{"abstract":"The amount due differs by a cent from the printed charge minus the printed credit.","category":"Subscription proration billing","checks":8,"contract":"Input {old, new prices per period, start, end (exclusive), change} dates with start <= change < end. Remaining days = end - change; period days = end - start. Credit = old*remaining/period and charge = new*remaining/period, each rounded half-up. Net = charge - credit; a positive net is due now, a negative net becomes a credit balance. Return [credit, charge, amount_due, credit_balance].","contract_signature":"x","evaluation_group":"w2-subscription-proration-daily-plan-change","failed_approach":"The attempt still derives the net from the price difference and floors it, drifting further on downgrades.","family":"w2-subscription-proration-daily-plan-change-net-rounding-composition","id":"FA-59351","implementations":{"attempt":{"sha256":"23644e052b0ac8b4397892746df368d27e03a0dcedd99db1a972100b4c0f1ede","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport datetime\nimport calendar\nN = 1\nobservations = []\ndef solve(x):\n    s = datetime.date(*x['start'])\n    e = datetime.date(*x['end'])\n    c = datetime.date(*x['change'])\n    total = (e - s).days\n    remaining = (e - c).days\n    def pr(p):\n        return (p * remaining * 2 + total) // (2 * total)\n    credit = pr(x['old'])\n    charge = pr(x['new'])\n    net = (x['new'] - x['old']) * remaining // total\n    return [credit, charge, max(0, net), max(0, -net)]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'old': 6384, 'new': 4900, 'start': [2023, 3, 23], 'end': [2023, 4, 23], 'change': [2023, 4, 13]}, [2059, 1581, 0, 478]), ('regression', {'old': 12063, 'new': 1999, 'start': [2024, 10, 16], 'end': [2024, 11, 14], 'change': [2024, 11, 2]}, [4992, 827, 0, 4165]), ('partial-repair probe', {'old': 999, 'new': 1999, 'start': [2023, 10, 16], 'end': [2023, 11, 13], 'change': [2023, 11, 8]}, [178, 357, 179, 0]), ('partial-repair probe', {'old': 38640, 'new': 36658, 'start': [2024, 12, 23], 'end': [2025, 1, 22], 'change': [2025, 1, 21]}, [1288, 1222, 0, 66]), ('normal control', {'old': 4900, 'new': 8489, 'start': [2024, 3, 22], 'end': [2024, 6, 20], 'change': [2024, 4, 18]}, [3430, 5942, 2512, 0]), ('normal control', {'old': 4900, 'new': 9900, 'start': [2024, 1, 10], 'end': [2024, 4, 9], 'change': [2024, 3, 7]}, [1797, 3630, 1833, 0]), ('normal control', {'old': 34933, 'new': 4900, 'start': [2024, 12, 28], 'end': [2025, 1, 28], 'change': [2025, 1, 22]}, [6761, 948, 0, 5813]), ('normal control', {'old': 4900, 'new': 9900, 'start': [2024, 6, 18], 'end': [2024, 7, 18], 'change': [2024, 6, 21]}, [4410, 8910, 4500, 0])], [('regression', {'old': 23223, 'new': 4900, 'start': [2025, 2, 5], 'end': [2025, 3, 8], 'change': [2025, 2, 9]}, [20226, 4268, 0, 15958]), ('regression', {'old': 999, 'new': 1999, 'start': [2024, 9, 16], 'end': [2024, 12, 15], 'change': [2024, 12, 10]}, [56, 111, 55, 0]), ('partial-repair probe', {'old': 4900, 'new': 14973, 'start': [2025, 4, 11], 'end': [2025, 5, 10], 'change': [2025, 4, 17]}, [3886, 11875, 7989, 0]), ('partial-repair probe', {'old': 4900, 'new': 9900, 'start': [2024, 11, 22], 'end': [2024, 12, 21], 'change': [2024, 12, 19]}, [338, 683, 345, 0]), ('normal control', {'old': 1999, 'new': 4900, 'start': [2023, 10, 12], 'end': [2024, 10, 11], 'change': [2024, 2, 28]}, [1238, 3034, 1796, 0]), ('normal control', {'old': 999, 'new': 9900, 'start': [2025, 5, 5], 'end': [2025, 6, 3], 'change': [2025, 5, 20]}, [482, 4779, 4297, 0]), ('normal control', {'old': 33928, 'new': 9900, 'start': [2025, 3, 24], 'end': [2025, 4, 24], 