{"abstract":"Clean codewords report nonzero syndromes and get corrupted.","category":"Error-correcting codes","checks":8,"contract":"Single-error-correcting Hamming decoder for a full or shortened code of length n >= 3 (bits 0/1, else None). Positions are 1-based; parity bits sit at powers of two. The syndrome is the XOR of the positions holding a 1. A syndrome above n points outside the shortened code and is \"uncorrectable\" (data None); otherwise the bit at the syndrome position is flipped. Return [status, data bits from non-power-of-two positions, syndrome].","contract_signature":"r","evaluation_group":"w2-error_correcting_codes-hamming-sec","failed_approach":"Accumulating with bitwise OR cannot cancel paired contributions either.","family":"w2-error_correcting_codes-hamming-sec-syndrome-accumulation","id":"FA-71846","implementations":{"attempt":{"sha256":"0fdcd95189ce63f5f1e183db0cc76040741bafee42eab093c97f72f3ec7e1a4a","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(r):\n    n = len(r)\n    if n < 3 or any(b not in (0, 1) for b in r):\n        return None\n    s = 0\n    for pos in range(1, n + 1):\n        if r[pos - 1]:\n            s |= pos\n    if s > n:\n        return ['uncorrectable', None, s]\n    c = list(r)\n    if s:\n        c[s - 1] ^= 1\n    data = [c[pos - 1] for pos in range(1, n + 1) if pos & (pos - 1)]\n    return ['corrected' if s else 'clean', data, s]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression [[0, 1, 1, 0, 1, 1, 1]]', [[0, 1, 1, 0, 1, 1, 1]], ['corrected', [1, 0, 1, 1], 5]], ['regression [[0, 1, 1, 0, 0, 1, 1]]', [[0, 1, 1, 0, 0, 1, 1]], ['clean', [1, 0, 1, 1], 0]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None], ['control [[1, 0, 0, 1, 0, 1, 0]]', [[1, 0, 0, 1, 0, 1, 0]], ['corrected', [1, 0, 1, 0], 3]]], [['regression [[1, 1, 0, 1, 0, 1, 0]]', [[1, 1, 0, 1, 0, 1, 0]], ['corrected', [0, 0, 1, 0], 1]], ['regression [[0, 1, 0, 1, 0, 1, 1]]', [[0, 1, 0, 1, 0, 1, 1]], ['corrected', [0, 0, 1, 0], 7]], ['partial-repair [[1, 0, 0, 1, 0, 1, 0]]', [[1, 0, 0, 1, 0, 1, 0]], ['corrected', [1, 0, 1, 0], 3]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None]], [['regression [[0, 1, 1, 1, 0, 1, 0]]', [[0, 1, 1, 1, 0, 1, 0]], ['corrected', [0, 0, 1, 0], 3]], ['regression [[1, 0, 0, 0, 0, 1, 1]]', [[1, 0, 0, 0, 0, 1, 1]], ['clean', [0, 0, 1, 1], 0]], ['partial-repair [[1, 0, 0, 0, 1, 1, 1]]', [[1, 0, 0, 0, 1, 1, 1]], ['corrected', [0, 0, 1, 1], 5]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None]], [['regression [[0, 1, 0, 0, 0, 1, 1]]', [[0, 1, 0, 0, 0, 1, 1]], ['corrected', [1, 0, 1, 1], 3]], ['regression [[1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0]]', [[1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0]], ['clean', [0, 1, 1, 0, 1, 1, 1, 0], 0]], ['partial-repair [[1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0]]', [[1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0]], ['corrected', [0, 1, 1, 0, 1, 1, 1, 0], 4]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None]], [['regression [[1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1]]', [[1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1]], ['corrected', [0, 1, 1, 0, 1, 1, 1, 0], 12]], ['regression [[1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0]]', [[1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0]], ['clean', [0, 1, 0, 0, 1, 1, 1, 0], 0]], ['partial-repair [[1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0]]', [[1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0]], ['corrected', [0, 1, 0, 0, 1, 1, 1, 0], 8]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None]]]\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":"44bbb7be4e99f51cf54725e3f26d0be68440b512891a04774feaf2a4b7f20c3d","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(r):\n    n = len(r)\n    if n < 3 or any(b not in (0, 1) for b in r):\n        return None\n    s = 0\n    for pos in range(1, n + 1):\n        if r[pos - 1]:\n            s += pos\n    if s > n:\n        return ['uncorrectable', None, s]\n    c = list(r)\n    if