{"abstract":"Duplicate rows from a timetable merge inflate the room cost.","category":"Exam timetabling constraints","checks":8,"contract":"Assignment rows [exam, room, period] (a split exam has one row per room; rows may repeat). Each exam pays its period penalty once per distinct period it occupies and each room penalty once per distinct (exam, room). Return [period penalty, room penalty, total].","evaluation_group":"w2-exam-timetabling-constraints-period-and-room-penalties","failed_approach":"Recording the pair but charging outside the guard still charges every row.","family":"w2-exam-timetabling-constraints-period-and-room-penalties-repeated-row-room-charge","id":"FA-94661","implementations":{"attempt":{"sha256":"efbc033a09dd0a4592d7a9a41a8bdca465b1a26500ab0d4b1ba63039d3217bd9","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(assign, ppen, rpen):\n    seen_exam = set()\n    seen_room = set()\n    pp = rp = 0\n    for ex, r, p in assign:\n        if (ex, p) not in seen_exam:\n            seen_exam.add((ex, p))\n            pp += ppen[p]\n        if (ex, r) not in seen_room:\n            seen_room.add((ex, r))\n        rp += rpen[r]\n    return [pp, rp, pp + rp]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: repeated row room charge 1',\n   [[['A', 'R2', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('regression variant: repeated row room charge 2',\n   [[['CHEM120', 'R1', 3], ['CHEM120', 'R2', 3], ['MATH101', 'R3', 2], ['MATH101H', 'R2', 1],\n     ['MATH101', 'R2', 1], ['MATH101', 'R2', 2]],\n    [10, 5, 5, 1], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [16, 16, 32]),\n  ('partial repair guard 3',\n   [[['PHYS110', 'R2', 0], ['MATH101H', 'R2', 1], ['MATH101', 'R2', 1], ['MATH101', 'R2', 3],\n     ['PHYS110', 'R2', 1], ['MATH101H', 'R1', 3], ['MATH101H', 'R3', 2]],\n    [10, 1, 5, 10], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [38, 11, 49]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['MATH101H', 'R1', 1], ['PHYS110', 'R2', 1], ['MATH101', 'R3', 3], ['PHYS110', 'R2', 1]], [0, 1, 5, 1],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [3, 10, 13]),\n  ('normal control 7',\n   [[['CHEM120', 'R3', 1], ['PHYS110', 'R1', 3], ['CHEM120', 'R1', 2], ['CHEM120', 'R3', 2],\n     ['MATH101H', 'R3', 3]],\n    [1, 5, 0, 10], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [25, 14, 39]),\n  ('normal control 8',\n   [[['MATH101', 'R3', 2], ['MATH101H', 'R1', 2], ['CHEM120', 'R1', 3], ['PHYS110', 'R2', 2],\n     ['PHYS110', 'R1', 3], ['PHYS110', 'R2', 2], ['CHEM120', 'R3', 2]],\n    [0, 1, 10, 0], {'R1': 0, 'R2': 1, 'R3': 2}],\n   [40, 5, 45])],\n [('regression: repeated row room charge 1',\n   [[['CHEM120', 'R2', 0], ['MATH101H', 'R1', 3], ['PHYS110', 'R2', 3], ['PHYS110', 'R2', 3],\n     ['PHYS110', 'R2', 3]],\n    [1, 1, 0, 1], {'R1': 0, 'R2': 1, 'R3': 2}],\n   [3, 2, 5]),\n  ('regression variant: repeated row room charge 2',\n   [[['MATH101', 'R2', 1], ['MATH101', 'R1', 0], ['CHEM120', 'R2', 3], ['MATH101H', 'R2', 0],\n     ['MATH101', 'R2', 0]],\n    [0, 1, 10, 5], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [6, 3, 9]),\n  ('partial repair guard 3',\n   [[['PHYS110', 'R3', 3], ['MATH101H', 'R1', 0], ['MATH101H', 'R3', 0], ['PHYS110', 'R3', 3]], [1, 1, 10, 0],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [1, 14, 15]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['PHYS110', 'R1', 0], ['MATH101H', 'R1', 0]], [0, 5, 0, 10], {'R1': 0, 'R2': 3, 'R3': 2}], [0, 0, 0]),\n  ('normal control 7',\n   [[['MATH101H', 'R1', 3], ['PHYS110', 'R2', 0], ['MATH101H', 'R3', 3], ['CHEM120', 'R1', 0],\n     ['CHEM120', 'R3', 0], ['MATH101', 'R3', 0], ['MATH101', 'R3', 0]],\n    [10, 1, 10, 5], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [35, 24, 59]),\n  ('normal control 8',\n   [[['MATH101H', 'R2', 3], ['CHEM120', 'R3', 3], ['CHEM120', 'R1', 3], ['CHEM120', 'R2', 2]], [5, 5, 1, 0],\n    {'R1': 0, 'R2': 3, 'R3': 2}],\n   [1, 8, 9])],\n [('regression: repeated row room charge 1',\n   [[['PHYS110', 'R3', 3], ['PHYS110', 'R3', 1], ['CHEM120', 'R2', 0]], [0, 0, 5, 0],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [0, 10, 10]),\n  ('regression variant: repeated row room charge 2',\n   [[['MATH101', 'R2', 1], ['PHYS110', 'R3', 1], ['MATH101H', 'R1', 2], ['PHYS110', 'R3', 3]], [1, 5, 10, 0],\n    {'R1': 0, 'R2': 1, 'R3': 7}],\n   [20, 8, 28]),\n  ('partial repair guard 3',\n   [[['MATH101', 'R1', 0], ['MATH101', 'R2', 3], ['MATH101', 'R3', 1], ['MATH101H', 'R1', 3],\n     ['PHYS110', 'R1', 0], ['MATH101', 'R1', 0], ['MATH101', 'R3', 1]],\n    [1, 0, 5, 10], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [22, 5, 27]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['CHEM120', 'R2', 0], ['MATH101H', 'R3', 2], ['CHEM120', 'R1', 3]], [0, 1, 1, 10],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [11, 10, 21]),\n  ('normal control 7',\n   [[['MATH101', 'R1', 3], ['MATH101H', 'R1', 0], ['MATH101H', 'R1', 0]], [0, 0, 1, 5],\n    {'R1': 0, 'R2': 1, 'R3': 2}],\n   [5, 0, 5]),\n  ('normal control 8',\n   [[['CHEM120', 'R1', 2], ['MATH101H', 'R3', 2], ['CHEM120', 'R1', 2]], [1, 10, 10, 5],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [20, 7, 27])],\n [('regression: repeated row room charge 1',\n   [[['PHYS110', 'R3', 2], ['CHEM120', 'R1', 2], ['MATH101', 'R1', 2], ['CHEM120', 'R3', 3],\n     ['CHEM120', 'R1', 3], ['CHEM120', 'R3', 3]],\n    [0, 0, 5, 1], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [16, 4, 20]),\n  ('regression variant: repeated row room charge 2',\n   [[['CHEM120', 'R3', 3], ['MATH101', 'R2', 0], ['PHYS110', 'R2', 1], ['CHEM120', 'R2', 3],\n     ['PHYS110', 'R3', 0], ['CHEM120', 'R2', 3], ['MATH101H', 'R1', 3]],\n    [1, 10, 10, 5], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [22, 13, 35]),\n  ('partial repair guard 3',\n   [[['CHEM120', 'R1', 0], ['MATH101H', 'R1', 3], ['MATH101', 'R1', 1], ['CHEM120', 'R2', 2],\n     ['MATH101', 'R2', 3], ['CHEM120', 'R1', 0], ['CHEM120', 'R2', 2]],\n    [0, 0, 10, 5], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [20, 6, 26]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['MATH101H', 'R1', 2], ['CHEM120', 'R1', 0], ['MATH101H', 'R1', 1], ['MATH101', 'R1', 3],\n     ['MATH101H', 'R1', 1]],\n    [1, 0, 10, 10], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [21, 0, 21]),\n  ('normal control 7',\n   [[['MATH101H', 'R3', 1], ['MATH101H', 'R1', 1]], [0, 5, 5, 5], {'R1': 0, 'R2': 3, 'R3': 2}], [5, 2, 7]),\n  ('normal control 8',\n   [[['CHEM120', 'R3', 3], ['MATH101H', 'R3', 0], ['MATH101H', 'R3', 0], ['MATH101', 'R2', 3],\n     ['MATH101', 'R3', 2]],\n    [0, 0, 0, 0], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [0, 22, 22])],\n [('regression: repeated row room charge 1',\n   [[['MATH101', 'R2', 1], ['MATH101', 'R3', 1], ['MATH101H', 'R2', 2], ['CHEM120', 'R2', 3],\n     ['MATH101H', 'R2', 1], ['MATH101', 'R2', 3]],\n    [5, 10, 0, 10], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [40, 16, 56]),\n  ('regression variant: repeated row room charge 2',\n   [[['MATH101H', 'R1', 3], ['MATH101H', 'R3', 2], ['MATH101', 'R3', 0], ['MATH101H', 'R1', 3],\n     ['MATH101H', 'R3', 0], ['PHYS110', 'R2', 3]],\n    [5, 0, 10, 0], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [20, 7, 27]),\n  ('partial repair guard 3',\n   [[['MATH101', 'R2', 1], ['CHEM120', 'R2', 0], ['MATH101', 'R2', 1]], [10, 