{"abstract":"A 10% safety margin adds only 10 metres to a 2000 metre sweater.","category":"Knitting and sewing pattern grading","checks":8,"contract":"grams = garment_area / swatch_area * swatch_g; meters = grams * skein_m/skein_g; add margin_pct as a multiplier (meters*(1+margin/100)). skeins = ceiling(meters/skein_m); leftover = skeins*skein_m - meters. Return [meters, skeins, leftover] with meters and leftover half-up integers. Non-positive swatch area or skein weight -> \"error: swatch\".","evaluation_group":"w2-knitting_and_sewing_pattern_grading-yardage-estimate","failed_approach":"Dividing by (1 - margin) is a markup-versus-margin confusion that over-buys.","family":"w2-knitting_and_sewing_pattern_grading-yardage-estimate-safety-margin","id":"FA-97421","implementations":{"attempt":{"sha256":"28f50a119ea0aece43026d2a77b059c892007f29304d2174f1ac8e064c24accc","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(swatch_g, swatch_w_cm, swatch_h_cm, garment_area_cm2, skein_g, skein_m, margin_pct):\n    sw_area = Fraction(str(swatch_w_cm)) * Fraction(str(swatch_h_cm))\n    if sw_area <= 0 or skein_g <= 0:\n        return 'error: swatch'\n    grams = Fraction(str(garment_area_cm2)) / sw_area * Fraction(str(swatch_g))\n    meters = grams * Fraction(skein_m, skein_g)\n    meters = meters / (1 - Fraction(margin_pct, 100))\n    skeins = math.ceil(meters / skein_m)\n    leftover = skeins * skein_m - meters\n    return [math.floor(meters + Fraction(1, 2)), skeins, math.floor(leftover + Fraction(1, 2))]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['regression: safety margin', [15, 12, 12, 6000, 50, 150, 10], [2063, 14, 38]],\n  ['repair check: safety margin', [20, 12, 12, 3000, 100, 125, 15], [599, 5, 26]],\n  ['generated control 1', [8, 10, 15, 4800, 50, 100, 15], [589, 6, 11]],\n  ['generated control 2', [20, 12, 15, 2400, 50, 100, 15], [613, 7, 87]],\n  ['generated control 3', [15, 10, 12, 4800, 50, 150, 0], [1800, 12, 0]]],\n [['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['regression: safety margin', [20, 12, 10, 1500, 100, 125, 20], [375, 3, 0]],\n  ['repair check: safety margin', [10, 10, 15, 2000, 100, 125, 15], [192, 2, 58]],\n  ['generated control 1', [12, 12, 12, 2000, 50, 100, 20], [400, 4, 0]],\n  ['generated control 2', [20, 15, 15, 4800, 100, 400, 20], [2048, 6, 352]],\n  ['generated control 3', [8, 10, 15, 2400, 50, 100, 0], [256, 3, 44]]],\n [['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['regression: safety margin', [10, 10, 12, 1500, 100, 150, 10], [206, 2, 94]],\n  ['repair check: safety margin', [8, 12, 10, 9000, 50, 150, 10], [1980, 14, 120]],\n  ['generated control 1', [20, 10, 15, 6000, 50, 150, 0], [2400, 16, 0]],\n  ['generated control 2', [10, 10, 12, 4800, 100, 100, 0], [400, 4, 0]],\n  ['generated control 3', [12, 10, 15, 2000, 50, 400, 10], [1408, 4, 192]]],\n [['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['regression: safety margin', [15, 12, 10, 9000, 100, 150, 15], [1941, 13, 9]],\n  ['repair check: safety margin', [15, 10, 15, 2400, 50, 125, 10], [660, 6, 90]],\n  ['generated control 1', [10, 10, 12, 4800, 100, 125, 20], [600, 5, 25]],\n  ['generated control 2', [15, 15, 12, 2000, 100, 150, 15], [288, 2, 13]],\n  ['generated control 3', [20, 12, 12, 6000, 50, 125, 10], [2292, 19, 83]]],\n [['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['regression: safety margin', [20, 10, 12, 3000, 100, 150, 20], [900, 6, 0]],\n  ['repair check: safety margin', [8, 12, 10, 2000, 100, 100, 10], [147, 2, 53]],\n  ['generated control 1', [12, 12, 10, 9000, 100, 150, 0], [1350, 9, 0]],\n  ['generated control 2', [8, 15, 15, 3000, 100, 125, 0], [133, 2, 117]],\n  ['generated control 3', [8, 12, 15, 3000, 50, 200, 10], [587, 3, 13]]]]\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":"bbd0d33f33b7d7a99ced78a2a50132ba4bc195b448a7abe0875fa82d7699ea17","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(swatch_g, swatch_w_cm, swatch_h_cm, garment_area_cm2, skein_g, skein_m, margin_pct):\n    