{"abstract":"Invoice tax differs by a cent from the sum of the per-line tax amounts shown.","category":"Subscription proration billing","checks":8,"contract":"Input {lines: [[signed cents, taxable]], rate_bp}. Tax is computed per taxable line, including negative credit lines (negative tax), each rounded half away from zero, then summed. Subtotal is the sum of all lines. Return [subtotal, tax, subtotal + tax].","evaluation_group":"w2-subscription-proration-proration-line-tax","failed_approach":"The attempt computes per line but floors, rounding negative lines away and positive lines down.","family":"w2-subscription-proration-proration-line-tax-per-line-tax-rounding","id":"FA-59531","implementations":{"attempt":{"sha256":"1f4078638176354e2b1cf09a4e3080d2392a1893770e2db1e393695187017b61","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    parts = []\n    for amt, taxable in x['lines']:\n        if taxable:\n            parts.append(amt * x['rate_bp'])\n    def hr(n):\n        t = (abs(n) * 2 + 10000) // 20000\n        return t if n >= 0 else -t\n    tax = sum(n // 10000 for n in parts)\n    sub = sum(a for a, t in x['lines'])\n    return [sub, tax, sub + tax]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('regression', {'lines': [[-17245, True], [79270, True], [25, True], [-36068, True]], 'rate_bp': 720}, [25982, 1870, 27852]), ('partial-repair probe', {'lines': [[-30768, True], [88008, True], [58540, True], [-18089, False]], 'rate_bp': 50}, [97691, 579, 98270]), ('partial-repair probe', {'lines': [[53, True], [-19388, True], [67, True]], 'rate_bp': 2000}, [-19268, -3854, -23122]), ('normal control', {'lines': [[-51735, False]], 'rate_bp': 2267}, [-51735, 0, -51735]), ('normal control', {'lines': [[-42950, False], [83094, False], [74700, False], [-33526, False]], 'rate_bp': 725}, [81318, 0, 81318]), ('normal control', {'lines': [[1785, False]], 'rate_bp': 1510}, [1785, 0, 1785]), ('normal control', {'lines': [[11, True], [30948, False]], 'rate_bp': 1000}, [30959, 1, 30960])], [('regression', {'lines': [[-17245, True], [79270, True], [25, True], [-36068, True]], 'rate_bp': 720}, [25982, 1870, 27852]), ('regression', {'lines': [[49804, True], [5609, True], [29, True], [-28832, True]], 'rate_bp': 725}, [26610, 1930, 28540]), ('partial-repair probe', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('normal control', {'lines': [[-25891, False]], 'rate_bp': 50}, [-25891, 0, -25891]), ('normal control', {'lines': [[20, False]], 'rate_bp': 50}, [20, 0, 20]), ('normal control', {'lines': [[13, True]], 'rate_bp': 825}, [13, 1, 14]), ('normal control', {'lines': [[49780, False], [72791, False]], 'rate_bp': 725}, [122571, 0, 122571])], [('regression', {'lines': [[49804, True], [5609, True], [29, True], [-28832, True]], 'rate_bp': 725}, [26610, 1930, 28540]), ('regression', {'lines': [[52, True], [19, False], [14472, True], [91, False]], 'rate_bp': 297}, [14634, 432, 15066]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('partial-repair probe', {'lines': [[70, True]], 'rate_bp': 825}, [70, 6, 76]), ('normal control', {'lines': [[91, False]], 'rate_bp': 12}, [91, 0, 91]), ('normal control', {'lines': [[25, True]], 'rate_bp': 825}, [25, 2, 27]), ('normal control', {'lines': [[19129, False]], 'rate_bp': 725}, [19129, 0, 19129]), ('normal control', {'lines': [[84, False]], 'rate_bp': 1355}, [84, 0, 84])], [('regression', {'lines': [[52, True], [19, False], [14472, True], [91, False]], 'rate_bp': 297}, [14634, 432, 15066]), ('regression', {'lines': [[-46622, True], [77, True], [83716, False], [46, True], [37, True]], 'rate_bp': 1000}, [37254, -4645, 32609]), ('partial-repair probe', {'lines': [[-7052, True]], 'rate_bp': 2000}, [-7052, -1410, -8462]), ('partial-repair probe', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('normal control', {'lines': [[35, True]], 'rate_bp': 50}, [35, 0, 35]), ('normal control', {'lines': [[-17532, True]], 'rate_bp': 