{"abstract":"Realized P&L follows LIFO instead of FIFO.","category":"Options payoff and settlement","checks":8,"contract":"Inputs trades [side B/S, contracts, premium], multiplier and fee per contract. Positions may be long or short. Each trade first closes opposite-direction lots oldest first; realized P&L per matched contract is (close - open) for long lots and (open - close) for short lots, times the multiplier. Any remainder opens a new lot in the trade direction. Fees = contracts traded * fee. Work in cents; return [net position, realized, fees].","contract_signature":"trades, multiplier, fee","evaluation_group":"w2-options_payoff_and_settlement-fifo-option-pnl","failed_approach":"Matching the oldest lot but popping from the newest end discards an unmatched lot.","family":"w2-options_payoff_and_settlement-fifo-option-pnl-lot-matching-order","id":"FA-61666","implementations":{"attempt":{"sha256":"37c2e276fa43a9117fd886e8becd722f9083dbe09a4d6a615e4e96d6ea9ae1ba","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport collections\nN = 1\nobservations = []\ndef solve(trades, multiplier, fee):\n    lots = collections.deque()\n    realized = 0\n    fees = 0\n    fee_c = round(fee * 100)\n    for side, qty, price in trades:\n        p = round(price * 100)\n        sgn = 1 if side == 'B' else -1\n        fees += qty * fee_c\n        left = qty\n        while left and lots and (lots[0][0] > 0) != (sgn > 0):\n            lot = lots[0]\n            m = min(left, abs(lot[0]))\n            direction = 1 if lot[0] > 0 else -1\n            realized += (p - lot[1]) * m * direction\n            lot[0] -= m * direction\n            left -= m\n            if lot[0] == 0:\n                lots.pop()\n        if left:\n            lots.append([sgn * left, p])\n    pos = sum(l[0] for l in lots)\n    return [pos, realized * multiplier / 100, fees / 100]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression lot matching order 1', [[['B', 5, 3.5], ['B', 2, 1.2], ['S', 2, 0.85], ['S', 2, 2.05], ['B', 3, 2.05]], 100, 1.0], [6, -820.0, 14.0]], ['regression lot matching order 2', [[['B', 2, 0.05], ['B', 3, 0.05], ['B', 2, 4.1], ['B', 3, 2.05], ['S', 5, 2.05], ['S', 2, 1.2]], 10, 0.0], [3, 42.0, 0.0]], ['partial repair probe 1', [[['S', 3, 0.85], ['B', 5, 0.05], ['S', 1, 0.85], ['B', 1, 0.05], ['S', 5, 0.05], ['B', 1, 4.1]], 100, 0.65], [-2, -85.0, 10.4]], ['partial repair probe 2', [[['S', 5, 1.2], ['B', 3, 0.85], ['S', 3, 0.85], ['B', 1, 2.05], ['B', 2, 1.2], ['B', 5, 1.2]], 10, 1.0], [3, -8.5, 19.0]], ['boundary control 1', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['boundary control 2', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['normal control 1', [[['S', 5, 1.2], ['S', 2, 1.2], ['S', 2, 3.5]], 100, 0.0], [-9, 0.0, 0.0]], ['normal control 2', [[['B', 5, 0.85], ['S', 1, 0.05]], 100, 1.0], [4, -80.0, 6.0]]], [['regression lot matching order 1', [[['S', 3, 4.1], ['B', 2, 0.85], ['S', 2, 1.2], ['B', 1, 2.05], ['S', 3, 3.5]], 10, 1.0], [-5, 85.5, 11.0]], ['regression lot matching order 2', [[['B', 2, 0.85], ['S', 5, 0.05], ['S', 5, 0.85], ['B', 1, 1.2]], 10, 0.0], [-7, -27.5, 0.0]], ['partial repair probe 1', [[['S', 3, 4.1], ['B', 1, 3.5], ['S', 2, 4.1], ['B', 5, 4.1], ['B', 3, 1.2], ['S', 5, 0.85]], 10, 1.0], [-1, -37.0, 19.0]], ['partial repair probe 