{"abstract":"Non-taxable lines disappear from the invoice subtotal.","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 sums charges but drops credit lines from the subtotal.","family":"w2-subscription-proration-proration-line-tax-subtotal-composition","id":"FA-59536","implementations":{"attempt":{"sha256":"f50b90efc3351dd68671325c5cb1110f73aa307e4e704af94d4900bb510231fe","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'] if a > 0)\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': [[-30768, True], [88008, True], [58540, True], [-18089, False]], 'rate_bp': 50}, [97691, 579, 98270]), ('regression', {'lines': [[-51735, False]], 'rate_bp': 2267}, [-51735, 0, -51735]), ('partial-repair probe', {'lines': [[53, True], [-19388, True], [67, True]], 'rate_bp': 2000}, [-19268, -3854, -23122]), ('partial-repair probe', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('normal control', {'lines': [[70, True]], 'rate_bp': 825}, [70, 6, 76]), ('normal control', {'lines': [[78656, True]], 'rate_bp': 1498}, [78656, 11783, 90439]), ('normal control', {'lines': [[74, True], [81059, True], [70668, True]], 'rate_bp': 825}, [151801, 12523, 164324]), ('normal control', {'lines': [[13, True]], 'rate_bp': 825}, [13, 1, 14])], [('regression', {'lines': [[-51735, False]], 'rate_bp': 2267}, [-51735, 0, -51735]), ('regression', {'lines': [[-42950, False], [83094, False], [74700, False], [-33526, False]], 'rate_bp': 725}, [81318, 0, 81318]), ('partial-repair probe', {'lines': [[53, True], [-19388, True], [67, True]], 'rate_bp': 2000}, [-19268, -3854, -23122]), ('partial-repair probe', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('normal control', {'lines': [[7, True]], 'rate_bp': 725}, [7, 1, 8]), ('normal control', {'lines': [[25, True]], 'rate_bp': 825}, [25, 2, 27]), ('normal control', {'lines': [[35, True]], 'rate_bp': 50}, [35, 0, 35]), ('normal control', {'lines': [[95, True]], 'rate_bp': 2000}, [95, 19, 114])], [('regression', {'lines': [[-42950, False], [83094, False], [74700, False], [-33526, False]], 'rate_bp': 725}, [81318, 0, 81318]), ('regression', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('partial-repair probe', {'lines': [[-17245, True], [79270, True], [25, True], [-36068, True]], 'rate_bp': 720}, [25982, 1870, 27852]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('normal control', {'lines': [[30480, True], [19, True], [32317, True]], 'rate_bp': 2002}, [62816, 12576, 75392]), ('normal control', {'lines': [[80389, True]], 'rate_bp': 725}, [80389, 5828, 86217]), ('normal control', {'lines': [[54, True], [71675, True]], 'rate_bp': 825}, [71729, 5917, 77646]), ('normal control', {'lines': [[5, True], [1, True], [7132, True]], 'rate_bp': 1000}, [7138, 714, 7852])], [('regression', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('regression', {'lines': [[30278, True], [-25624, False], [18105, True]], 'rate_bp': 50}, [22759, 242, 23001]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('partial-repair probe', {'lines': [[-7052, True]], 'rate_bp': 2000}, [-7052, -1410, -8462]), ('normal control', {'lines': [[32, True]], 'rate_bp': 725}, [32, 2, 34]), ('normal control', {'lines': [[79, True], [93, True]], 'rate_bp': 825}, [172, 15, 187]), ('normal control', {'lines': [[24815, True]], 'rate_bp': 1152}, [24815, 2859, 27674]), ('normal control', {'lines': [[6, True]], 'rate_bp': 825}, [6, 0, 6])], [('regression', {'lines': [[30278, True], [-25624, False], [18105, True]], 'rate_bp': 50}, [22759, 242, 23001]), ('regression', {'lines': [[73474, True], [48, False], [70693, False], [-3471, True]], 'rate_bp': 725}, [140744, 5075, 145819]), ('partial-repair probe', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('partial-repair probe', {'lines': [[49804, True], [5609, True], [29, True], [-28832, True]], 'rate_bp': 725}, [26610, 1930, 28540]), ('normal control', {'lines': [[54, True]], 'rate_bp': 725}, [54, 4, 58]), ('normal control', {'lines': [[78316, True], [34, True]], 'rate_bp': 2000}, [78350, 15670, 94020]), ('normal control', {'lines': [[79726, True]], 'rate_bp': 2000}, [79726, 15945, 95671]), ('normal control', {'lines': [[58, True], [26, True]], 'rate_bp': 1140}, [84, 10, 94])]]\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":"a55a11cb62e93caf6837d0ad08e5c16ae681793b2f8f7075f65d82d368b8017b","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'] if t)\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': [[-30768, True], [88008, True], [58540, True], [-18089, False]], 