50}, [-17532, -88, -17620]), ('normal control', {'lines': [[95, True]], 'rate_bp': 2000}, [95, 19, 114]), ('normal control', {'lines': [[1, False]], 'rate_bp': 50}, [1, 0, 1])], [('regression', {'lines': [[-46622, True], [77, True], [83716, False], [46, True], [37, True]], 'rate_bp': 1000}, [37254, -4645, 32609]), ('regression', {'lines': [[74, True], [81059, True], [70668, True]], 'rate_bp': 825}, [151801, 12523, 164324]), ('partial-repair probe', {'lines': [[30278, True], [-25624, False], [18105, True]], 'rate_bp': 50}, [22759, 242, 23001]), ('partial-repair probe', {'lines': [[73474, True], [48, False], [70693, False], [-3471, True]], 'rate_bp': 725}, [140744, 5075, 145819]), ('normal control', {'lines': [[80389, True]], 'rate_bp': 725}, [80389, 5828, 86217]), ('normal control', {'lines': [[19, False], [1, True], [-36175, False], [25, True]], 'rate_bp': 2000}, [-36130, 5, -36125]), ('normal control', {'lines': [[-28065, False], [42, False]], 'rate_bp': 725}, [-28023, 0, -28023]), ('normal control', {'lines': [[6941, True], [925, False]], 'rate_bp': 725}, [7866, 503, 8369])]]\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":"4fc6a3398e7952e3adcfd05c1843e951a1dc5f5a28a23a00f79b646572856cbe","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    parts = []\n    for amt, taxable in x['lines']:\n        if taxable:\n            parts.append(amt * x['rate_bp'])\n    def hr(n):\n        t = (abs(n) * 2 + 10000) // 20000\n        return t if n >= 0 else -t\n    tax = hr(sum(parts))\n    sub = sum(a for a, t in x['lines'])\n    return [sub, tax, sub + tax]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('regression', {'lines': [[-17245, True], [79270, True], [25, True], [-36068, True]], 'rate_bp': 720}, [25982, 1870, 27852]), ('partial-repair probe', {'lines': [[-30768, True], [88008, True], [58540, True], [-18089, False]], 'rate_bp': 50}, [97691, 579, 98270]), ('partial-repair probe', {'lines': [[53, True], [-19388, True], [67, True]], 'rate_bp': 2000}, [-19268, -3854, -23122]), ('normal control', {'lines': [[-51735, False]], 'rate_bp': 2267}, [-51735, 0, -51735]), ('normal control', {'lines': [[-42950, False], [83094, False], [74700, False], [-33526, False]], 'rate_bp': 725}, [81318, 0, 81318]), ('normal control', {'lines': [[1785, False]], 'rate_bp': 1510}, [1785, 0, 1785]), ('normal control', {'lines': [[11, True], [30948, False]], 'rate_bp': 1000}, [30959, 1, 30960])], [('regression', {'lines': [[-17245, True], [79270, True], [25, True], [-36068, True]], 'rate_bp': 720}, [25982, 1870, 27852]), ('regression', {'lines': [[49804, True], [5609, True], [29, True], [-28832, True]], 'rate_bp': 725}, [26610, 1930, 28540]), ('partial-repair probe', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('normal control', {'lines': [[-25891, False]], 'rate_bp': 50}, [-25891, 0, -25891]), ('normal control', {'lines': [[20, False]], 'rate_bp': 50}, [20, 0, 20]), ('normal control', {'lines': [[13, True]], 'rate_bp': 825}, [13, 1, 14]), ('normal control', {'lines': [[49780, False], [72791, False]], 'rate_bp': 725}, [122571, 0, 122571])], [('regression', {'lines': [[49804, True], [5609, True], [29, True], [-28832, True]], 'rate_bp': 725}, [26610, 1930, 28540]), ('regression', {'lines': [[52, True], [19, False], [14472, True], [91, False]], 'rate_bp': 297}, [14634, 432, 15066]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('partial-repair probe', {'lines': [[70, True]], 'rate_bp': 825}, [70, 6, 76]), ('normal control', {'lines': [[91, False]], 'rate_bp': 12}, [91, 0, 91]), ('normal control', {'lines': [[25, True]], 'rate_bp': 825}, [25, 2, 27]), ('normal control', {'lines': [[19129, False]], 'rate_bp': 725}, [19129, 0, 19129]), ('normal control', {'lines': [[84, False]], 'rate_bp': 1355}, [84, 0, 84])], [('regression', {'lines': [[52, True], [19, False], [14472, True], [91, False]], 'rate_bp': 297}, [14634, 432, 15066]), ('regression', {'lines': [[-46622, True], [77, True], [83716, False], [46, True], [37, True]], 