2', [[['S', 1, 3.5], ['S', 1, 0.05], ['S', 2, 3.5], ['B', 5, 4.1], ['S', 1, 1.2]], 100, 1.0], [0, -875.0, 10.0]], ['boundary control 1', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['boundary control 2', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['normal control 1', [[['B', 3, 2.05], ['B', 3, 2.05], ['B', 3, 2.05], ['B', 2, 3.5]], 10, 0.65], [11, 0.0, 7.15]], ['normal control 2', [[['S', 2, 3.5], ['B', 3, 0.05], ['S', 1, 1.2]], 100, 0.65], [0, 805.0, 3.9]]], [['regression lot matching order 1', [[['S', 5, 4.1], ['S', 2, 3.5], ['B', 2, 2.05]], 10, 0.65], [-5, 41.0, 5.85]], ['regression lot matching order 2', [[['B', 1, 0.05], ['B', 3, 3.5], ['S', 5, 1.2], ['S', 2, 0.05], ['B', 2, 0.05]], 10, 0.0], [-1, -46.0, 0.0]], ['partial repair probe 1', [[['S', 1, 3.5], ['S', 5, 2.05], ['B', 1, 4.1], ['S', 1, 3.5], ['B', 1, 0.05]], 100, 0.65], [-5, 140.0, 5.85]], ['partial repair probe 2', [[['B', 2, 3.5], ['B', 3, 2.05], ['S', 1, 1.2], ['S', 5, 1.2], ['S', 3, 0.05]], 100, 1.0], [-4, -715.0, 14.0]], ['boundary control 1', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['boundary control 2', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['normal control 1', [[['B', 1, 2.05], ['S', 5, 3.5]], 100, 1.0], [-4, 145.0, 6.0]], ['normal control 2', [[['S', 1, 1.2], ['B', 2, 3.5]], 10, 0.0], [1, -23.0, 0.0]]], [['regression lot matching order 1', [[['S', 2, 4.1], ['S', 5, 1.2], ['B', 1, 0.05], ['B', 3, 1.2], ['S', 5, 0.05], ['B', 5, 4.1]], 100, 0.65], [-3, -985.0, 13.65]], ['regression lot matching order 2', [[['B', 2, 0.05], ['B', 2, 2.05], ['B', 2, 0.85], ['S', 5, 2.05]], 100, 0.65], [1, 520.0, 7.15]], ['partial repair probe 1', [[['S', 2, 0.85], ['S', 1, 1.2], ['B', 3, 3.5]], 10, 0.0], [0, -76.0, 0.0]], ['partial repair probe 2', [[['S', 2, 1.2], ['B', 3, 1.2], ['B', 1, 4.1], ['B', 2, 1.2], ['S', 1, 4.1], ['B', 5, 4.1]], 100, 1.0], [8, 290.0, 14.0]], ['boundary control 1', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['boundary control 2', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['normal control 1', [[['B', 3, 4.1], ['S', 3, 3.5], ['S', 5, 0.05]], 10, 1.0], [-5, -18.0, 11.0]], ['normal control 2', [[['B', 5, 0.05], ['B', 2, 2.05], ['B', 2, 1.2], ['B', 2, 3.5], ['B', 1, 4.1]], 10, 1.0], [12, 0.0, 12.0]]], [['regression lot matching order 1', [[['B', 3, 1.2], ['B', 5, 4.1], ['S', 5, 1.2], ['B', 5, 4.1], ['B', 1, 3.5], ['S', 3, 1.2]], 100, 0.0], [6, -1450.0, 0.0]], ['regression lot matching order 2', [[['S', 5, 2.05], ['B', 1, 4.1], ['B', 2, 4.1], ['B', 3, 1.2], ['B', 1, 4.1], ['S', 1, 0.85]], 100, 0.65], [1, -480.0, 8.45]], ['partial repair probe 1', [[['B', 1, 0.85], ['B', 1, 3.5], ['S', 3, 4.1], ['B', 3, 3.5]], 100, 0.0], [2, 445.0, 0.0]], ['partial repair probe 2', [[['S', 3, 0.05], ['B', 5, 0.85], ['S', 3, 2.05], ['S', 2, 1.2], ['B', 5, 0.85], ['B', 2, 4.1]], 100, 1.0], [4, 190.0, 20.0]], ['boundary control 1', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['boundary control 2', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['normal control 1', [[['S', 5, 4.1]], 10, 0.0], [-5, 0.0, 0.0]], ['normal control 2', [[['S', 1, 3.5], ['B', 5, 2.05]], 100, 1.0], [4, 145.0, 6.0]]]]\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":"6fd11bc45a58f79ad14cb2f94feaaa36e220dc6aa870214321e5c799a8394732","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport collections\nN = 1\nobservations = []\ndef solve(trades, multiplier, fee):\n    lots = collections.deque()\n    realized = 0\n    fees = 0\n    fee_c = round(fee * 100)\n    for side, qty, price in trades:\n        p = round(price * 100)\n        sgn = 1 if side == 'B' else -1\n        fees += qty * fee_c\n        left = qty\n        while left and lots and (lots[0][0] > 0) != (sgn > 0):\n            lot = lots[-1]\n            m = min(left, abs(lot[0]))\n            direction = 1 if lot[0] > 0 else -1\n            realized += (p - lot[1]) * m * direction\n            lot[0] -= m * direction\n            left -= m\n            if lot[0] == 0:\n                lots.pop()\n        if left:\n            lots.append([sgn * left, p])\n    pos = sum(l[0] for l in lots)\n    return [pos, realized * multiplier / 100, fees / 100]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression lot matching order 1', [[['B', 5, 3.5], ['B', 2, 1.2], ['S', 2, 0.85], ['S', 2, 2.05], ['B', 3, 2.05]], 100, 1.0], [6, -820.0, 14.0]], ['regression lot matching order 2', [[['B', 2, 0.05], ['B', 3, 0.05], ['B', 2, 4.1], ['B', 3, 2.05], ['S', 5, 2.05], ['S', 2, 1.2]], 10, 0.0], [3, 42.0, 0.0]], ['partial repair probe 1', [[['S', 3, 0.85], ['B', 5, 0.05], ['S', 1, 0.85], ['B', 1, 0.05], ['S', 5, 0.05], ['B', 1, 4.1]], 100, 0.65], [-2, -85.0, 10.4]], ['partial repair probe 2', [[['S', 5, 1.2], ['B', 3, 0.85], ['S', 3, 0.85], ['B', 1, 2.05], ['B', 2, 1.2], ['B', 5, 1.2]], 10, 1.0], [3, -8.5, 19.0]], ['boundary control 1', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['boundary control 2', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['normal control 1', [[['S', 5, 1.2], ['S', 2, 1.2], ['S', 2, 3.5]], 100, 0.0], [-9, 0.0, 0.0]], ['normal control 2', [[['B', 5, 0.85], ['S', 1, 0.05]], 100, 1.0], [4, -80.0, 6.0]]], [['regression lot matching order 1', [[['S', 3, 4.1], ['B', 2, 0.85], ['S', 2, 1.2], ['B', 1, 2.05], ['S', 3, 3.5]], 10, 1.0], [-5, 85.5, 11.0]], ['regression lot matching order 2', [[['B', 2, 0.85], ['S', 5, 0.05], ['S', 5, 0.85], ['B', 1, 1.2]], 10, 0.0], [-7, -27.5, 0.0]], ['partial repair probe 1', [[['S', 3, 4.1], ['B', 1, 3.5], ['S', 2, 4.1], ['B', 5, 4.1], ['B', 3, 1.2], ['S', 5, 0.85]], 10, 1.0], [-1, -37.0, 19.0]], ['partial repair probe 2', [[['S', 1, 3.5], ['S', 1, 0.05], ['S', 2, 3.5], ['B', 5, 4.1], ['S', 1, 1.2]], 100, 1.0], [0, -875.0, 10.0]], ['boundary control 1', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['boundary control 2', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['normal control 1', [[['B', 3, 2.05], ['B', 3, 2.05], ['B', 3, 2.05], ['B', 2, 3.5]], 10, 0.65], [11, 0.0, 7.15]], ['normal control 2', [[['S', 2, 3.5], ['B', 3, 0.05], ['S', 1, 1.2]], 100, 0.65], [0, 805.0, 3.9]]], [['regression lot matching order 1', [[['S', 5, 4.1], ['S', 2, 3.5], ['B', 2, 2.05]], 10, 0.65], [-5, 41.0, 5.85]], ['regression lot matching order 2', [[['B', 1, 0.05], ['B', 3, 3.5], ['S', 5, 1.2], ['S', 2, 0.05], ['B', 2, 0.05]], 10, 0.0], [-1, -46.0, 0.0]], ['partial repair probe 1', [[['S', 1, 3.5], ['S', 5, 2.05], ['B', 1, 4.1], ['S', 1, 3.5], ['B', 1, 0.05]], 100, 0.65], [-5, 140.0, 5.85]], ['partial repair probe 2', [[['B', 2, 3.5], ['B', 3, 2.05], ['S', 1, 1.2], ['S', 5, 1.2], ['S', 3, 0.05]], 100, 1.0], [-4, -715.0, 