0, 5, 5],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [10, 6, 16]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['CHEM120', 'R2', 2], ['PHYS110', 'R1', 1], ['CHEM120', 'R1', 0], ['MATH101H', 'R2', 1],\n     ['MATH101', 'R2', 2], ['CHEM120', 'R3', 0], ['CHEM120', 'R3', 3], ['CHEM120', 'R2', 2]],\n    [1, 1, 10, 5], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [28, 10, 38]),\n  ('normal control 7',\n   [[['CHEM120', 'R3', 3], ['MATH101H', 'R3', 0], ['MATH101H', 'R3', 0], ['MATH101', 'R2', 3],\n     ['MATH101', 'R3', 2]],\n    [0, 0, 0, 0], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [0, 22, 22]),\n  ('normal control 8',\n   [[['PHYS110', 'R1', 2], ['CHEM120', 'R2', 1], ['MATH101H', 'R3', 2], ['MATH101', 'R3', 0],\n     ['CHEM120', 'R2', 1], ['MATH101H', 'R3', 1]],\n    [10, 0, 10, 0], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [30, 7, 37])]]\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":"91fc41a9768021ef08b895790c761bce64197f14d85a6a5334b5d862403e4b07","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(assign, ppen, rpen):\n    seen_exam = set()\n    seen_room = set()\n    pp = rp = 0\n    for ex, r, p in assign:\n        if (ex, p) not in seen_exam:\n            seen_exam.add((ex, p))\n            pp += ppen[p]\n        rp += rpen[r]\n    return [pp, rp, pp + rp]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: repeated row room charge 1',\n   [[['A', 'R2', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('regression variant: repeated row room charge 2',\n   [[['CHEM120', 'R1', 3], ['CHEM120', 'R2', 3], ['MATH101', 'R3', 2], ['MATH101H', 'R2', 1],\n     ['MATH101', 'R2', 1], ['MATH101', 'R2', 2]],\n    [10, 5, 5, 1], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [16, 16, 32]),\n  ('partial repair guard 3',\n   [[['PHYS110', 'R2', 0], ['MATH101H', 'R2', 1], ['MATH101', 'R2', 1], ['MATH101', 'R2', 3],\n     ['PHYS110', 'R2', 1], ['MATH101H', 'R1', 3], ['MATH101H', 'R3', 2]],\n    [10, 1, 5, 10], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [38, 11, 49]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['MATH101H', 'R1', 1], ['PHYS110', 'R2', 1], ['MATH101', 'R3', 3], ['PHYS110', 'R2', 1]], [0, 1, 5, 1],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [3, 10, 13]),\n  ('normal control 7',\n   [[['CHEM120', 'R3', 1], ['PHYS110', 'R1', 3], ['CHEM120', 'R1', 2], ['CHEM120', 'R3', 2],\n     ['MATH101H', 'R3', 3]],\n    [1, 5, 0, 10], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [25, 14, 39]),\n  ('normal control 8',\n   [[['MATH101', 'R3', 2], ['MATH101H', 'R1', 2], ['CHEM120', 'R1', 3], ['PHYS110', 'R2', 2],\n     ['PHYS110', 'R1', 3], ['PHYS110', 'R2', 2], ['CHEM120', 'R3', 2]],\n    [0, 1, 10, 0], {'R1': 0, 'R2': 1, 'R3': 2}],\n   [40, 5, 45])],\n [('regression: repeated row room charge 1',\n   [[['CHEM120', 'R2', 0], ['MATH101H', 'R1', 3], ['PHYS110', 'R2', 3], ['PHYS110', 'R2', 3],\n     ['PHYS110', 'R2', 3]],\n    [1, 1, 0, 1], {'R1': 0, 'R2': 1, 'R3': 2}],\n   [3, 2, 5]),\n  ('regression variant: repeated row room charge 2',\n   [[['MATH101', 'R2', 1], ['MATH101', 'R1', 0], ['CHEM120', 'R2', 3], ['MATH101H', 'R2', 0],\n     ['MATH101', 'R2', 0]],\n    [0, 1, 10, 5], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [6, 3, 9]),\n  ('partial repair guard 3',\n   [[['PHYS110', 'R3', 3], ['MATH101H', 'R1', 0], ['MATH101H', 'R3', 0], ['PHYS110', 'R3', 3]], [1, 1, 10, 0],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [1, 14, 15]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['PHYS110', 'R1', 0], ['MATH101H', 'R1', 0]], [0, 5, 0, 10], {'R1': 0, 'R2': 3, 'R3': 2}], [0, 0, 0]),\n  ('normal control 7',\n   [[['MATH101H', 'R1', 