\"], \"expected\": [\"A\", \"C\", \"A\", \"A\"], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.066,"exit_code":1,"observations":[{"actual":["A"],"check":"regression: coincident destination beats an idle car","expected":["B"],"passed":false},{"actual":["C","B","C"],"check":"sampled regression 5","expected":["C","B","B"],"passed":false},{"actual":["A","B","A"],"check":"regression: second group sees the first allocation","expected":["A","A","A"],"passed":false},{"actual":["A"],"check":"boundary: group exactly fills the car","expected":["A"],"passed":true},{"actual":["A"],"check":"boundary: empty car earns no discount","expected":["A"],"passed":true},{"actual":["A",null],"check":"control 1","expected":["A",null],"passed":true},{"actual":["C","A","B","B"],"check":"sampled regression 4","expected":["C","B","A","B"],"passed":false},{"actual":["A","C","A","A"],"check":"control 7","expected":["A","C","A","A"],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: coincident destination beats an idle car\", \"actual\": [\"A\"], \"expected\": [\"B\"], \"passed\": false}, {\"check\": \"sampled regression 5\", \"actual\": [\"C\", \"B\", \"C\"], \"expected\": [\"C\", \"B\", \"B\"], \"passed\": false}, {\"check\": \"regression: second group sees the first allocation\", \"actual\": [\"A\", \"B\", \"A\"], \"expected\": [\"A\", \"A\", \"A\"], \"passed\": false}, {\"check\": \"boundary: group exactly fills the car\", \"actual\": [\"A\"], \"expected\": [\"A\"], \"passed\": true}, {\"check\": \"boundary: empty car earns no discount\", \"actual\": [\"A\"], \"expected\": [\"A\"], \"passed\": true}, {\"check\": \"control 1\", \"actual\": [\"A\", null], \"expected\": [\"A\", null], \"passed\": true}, {\"check\": \"sampled regression 4\", \"actual\": [\"C\", \"A\", \"B\", \"B\"], \"expected\": [\"C\", \"B\", \"A\", \"B\"], \"passed\": false}, {\"check\": \"control 7\", \"actual\": [\"A\", \"C\", \"A\", \"A\"], \"expected\": [\"A\", \"C\", \"A\", \"A\"], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":41.431,"exit_code":0,"observations":[{"actual":["B"],"check":"regression: coincident destination beats an idle car","expected":["B"],"passed":true},{"actual":["C","B","B"],"check":"sampled regression 5","expected":["C","B","B"],"passed":true},{"actual":["A","A","A"],"check":"regression: second group sees the first allocation","expected":["A","A","A"],"passed":true},{"actual":["A"],"check":"boundary: group exactly fills the car","expected":["A"],"passed":true},{"actual":["A"],"check":"boundary: empty car earns no discount","expected":["A"],"passed":true},{"actual":["A",null],"check":"control 1","expected":["A",null],"passed":true},{"actual":["C","B","A","B"],"check":"sampled regression 4","expected":["C","B","A","B"],"passed":true},{"actual":["A","C","A","A"],"check":"control 7","expected":["A","C","A","A"],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: coincident destination beats an idle car\", \"actual\": [\"B\"], \"expected\": [\"B\"], \"passed\": true}, {\"check\": \"sampled regression 5\", \"actual\": [\"C\", \"B\", \"B\"], \"expected\": [\"C\", \"B\", \"B\"], \"passed\": true}, {\"check\": \"regression: second group sees the first allocation\", \"actual\": [\"A\", \"A\", \"A\"], \"expected\": [\"A\", \"A\", \"A\"], \"passed\": true}, {\"check\": \"boundary: group exactly fills the car\", \"actual\": [\"A\"], \"expected\": [\"A\"], \"passed\": true}, {\"check\": \"boundary: empty car earns no discount\", \"actual\": [\"A\"], \"expected\": [\"A\"], \"passed\": true}, {\"check\": \"control 1\", \"actual\": [\"A\", null], \"expected\": [\"A\", null], \"passed\": true}, {\"check\": \"sampled regression 4\", \"actual\": [\"C\", \"B\", \"A\", \"B\"], \"expected\": [\"C\", \"B\", \"A\", \"B\"], \"passed\": true}, {\"check\": \"control 7\", \"actual\": [\"A\", \"C\", \"A\", \"A\"], \"expected\": [\"A\", \"C\", \"A\", \"A\"], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}