{"abstract":"Loans configured to round the payment up get a payment rounded down.","category":"Loan amortization schedules","checks":7,"contract":"x = {'principal', 'rate_bp' (annual, monthly rate = bp/120000), 'months', 'round': 'nearest'|'up'}. The exact annuity payment P*r/(1-(1+r)^-n) (P/n at zero rate) is rounded half-up ('nearest') or up to the cent. Monthly interest is round_half_up(balance*bp/120000); months 1..n-1 pay the level payment and month n pays balance + interest. Return {'payment', 'final_payment', 'total_interest'}.","contract_signature":"x","evaluation_group":"w2-loan-amortization-schedules-level-payment-and-final-adjustment","failed_approach":"Rounding to nearest still rounds down whenever the fraction is below half a cent.","family":"w2-loan-amortization-schedules-level-payment-and-final-adjustment-round-up-mode","id":"FA-58356","implementations":{"attempt":{"sha256":"a1455b4ba66796bb36cc4a89ef4dc69a919db6f6bc611f91f4e6b3cfcca75a5e","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(x):\n    P = x['principal']\n    n = x['months']\n    bp = x['rate_bp']\n    if bp == 0:\n        exact = Fraction(P, n)\n    else:\n        r = Fraction(bp, 120000)\n        exact = P * r / (1 - (1 + r) ** -n)\n    if x['round'] == 'up':\n        pay = round(exact)\n    else:\n        pay = math.floor(exact + Fraction(1, 2))\n    bal = P\n    total_int = 0\n    last = 0\n    for k in range(1, n + 1):\n        q, rem = divmod(bal * bp, 120000)\n        interest = q + (1 if 2 * rem >= 120000 else 0)\n        total_int += interest\n        if k == n:\n            last = bal + interest\n        else:\n            bal = bal + interest - pay\n    return {'payment': pay, 'final_payment': last, 'total_interest': total_int}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression: round-up mode', {'principal': 7, 'rate_bp': 725, 'months': 360, 'round': 'up'}, {'payment': 1, 'final_payment': -1123, 'total_interest': -771}], ['control 1', {'principal': 12345, 'rate_bp': 1200, 'months': 1, 'round': 'nearest'}, {'payment': 12468, 'final_payment': 12468, 'total_interest': 123}], ['control 2', {'principal': 999999, 'rate_bp': 0, 'months': 60, 'round': 'nearest'}, {'payment': 16667, 'final_payment': 16646, 'total_interest': 0}], ['control 3', {'principal': 1000000, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333334, 'total_interest': 0}], ['control 4', {'principal': 1000000, 'rate_bp': 1200, 'months': 360, 'round': 'nearest'}, {'payment': 10286, 'final_payment': 10743, 'total_interest': 2703417}], ['control 5', {'principal': 100000, 'rate_bp': 725, 'months': 360, 'round': 'nearest'}, {'payment': 682, 'final_payment': 923, 'total_interest': 145761}], ['control 6', {'principal': 100000, 'rate_bp': 725, 'months': 36, 'round': 'nearest'}, {'payment': 3099, 'final_payment': 3106, 'total_interest': 11571}]], [['regression: round-up mode', {'principal': 500, 'rate_bp': 13, 'months': 3, 'round': 'up'}, {'payment': 167, 'final_payment': 166, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 100000, 'rate_bp': 499, 'months': 2, 'round': 'up'}, {'payment': 50313, 'final_payment': 50311, 'total_interest': 624}], ['control 1', {'principal': 2500000, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 861250, 'final_payment': 861251, 'total_interest': 83751}], ['control 2', {'principal': 999999, 'rate_bp': 725, 'months': 360, 'round': 'nearest'}, {'payment': 6822, 'final_payment': 6503, 'total_interest': 1455602}], ['control 3', {'principal': 7, 'rate_bp': 0, 'months': 60, 'round': 'nearest'}, {'payment': 0, 'final_payment': 7, 'total_interest': 0}], ['control 4', {'principal': 999999, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333333, 'total_interest': 0}], ['control 5', {'principal': 999999, 'rate_bp': 0, 'months': 36, 'round': 'nearest'}, {'payment': 27778, 'final_payment': 27769, 'total_interest': 0}]], [['regression: round-up mode', {'principal': 12345, 'rate_bp': 0, 'months': 12, 'round': 'up'}, {'payment': 1029, 'final_payment': 1026, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 