3], ['PHYS110', 'R2', 0], ['MATH101H', 'R3', 3], ['CHEM120', 'R1', 0],\n     ['CHEM120', 'R3', 0], ['MATH101', 'R3', 0], ['MATH101', 'R3', 0]],\n    [10, 1, 10, 5], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [35, 24, 59]),\n  ('normal control 8',\n   [[['MATH101H', 'R2', 3], ['CHEM120', 'R3', 3], ['CHEM120', 'R1', 3], ['CHEM120', 'R2', 2]], [5, 5, 1, 0],\n    {'R1': 0, 'R2': 3, 'R3': 2}],\n   [1, 8, 9])],\n [('regression: repeated row room charge 1',\n   [[['PHYS110', 'R3', 3], ['PHYS110', 'R3', 1], ['CHEM120', 'R2', 0]], [0, 0, 5, 0],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [0, 10, 10]),\n  ('regression variant: repeated row room charge 2',\n   [[['MATH101', 'R2', 1], ['PHYS110', 'R3', 1], ['MATH101H', 'R1', 2], ['PHYS110', 'R3', 3]], [1, 5, 10, 0],\n    {'R1': 0, 'R2': 1, 'R3': 7}],\n   [20, 8, 28]),\n  ('partial repair guard 3',\n   [[['MATH101', 'R1', 0], ['MATH101', 'R2', 3], ['MATH101', 'R3', 1], ['MATH101H', 'R1', 3],\n     ['PHYS110', 'R1', 0], ['MATH101', 'R1', 0], ['MATH101', 'R3', 1]],\n    [1, 0, 5, 10], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [22, 5, 27]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['CHEM120', 'R2', 0], ['MATH101H', 'R3', 2], ['CHEM120', 'R1', 3]], [0, 1, 1, 10],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [11, 10, 21]),\n  ('normal control 7',\n   [[['MATH101', 'R1', 3], ['MATH101H', 'R1', 0], ['MATH101H', 'R1', 0]], [0, 0, 1, 5],\n    {'R1': 0, 'R2': 1, 'R3': 2}],\n   [5, 0, 5]),\n  ('normal control 8',\n   [[['CHEM120', 'R1', 2], ['MATH101H', 'R3', 2], ['CHEM120', 'R1', 2]], [1, 10, 10, 5],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [20, 7, 27])],\n [('regression: repeated row room charge 1',\n   [[['PHYS110', 'R3', 2], ['CHEM120', 'R1', 2], ['MATH101', 'R1', 2], ['CHEM120', 'R3', 3],\n     ['CHEM120', 'R1', 3], ['CHEM120', 'R3', 3]],\n    [0, 0, 5, 1], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [16, 4, 20]),\n  ('regression variant: repeated row room charge 2',\n   [[['CHEM120', 'R3', 3], ['MATH101', 'R2', 0], ['PHYS110', 'R2', 1], ['CHEM120', 'R2', 3],\n     ['PHYS110', 'R3', 0], ['CHEM120', 'R2', 3], ['MATH101H', 'R1', 3]],\n    [1, 10, 10, 5], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [22, 13, 35]),\n  ('partial repair guard 3',\n   [[['CHEM120', 'R1', 0], ['MATH101H', 'R1', 3], ['MATH101', 'R1', 1], ['CHEM120', 'R2', 2],\n     ['MATH101', 'R2', 3], ['CHEM120', 'R1', 0], ['CHEM120', 'R2', 2]],\n    [0, 0, 10, 5], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [20, 6, 26]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['MATH101H', 'R1', 2], ['CHEM120', 'R1', 0], ['MATH101H', 'R1', 1], ['MATH101', 'R1', 3],\n     ['MATH101H', 'R1', 1]],\n    [1, 0, 10, 10], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [21, 0, 21]),\n  ('normal control 7',\n   [[['MATH101H', 'R3', 1], ['MATH101H', 'R1', 1]], [0, 5, 5, 5], {'R1': 0, 'R2': 3, 'R3': 2}], [5, 2, 7]),\n  ('normal control 8',\n   [[['CHEM120', 'R3', 3], ['MATH101H', 'R3', 0], ['MATH101H', 'R3', 0], ['MATH101', 'R2', 3],\n     ['MATH101', 'R3', 2]],\n    [0, 0, 0, 0], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [0, 22, 22])],\n [('regression: repeated row room charge 1',\n   [[['MATH101', 'R2', 1], ['MATH101', 'R3', 1], ['MATH101H', 'R2', 2], ['CHEM120', 'R2', 3],\n     ['MATH101H', 'R2', 1], ['MATH101', 'R2', 3]],\n    [5, 10, 0, 10], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [40, 16, 56]),\n  ('regression variant: repeated row room charge 2',\n   [[['MATH101H', 'R1', 3], ['MATH101H', 'R3', 2], ['MATH101', 'R3', 0], ['MATH101H', 'R1', 3],\n     ['MATH101H', 'R3', 0], ['PHYS110', 'R2', 3]],\n    [5, 0, 10, 0], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [20, 7, 27]),\n  ('partial repair guard 3',\n   [[['MATH101', 'R2', 1], ['CHEM120', 'R2', 0], ['MATH101', 'R2', 1]], [10, 0, 5, 5],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [10, 6, 16]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['CHEM120', 'R2', 2], ['PHYS110', 'R1', 1], ['CHEM120', 'R1', 0], ['MATH101H', 'R2', 1],\n     ['MATH101', 'R2', 2], ['CHEM120', 'R3', 0], ['CHEM120', 'R3', 3], ['CHEM120', 'R2', 2]],\n    [1, 1, 10, 5], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [28, 10, 38]),\n  ('normal control 7',\n   [[['CHEM120', 'R3', 3], ['MATH101H', 'R3', 0], ['MATH101H', 'R3', 0], ['MATH101', 'R2', 3],\n     ['MATH101', 'R3', 2]],\n    [0, 0, 0, 0], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [0, 22, 22]),\n  ('normal control 8',\n   [[['PHYS110', 'R1', 2], ['CHEM120', 'R2', 1], ['MATH101H', 'R3', 2], ['MATH101', 'R3', 0],\n     ['CHEM120', 'R2', 1], ['MATH101H', 'R3', 1]],\n    [10, 0, 10, 0], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [30, 7, 37])]]\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":"1d8b290376668506ae9917b4d5b13081eb11c897efe0486b6ec65ceb7606d23d","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(assign, ppen, rpen):\n    seen_exam = set()\n    seen_room = set()\n    pp = rp = 0\n    for ex, r, p in assign:\n        if (ex, p) not in seen_exam:\n            seen_exam.add((ex, p))\n            pp += ppen[p]\n        if (ex, r) not in seen_room:\n            seen_room.add((ex, r))\n            rp += rpen[r]\n    return [pp, rp, pp + rp]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: repeated row room charge 1',\n   [[['A', 'R2', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('regression variant: repeated row room charge 2',\n   [[['CHEM120', 'R1', 3], ['CHEM120', 'R2', 3], ['MATH101', 'R3', 2], ['MATH101H', 'R2', 1],\n     ['MATH101', 'R2', 1], ['MATH101', 'R2', 2]],\n    [10, 5, 5, 1], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [16, 16, 32]),\n  ('partial repair guard 3',\n   [[['PHYS110', 'R2', 0], ['MATH101H', 'R2', 1], ['MATH101', 'R2', 1], ['MATH101', 'R2', 3],\n     ['PHYS110', 'R2', 1], ['MATH101H', 'R1', 3], ['MATH101H', 'R3', 2]],\n    [10, 1, 5, 10], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [38, 11, 49]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['MATH101H', 'R1', 1], ['PHYS110', 'R2', 1], ['MATH101', 'R3', 3], ['PHYS110', 'R2', 1]], [0, 1, 5, 1],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [3, 10, 13]),\n  ('normal control 7',\n   [[['CHEM120', 'R3', 1], ['PHYS110', 'R1', 3], ['CHEM120', 'R1', 2], ['CHEM120', 'R3', 2],\n     ['MATH101H', 'R3', 3]],\n    [1, 5, 0, 10], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [25, 14, 39]),\n  ('normal control 8',\n   [[['MATH101', 'R3', 2], ['MATH101H', 'R1', 2], ['CHEM120', 'R1', 3], ['PHYS110', 'R2', 2],\n     ['PHYS110', 'R1', 3], ['PHYS110', 'R2', 2], ['CHEM120', 'R3', 2]],\n    [0, 1, 10, 0], {'R1': 0, 'R2': 1, 'R3': 2}],\n   [40, 5, 45])],\n [('regression: repeated row room charge 1',\n   [[['CHEM120', 'R2', 0], ['MATH101H', 'R1', 3], ['PHYS110', 'R2', 3], ['PHYS110', 'R2', 3],\n     ['PHYS110', 'R2', 3]],\n    [1, 1, 0, 1], {'R1': 0, 'R2': 1, 'R3': 2}],\n   [3, 2, 5]),\n  ('regression variant: repeated row room charge 2',\n   [[['MATH101', 'R2', 1], ['MATH101', 'R1', 0], ['CHEM120', 'R2', 3], ['MATH101H', 'R2', 0],\n     ['MATH101', 'R2', 0]],\n    [0, 1, 10, 5], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [6, 3, 9]),\n  ('partial repair guard 3',\n   [[['PHYS110', 'R3', 3], ['MATH101H', 'R1', 0], ['MATH101H', 'R3', 0], ['PHYS110', 'R3', 3]], [1, 1, 10, 0],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [1, 