'change': [2025, 4, 16]}, [8756, 2555, 0, 6201]), ('normal control', {'old': 1999, 'new': 1999, 'start': [2024, 4, 24], 'end': [2024, 5, 25], 'change': [2024, 5, 23]}, [129, 129, 0, 0])], [('regression', {'old': 1999, 'new': 4900, 'start': [2023, 2, 4], 'end': [2024, 2, 5], 'change': [2023, 8, 2]}, [1021, 2504, 1483, 0]), ('regression', {'old': 999, 'new': 4900, 'start': [2025, 1, 22], 'end': [2025, 4, 22], 'change': [2025, 3, 8]}, [500, 2450, 1950, 0]), ('partial-repair probe', {'old': 27165, 'new': 30410, 'start': [2023, 10, 29], 'end': [2024, 1, 27], 'change': [2023, 12, 28]}, [9055, 10137, 1082, 0]), ('partial-repair probe', {'old': 1999, 'new': 9900, 'start': [2024, 7, 18], 'end': [2024, 8, 18], 'change': [2024, 8, 1]}, [1096, 5429, 4333, 0]), ('normal control', {'old': 1999, 'new': 1999, 'start': [2025, 5, 29], 'end': [2025, 6, 28], 'change': [2025, 6, 7]}, [1399, 1399, 0, 0]), ('normal control', {'old': 999, 'new': 4900, 'start': [2025, 5, 24], 'end': [2025, 6, 24], 'change': [2025, 5, 24]}, [999, 4900, 3901, 0]), ('normal control', {'old': 4900, 'new': 4900, 'start': [2024, 11, 23], 'end': [2025, 11, 24], 'change': [2025, 7, 22]}, [1673, 1673, 0, 0]), ('normal control', {'old': 1999, 'new': 1999, 'start': [2025, 3, 22], 'end': [2025, 6, 20], 'change': [2025, 5, 23]}, [622, 622, 0, 0])], [('regression', {'old': 999, 'new': 1999, 'start': [2023, 12, 29], 'end': [2024, 1, 26], 'change': [2024, 1, 17]}, [321, 643, 322, 0]), ('regression', {'old': 7276, 'new': 43371, 'start': [2024, 5, 21], 'end': [2024, 8, 19], 'change': [2024, 6, 13]}, [5417, 32287, 26870, 0]), ('partial-repair probe', {'old': 6384, 'new': 4900, 'start': [2023, 3, 23], 'end': [2023, 4, 23], 'change': [2023, 4, 13]}, [2059, 1581, 0, 478]), ('partial-repair probe', {'old': 999, 'new': 9900, 'start': [2023, 10, 10], 'end': [2024, 10, 9], 'change': [2024, 4, 29]}, [446, 4421, 3975, 0]), ('normal control', {'old': 4900, 'new': 29832, 'start': [2023, 6, 23], 'end': [2023, 7, 21], 'change': [2023, 7, 16]}, [875, 5327, 4452, 0]), ('normal control', {'old': 4900, 'new': 9900, 'start': [2023, 11, 13], 'end': [2023, 12, 14], 'change': [2023, 11, 26]}, [2845, 5748, 2903, 0]), ('normal control', {'old': 4900, 'new': 4900, 'start': [2024, 5, 8], 'end': [2024, 6, 6], 'change': [2024, 6, 4]}, [338, 338, 0, 0]), ('normal control', {'old': 4900, 'new': 4900, 'start': [2024, 9, 16], 'end': [2024, 12, 15], 'change': [2024, 10, 23]}, [2886, 2886, 0, 0])], [('regression', {'old': 1999, 'new': 10802, 'start': [2025, 1, 26], 'end': [2025, 2, 24], 'change': [2025, 1, 31]}, [1654, 8940, 7286, 0]), ('regression', {'old': 4900, 'new': 46132, 'start': [2024, 4, 13], 'end': [2024, 5, 12], 'change': [2024, 4, 30]}, [2028, 19089, 17061, 0]), ('partial-repair probe', {'old': 23223, 'new': 4900, 'start': [2025, 2, 5], 'end': [2025, 3, 8], 'change': [2025, 2, 9]}, [20226, 4268, 0, 15958]), ('partial-repair probe', {'old': 17701, 'new': 4900, 'start': [2024, 7, 1], 'end': [2024, 8, 1], 'change': [2024, 7, 6]}, [14846, 4110, 0, 10736]), ('normal control', {'old': 4900, 'new': 9900, 'start': [2023, 8, 19], 'end': [2023, 9, 18], 'change': [2023, 9, 4]}, [2287, 4620, 2333, 0]), ('normal control', {'old': 1999, 'new': 9900, 'start': [2024, 9, 13], 'end': [2024, 12, 12], 'change': [2024, 11, 10]}, [711, 3520, 2809, 0]), ('normal control', {'old': 4900, 'new': 1999, 'start': [2023, 7, 16], 'end': [2023, 10, 14], 'change': [2023, 9, 2]}, [2287, 933, 0, 1354]), ('normal control', {'old': 41031, 'new': 1999, 'start': [2023, 6, 12], 'end': [2023, 7, 13], 'change': [2023, 7, 6]}, [9265, 451, 0, 8814])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, i), 