14.0]], ['boundary control 1', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['boundary control 2', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['normal control 1', [[['B', 1, 2.05], ['S', 5, 3.5]], 100, 1.0], [-4, 145.0, 6.0]], ['normal control 2', [[['S', 1, 1.2], ['B', 2, 3.5]], 10, 0.0], [1, -23.0, 0.0]]], [['regression lot matching order 1', [[['S', 2, 4.1], ['S', 5, 1.2], ['B', 1, 0.05], ['B', 3, 1.2], ['S', 5, 0.05], ['B', 5, 4.1]], 100, 0.65], [-3, -985.0, 13.65]], ['regression lot matching order 2', [[['B', 2, 0.05], ['B', 2, 2.05], ['B', 2, 0.85], ['S', 5, 2.05]], 100, 0.65], [1, 520.0, 7.15]], ['partial repair probe 1', [[['S', 2, 0.85], ['S', 1, 1.2], ['B', 3, 3.5]], 10, 0.0], [0, -76.0, 0.0]], ['partial repair probe 2', [[['S', 2, 1.2], ['B', 3, 1.2], ['B', 1, 4.1], ['B', 2, 1.2], ['S', 1, 4.1], ['B', 5, 4.1]], 100, 1.0], [8, 290.0, 14.0]], ['boundary control 1', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['boundary control 2', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['normal control 1', [[['B', 3, 4.1], ['S', 3, 3.5], ['S', 5, 0.05]], 10, 1.0], [-5, -18.0, 11.0]], ['normal control 2', [[['B', 5, 0.05], ['B', 2, 2.05], ['B', 2, 1.2], ['B', 2, 3.5], ['B', 1, 4.1]], 10, 1.0], [12, 0.0, 12.0]]], [['regression lot matching order 1', [[['B', 3, 1.2], ['B', 5, 4.1], ['S', 5, 1.2], ['B', 5, 4.1], ['B', 1, 3.5], ['S', 3, 1.2]], 100, 0.0], [6, -1450.0, 0.0]], ['regression lot matching order 2', [[['S', 5, 2.05], ['B', 1, 4.1], ['B', 2, 4.1], ['B', 3, 1.2], ['B', 1, 4.1], ['S', 1, 0.85]], 100, 0.65], [1, -480.0, 8.45]], ['partial repair probe 1', [[['B', 1, 0.85], ['B', 1, 3.5], ['S', 3, 4.1], ['B', 3, 3.5]], 100, 0.0], [2, 445.0, 0.0]], ['partial repair probe 2', [[['S', 3, 0.05], ['B', 5, 0.85], ['S', 3, 2.05], ['S', 2, 1.2], ['B', 5, 0.85], ['B', 2, 4.1]], 100, 1.0], [4, 190.0, 20.0]], ['boundary control 1', [[['S', 1, 2.0], ['B', 1, 1.0]], 100, 1.0], [0, 100.0, 2.0]], ['boundary control 2', [[['B', 1, 1.0], ['S', 2, 1.5]], 100, 0.0], [-1, 50.0, 0.0]], ['normal control 1', [[['S', 5, 4.1]], 10, 0.0], [-5, 0.0, 0.0]], ['normal control 2', [[['S', 1, 3.5], ['B', 5, 2.05]], 100, 1.0], [4, 145.0, 6.0]]]]\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":"A deterministic toy contract stated explicitly in the contract field; no claim of conformance to any exchange or clearing rulebook. 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-options_payoff_and_settlement-fifo-option-pnl-lot-matching-order","generated_at":"2026-09-29T14:46:57.407141+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Option expiry, exercise and settlement engines move cash and shares; a wrong branch misstates obligations.","root_cause":"The matcher reads and removes lots from the right end.","sha256":"a06b2c0ebe1d996ef8710e8497af6c1a30e2899ebb29900a5b1fc2bcd64c3ade","title":"FIFO realized P&L for option trades: closing trades match the newest lot · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":41.868,"exit_code":1,"observations":[{"actual":[6,-820.0,14.0],"check":"regression lot matching order 1","expected":[6,-820.0,14.0],"passed":true},{"actual":[0,40.0,0.0],"check":"regression lot matching order 2","expected":[3,42.0,0.0],"passed":false},{"actual":[1,320.0,10.4],"check":"partial repair probe 