14, 15]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['PHYS110', 'R1', 0], ['MATH101H', 'R1', 0]], [0, 5, 0, 10], {'R1': 0, 'R2': 3, 'R3': 2}], [0, 0, 0]),\n  ('normal control 7',\n   [[['MATH101H', 'R1', 3], ['PHYS110', 'R2', 0], ['MATH101H', 'R3', 3], ['CHEM120', 'R1', 0],\n     ['CHEM120', 'R3', 0], ['MATH101', 'R3', 0], ['MATH101', 'R3', 0]],\n    [10, 1, 10, 5], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [35, 24, 59]),\n  ('normal control 8',\n   [[['MATH101H', 'R2', 3], ['CHEM120', 'R3', 3], ['CHEM120', 'R1', 3], ['CHEM120', 'R2', 2]], [5, 5, 1, 0],\n    {'R1': 0, 'R2': 3, 'R3': 2}],\n   [1, 8, 9])],\n [('regression: repeated row room charge 1',\n   [[['PHYS110', 'R3', 3], ['PHYS110', 'R3', 1], ['CHEM120', 'R2', 0]], [0, 0, 5, 0],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [0, 10, 10]),\n  ('regression variant: repeated row room charge 2',\n   [[['MATH101', 'R2', 1], ['PHYS110', 'R3', 1], ['MATH101H', 'R1', 2], ['PHYS110', 'R3', 3]], [1, 5, 10, 0],\n    {'R1': 0, 'R2': 1, 'R3': 7}],\n   [20, 8, 28]),\n  ('partial repair guard 3',\n   [[['MATH101', 'R1', 0], ['MATH101', 'R2', 3], ['MATH101', 'R3', 1], ['MATH101H', 'R1', 3],\n     ['PHYS110', 'R1', 0], ['MATH101', 'R1', 0], ['MATH101', 'R3', 1]],\n    [1, 0, 5, 10], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [22, 5, 27]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['CHEM120', 'R2', 0], ['MATH101H', 'R3', 2], ['CHEM120', 'R1', 3]], [0, 1, 1, 10],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [11, 10, 21]),\n  ('normal control 7',\n   [[['MATH101', 'R1', 3], ['MATH101H', 'R1', 0], ['MATH101H', 'R1', 0]], [0, 0, 1, 5],\n    {'R1': 0, 'R2': 1, 'R3': 2}],\n   [5, 0, 5]),\n  ('normal control 8',\n   [[['CHEM120', 'R1', 2], ['MATH101H', 'R3', 2], ['CHEM120', 'R1', 2]], [1, 10, 10, 5],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [20, 7, 27])],\n [('regression: repeated row room charge 1',\n   [[['PHYS110', 'R3', 2], ['CHEM120', 'R1', 2], ['MATH101', 'R1', 2], ['CHEM120', 'R3', 3],\n     ['CHEM120', 'R1', 3], ['CHEM120', 'R3', 3]],\n    [0, 0, 5, 1], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [16, 4, 20]),\n  ('regression variant: repeated row room charge 2',\n   [[['CHEM120', 'R3', 3], ['MATH101', 'R2', 0], ['PHYS110', 'R2', 1], ['CHEM120', 'R2', 3],\n     ['PHYS110', 'R3', 0], ['CHEM120', 'R2', 3], ['MATH101H', 'R1', 3]],\n    [1, 10, 10, 5], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [22, 13, 35]),\n  ('partial repair guard 3',\n   [[['CHEM120', 'R1', 0], ['MATH101H', 'R1', 3], ['MATH101', 'R1', 1], ['CHEM120', 'R2', 2],\n     ['MATH101', 'R2', 3], ['CHEM120', 'R1', 0], ['CHEM120', 'R2', 2]],\n    [0, 0, 10, 5], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [20, 6, 26]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['MATH101H', 'R1', 2], ['CHEM120', 'R1', 0], ['MATH101H', 'R1', 1], ['MATH101', 'R1', 3],\n     ['MATH101H', 'R1', 1]],\n    [1, 0, 10, 10], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [21, 0, 21]),\n  ('normal control 7',\n   [[['MATH101H', 'R3', 1], ['MATH101H', 'R1', 1]], [0, 5, 5, 5], {'R1': 0, 'R2': 3, 'R3': 2}], [5, 2, 7]),\n  ('normal control 8',\n   [[['CHEM120', 'R3', 3], ['MATH101H', 'R3', 0], ['MATH101H', 'R3', 0], ['MATH101', 'R2', 3],\n     ['MATH101', 'R3', 2]],\n    [0, 0, 0, 0], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [0, 22, 22])],\n [('regression: repeated row room charge 1',\n   [[['MATH101', 'R2', 1], ['MATH101', 'R3', 1], ['MATH101H', 'R2', 2], ['CHEM120', 'R2', 3],\n     ['MATH101H', 'R2', 1], ['MATH101', 'R2', 3]],\n    [5, 10, 0, 10], {'R1': 0, 'R2': 3, 'R3': 7}],\n   [40, 16, 56]),\n  ('regression variant: repeated row room