'rate_bp': 50}, [97691, 579, 98270]), ('regression', {'lines': [[-51735, False]], 'rate_bp': 2267}, [-51735, 0, -51735]), ('partial-repair probe', {'lines': [[53, True], [-19388, True], [67, True]], 'rate_bp': 2000}, [-19268, -3854, -23122]), ('partial-repair probe', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('normal control', {'lines': [[70, True]], 'rate_bp': 825}, [70, 6, 76]), ('normal control', {'lines': [[78656, True]], 'rate_bp': 1498}, [78656, 11783, 90439]), ('normal control', {'lines': [[74, True], [81059, True], [70668, True]], 'rate_bp': 825}, [151801, 12523, 164324]), ('normal control', {'lines': [[13, True]], 'rate_bp': 825}, [13, 1, 14])], [('regression', {'lines': [[-51735, False]], 'rate_bp': 2267}, [-51735, 0, -51735]), ('regression', {'lines': [[-42950, False], [83094, False], [74700, False], [-33526, False]], 'rate_bp': 725}, [81318, 0, 81318]), ('partial-repair probe', {'lines': [[53, True], [-19388, True], [67, True]], 'rate_bp': 2000}, [-19268, -3854, -23122]), ('partial-repair probe', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('normal control', {'lines': [[7, True]], 'rate_bp': 725}, [7, 1, 8]), ('normal control', {'lines': [[25, True]], 'rate_bp': 825}, [25, 2, 27]), ('normal control', {'lines': [[35, True]], 'rate_bp': 50}, [35, 0, 35]), ('normal control', {'lines': [[95, True]], 'rate_bp': 2000}, [95, 19, 114])], [('regression', {'lines': [[-42950, False], [83094, False], [74700, False], [-33526, False]], 'rate_bp': 725}, [81318, 0, 81318]), ('regression', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('partial-repair probe', {'lines': [[-17245, True], [79270, True], [25, True], [-36068, True]], 'rate_bp': 720}, [25982, 1870, 27852]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('normal control', {'lines': [[30480, True], [19, True], [32317, True]], 'rate_bp': 2002}, [62816, 12576, 75392]), ('normal control', {'lines': [[80389, True]], 'rate_bp': 725}, [80389, 5828, 86217]), ('normal control', {'lines': [[54, True], [71675, True]], 'rate_bp': 825}, [71729, 5917, 77646]), ('normal control', {'lines': [[5, True], [1, True], [7132, True]], 'rate_bp': 1000}, [7138, 714, 7852])], [('regression', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('regression', {'lines': [[30278, True], [-25624, False], [18105, True]], 'rate_bp': 50}, [22759, 242, 23001]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('partial-repair probe', {'lines': [[-7052, True]], 'rate_bp': 2000}, [-7052, -1410, -8462]), ('normal control', {'lines': [[32, True]], 'rate_bp': 725}, [32, 2, 34]), ('normal control', {'lines': [[79, True], [93, True]], 'rate_bp': 825}, [172, 15, 187]), ('normal control', {'lines': [[24815, True]], 'rate_bp': 1152}, [24815, 2859, 27674]), ('normal control', {'lines': [[6, True]], 'rate_bp': 825}, [6, 0, 6])], [('regression', {'lines': [[30278, True], [-25624, False], [18105, True]], 'rate_bp': 50}, [22759, 242, 23001]), ('regression', {'lines': [[73474, True], [48, False], [70693, False], [-3471, True]], 'rate_bp': 725}, [140744, 5075, 145819]), ('partial-repair probe', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('partial-repair probe', {'lines': [[49804, True], [5609, True], [29, True], [-28832, True]], 'rate_bp': 725}, [26610, 1930, 28540]), ('normal control', {'lines': [[54, True]], 'rate_bp': 725}, [54, 4, 58]), ('normal control', {'lines': [[78316, True], [34, True]], 'rate_bp': 2000}, [78350, 15670, 94020]), ('normal control', {'lines': [[79726, True]], 'rate_bp': 2000}, [79726, 15945, 95671]), ('normal control', {'lines': [[58, True], [26, True]], 'rate_bp': 1140}, [84, 10, 94])]]\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":"b005cf3e1de3f362560e037291ebe956dbc0642ac0abe9a7c0b2e5202630f286","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': [[-30768, True], [88008, True], [58540, True], [-18089, False]], 'rate_bp': 50}, [97691, 579, 98270]), ('regression', {'lines': [[-51735, False]], 'rate_bp': 2267}, [-51735, 0, -51735]), ('partial-repair probe', {'lines': [[53, True], [-19388, True], [67, True]], 'rate_bp': 2000}, [-19268, -3854, -23122]), ('partial-repair probe', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('normal control', {'lines': [[70, True]], 'rate_bp': 825}, [70, 6, 76]), ('normal control', {'lines': [[78656, True]], 'rate_bp': 1498}, [78656, 11783, 90439]), ('normal control', {'lines': [[74, True], [81059, True], [70668, True]], 'rate_bp': 825}, [151801, 12523, 164324]), ('normal