1","expected":[-2,-85.0,10.4],"passed":false},{"actual":[6,2.0,19.0],"check":"partial repair probe 2","expected":[3,-8.5,19.0],"passed":false},{"actual":[0,100.0,2.0],"check":"boundary control 1","expected":[0,100.0,2.0],"passed":true},{"actual":[-1,50.0,0.0],"check":"boundary control 2","expected":[-1,50.0,0.0],"passed":true},{"actual":[-9,0.0,0.0],"check":"normal control 1","expected":[-9,0.0,0.0],"passed":true},{"actual":[4,-80.0,6.0],"check":"normal control 2","expected":[4,-80.0,6.0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression lot matching order 1\", \"actual\": [6, -820.0, 14.0], \"expected\": [6, -820.0, 14.0], \"passed\": true}, {\"check\": \"regression lot matching order 2\", \"actual\": [0, 40.0, 0.0], \"expected\": [3, 42.0, 0.0], \"passed\": false}, {\"check\": \"partial repair probe 1\", \"actual\": [1, 320.0, 10.4], \"expected\": [-2, -85.0, 10.4], \"passed\": false}, {\"check\": \"partial repair probe 2\", \"actual\": [6, 2.0, 19.0], \"expected\": [3, -8.5, 19.0], \"passed\": false}, {\"check\": \"boundary control 1\", \"actual\": [0, 100.0, 2.0], \"expected\": [0, 100.0, 2.0], \"passed\": true}, {\"check\": \"boundary control 2\", \"actual\": [-1, 50.0, 0.0], \"expected\": [-1, 50.0, 0.0], \"passed\": true}, {\"check\": \"normal control 1\", \"actual\": [-9, 0.0, 0.0], \"expected\": [-9, 0.0, 0.0], \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": [4, -80.0, 6.0], \"expected\": [4, -80.0, 6.0], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.783,"exit_code":1,"observations":[{"actual":[6,-360.0,14.0],"check":"regression lot matching order 1","expected":[6,-820.0,14.0],"passed":false},{"actual":[3,-18.0,0.0],"check":"regression lot matching order 2","expected":[3,42.0,0.0],"passed":false},{"actual":[-2,-85.0,10.4],"check":"partial repair probe 1","expected":[-2,-85.0,10.4],"passed":true},{"actual":[3,-8.5,19.0],"check":"partial repair probe 2","expected":[3,-8.5,19.0],"passed":true},{"actual":[0,100.0,2.0],"check":"boundary control 1","expected":[0,100.0,2.0],"passed":true},{"actual":[-1,50.0,0.0],"check":"boundary control 2","expected":[-1,50.0,0.0],"passed":true},{"actual":[-9,0.0,0.0],"check":"normal control 1","expected":[-9,0.0,0.0],"passed":true},{"actual":[4,-80.0,6.0],"check":"normal control 2","expected":[4,-80.0,6.0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression lot matching order 1\", \"actual\": [6, -360.0, 14.0], \"expected\": [6, -820.0, 14.0], \"passed\": false}, {\"check\": \"regression lot matching order 2\", \"actual\": [3, -18.0, 0.0], \"expected\": [3, 42.0, 0.0], \"passed\": false}, {\"check\": \"partial repair probe 1\", \"actual\": [-2, -85.0, 10.4], \"expected\": [-2, -85.0, 10.4], \"passed\": true}, {\"check\": \"partial repair probe 2\", \"actual\": [3, -8.5, 19.0], \"expected\": [3, -8.5, 19.0], \"passed\": true}, {\"check\": \"boundary control 1\", \"actual\": [0, 100.0, 2.0], \"expected\": [0, 100.0, 2.0], \"passed\": true}, {\"check\": \"boundary control 2\", \"actual\": [-1, 50.0, 0.0], \"expected\": [-1, 50.0, 0.0], \"passed\": true}, {\"check\": \"normal control 1\", \"actual\": [-9, 0.0, 0.0], \"expected\": [-9, 0.0, 0.0], \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": [4, -80.0, 6.0], \"expected\": [4, -80.0, 6.0], \"passed\": true}], \"passed\": false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}