charge 2',\n   [[['MATH101H', 'R1', 3], ['MATH101H', 'R3', 2], ['MATH101', 'R3', 0], ['MATH101H', 'R1', 3],\n     ['MATH101H', 'R3', 0], ['PHYS110', 'R2', 3]],\n    [5, 0, 10, 0], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [20, 7, 27]),\n  ('partial repair guard 3',\n   [[['MATH101', 'R2', 1], ['CHEM120', 'R2', 0], ['MATH101', 'R2', 1]], [10, 0, 5, 5],\n    {'R1': 0, 'R2': 3, 'R3': 7}],\n   [10, 6, 16]),\n  ('boundary control 4', [[['A', 'R1', 1], ['A', 'R2', 1]], [0, 5, 0, 0], {'R1': 0, 'R2': 3}], [5, 3, 8]),\n  ('boundary control 5', [[['A', 'R2', 0], ['B', 'R2', 0]], [2, 5, 0, 0], {'R1': 0, 'R2': 3}], [4, 6, 10]),\n  ('normal control 6',\n   [[['CHEM120', 'R2', 2], ['PHYS110', 'R1', 1], ['CHEM120', 'R1', 0], ['MATH101H', 'R2', 1],\n     ['MATH101', 'R2', 2], ['CHEM120', 'R3', 0], ['CHEM120', 'R3', 3], ['CHEM120', 'R2', 2]],\n    [1, 1, 10, 5], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [28, 10, 38]),\n  ('normal control 7',\n   [[['CHEM120', 'R3', 3], ['MATH101H', 'R3', 0], ['MATH101H', 'R3', 0], ['MATH101', 'R2', 3],\n     ['MATH101', 'R3', 2]],\n    [0, 0, 0, 0], {'R1': 0, 'R2': 1, 'R3': 7}],\n   [0, 22, 22]),\n  ('normal control 8',\n   [[['PHYS110', 'R1', 2], ['CHEM120', 'R2', 1], ['MATH101H', 'R3', 2], ['MATH101', 'R3', 0],\n     ['CHEM120', 'R2', 1], ['MATH101H', 'R3', 1]],\n    [10, 0, 10, 0], {'R1': 0, 'R2': 3, 'R3': 2}],\n   [30, 7, 37])]]\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 exam-timetabling rule set for a bounded model; it does not claim conformance with any institution's regulations or a benchmark specification, and it performs no search or optimisation. 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-exam-timetabling-constraints-period-and-room-penalties-repeated-row-room-charge","generated_at":"2026-09-29T14:52:06.476329+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Period and room preferences are soft costs that must not be multiplied by exam splitting.","repair":"Charge the room penalty once per distinct exam and room.","root_cause":"The room penalty is charged per row.","sha256":"94a105d31245022074a9bbaebc2db493dbabfcc36cb999b510fcad7a84fde4c6","title":"Repeated assignment row charges the room penalty again · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":38.424,"exit_code":1,"observations":[{"actual":[5,6,11],"check":"regression: repeated row room charge 1","expected":[5,3,8],"passed":false},{"actual":[16,19,35],"check":"regression variant: repeated row room charge 2","expected":[16,16,32],"passed":false},{"actual":[38,17,55],"check":"partial repair guard 3","expected":[38,11,49],"passed":false},{"actual":[5,3,8],"check":"boundary control 4","expected":[5,3,8],"passed":true},{"actual":[4,6,10],"check":"boundary control 5","expected":[4,6,10],"passed":true},{"actual":[3,13,16],"check":"normal control 6","expected":[3,10,13],"passed":false},{"actual":[25,21,46],"check":"normal control 7","expected":[25,14,39],"passed":false},{"actual":[40,6,46],"check":"normal control 8","expected":[40,5,45],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: repeated row room charge 1\", \"actual\": [5, 6, 11], \"expected\": [5, 3, 8], \"passed\": false}, {\"check\": \"regression variant: repeated row room charge 2\", \"actual\": [16, 19, 35], \"expected\": [16, 16, 32], \"passed\": false}, {\"check\": \"partial repair guard 3\", \"actual\": [38, 17, 55], \"expected\": [38, 11, 49], \"passed\": false}, {\"check\": \"boundary control 4\", \"actual\": [5, 3, 8], \"expected\": [5, 3, 8], \"passed\": true}, {\"check\": \"boundary control 5\", \"actual\": [4, 6, 10], \"expected\": [4, 6, 10], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [3, 13, 16], \"expected\": [3, 