2500000, 'rate_bp': 13, 'months': 360, 'round': 'up'}, {'payment': 7082, 'final_payment': 6755, 'total_interest': 49193}], ['control 1', {'principal': 2500000, 'rate_bp': 13, 'months': 1, 'round': 'nearest'}, {'payment': 2500271, 'final_payment': 2500271, 'total_interest': 271}], ['control 2', {'principal': 100000, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 34450, 'final_payment': 34450, 'total_interest': 3350}], ['control 3', {'principal': 999999, 'rate_bp': 0, 'months': 12, 'round': 'nearest'}, {'payment': 83333, 'final_payment': 83336, 'total_interest': 0}], ['control 4', {'principal': 500, 'rate_bp': 1200, 'months': 3, 'round': 'nearest'}, {'payment': 170, 'final_payment': 170, 'total_interest': 10}], ['control 5', {'principal': 1000000, 'rate_bp': 1200, 'months': 7, 'round': 'nearest'}, {'payment': 148628, 'final_payment': 148631, 'total_interest': 40399}]], [['regression: round-up mode', {'principal': 7, 'rate_bp': 13, 'months': 12, 'round': 'up'}, {'payment': 1, 'final_payment': -4, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 500, 'rate_bp': 725, 'months': 7, 'round': 'up'}, {'payment': 74, 'final_payment': 68, 'total_interest': 12}], ['control 1', {'principal': 500, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 172, 'final_payment': 173, 'total_interest': 17}], ['control 2', {'principal': 7, 'rate_bp': 1999, 'months': 7, 'round': 'nearest'}, {'payment': 1, 'final_payment': 1, 'total_interest': 0}], ['control 3', {'principal': 30000000, 'rate_bp': 0, 'months': 360, 'round': 'nearest'}, {'payment': 83333, 'final_payment': 83453, 'total_interest': 0}], ['control 4', {'principal': 999999, 'rate_bp': 13, 'months': 2, 'round': 'nearest'}, {'payment': 500081, 'final_payment': 500080, 'total_interest': 162}], ['control 5', {'principal': 999999, 'rate_bp': 1200, 'months': 7, 'round': 'nearest'}, {'payment': 148628, 'final_payment': 148630, 'total_interest': 40399}]], [['regression: round-up mode', {'principal': 7, 'rate_bp': 600, 'months': 360, 'round': 'up'}, {'payment': 1, 'final_payment': -876, 'total_interest': -524}], ['control 1', {'principal': 30000000, 'rate_bp': 499, 'months': 2, 'round': 'nearest'}, {'payment': 15093627, 'final_payment': 15093627, 'total_interest': 187254}], ['control 2', {'principal': 999999, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333333, 'total_interest': 0}], ['control 3', {'principal': 500, 'rate_bp': 0, 'months': 2, 'round': 'up'}, {'payment': 250, 'final_payment': 250, 'total_interest': 0}], ['control 4', {'principal': 2500000, 'rate_bp': 499, 'months': 1, 'round': 'nearest'}, {'payment': 2510396, 'final_payment': 2510396, 'total_interest': 10396}], ['control 5', {'principal': 2500000, 'rate_bp': 13, 'months': 360, 'round': 'nearest'}, {'payment': 7081, 'final_payment': 7125, 'total_interest': 49204}], ['control 6', {'principal': 999999, 'rate_bp': 725, 'months': 12, 'round': 'nearest'}, {'payment': 86642, 'final_payment': 86643, 'total_interest': 39706}]]]\nfor label, args, expected in fixtures[N-1]:\n    try:\n        actual = solve(args)\n    except Exception as exc:\n        actual = 'raised ' + type(exc).__name__\n    check(label, actual, 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":"4147b39fba38b31707b138b9a8dc9956db3ec1b9984aae879098b8af4d40d59b","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(x):\n    P = x['principal']\n    n = x['months']\n    bp = x['rate_bp']\n    if bp == 0:\n        exact = Fraction(P, n)\n    else:\n        r = Fraction(bp, 120000)\n        exact = P * r / (1 - (1 + r) ** -n)\n    if x['round'] == 'up':\n        pay = math.floor(exact)\n    else:\n        pay = math.floor(exact + Fraction(1, 2))\n    bal = P\n    total_int = 0\n    last = 0\n    for k in range(1, n + 1):\n        q, rem = divmod(bal * bp, 120000)\n        interest = q + (1 if 2 * rem >= 120000 else 0)\n        total_int += interest\n        if k == n:\n            last = bal + interest\n        else:\n            bal = bal + interest - pay\n    return {'payment': pay, 'final_payment': last, 