s:\n        c[s - 1] ^= 1\n    data = [c[pos - 1] for pos in range(1, n + 1) if pos & (pos - 1)]\n    return ['corrected' if s else 'clean', data, s]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression [[0, 1, 1, 0, 1, 1, 1]]', [[0, 1, 1, 0, 1, 1, 1]], ['corrected', [1, 0, 1, 1], 5]], ['regression [[0, 1, 1, 0, 0, 1, 1]]', [[0, 1, 1, 0, 0, 1, 1]], ['clean', [1, 0, 1, 1], 0]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None], ['control [[1, 0, 0, 1, 0, 1, 0]]', [[1, 0, 0, 1, 0, 1, 0]], ['corrected', [1, 0, 1, 0], 3]]], [['regression [[1, 1, 0, 1, 0, 1, 0]]', [[1, 1, 0, 1, 0, 1, 0]], ['corrected', [0, 0, 1, 0], 1]], ['regression [[0, 1, 0, 1, 0, 1, 1]]', [[0, 1, 0, 1, 0, 1, 1]], ['corrected', [0, 0, 1, 0], 7]], ['partial-repair [[1, 0, 0, 1, 0, 1, 0]]', [[1, 0, 0, 1, 0, 1, 0]], ['corrected', [1, 0, 1, 0], 3]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None]], [['regression [[0, 1, 1, 1, 0, 1, 0]]', [[0, 1, 1, 1, 0, 1, 0]], ['corrected', [0, 0, 1, 0], 3]], ['regression [[1, 0, 0, 0, 0, 1, 1]]', [[1, 0, 0, 0, 0, 1, 1]], ['clean', [0, 0, 1, 1], 0]], ['partial-repair [[1, 0, 0, 0, 1, 1, 1]]', [[1, 0, 0, 0, 1, 1, 1]], ['corrected', [0, 0, 1, 1], 5]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None]], [['regression [[0, 1, 0, 0, 0, 1, 1]]', [[0, 1, 0, 0, 0, 1, 1]], ['corrected', [1, 0, 1, 1], 3]], ['regression [[1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0]]', [[1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0]], ['clean', [0, 1, 1, 0, 1, 1, 1, 0], 0]], ['partial-repair [[1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0]]', [[1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0]], ['corrected', [0, 1, 1, 0, 1, 1, 1, 0], 4]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None]], [['regression [[1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1]]', [[1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1]], ['corrected', [0, 1, 1, 0, 1, 1, 1, 0], 12]], ['regression [[1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0]]', [[1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0]], ['clean', [0, 1, 0, 0, 1, 1, 1, 0], 0]], ['partial-repair [[1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0]]', [[1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0]], ['corrected', [0, 1, 0, 0, 1, 1, 1, 0], 8]], ['control [[1, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 1, 1], 7]], ['control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]', [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]], ['corrected', [1, 0, 0, 1, 0, 0], 7]], ['control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]', [[1, 0, 0, 0, 0, 0, 0, 1, 0]], ['corrected', [0, 0, 0, 0, 1], 9]], ['control [[0, 1]]', [[0, 1]], None], ['control [[0, 1, 2, 0, 0, 0, 0]]', [[0, 1, 2, 0, 0, 0, 0]], None]]]\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, bounded teaching model of the named code under the stated contract; not a production codec. 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-error_correcting_codes-hamming-sec-syndrome-accumulation","generated_at":"2026-09-29T14:48:33.287327+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Memory and link controllers use (shortened) Hamming codes to repair single-bit upsets.","root_cause":"Positions are accumulated with += instead of XOR.","sha256":"7b349dcbf9b6c04ae5f71ecce4ee6d2345461538d958acbe313cb6225e7d4eb7","title":"Hamming syndrome adds positions arithmetically · 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":39.981,"exit_code":1,"observations":[{"actual":["corrected",[1,1,1,0],7],"check":"regression [[0, 1, 1, 0, 1, 1, 1]]","expected":["corrected",[1,0,1,1],5],"passed":false},{"actual":["corrected",[1,0,1,0],7],"check":"regression [[0, 1, 1, 0, 0, 1, 1]]","expected":["clean",[1,0,1,1],0],"passed":false},{"actual":["corrected",[0,0,1,1],7],"check":"control [[1, 0, 0, 0, 0, 1, 