'rate_bp': 1000}, [37254, -4645, 32609]), ('partial-repair probe', {'lines': [[-7052, True]], 'rate_bp': 2000}, [-7052, -1410, -8462]), ('partial-repair probe', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('normal control', {'lines': [[35, True]], 'rate_bp': 50}, [35, 0, 35]), ('normal control', {'lines': [[-17532, True]], 'rate_bp': 50}, [-17532, -88, -17620]), ('normal control', {'lines': [[95, True]], 'rate_bp': 2000}, [95, 19, 114]), ('normal control', {'lines': [[1, False]], 'rate_bp': 50}, [1, 0, 1])], [('regression', {'lines': [[-46622, True], [77, True], [83716, False], [46, True], [37, True]], 'rate_bp': 1000}, [37254, -4645, 32609]), ('regression', {'lines': [[74, True], [81059, True], [70668, True]], 'rate_bp': 825}, [151801, 12523, 164324]), ('partial-repair probe', {'lines': [[30278, True], [-25624, False], [18105, True]], 'rate_bp': 50}, [22759, 242, 23001]), ('partial-repair probe', {'lines': [[73474, True], [48, False], [70693, False], [-3471, True]], 'rate_bp': 725}, [140744, 5075, 145819]), ('normal control', {'lines': [[80389, True]], 'rate_bp': 725}, [80389, 5828, 86217]), ('normal control', {'lines': [[19, False], [1, True], [-36175, False], [25, True]], 'rate_bp': 2000}, [-36130, 5, -36125]), ('normal control', {'lines': [[-28065, False], [42, False]], 'rate_bp': 725}, [-28023, 0, -28023]), ('normal control', {'lines': [[6941, True], [925, False]], 'rate_bp': 725}, [7866, 503, 8369])]]\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"},"fixed":{"sha256":"2a55d82133ecbb0006fe031fea737a507f8671602b970f1afbb63b765a0863ab","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    parts = []\n    for amt, taxable in x['lines']:\n        if taxable:\n            parts.append(amt * x['rate_bp'])\n    def hr(n):\n        t = (abs(n) * 2 + 10000) // 20000\n        return t if n >= 0 else -t\n    tax = sum(hr(n) for n in parts)\n    sub = sum(a for a, t in x['lines'])\n    return [sub, tax, sub + tax]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('regression', {'lines': [[-17245, True], [79270, True], [25, True], [-36068, True]], 'rate_bp': 720}, [25982, 1870, 27852]), ('partial-repair probe', {'lines': [[-30768, True], [88008, True], [58540, True], [-18089, False]], 'rate_bp': 50}, [97691, 579, 98270]), ('partial-repair probe', {'lines': [[53, True], [-19388, True], [67, True]], 'rate_bp': 2000}, [-19268, -3854, -23122]), ('normal control', {'lines': [[-51735, False]], 'rate_bp': 2267}, [-51735, 0, -51735]), ('normal control', {'lines': [[-42950, False], [83094, False], [74700, False], [-33526, False]], 'rate_bp': 725}, [81318, 0, 81318]), ('normal control', {'lines': [[1785, False]], 'rate_bp': 1510}, [1785, 0, 1785]), ('normal control', {'lines': [[11, True], [30948, False]], 'rate_bp': 1000}, [30959, 1, 30960])], [('regression', {'lines': [[-17245, True], [79270, True], [25, True], [-36068, True]], 'rate_bp': 720}, [25982, 1870, 27852]), ('regression', {'lines': [[49804, True], [5609, True], [29, True], [-28832, True]], 'rate_bp': 725}, [26610, 1930, 28540]), ('partial-repair probe', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('normal control', {'lines': [[-25891, False]], 'rate_bp': 50}, [-25891, 0, -25891]), ('normal control', {'lines': [[20, False]], 'rate_bp': 50}, [20, 0, 20]), ('normal control', {'lines': [[13, True]], 'rate_bp': 825}, [13, 1, 14]), ('normal control', {'lines': [[49780, False], [72791, False]], 'rate_bp': 725}, [122571, 0, 122571])], [('regression', {'lines': [[49804, True], [5609, True], [29, True], [-28832, True]], 'rate_bp': 725}, [26610, 1930, 28540]), ('regression', {'lines': [[52, True], [19, False], [14472, True], [91, False]], 'rate_bp': 297}, [14634, 432, 15066]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('partial-repair probe', {'lines': [[70, True]], 'rate_bp': 825}, [70, 6, 76]), ('normal control', {'lines': [[91, False]], 'rate_bp': 12}, [91, 0, 91]), ('normal