sw_area = Fraction(str(swatch_w_cm)) * Fraction(str(swatch_h_cm))\n    if sw_area <= 0 or skein_g <= 0:\n        return 'error: swatch'\n    grams = Fraction(str(garment_area_cm2)) / sw_area * Fraction(str(swatch_g))\n    meters = grams * Fraction(skein_m, skein_g)\n    meters = meters + margin_pct\n    skeins = math.ceil(meters / skein_m)\n    leftover = skeins * skein_m - meters\n    return [math.floor(meters + Fraction(1, 2)), skeins, math.floor(leftover + Fraction(1, 2))]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['regression: safety margin', [15, 12, 12, 6000, 50, 150, 10], [2063, 14, 38]],\n  ['repair check: safety margin', [20, 12, 12, 3000, 100, 125, 15], [599, 5, 26]],\n  ['generated control 1', [8, 10, 15, 4800, 50, 100, 15], [589, 6, 11]],\n  ['generated control 2', [20, 12, 15, 2400, 50, 100, 15], [613, 7, 87]],\n  ['generated control 3', [15, 10, 12, 4800, 50, 150, 0], [1800, 12, 0]]],\n [['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['regression: safety margin', [20, 12, 10, 1500, 100, 125, 20], [375, 3, 0]],\n  ['repair check: safety margin', [10, 10, 15, 2000, 100, 125, 15], [192, 2, 58]],\n  ['generated control 1', [12, 12, 12, 2000, 50, 100, 20], [400, 4, 0]],\n  ['generated control 2', [20, 15, 15, 4800, 100, 400, 20], [2048, 6, 352]],\n  ['generated control 3', [8, 10, 15, 2400, 50, 100, 0], [256, 3, 44]]],\n [['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['regression: safety margin', [10, 10, 12, 1500, 100, 150, 10], [206, 2, 94]],\n  ['repair check: safety margin', [8, 12, 10, 9000, 50, 150, 10], [1980, 14, 120]],\n  ['generated control 1', [20, 10, 15, 6000, 50, 150, 0], [2400, 16, 0]],\n  ['generated control 2', [10, 10, 12, 4800, 100, 100, 0], [400, 4, 0]],\n  ['generated control 3', [12, 10, 15, 2000, 50, 400, 10], [1408, 4, 192]]],\n [['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['regression: safety margin', [15, 12, 10, 9000, 100, 150, 15], [1941, 13, 9]],\n  ['repair check: safety margin', [15, 10, 15, 2400, 50, 125, 10], [660, 6, 90]],\n  ['generated control 1', [10, 10, 12, 4800, 100, 125, 20], [600, 5, 25]],\n  ['generated control 2', [15, 15, 12, 2000, 100, 150, 15], [288, 2, 13]],\n  ['generated control 3', [20, 12, 12, 6000, 50, 125, 10], [2292, 19, 83]]],\n [['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['regression: safety margin', [20, 10, 12, 3000, 100, 150, 20], [900, 6, 0]],\n  ['repair check: safety margin', [8, 12, 10, 2000, 100, 100, 10], [147, 2, 53]],\n  ['generated control 1', [12, 12, 10, 9000, 100, 150, 0], [1350, 9, 0]],\n  ['generated control 2', [8, 15, 15, 3000, 100, 125, 0], [133, 2, 117]],\n  ['generated control 3', [8, 12, 15, 3000, 50, 200, 10], [587, 3, 13]]]]\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"},"fixed":{"sha256":"e936cb1f10c659514947701cf11f679a7bdb9366d1913962432ff05cabf25702","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(swatch_g, swatch_w_cm, swatch_h_cm, garment_area_cm2, skein_g, skein_m, margin_pct):\n    sw_area = Fraction(str(swatch_w_cm)) * Fraction(str(swatch_h_cm))\n    if sw_area <= 0 or skein_g <= 0:\n        return 'error: swatch'\n    grams = Fraction(str(garment_area_cm2)) / sw_area * Fraction(str(swatch_g))\n    meters = grams * Fraction(skein_m, skein_g)\n    meters = meters * (1 + Fraction(margin_pct, 100))\n    skeins = math.ceil(meters / skein_m)\n    leftover = skeins * skein_m - meters\n    return [math.floor(meters + Fraction(1, 2)), skeins, math.floor(leftover + Fraction(1, 2))]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['regression: safety margin', [15, 12, 12, 6000, 50, 150, 10], [2063, 14, 38]],\n  ['repair check: safety margin', [20, 12, 12, 3000, 100, 125, 15], [599, 5, 26]],\n  ['generated control 1', [8, 10, 15, 4800, 50, 100, 15], [589, 6, 11]],\n  ['generated control 2', [20, 12, 15, 2400, 50, 100, 15], [613, 7, 87]],\n  ['generated control 3', [15, 10, 12, 4800, 50, 150, 0], [1800, 12, 0]]],\n [['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['regression: safety margin', [20, 12, 10, 1500, 100, 125, 20], [375, 3, 0]],\n  ['repair check: safety margin', [10, 10, 15, 2000, 100, 125, 15], [192, 2, 58]],\n  ['generated control 1', [12, 12, 12, 2000, 50, 100, 20], [400, 4, 0]],\n  ['generated control 2', [20, 15, 15, 4800, 100, 400, 20], [2048, 6, 352]],\n  ['generated control 3', [8, 10, 15, 2400, 50, 100, 0], [256, 3, 44]]],\n [['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['regression: safety margin', [10, 10, 12, 1500, 100, 150, 10], [206, 2, 94]],\n  ['repair check: safety margin', [8, 12, 10, 9000, 50, 150, 10], [1980, 14, 120]],\n  ['generated control 1', [20, 10, 15, 6000, 50, 150, 0], [2400, 16, 0]],\n  ['generated control 2', [10, 10, 12, 4800, 100, 100, 0], [400, 4, 0]],\n  ['generated control 3', [12, 10, 15, 2000, 50, 400, 10], [1408, 4, 192]]],\n [['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['regression: safety margin', [15, 12, 10, 9000, 100, 150, 15], [1941, 13, 9]],\n  ['repair check: safety margin', [15, 10, 15, 2400, 50, 125, 10], [660, 6, 90]],\n  ['generated control 1', [10, 10, 12, 4800, 100, 125, 20], [600, 5, 25]],\n  ['generated control 2', [15, 15, 12, 2000, 100, 150, 15], [288, 2, 13]],\n  ['generated control 3', [20, 12, 12, 6000, 50, 125, 10], [2292, 19, 83]]],\n [['with margin', [12, 10, 12, 4800, 50, 125, 10], [1320, 11, 55]],\n  ['zero swatch', [10, 0, 10, 2000, 100, 200, 0], 'error: swatch'],\n  ['exact two skeins', [10, 10, 10, 2000, 100, 200, 0], [400, 2, 0]],\n  ['regression: safety margin', [20, 10, 12, 3000, 100, 150, 20], [900, 6, 0]],\n  ['repair check: safety margin', [8, 12, 10, 2000, 100, 100, 10], [147, 2, 53]],\n  ['generated control 1', [12, 12, 10, 9000, 100, 150, 0], [1350, 9, 0]],\n  ['generated control 2', [8, 15, 15, 3000, 100, 125, 0], [133, 2, 117]],\n  ['generated control 3', [8, 12, 15, 3000, 50, 200, 10], [587, 3, 13]]]]\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 toy contract stated in full here; it is a bounded teaching model, not an authoritative reference or standards implementation. 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-knitting_and_sewing_pattern_grading-yardage-estimate-safety-margin","generated_at":"2026-09-29T14:52:32.063720+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Designers and knitters estimate how many skeins to buy from a weighed swatch.","repair":"Multiply metres by (1 + margin/100).","root_cause":"The margin percentage is added as metres.","sha256":"5a11f816ffd79264eed68e0c95853677f5d7faf5956ae97bd7aa055a6a439ec7","title":"Yarn yardage estimator: safety margin · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":47.015,"exit_code":1,"observations":[{"actual":[400,2,0],"check":"exact two skeins","expected":[400,2,0],"passed":true},{"actual":[1333,11,42],"check":"with margin","expected":[1320,11,55],"passed":false},{"actual":"error: swatch","check":"zero swatch","expected":"error: swatch","passed":true},{"actual":[2083,14,17],"check":"regression: safety margin","expected":[2063,14,38],"passed":false},{"actual":[613,5,12],"check":"repair check: safety margin","expected":[599,5,26],"passed":false},{"actual":[602,7,98],"check":"generated control 1","expected":[589,6,11],"passed":false},{"actual":[627,7,73],"check":"generated control 2","expected":[613,7,87],"passed":false},{"actual":[1800,12,0],"check":"generated control 3","expected":[1800,12,0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"exact two skeins\", \"actual\": [400, 2, 0], \"expected\": [400, 2, 0], \"passed\": true}, {\"check\": \"with margin\", \"actual\": [1333, 11, 42], \"expected\": [1320, 11, 55], \"passed\": false}, {\"check\": \"zero swatch\", \"actual\": \"error: swatch\", \"expected\": \"error: swatch\", \"passed\": true}, {\"check\": \"regression: safety margin\", \"actual\": [2083, 