control', {'lines': [[13, True]], 'rate_bp': 825}, [13, 1, 14])], [('regression', {'lines': [[-51735, False]], 'rate_bp': 2267}, [-51735, 0, -51735]), ('regression', {'lines': [[-42950, False], [83094, False], [74700, False], [-33526, False]], 'rate_bp': 725}, [81318, 0, 81318]), ('partial-repair probe', {'lines': [[53, True], [-19388, True], [67, True]], 'rate_bp': 2000}, [-19268, -3854, -23122]), ('partial-repair probe', {'lines': [[27, True], [-11860, True], [-39505, True], [21922, True]], 'rate_bp': 825}, [-29416, -2426, -31842]), ('normal control', {'lines': [[7, True]], 'rate_bp': 725}, [7, 1, 8]), ('normal control', {'lines': [[25, True]], 'rate_bp': 825}, [25, 2, 27]), ('normal control', {'lines': [[35, True]], 'rate_bp': 50}, [35, 0, 35]), ('normal control', {'lines': [[95, True]], 'rate_bp': 2000}, [95, 19, 114])], [('regression', {'lines': [[-42950, False], [83094, False], [74700, False], [-33526, False]], 'rate_bp': 725}, [81318, 0, 81318]), ('regression', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('partial-repair probe', {'lines': [[-17245, True], [79270, True], [25, True], [-36068, True]], 'rate_bp': 720}, [25982, 1870, 27852]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('normal control', {'lines': [[30480, True], [19, True], [32317, True]], 'rate_bp': 2002}, [62816, 12576, 75392]), ('normal control', {'lines': [[80389, True]], 'rate_bp': 725}, [80389, 5828, 86217]), ('normal control', {'lines': [[54, True], [71675, True]], 'rate_bp': 825}, [71729, 5917, 77646]), ('normal control', {'lines': [[5, True], [1, True], [7132, True]], 'rate_bp': 1000}, [7138, 714, 7852])], [('regression', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('regression', {'lines': [[30278, True], [-25624, False], [18105, True]], 'rate_bp': 50}, [22759, 242, 23001]), ('partial-repair probe', {'lines': [[74, True], [-48741, True], [16317, True], [-6432, True]], 'rate_bp': 1000}, [-38782, -3878, -42660]), ('partial-repair probe', {'lines': [[-7052, True]], 'rate_bp': 2000}, [-7052, -1410, -8462]), ('normal control', {'lines': [[32, True]], 'rate_bp': 725}, [32, 2, 34]), ('normal control', {'lines': [[79, True], [93, True]], 'rate_bp': 825}, [172, 15, 187]), ('normal control', {'lines': [[24815, True]], 'rate_bp': 1152}, [24815, 2859, 27674]), ('normal control', {'lines': [[6, True]], 'rate_bp': 825}, [6, 0, 6])], [('regression', {'lines': [[30278, True], [-25624, False], [18105, True]], 'rate_bp': 50}, [22759, 242, 23001]), ('regression', {'lines': [[73474, True], [48, False], [70693, False], [-3471, True]], 'rate_bp': 725}, [140744, 5075, 145819]), ('partial-repair probe', {'lines': [[-12837, True], [-41474, True], [88408, True], [-5186, False]], 'rate_bp': 1738}, [28911, 5926, 34837]), ('partial-repair probe', {'lines': [[49804, True], [5609, True], [29, True], [-28832, True]], 'rate_bp': 725}, [26610, 1930, 28540]), ('normal control', {'lines': [[54, True]], 'rate_bp': 725}, [54, 4, 58]), ('normal control', {'lines': [[78316, True], [34, True]], 'rate_bp': 2000}, [78350, 15670, 94020]), ('normal control', {'lines': [[79726, True]], 'rate_bp': 2000}, [79726, 15945, 95671]), ('normal control', {'lines': [[58, True], [26, True]], 'rate_bp': 1140}, [84, 10, 94])]]\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-subtotal-composition","generated_at":"2026-09-29T14:46:37.219579+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 subtotal composition step: use `sub = sum(a for a, t in x['lines'])`.","root_cause":"The subtotal only sums taxable lines.","sha256":"203e0b40cf0408b4c456e5da3eb8ef928f6ead3dfb921805f9246e26fa0e6054","title":"Sales tax on proration credit and debit lines: subtotal composition · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":39.244,"exit_code":1,"observations":[{"actual":[146548,579,147127],"check":"regression 0","expected":[97691,579,98270],"passed":false},{"actual":[0,0,0],"check":"regression 1","expected":[-51735,0,-51735],"passed":false},{"actual":[120,-3854,-3734],"check":"partial-repair probe 2","expected":[-19268,-3854,-23122],"passed":false},{"actual":[21949,-2426,19523],"check":"partial-repair probe 3","expected":[-29416,-2426,-31842],"passed":false},{"actual":[70,6,76],"check":"normal control 4","expected":[70,6,76],"passed":true},{"actual":[78656,11783,90439],"check":"normal control 5","expected":[78656,11783,90439],"passed":true},{"actual":[151801,12523,164324],"check":"normal control 6","expected":[151801,12523,164324],"passed":true},{"actual":[13,1,14],"check":"normal