control', {'lines': [[25, True]], 'rate_bp': 825}, [25, 2, 27]), ('normal control', {'lines': [[19129, False]], 'rate_bp': 725}, [19129, 0, 19129]), ('normal control', {'lines': [[84, False]], 'rate_bp': 1355}, [84, 0, 84])], [('regression', {'lines': [[52, True], [19, False], [14472, True], [91, False]], 'rate_bp': 297}, [14634, 432, 15066]), ('regression', {'lines': [[-46622, True], [77, True], [83716, False], [46, True], [37, True]], 'rate_bp': 1000}, [37254, -4645, 32609]), ('partial-repair probe', {'lines': [[-7052, True]], 'rate_bp': 2000}, [-7052, -1410, -8462]), ('partial-repair probe', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('normal control', {'lines': [[35, True]], 'rate_bp': 50}, [35, 0, 35]), ('normal control', {'lines': [[-17532, True]], 'rate_bp': 50}, [-17532, -88, -17620]), ('normal control', {'lines': [[95, True]], 'rate_bp': 2000}, [95, 19, 114]), ('normal control', {'lines': [[1, False]], 'rate_bp': 50}, [1, 0, 1])], [('regression', {'lines': [[-46622, True], [77, True], [83716, False], [46, True], [37, True]], 'rate_bp': 1000}, [37254, -4645, 32609]), ('regression', {'lines': [[74, True], [81059, True], [70668, True]], 'rate_bp': 825}, [151801, 12523, 164324]), ('partial-repair probe', {'lines': [[30278, True], [-25624, False], [18105, True]], 'rate_bp': 50}, [22759, 242, 23001]), ('partial-repair probe', {'lines': [[73474, True], [48, False], [70693, False], [-3471, True]], 'rate_bp': 725}, [140744, 5075, 145819]), ('normal control', {'lines': [[80389, True]], 'rate_bp': 725}, [80389, 5828, 86217]), ('normal control', {'lines': [[19, False], [1, True], [-36175, False], [25, True]], 'rate_bp': 2000}, [-36130, 5, -36125]), ('normal control', {'lines': [[-28065, False], [42, False]], 'rate_bp': 725}, [-28023, 0, -28023]), ('normal control', {'lines': [[6941, True], [925, False]], 'rate_bp': 725}, [7866, 503, 8369])]]\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-proration-line-tax-per-line-tax-rounding","generated_at":"2026-09-29T14:46:37.209771+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Credit lines on a prorated invoice must reverse the tax charged on the original period.","repair":"Restore the contract rule at the per-line tax rounding step: use `tax = sum(hr(n) for n in parts)`.","root_cause":"Tax is rounded once on the invoice total instead of per line.","sha256":"8efd2aa69a409312b56862c54717d3afbe268228ff7f4eda47296cbd344bf31a","title":"Sales tax on proration credit and debit lines: per-line tax rounding · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":39.293,"exit_code":1,"observations":[{"actual":[-29416,-2429,-31845],"check":"regression 0","expected":[-29416,-2426,-31842],"passed":false},{"actual":[25982,1869,27851],"check":"regression 1","expected":[25982,1870,27852],"passed":false},{"actual":[97691,578,98269],"check":"partial-repair probe 2","expected":[97691,579,98270],"passed":false},{"actual":[-19268,-3855,-23123],"check":"partial-repair probe 3","expected":[-19268,-3854,-23122],"passed":false},{"actual":[-51735,0,-51735],"check":"normal control 4","expected":[-51735,0,-51735],"passed":true},{"actual":[81318,0,81318],"check":"normal control 5","expected":[81318,0,81318],"passed":true},{"actual":[1785,0,1785],"check":"normal control 6","expected":[1785,0,1785],"passed":true},{"actual":[30959,1,30960],"check":"normal control 7","expected":[30959,1,30960],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [-29416, -2429, -31845], \"expected\": [-29416, -2426, -31842], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [25982, 1869, 27851], \"expected\": [25982, 1870, 27852], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [97691, 578, 98269], \"expected\": [97691, 579, 98270], \"passed\": false}, {\"check\": \"partial-repair probe 3\", \"actual\": [-19268, -3855, -23123], \"expected\": [-19268, -3854, -23122], \"passed\": false}, {\"check\": \"normal control 4\", \"actual\": [-51735, 0, -51735], \"expected\": [-51735, 