'total_interest': total_int}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression: round-up mode', {'principal': 7, 'rate_bp': 725, 'months': 360, 'round': 'up'}, {'payment': 1, 'final_payment': -1123, 'total_interest': -771}], ['control 1', {'principal': 12345, 'rate_bp': 1200, 'months': 1, 'round': 'nearest'}, {'payment': 12468, 'final_payment': 12468, 'total_interest': 123}], ['control 2', {'principal': 999999, 'rate_bp': 0, 'months': 60, 'round': 'nearest'}, {'payment': 16667, 'final_payment': 16646, 'total_interest': 0}], ['control 3', {'principal': 1000000, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333334, 'total_interest': 0}], ['control 4', {'principal': 1000000, 'rate_bp': 1200, 'months': 360, 'round': 'nearest'}, {'payment': 10286, 'final_payment': 10743, 'total_interest': 2703417}], ['control 5', {'principal': 100000, 'rate_bp': 725, 'months': 360, 'round': 'nearest'}, {'payment': 682, 'final_payment': 923, 'total_interest': 145761}], ['control 6', {'principal': 100000, 'rate_bp': 725, 'months': 36, 'round': 'nearest'}, {'payment': 3099, 'final_payment': 3106, 'total_interest': 11571}]], [['regression: round-up mode', {'principal': 500, 'rate_bp': 13, 'months': 3, 'round': 'up'}, {'payment': 167, 'final_payment': 166, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 100000, 'rate_bp': 499, 'months': 2, 'round': 'up'}, {'payment': 50313, 'final_payment': 50311, 'total_interest': 624}], ['control 1', {'principal': 2500000, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 861250, 'final_payment': 861251, 'total_interest': 83751}], ['control 2', {'principal': 999999, 'rate_bp': 725, 'months': 360, 'round': 'nearest'}, {'payment': 6822, 'final_payment': 6503, 'total_interest': 1455602}], ['control 3', {'principal': 7, 'rate_bp': 0, 'months': 60, 'round': 'nearest'}, {'payment': 0, 'final_payment': 7, 'total_interest': 0}], ['control 4', {'principal': 999999, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333333, 'total_interest': 0}], ['control 5', {'principal': 999999, 'rate_bp': 0, 'months': 36, 'round': 'nearest'}, {'payment': 27778, 'final_payment': 27769, 'total_interest': 0}]], [['regression: round-up mode', {'principal': 12345, 'rate_bp': 0, 'months': 12, 'round': 'up'}, {'payment': 1029, 'final_payment': 1026, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 2500000, 'rate_bp': 13, 'months': 360, 'round': 'up'}, {'payment': 7082, 'final_payment': 6755, 'total_interest': 49193}], ['control 1', {'principal': 2500000, 'rate_bp': 13, 'months': 1, 'round': 'nearest'}, {'payment': 2500271, 'final_payment': 2500271, 'total_interest': 271}], ['control 2', {'principal': 100000, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 34450, 'final_payment': 34450, 'total_interest': 3350}], ['control 3', {'principal': 999999, 'rate_bp': 0, 'months': 12, 'round': 'nearest'}, {'payment': 83333, 'final_payment': 83336, 'total_interest': 0}], ['control 4', {'principal': 500, 'rate_bp': 1200, 'months': 3, 'round': 'nearest'}, {'payment': 170, 'final_payment': 170, 'total_interest': 10}], ['control 5', {'principal': 1000000, 'rate_bp': 1200, 'months': 7, 'round': 'nearest'}, {'payment': 148628, 'final_payment': 148631, 'total_interest': 40399}]], [['regression: round-up mode', {'principal': 7, 'rate_bp': 13, 'months': 12, 'round': 'up'}, {'payment': 1, 'final_payment': -4, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 500, 'rate_bp': 725, 'months': 7, 'round': 'up'}, {'payment': 74, 'final_payment': 68, 'total_interest': 12}], ['control 1', {'principal': 500, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 172, 'final_payment': 173, 'total_interest': 17}], ['control 2', {'principal': 7, 'rate_bp': 1999, 'months': 7, 'round': 'nearest'}, {'payment': 1, 'final_payment': 1, 'total_interest': 0}], ['control 3', {'principal': 30000000, 'rate_bp': 0, 'months': 360, 'round': 'nearest'}, {'payment': 83333, 'final_payment': 83453, 'total_interest': 0}], ['control 4', {'principal': 999999, 'rate_bp': 13, 'months': 2, 'round': 'nearest'}, {'payment': 