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":"0904942f0a84815a3b0727b64d76f33474db8c68d0c0986d8c3e11c4bb6e7bc3","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport datetime\nimport calendar\nN = 1\nobservations = []\ndef solve(x):\n    s = datetime.date(*x['start'])\n    e = datetime.date(*x['end'])\n    c = datetime.date(*x['change'])\n    total = (e - s).days\n    remaining = (e - c).days\n    def pr(p):\n        return (p * remaining * 2 + total) // (2 * total)\n    credit = pr(x['old'])\n    charge = pr(x['new'])\n    net = ((x['new'] - x['old']) * remaining * 2 + total) // (2 * total)\n    return [credit, charge, max(0, net), max(0, -net)]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'old': 6384, 'new': 4900, 'start': [2023, 3, 23], 'end': [2023, 4, 23], 'change': [2023, 4, 13]}, [2059, 1581, 0, 478]), ('regression', {'old': 12063, 'new': 1999, 'start': [2024, 10, 16], 'end': [2024, 11, 14], 'change': [2024, 11, 2]}, [4992, 827, 0, 4165]), ('partial-repair probe', {'old': 999, 'new': 1999, 'start': [2023, 10, 16], 'end': [2023, 11, 13], 'change': [2023, 11, 8]}, [178, 357, 179, 0]), ('partial-repair probe', {'old': 38640, 'new': 36658, 'start': [2024, 12, 23], 'end': [2025, 1, 22], 'change': [2025, 1, 21]}, [1288, 1222, 0, 66]), ('normal control', {'old': 4900, 'new': 8489, 'start': [2024, 3, 22], 'end': [2024, 6, 20], 'change': [2024, 4, 18]}, [3430, 5942, 2512, 0]), ('normal control', {'old': 4900, 'new': 9900, 'start': [2024, 1, 10], 'end': [2024, 4, 9], 'change': [2024, 3, 7]}, [1797, 3630, 1833, 0]), ('normal control', {'old': 34933, 'new': 4900, 'start': [2024, 12, 28], 'end': [2025, 1, 28], 'change': [2025, 1, 22]}, [6761, 948, 0, 5813]), ('normal control', {'old': 4900, 'new': 9900, 'start': [2024, 6, 18], 'end': [2024, 7, 18], 'change': [2024, 6, 21]}, [4410, 8910, 4500, 0])], [('regression', {'old': 23223, 'new': 4900, 'start': [2025, 2, 5], 'end': [2025, 3, 8], 'change': [2025, 2, 9]}, [20226, 4268, 0, 15958]), ('regression', {'old': 999, 'new': 1999, 'start': [2024, 9, 16], 'end': [2024, 12, 15], 'change': [2024, 12, 10]}, [56, 111, 55, 0]), ('partial-repair probe', {'old': 4900, 'new': 14973, 'start': [2025, 4, 11], 'end': [2025, 5, 10], 'change': [2025, 4, 17]}, [3886, 11875, 7989, 0]), ('partial-repair probe', {'old': 4900, 'new': 9900, 'start': [2024, 11, 22], 'end': [2024, 12, 21], 'change': [2024, 12, 19]}, [338, 683, 345, 0]), ('normal control', {'old': 1999, 'new': 4900, 'start': [2023, 10, 12], 'end': [2024, 10, 11], 'change': [2024, 2, 28]}, [1238, 3034, 1796, 0]), ('normal control', {'old': 999, 'new': 9900, 'start': [2025, 5, 5], 'end': [2025, 6, 3], 'change': [2025, 5, 20]}, [482, 4779, 4297, 0]), ('normal control', {'old': 33928, 'new': 9900, 'start': [2025, 3, 24], 'end': [2025, 4, 24], 'change': [2025, 4, 16]}, [8756, 2555, 0, 6201]), ('normal control', {'old': 1999, 'new': 1999, 'start': [2024, 4, 24], 'end': [2024, 5, 25], 'change': [2024, 5, 23]}, [129, 129, 0, 0])], [('regression', {'old': 1999, 'new': 4900, 'start': [2023, 2, 4], 'end': [2024, 2, 5], 'change': [2023, 8, 2]}, [1021, 2504, 1483, 0]), ('regression', {'old': 999, 'new': 4900, 'start': [2025, 1, 22], 'end': [2025, 4, 22], 'change': [2025, 3, 8]}, [500, 2450, 1950, 0]), ('partial-repair probe', {'old': 27165, 'new': 30410, 'start': [2023, 10, 29], 'end': [2024, 1, 27], 'change': [2023, 12, 28]}, [9055, 10137, 1082, 0]), ('partial-repair probe', {'old': 1999, 'new': 9900, 'start': [2024, 7, 18], 'end': [2024, 8, 18], 'change': [2024, 8, 1]}, [1096, 5429, 4333, 0]), ('normal control', {'old': 1999, 'new': 1999, 'start': [2025, 