control 7","expected":[13,1,14],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [146548, 579, 147127], \"expected\": [97691, 579, 98270], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [0, 0, 0], \"expected\": [-51735, 0, -51735], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [120, -3854, -3734], \"expected\": [-19268, -3854, -23122], \"passed\": false}, {\"check\": \"partial-repair probe 3\", \"actual\": [21949, -2426, 19523], \"expected\": [-29416, -2426, -31842], \"passed\": false}, {\"check\": \"normal control 4\", \"actual\": [70, 6, 76], \"expected\": [70, 6, 76], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [78656, 11783, 90439], \"expected\": [78656, 11783, 90439], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [151801, 12523, 164324], \"expected\": [151801, 12523, 164324], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [13, 1, 14], \"expected\": [13, 1, 14], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.723,"exit_code":1,"observations":[{"actual":[115780,579,116359],"check":"regression 0","expected":[97691,579,98270],"passed":false},{"actual":[0,0,0],"check":"regression 1","expected":[-51735,0,-51735],"passed":false},{"actual":[-19268,-3854,-23122],"check":"partial-repair probe 2","expected":[-19268,-3854,-23122],"passed":true},{"actual":[-29416,-2426,-31842],"check":"partial-repair probe 3","expected":[-29416,-2426,-31842],"passed":true},{"actual":[70,6,76],"check":"normal control 4","expected":[70,6,76],"passed":true},{"actual":[78656,11783,90439],"check":"normal control 5","expected":[78656,11783,90439],"passed":true},{"actual":[151801,12523,164324],"check":"normal control 6","expected":[151801,12523,164324],"passed":true},{"actual":[13,1,14],"check":"normal control 7","expected":[13,1,14],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [115780, 579, 116359], \"expected\": [97691, 579, 98270], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [0, 0, 0], \"expected\": [-51735, 0, -51735], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [-19268, -3854, -23122], \"expected\": [-19268, -3854, -23122], \"passed\": true}, {\"check\": \"partial-repair probe 3\", \"actual\": [-29416, -2426, -31842], \"expected\": [-29416, -2426, -31842], \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": [70, 6, 76], \"expected\": [70, 6, 76], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [78656, 11783, 90439], \"expected\": [78656, 11783, 90439], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [151801, 12523, 164324], \"expected\": [151801, 12523, 164324], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [13, 1, 14], \"expected\": [13, 1, 14], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":40.919,"exit_code":0,"observations":[{"actual":[97691,579,98270],"check":"regression 0","expected":[97691,579,98270],"passed":true},{"actual":[-51735,0,-51735],"check":"regression 1","expected":[-51735,0,-51735],"passed":true},{"actual":[-19268,-3854,-23122],"check":"partial-repair probe 2","expected":[-19268,-3854,-23122],"passed":true},{"actual":[-29416,-2426,-31842],"check":"partial-repair probe 3","expected":[-29416,-2426,-31842],"passed":true},{"actual":[70,6,76],"check":"normal control 4","expected":[70,6,76],"passed":true},{"actual":[78656,11783,90439],"check":"normal control 5","expected":[78656,11783,90439],"passed":true},{"actual":[151801,12523,164324],"check":"normal control 6","expected":[151801,12523,164324],"passed":true},{"actual":[13,1,14],"check":"normal control 7","expected":[13,1,14],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [97691, 579, 98270], \"expected\": [97691, 579, 98270], \"passed\": true}, {\"check\": \"regression 1\", \"actual\": [-51735, 0, -51735], \"expected\": [-51735, 0, -51735], \"passed\": true}, {\"check\": \"partial-repair probe 2\", \"actual\": [-19268, -3854, -23122], \"expected\": [-19268, -3854, -23122], \"passed\": true}, {\"check\": \"partial-repair probe 3\", \"actual\": [-29416, -2426, -31842], \"expected\": [-29416, -2426, -31842], \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": [70, 6, 76], \"expected\": [70, 6, 76], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [78656, 11783, 90439], \"expected\": [78656, 11783, 90439], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [151801, 12523, 164324], \"expected\": [151801, 12523, 164324], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [13, 1, 14], \"expected\": [13, 1, 14], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}