14, 17], \"expected\": [2063, 14, 38], \"passed\": false}, {\"check\": \"repair check: safety margin\", \"actual\": [613, 5, 12], \"expected\": [599, 5, 26], \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": [602, 7, 98], \"expected\": [589, 6, 11], \"passed\": false}, {\"check\": \"generated control 2\", \"actual\": [627, 7, 73], \"expected\": [613, 7, 87], \"passed\": false}, {\"check\": \"generated control 3\", \"actual\": [1800, 12, 0], \"expected\": [1800, 12, 0], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.815,"exit_code":1,"observations":[{"actual":[400,2,0],"check":"exact two skeins","expected":[400,2,0],"passed":true},{"actual":[1210,10,40],"check":"with margin","expected":[1320,11,55],"passed":false},{"actual":"error: swatch","check":"zero swatch","expected":"error: swatch","passed":true},{"actual":[1885,13,65],"check":"regression: safety margin","expected":[2063,14,38],"passed":false},{"actual":[536,5,89],"check":"repair check: safety margin","expected":[599,5,26],"passed":false},{"actual":[527,6,73],"check":"generated control 1","expected":[589,6,11],"passed":false},{"actual":[548,6,52],"check":"generated control 2","expected":[613,7,87],"passed":false},{"actual":[1800,12,0],"check":"generated control 3","expected":[1800,12,0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"exact two skeins\", \"actual\": [400, 2, 0], \"expected\": [400, 2, 0], \"passed\": true}, {\"check\": \"with margin\", \"actual\": [1210, 10, 40], \"expected\": [1320, 11, 55], \"passed\": false}, {\"check\": \"zero swatch\", \"actual\": \"error: swatch\", \"expected\": \"error: swatch\", \"passed\": true}, {\"check\": \"regression: safety margin\", \"actual\": [1885, 13, 65], \"expected\": [2063, 14, 38], \"passed\": false}, {\"check\": \"repair check: safety margin\", \"actual\": [536, 5, 89], \"expected\": [599, 5, 26], \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": [527, 6, 73], \"expected\": [589, 6, 11], \"passed\": false}, {\"check\": \"generated control 2\", \"actual\": [548, 6, 52], \"expected\": [613, 7, 87], \"passed\": false}, {\"check\": \"generated control 3\", \"actual\": [1800, 12, 0], \"expected\": [1800, 12, 0], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":43.857,"exit_code":0,"observations":[{"actual":[400,2,0],"check":"exact two skeins","expected":[400,2,0],"passed":true},{"actual":[1320,11,55],"check":"with margin","expected":[1320,11,55],"passed":true},{"actual":"error: swatch","check":"zero swatch","expected":"error: swatch","passed":true},{"actual":[2063,14,38],"check":"regression: safety margin","expected":[2063,14,38],"passed":true},{"actual":[599,5,26],"check":"repair check: safety margin","expected":[599,5,26],"passed":true},{"actual":[589,6,11],"check":"generated control 1","expected":[589,6,11],"passed":true},{"actual":[613,7,87],"check":"generated control 2","expected":[613,7,87],"passed":true},{"actual":[1800,12,0],"check":"generated control 3","expected":[1800,12,0],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"exact two skeins\", \"actual\": [400, 2, 0], \"expected\": [400, 2, 0], \"passed\": true}, {\"check\": \"with margin\", \"actual\": [1320, 11, 55], \"expected\": [1320, 11, 55], \"passed\": true}, {\"check\": \"zero swatch\", \"actual\": \"error: swatch\", \"expected\": \"error: swatch\", \"passed\": true}, {\"check\": \"regression: safety margin\", \"actual\": [2063, 14, 38], \"expected\": [2063, 14, 38], \"passed\": true}, {\"check\": \"repair check: safety margin\", \"actual\": [599, 5, 26], \"expected\": [599, 5, 26], \"passed\": true}, {\"check\": \"generated control 1\", \"actual\": [589, 6, 11], \"expected\": [589, 6, 11], \"passed\": true}, {\"check\": \"generated control 2\", \"actual\": [613, 7, 87], \"expected\": [613, 7, 87], \"passed\": true}, {\"check\": \"generated control 3\", \"actual\": [1800, 12, 0], \"expected\": [1800, 12, 0], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}