5, 29], 'end': [2025, 6, 28], 'change': [2025, 6, 7]}, [1399, 1399, 0, 0]), ('normal control', {'old': 999, 'new': 4900, 'start': [2025, 5, 24], 'end': [2025, 6, 24], 'change': [2025, 5, 24]}, [999, 4900, 3901, 0]), ('normal control', {'old': 4900, 'new': 4900, 'start': [2024, 11, 23], 'end': [2025, 11, 24], 'change': [2025, 7, 22]}, [1673, 1673, 0, 0]), ('normal control', {'old': 1999, 'new': 1999, 'start': [2025, 3, 22], 'end': [2025, 6, 20], 'change': [2025, 5, 23]}, [622, 622, 0, 0])], [('regression', {'old': 999, 'new': 1999, 'start': [2023, 12, 29], 'end': [2024, 1, 26], 'change': [2024, 1, 17]}, [321, 643, 322, 0]), ('regression', {'old': 7276, 'new': 43371, 'start': [2024, 5, 21], 'end': [2024, 8, 19], 'change': [2024, 6, 13]}, [5417, 32287, 26870, 0]), ('partial-repair probe', {'old': 6384, 'new': 4900, 'start': [2023, 3, 23], 'end': [2023, 4, 23], 'change': [2023, 4, 13]}, [2059, 1581, 0, 478]), ('partial-repair probe', {'old': 999, 'new': 9900, 'start': [2023, 10, 10], 'end': [2024, 10, 9], 'change': [2024, 4, 29]}, [446, 4421, 3975, 0]), ('normal control', {'old': 4900, 'new': 29832, 'start': [2023, 6, 23], 'end': [2023, 7, 21], 'change': [2023, 7, 16]}, [875, 5327, 4452, 0]), ('normal control', {'old': 4900, 'new': 9900, 'start': [2023, 11, 13], 'end': [2023, 12, 14], 'change': [2023, 11, 26]}, [2845, 5748, 2903, 0]), ('normal control', {'old': 4900, 'new': 4900, 'start': [2024, 5, 8], 'end': [2024, 6, 6], 'change': [2024, 6, 4]}, [338, 338, 0, 0]), ('normal control', {'old': 4900, 'new': 4900, 'start': [2024, 9, 16], 'end': [2024, 12, 15], 'change': [2024, 10, 23]}, [2886, 2886, 0, 0])], [('regression', {'old': 1999, 'new': 10802, 'start': [2025, 1, 26], 'end': [2025, 2, 24], 'change': [2025, 1, 31]}, [1654, 8940, 7286, 0]), ('regression', {'old': 4900, 'new': 46132, 'start': [2024, 4, 13], 'end': [2024, 5, 12], 'change': [2024, 4, 30]}, [2028, 19089, 17061, 0]), ('partial-repair probe', {'old': 23223, 'new': 4900, 'start': [2025, 2, 5], 'end': [2025, 3, 8], 'change': [2025, 2, 9]}, [20226, 4268, 0, 15958]), ('partial-repair probe', {'old': 17701, 'new': 4900, 'start': [2024, 7, 1], 'end': [2024, 8, 1], 'change': [2024, 7, 6]}, [14846, 4110, 0, 10736]), ('normal control', {'old': 4900, 'new': 9900, 'start': [2023, 8, 19], 'end': [2023, 9, 18], 'change': [2023, 9, 4]}, [2287, 4620, 2333, 0]), ('normal control', {'old': 1999, 'new': 9900, 'start': [2024, 9, 13], 'end': [2024, 12, 12], 'change': [2024, 11, 10]}, [711, 3520, 2809, 0]), ('normal control', {'old': 4900, 'new': 1999, 'start': [2023, 7, 16], 'end': [2023, 10, 14], 'change': [2023, 9, 2]}, [2287, 933, 0, 1354]), ('normal control', {'old': 41031, 'new': 1999, 'start': [2023, 6, 12], 'end': [2023, 7, 13], 'change': [2023, 7, 6]}, [9265, 451, 0, 8814])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, i), 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 teaching model of a stipulated billing rule. It makes no claim to reproduce any billing provider's exact behaviour and is not billing software. 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-subscription-proration-daily-plan-change-net-rounding-composition","generated_at":"2026-09-29T14:46:35.484851+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Mid-cycle plan changes must credit unused time on the old plan and charge the new plan for the same days.","root_cause":"The net is recomputed from the price difference with its own rounding instead of from the rounded line items.","sha256":"aa305ef5471c67c143c472c18a8e2dc24c8050b3077afa9d27578bc2d2bf32da","title":"Daily plan-change proration: net rounding composition · 