{"abstract":"Each side seam is adjusted by the full correction, doubling it.","category":"Knitting and sewing pattern grading","checks":8,"contract":"Ease = cap - (front + back armhole). Allowed ease: woven 2.5-4.5, knit 0-1.5, leather 0-0.5 (inclusive; fabric trimmed, lower-case; other -> \"error: fabric\"). Verdict \"too little\", \"too much\" or \"ok\". Adjustment per side = (midpoint - ease)/2. Return [ease, verdict, adjust] with floats rounded to 2 decimals.","contract_signature":"cap, front, back, fabric","evaluation_group":"w2-knitting_and_sewing_pattern_grading-sleeve-cap-ease","failed_approach":"Quartering it under-corrects.","family":"w2-knitting_and_sewing_pattern_grading-sleeve-cap-ease-per-side-split","id":"FA-97691","implementations":{"attempt":{"sha256":"f483882eb49aa607a968f170fd1162924945a9148bfbb4efb25bb59201ab6c02","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(cap, front, back, fabric):\n    R = {'woven': (Fraction(5, 2), Fraction(9, 2)), 'knit': (Fraction(0), Fraction(3, 2)), 'leather': (Fraction(0), Fraction(1, 2))}\n    f = fabric.strip().lower()\n    if f not in R:\n        return 'error: fabric'\n    lo, hi = R[f]\n    ease = Fraction(cap) - (Fraction(front) + Fraction(back))\n    if ease < lo:\n        verdict = 'too little'\n    elif ease > hi:\n        verdict = 'too much'\n    else:\n        verdict = 'ok'\n    adjust = ((lo + hi) / 2 - ease) / 4\n    return [round(float(ease), 2), verdict, round(float(adjust), 2)]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['woven ok', ['50', '23', '24', 'woven'], [3.0, 'ok', 0.25]],\n  ['knit too much', ['52', '24', '24.5', 'knit'], [3.5, 'too much', -1.38]],\n  ['leather at lower bound', ['46', '23', '23', 'leather'], [0.0, 'ok', 0.12]],\n  ['regression: per-side split', ['50.5', '22', '24.5', 'woven'], [4.0, 'ok', -0.25]],\n  ['repair check: per-side split', ['49', '22', '23', 'Knit '], [4.0, 'too much', -1.62]],\n  ['generated control 1', ['52', '22', '24.5', 'felt'], 'error: fabric'],\n  ['generated control 2', ['52', '22', '24.5', 'Knit '], [5.5, 'too much', -2.38]],\n  ['generated control 3', ['49', '22', '22', 'woven'], [5.0, 'too much', -0.75]]],\n [['knit too much', ['52', '24', '24.5', 'knit'], [3.5, 'too much', -1.38]],\n  ['leather at lower bound', ['46', '23', '23', 'leather'], [0.0, 'ok', 0.12]],\n  ['woven lower edge', ['50.5', '24', '24', 'woven'], [2.5, 'ok', 0.5]],\n  ['regression: per-side split', ['50.5', '22', '24.5', 'Knit '], [4.0, 'too much', -1.62]],\n  ['repair check: per-side split', ['52', '23.5', '24.5', 'Knit '], [4.0, 'too much', -1.62]],\n  ['generated control 1', ['49', '23.5', '23', 'knit'], [2.5, 'too much', -0.88]],\n  ['generated control 2', ['52', '22', '22', 'felt'], 'error: fabric'],\n  ['generated control 3', ['50.5', '24', '22', 'leather'], [4.5, 'too much', -2.12]]],\n [['leather at lower bound', ['46', '23', '23', 'leather'], [0.0, 'ok', 0.12]],\n  ['woven lower edge', ['50.5', '24', '24', 'woven'], [2.5, 'ok', 0.5]],\n  ['woven ok', ['50', '23', '24', 'woven'], [3.0, 'ok', 0.25]],\n  ['regression: per-side split', ['49', '22', '23', 'knit'], [4.0, 'too much', -1.62]],\n  ['repair check: per-side split', ['52', '22', '22', 'knit'], [8.0, 'too much', -3.62]],\n  ['generated control 1', ['50.5', '23.5', '22', 'knit'], [5.0, 'too much', -2.12]],\n  ['generated control 2', ['48', '22', '22', 'knit'], [4.0, 'too much', -1.62]],\n  ['generated control 3', ['52', '22', '22', 'felt'], 'error: fabric']],\n [['woven lower edge', ['50.5', '24', '24', 