0, -51735], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [81318, 0, 81318], \"expected\": [81318, 0, 81318], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [1785, 0, 1785], \"expected\": [1785, 0, 1785], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [30959, 1, 30960], \"expected\": [30959, 1, 30960], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.582,"exit_code":1,"observations":[{"actual":[-29416,-2427,-31843],"check":"regression 0","expected":[-29416,-2426,-31842],"passed":false},{"actual":[25982,1871,27853],"check":"regression 1","expected":[25982,1870,27852],"passed":false},{"actual":[97691,579,98270],"check":"partial-repair probe 2","expected":[97691,579,98270],"passed":true},{"actual":[-19268,-3854,-23122],"check":"partial-repair probe 3","expected":[-19268,-3854,-23122],"passed":true},{"actual":[-51735,0,-51735],"check":"normal control 4","expected":[-51735,0,-51735],"passed":true},{"actual":[81318,0,81318],"check":"normal control 5","expected":[81318,0,81318],"passed":true},{"actual":[1785,0,1785],"check":"normal control 6","expected":[1785,0,1785],"passed":true},{"actual":[30959,1,30960],"check":"normal control 7","expected":[30959,1,30960],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [-29416, -2427, -31843], \"expected\": [-29416, -2426, -31842], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [25982, 1871, 27853], \"expected\": [25982, 1870, 27852], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [97691, 579, 98270], \"expected\": [97691, 579, 98270], \"passed\": true}, {\"check\": \"partial-repair probe 3\", \"actual\": [-19268, -3854, -23122], \"expected\": [-19268, -3854, -23122], \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": [-51735, 0, -51735], \"expected\": [-51735, 0, -51735], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [81318, 0, 81318], \"expected\": [81318, 0, 81318], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [1785, 0, 1785], \"expected\": [1785, 0, 1785], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [30959, 1, 30960], \"expected\": [30959, 1, 30960], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":38.808,"exit_code":0,"observations":[{"actual":[-29416,-2426,-31842],"check":"regression 0","expected":[-29416,-2426,-31842],"passed":true},{"actual":[25982,1870,27852],"check":"regression 1","expected":[25982,1870,27852],"passed":true},{"actual":[97691,579,98270],"check":"partial-repair probe 2","expected":[97691,579,98270],"passed":true},{"actual":[-19268,-3854,-23122],"check":"partial-repair probe 3","expected":[-19268,-3854,-23122],"passed":true},{"actual":[-51735,0,-51735],"check":"normal control 4","expected":[-51735,0,-51735],"passed":true},{"actual":[81318,0,81318],"check":"normal control 5","expected":[81318,0,81318],"passed":true},{"actual":[1785,0,1785],"check":"normal control 6","expected":[1785,0,1785],"passed":true},{"actual":[30959,1,30960],"check":"normal control 7","expected":[30959,1,30960],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [-29416, -2426, -31842], \"expected\": [-29416, -2426, -31842], \"passed\": true}, {\"check\": \"regression 1\", \"actual\": [25982, 1870, 27852], \"expected\": [25982, 1870, 27852], \"passed\": true}, {\"check\": \"partial-repair probe 2\", \"actual\": [97691, 579, 98270], \"expected\": [97691, 579, 98270], \"passed\": true}, {\"check\": \"partial-repair probe 3\", \"actual\": [-19268, -3854, -23122], \"expected\": [-19268, -3854, -23122], \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": [-51735, 0, -51735], \"expected\": [-51735, 0, -51735], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [81318, 0, 81318], \"expected\": [81318, 0, 81318], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [1785, 0, 1785], \"expected\": [1785, 0, 1785], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [30959, 1, 30960], \"expected\": [30959, 1, 30960], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}