10, 13], \"passed\": false}, {\"check\": \"normal control 7\", \"actual\": [25, 21, 46], \"expected\": [25, 14, 39], \"passed\": false}, {\"check\": \"normal control 8\", \"actual\": [40, 6, 46], \"expected\": [40, 5, 45], \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":38.385,"exit_code":1,"observations":[{"actual":[5,6,11],"check":"regression: repeated row room charge 1","expected":[5,3,8],"passed":false},{"actual":[16,19,35],"check":"regression variant: repeated row room charge 2","expected":[16,16,32],"passed":false},{"actual":[38,17,55],"check":"partial repair guard 3","expected":[38,11,49],"passed":false},{"actual":[5,3,8],"check":"boundary control 4","expected":[5,3,8],"passed":true},{"actual":[4,6,10],"check":"boundary control 5","expected":[4,6,10],"passed":true},{"actual":[3,13,16],"check":"normal control 6","expected":[3,10,13],"passed":false},{"actual":[25,21,46],"check":"normal control 7","expected":[25,14,39],"passed":false},{"actual":[40,6,46],"check":"normal control 8","expected":[40,5,45],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: repeated row room charge 1\", \"actual\": [5, 6, 11], \"expected\": [5, 3, 8], \"passed\": false}, {\"check\": \"regression variant: repeated row room charge 2\", \"actual\": [16, 19, 35], \"expected\": [16, 16, 32], \"passed\": false}, {\"check\": \"partial repair guard 3\", \"actual\": [38, 17, 55], \"expected\": [38, 11, 49], \"passed\": false}, {\"check\": \"boundary control 4\", \"actual\": [5, 3, 8], \"expected\": [5, 3, 8], \"passed\": true}, {\"check\": \"boundary control 5\", \"actual\": [4, 6, 10], \"expected\": [4, 6, 10], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [3, 13, 16], \"expected\": [3, 10, 13], \"passed\": false}, {\"check\": \"normal control 7\", \"actual\": [25, 21, 46], \"expected\": [25, 14, 39], \"passed\": false}, {\"check\": \"normal control 8\", \"actual\": [40, 6, 46], \"expected\": [40, 5, 45], \"passed\": false}], \"passed\": false}\n"},"fixed":{"elapsed_ms":41.051,"exit_code":0,"observations":[{"actual":[5,3,8],"check":"regression: repeated row room charge 1","expected":[5,3,8],"passed":true},{"actual":[16,16,32],"check":"regression variant: repeated row room charge 2","expected":[16,16,32],"passed":true},{"actual":[38,11,49],"check":"partial repair guard 3","expected":[38,11,49],"passed":true},{"actual":[5,3,8],"check":"boundary control 4","expected":[5,3,8],"passed":true},{"actual":[4,6,10],"check":"boundary control 5","expected":[4,6,10],"passed":true},{"actual":[3,10,13],"check":"normal control 6","expected":[3,10,13],"passed":true},{"actual":[25,14,39],"check":"normal control 7","expected":[25,14,39],"passed":true},{"actual":[40,5,45],"check":"normal control 8","expected":[40,5,45],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: repeated row room charge 1\", \"actual\": [5, 3, 8], \"expected\": [5, 3, 8], \"passed\": true}, {\"check\": \"regression variant: repeated row room charge 2\", \"actual\": [16, 16, 32], \"expected\": [16, 16, 32], \"passed\": true}, {\"check\": \"partial repair guard 3\", \"actual\": [38, 11, 49], \"expected\": [38, 11, 49], \"passed\": true}, {\"check\": \"boundary control 4\", \"actual\": [5, 3, 8], \"expected\": [5, 3, 8], \"passed\": true}, {\"check\": \"boundary control 5\", \"actual\": [4, 6, 10], \"expected\": [4, 6, 10], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [3, 10, 13], \"expected\": [3, 10, 13], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [25, 14, 39], \"expected\": [25, 14, 39], \"passed\": true}, {\"check\": \"normal control 8\", \"actual\": [40, 5, 45], \"expected\": [40, 5, 45], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}