0]]","expected":["corrected",[0,0,1,1],7],"passed":true},{"actual":["corrected",[1,0,0,1,0,0],7],"check":"control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]","expected":["corrected",[1,0,0,1,0,0],7],"passed":true},{"actual":["corrected",[0,0,0,0,1],9],"check":"control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]","expected":["corrected",[0,0,0,0,1],9],"passed":true},{"actual":null,"check":"control [[0, 1]]","expected":null,"passed":true},{"actual":null,"check":"control [[0, 1, 2, 0, 0, 0, 0]]","expected":null,"passed":true},{"actual":["corrected",[0,0,1,1],7],"check":"control [[1, 0, 0, 1, 0, 1, 0]]","expected":["corrected",[1,0,1,0],3],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression [[0, 1, 1, 0, 1, 1, 1]]\", \"actual\": [\"corrected\", [1, 1, 1, 0], 7], \"expected\": [\"corrected\", [1, 0, 1, 1], 5], \"passed\": false}, {\"check\": \"regression [[0, 1, 1, 0, 0, 1, 1]]\", \"actual\": [\"corrected\", [1, 0, 1, 0], 7], \"expected\": [\"clean\", [1, 0, 1, 1], 0], \"passed\": false}, {\"check\": \"control [[1, 0, 0, 0, 0, 1, 0]]\", \"actual\": [\"corrected\", [0, 0, 1, 1], 7], \"expected\": [\"corrected\", [0, 0, 1, 1], 7], \"passed\": true}, {\"check\": \"control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]\", \"actual\": [\"corrected\", [1, 0, 0, 1, 0, 0], 7], \"expected\": [\"corrected\", [1, 0, 0, 1, 0, 0], 7], \"passed\": true}, {\"check\": \"control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]\", \"actual\": [\"corrected\", [0, 0, 0, 0, 1], 9], \"expected\": [\"corrected\", [0, 0, 0, 0, 1], 9], \"passed\": true}, {\"check\": \"control [[0, 1]]\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control [[0, 1, 2, 0, 0, 0, 0]]\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control [[1, 0, 0, 1, 0, 1, 0]]\", \"actual\": [\"corrected\", [0, 0, 1, 1], 7], \"expected\": [\"corrected\", [1, 0, 1, 0], 3], \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":40.361,"exit_code":1,"observations":[{"actual":["uncorrectable",null,23],"check":"regression [[0, 1, 1, 0, 1, 1, 1]]","expected":["corrected",[1,0,1,1],5],"passed":false},{"actual":["uncorrectable",null,18],"check":"regression [[0, 1, 1, 0, 0, 1, 1]]","expected":["clean",[1,0,1,1],0],"passed":false},{"actual":["corrected",[0,0,1,1],7],"check":"control [[1, 0, 0, 0, 0, 1, 0]]","expected":["corrected",[0,0,1,1],7],"passed":true},{"actual":["corrected",[1,0,0,1,0,0],7],"check":"control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]","expected":["corrected",[1,0,0,1,0,0],7],"passed":true},{"actual":["corrected",[0,0,0,0,1],9],"check":"control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]","expected":["corrected",[0,0,0,0,1],9],"passed":true},{"actual":null,"check":"control [[0, 1]]","expected":null,"passed":true},{"actual":null,"check":"control [[0, 1, 2, 0, 0, 0, 0]]","expected":null,"passed":true},{"actual":["uncorrectable",null,11],"check":"control [[1, 0, 0, 1, 0, 1, 0]]","expected":["corrected",[1,0,1,0],3],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression [[0, 1, 1, 0, 1, 1, 1]]\", \"actual\": [\"uncorrectable\", null, 23], \"expected\": [\"corrected\", [1, 0, 1, 1], 5], \"passed\": false}, {\"check\": \"regression [[0, 1, 1, 0, 0, 1, 1]]\", \"actual\": [\"uncorrectable\", null, 18], \"expected\": [\"clean\", [1, 0, 1, 1], 0], \"passed\": false}, {\"check\": \"control [[1, 0, 0, 0, 0, 1, 0]]\", \"actual\": [\"corrected\", [0, 0, 1, 1], 7], \"expected\": [\"corrected\", [0, 0, 1, 1], 7], \"passed\": true}, {\"check\": \"control [[0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]\", \"actual\": [\"corrected\", [1, 0, 0, 1, 0, 0], 7], \"expected\": [\"corrected\", [1, 0, 0, 1, 0, 0], 7], \"passed\": true}, {\"check\": \"control [[1, 0, 0, 0, 0, 0, 0, 1, 0]]\", \"actual\": [\"corrected\", [0, 0, 0, 0, 1], 9], \"expected\": [\"corrected\", [0, 0, 0, 0, 1], 9], \"passed\": true}, {\"check\": \"control [[0, 1]]\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control [[0, 1, 2, 0, 0, 0, 0]]\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control [[1, 0, 0, 1, 0, 1, 0]]\", \"actual\": [\"uncorrectable\", null, 11], \"expected\": [\"corrected\", [1, 0, 1, 0], 3], \"passed\": false}], \"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."}}