500081, 'final_payment': 500080, 'total_interest': 162}], ['control 5', {'principal': 999999, 'rate_bp': 1200, 'months': 7, 'round': 'nearest'}, {'payment': 148628, 'final_payment': 148630, 'total_interest': 40399}]], [['regression: round-up mode', {'principal': 7, 'rate_bp': 600, 'months': 360, 'round': 'up'}, {'payment': 1, 'final_payment': -876, 'total_interest': -524}], ['control 1', {'principal': 30000000, 'rate_bp': 499, 'months': 2, 'round': 'nearest'}, {'payment': 15093627, 'final_payment': 15093627, 'total_interest': 187254}], ['control 2', {'principal': 999999, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333333, 'total_interest': 0}], ['control 3', {'principal': 500, 'rate_bp': 0, 'months': 2, 'round': 'up'}, {'payment': 250, 'final_payment': 250, 'total_interest': 0}], ['control 4', {'principal': 2500000, 'rate_bp': 499, 'months': 1, 'round': 'nearest'}, {'payment': 2510396, 'final_payment': 2510396, 'total_interest': 10396}], ['control 5', {'principal': 2500000, 'rate_bp': 13, 'months': 360, 'round': 'nearest'}, {'payment': 7081, 'final_payment': 7125, 'total_interest': 49204}], ['control 6', {'principal': 999999, 'rate_bp': 725, 'months': 12, 'round': 'nearest'}, {'payment': 86642, 'final_payment': 86643, 'total_interest': 39706}]]]\nfor label, args, expected in fixtures[N-1]:\n    try:\n        actual = solve(args)\n    except Exception as exc:\n        actual = 'raised ' + type(exc).__name__\n    check(label, actual, 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 with stipulated toy lending rules stated in the contract; money is integer cents and rates are basis points; it makes no claim of conformance to any regulation, servicing standard or product. 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-loan-amortization-schedules-level-payment-and-final-adjustment-round-up-mode","generated_at":"2026-09-29T14:46:25.966305+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Amortization engines drive borrower statements, payoff quotes and investor remittances; a misplaced rounding step, boundary or ordering rule compounds across hundreds of periods.","root_cause":"The up mode floors the exact payment.","sha256":"e56c7db563afb5683c3c30708a187ee00a44ed9d3823b60220ea03fbd680f4ae","title":"Level payment with final adjustment: round-up mode · 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":44.765,"exit_code":1,"observations":[{"actual":{"final_payment":7,"payment":0,"total_interest":0},"check":"regression: round-up mode","expected":{"final_payment":-1123,"payment":1,"total_interest":-771},"passed":false},{"actual":{"final_payment":12468,"payment":12468,"total_interest":123},"check":"control 1","expected":{"final_payment":12468,"payment":12468,"total_interest":123},"passed":true},{"actual":{"final_payment":16646,"payment":16667,"total_interest":0},"check":"control 2","expected":{"final_payment":16646,"payment":16667,"total_interest":0},"passed":true},{"actual":{"final_payment":333334,"payment":333333,"total_interest":0},"check":"control 3","expected":{"final_payment":333334,"payment":333333,"total_interest":0},"passed":true},{"actual":{"final_payment":10743,"payment":10286,"total_interest":2703417},"check":"control 4","expected":{"final_payment":10743,"payment":10286,"total_interest":2703417},"passed":true},{"actual":{"final_payment":923,"payment":682,"total_interest":145761},"check":"control 5","expected":{"final_payment":923,"payment":682,"total_interest":145761},"passed":true},{"actual":{"final_payment":3106,"payment":3099,"total_interest":11571},"check":"control 6","expected":{"final_payment":3106,"payment":3099,"total_interest":11571},"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: round-up mode\", \"actual\": {\"payment\": 0, \"final_payment\": 7, \"total_interest\": 0}, \"expected\": {\"payment\": 1, \"final_payment\": -1123, \"total_interest\": -771}, \"passed\": false}, {\"check\": \"control 1\", \"actual\": {\"payment\": 12468, \"final_payment\": 12468, \"total_interest\": 123}, \"expected\": {\"payment\": 12468, \"final_payment\": 