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":42.125,"exit_code":1,"observations":[{"actual":[2059,1581,0,479],"check":"regression 0","expected":[2059,1581,0,478],"passed":false},{"actual":[4992,827,0,4165],"check":"regression 1","expected":[4992,827,0,4165],"passed":true},{"actual":[178,357,178,0],"check":"partial-repair probe 2","expected":[178,357,179,0],"passed":false},{"actual":[1288,1222,0,67],"check":"partial-repair probe 3","expected":[1288,1222,0,66],"passed":false},{"actual":[3430,5942,2512,0],"check":"normal control 4","expected":[3430,5942,2512,0],"passed":true},{"actual":[1797,3630,1833,0],"check":"normal control 5","expected":[1797,3630,1833,0],"passed":true},{"actual":[6761,948,0,5813],"check":"normal control 6","expected":[6761,948,0,5813],"passed":true},{"actual":[4410,8910,4500,0],"check":"normal control 7","expected":[4410,8910,4500,0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [2059, 1581, 0, 479], \"expected\": [2059, 1581, 0, 478], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [4992, 827, 0, 4165], \"expected\": [4992, 827, 0, 4165], \"passed\": true}, {\"check\": \"partial-repair probe 2\", \"actual\": [178, 357, 178, 0], \"expected\": [178, 357, 179, 0], \"passed\": false}, {\"check\": \"partial-repair probe 3\", \"actual\": [1288, 1222, 0, 67], \"expected\": [1288, 1222, 0, 66], \"passed\": false}, {\"check\": \"normal control 4\", \"actual\": [3430, 5942, 2512, 0], \"expected\": [3430, 5942, 2512, 0], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [1797, 3630, 1833, 0], \"expected\": [1797, 3630, 1833, 0], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [6761, 948, 0, 5813], \"expected\": [6761, 948, 0, 5813], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [4410, 8910, 4500, 0], \"expected\": [4410, 8910, 4500, 0], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":45.646,"exit_code":1,"observations":[{"actual":[2059,1581,0,479],"check":"regression 0","expected":[2059,1581,0,478],"passed":false},{"actual":[4992,827,0,4164],"check":"regression 1","expected":[4992,827,0,4165],"passed":false},{"actual":[178,357,179,0],"check":"partial-repair probe 2","expected":[178,357,179,0],"passed":true},{"actual":[1288,1222,0,66],"check":"partial-repair probe 3","expected":[1288,1222,0,66],"passed":true},{"actual":[3430,5942,2512,0],"check":"normal control 4","expected":[3430,5942,2512,0],"passed":true},{"actual":[1797,3630,1833,0],"check":"normal control 5","expected":[1797,3630,1833,0],"passed":true},{"actual":[6761,948,0,5813],"check":"normal control 6","expected":[6761,948,0,5813],"passed":true},{"actual":[4410,8910,4500,0],"check":"normal control 7","expected":[4410,8910,4500,0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [2059, 1581, 0, 479], \"expected\": [2059, 1581, 0, 478], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [4992, 827, 0, 4164], \"expected\": [4992, 827, 0, 4165], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [178, 357, 179, 0], \"expected\": [178, 357, 179, 0], \"passed\": true}, {\"check\": \"partial-repair probe 3\", \"actual\": [1288, 1222, 0, 66], \"expected\": [1288, 1222, 0, 66], \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": [3430, 5942, 2512, 0], \"expected\": [3430, 5942, 2512, 0], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [1797, 3630, 1833, 0], \"expected\": [1797, 3630, 1833, 0], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [6761, 948, 0, 5813], \"expected\": [6761, 948, 0, 5813], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [4410, 8910, 4500, 0], \"expected\": [4410, 8910, 4500, 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."}}