12468, \"total_interest\": 123}, \"passed\": true}, {\"check\": \"control 2\", \"actual\": {\"payment\": 16667, \"final_payment\": 16646, \"total_interest\": 0}, \"expected\": {\"payment\": 16667, \"final_payment\": 16646, \"total_interest\": 0}, \"passed\": true}, {\"check\": \"control 3\", \"actual\": {\"payment\": 333333, \"final_payment\": 333334, \"total_interest\": 0}, \"expected\": {\"payment\": 333333, \"final_payment\": 333334, \"total_interest\": 0}, \"passed\": true}, {\"check\": \"control 4\", \"actual\": {\"payment\": 10286, \"final_payment\": 10743, \"total_interest\": 2703417}, \"expected\": {\"payment\": 10286, \"final_payment\": 10743, \"total_interest\": 2703417}, \"passed\": true}, {\"check\": \"control 5\", \"actual\": {\"payment\": 682, \"final_payment\": 923, \"total_interest\": 145761}, \"expected\": {\"payment\": 682, \"final_payment\": 923, \"total_interest\": 145761}, \"passed\": true}, {\"check\": \"control 6\", \"actual\": {\"payment\": 3099, \"final_payment\": 3106, \"total_interest\": 11571}, \"expected\": {\"payment\": 3099, \"final_payment\": 3106, \"total_interest\": 11571}, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":44.12,"exit_code":1,"observations":[{"actual":{"final_payment":7,"payment":0,"total_interest":0},"check":"regression: round-up mode","expected":{"final_payment":-1123,"payment":1,"total_interest":-771},"passed":false},{"actual":{"final_payment":12468,"payment":12468,"total_interest":123},"check":"control 1","expected":{"final_payment":12468,"payment":12468,"total_interest":123},"passed":true},{"actual":{"final_payment":16646,"payment":16667,"total_interest":0},"check":"control 2","expected":{"final_payment":16646,"payment":16667,"total_interest":0},"passed":true},{"actual":{"final_payment":333334,"payment":333333,"total_interest":0},"check":"control 3","expected":{"final_payment":333334,"payment":333333,"total_interest":0},"passed":true},{"actual":{"final_payment":10743,"payment":10286,"total_interest":2703417},"check":"control 4","expected":{"final_payment":10743,"payment":10286,"total_interest":2703417},"passed":true},{"actual":{"final_payment":923,"payment":682,"total_interest":145761},"check":"control 5","expected":{"final_payment":923,"payment":682,"total_interest":145761},"passed":true},{"actual":{"final_payment":3106,"payment":3099,"total_interest":11571},"check":"control 6","expected":{"final_payment":3106,"payment":3099,"total_interest":11571},"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: round-up mode\", \"actual\": {\"payment\": 0, \"final_payment\": 7, \"total_interest\": 0}, \"expected\": {\"payment\": 1, \"final_payment\": -1123, \"total_interest\": -771}, \"passed\": false}, {\"check\": \"control 1\", \"actual\": {\"payment\": 12468, \"final_payment\": 12468, \"total_interest\": 123}, \"expected\": {\"payment\": 12468, \"final_payment\": 12468, \"total_interest\": 123}, \"passed\": true}, {\"check\": \"control 2\", \"actual\": {\"payment\": 16667, \"final_payment\": 16646, \"total_interest\": 0}, \"expected\": {\"payment\": 16667, \"final_payment\": 16646, \"total_interest\": 0}, \"passed\": true}, {\"check\": \"control 3\", \"actual\": {\"payment\": 333333, \"final_payment\": 333334, \"total_interest\": 0}, \"expected\": {\"payment\": 333333, \"final_payment\": 333334, \"total_interest\": 0}, \"passed\": true}, {\"check\": \"control 4\", \"actual\": {\"payment\": 10286, \"final_payment\": 10743, \"total_interest\": 2703417}, \"expected\": {\"payment\": 10286, \"final_payment\": 10743, \"total_interest\": 2703417}, \"passed\": true}, {\"check\": \"control 5\", \"actual\": {\"payment\": 682, \"final_payment\": 923, \"total_interest\": 145761}, \"expected\": {\"payment\": 682, \"final_payment\": 923, \"total_interest\": 145761}, \"passed\": true}, {\"check\": \"control 6\", \"actual\": {\"payment\": 3099, \"final_payment\": 3106, \"total_interest\": 11571}, \"expected\": {\"payment\": 3099, \"final_payment\": 3106, \"total_interest\": 11571}, \"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."}}