'woven'], [2.5, 'ok', 0.5]],\n  ['woven ok', ['50', '23', '24', 'woven'], [3.0, 'ok', 0.25]],\n  ['knit too much', ['52', '24', '24.5', 'knit'], [3.5, 'too much', -1.38]],\n  ['regression: per-side split', ['46', '24', '24.5', 'leather'], [-2.5, 'too little', 1.38]],\n  ['repair check: per-side split', ['49', '23.5', '23', 'Knit '], [2.5, 'too much', -0.88]],\n  ['generated control 1', ['46', '23.5', '22', 'leather'], [0.5, 'ok', -0.12]],\n  ['generated control 2', ['49', '22', '23', 'woven'], [4.0, 'ok', -0.25]],\n  ['generated control 3', ['49', '22', '23', 'Knit '], [4.0, 'too much', -1.62]]],\n [['woven ok', ['50', '23', '24', 'woven'], [3.0, 'ok', 0.25]],\n  ['knit too much', ['52', '24', '24.5', 'knit'], [3.5, 'too much', -1.38]],\n  ['leather at lower bound', ['46', '23', '23', 'leather'], [0.0, 'ok', 0.12]],\n  ['regression: per-side split', ['49', '22', '23', 'woven'], [4.0, 'ok', -0.25]],\n  ['repair check: per-side split', ['52', '24', '24.5', 'Knit '], [3.5, 'too much', -1.38]],\n  ['generated control 1', ['49', '23.5', '22', 'Knit '], [3.5, 'too much', -1.38]],\n  ['generated control 2', ['49', '22', '24.5', 'woven'], [2.5, 'ok', 0.5]],\n  ['generated control 3', ['48', '24', '22', 'woven'], [2.0, 'too little', 0.75]]]]\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":"e0a2049aa50251600700c9992d3daf68fd74acd3328e9591ada74d8e4c879ce5","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(cap, front, back, fabric):\n    R = {'woven': (Fraction(5, 2), Fraction(9, 2)), 'knit': (Fraction(0), Fraction(3, 2)), 'leather': (Fraction(0), Fraction(1, 2))}\n    f = fabric.strip().lower()\n    if f not in R:\n        return 'error: fabric'\n    lo, hi = R[f]\n    ease = Fraction(cap) - (Fraction(front) + Fraction(back))\n    if ease < lo:\n        verdict = 'too little'\n    elif ease > hi:\n        verdict = 'too much'\n    else:\n        verdict = 'ok'\n    adjust = ((lo + hi) / 2 - ease) / 1\n    return [round(float(ease), 2), verdict, round(float(adjust), 2)]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['woven ok', ['50', '23', '24', 'woven'], [3.0, 'ok', 0.25]],\n  ['knit too much', ['52', '24', '24.5', 'knit'], [3.5, 'too much', -1.38]],\n  ['leather at lower bound', ['46', '23', '23', 'leather'], [0.0, 'ok', 0.12]],\n  ['regression: per-side split', ['50.5', '22', '24.5', 'woven'], [4.0, 'ok', -0.25]],\n  ['repair check: per-side split', ['49', '22', '23', 'Knit '], [4.0, 'too much', -1.62]],\n  ['generated control 1', ['52', '22', '24.5', 'felt'], 'error: fabric'],\n  ['generated control 2', ['52', '22', '24.5', 'Knit '], [5.5, 'too much', -2.38]],\n  ['generated control 3', ['49', '22', '22', 'woven'], [5.0, 'too much', -0.75]]],\n [['knit too much', ['52', '24', '24.5', 'knit'], [3.5, 'too much', -1.38]],\n  ['leather at lower bound', ['46', '23', '23', 'leather'], [0.0, 'ok', 0.12]],\n  ['woven lower edge', ['50.5', '24', '24', 'woven'], [2.5, 'ok', 0.5]],\n  ['regression: per-side split', ['50.5', '22', '24.5', 'Knit '], [4.0, 'too much', -1.62]],\n  ['repair check: per-side split', ['52', '23.5', '24.5', 'Knit '], [4.0, 'too much', -1.62]],\n  ['generated control 1', ['49', '23.5', '23', 'knit'], [2.5, 'too much', -0.88]],\n  ['generated control 2', ['52', '22', '22', 'felt'], 'error: fabric'],\n  ['generated control 3', ['50.5', '24', '22', 'leather'], [4.5, 'too much', -2.12]]],\n [['leather at lower bound', ['46', '23', '23', 'leather'], [0.0, 'ok', 0.12]],\n  ['woven lower edge', ['50.5', '24', '24', 'woven'], [2.5, 'ok', 0.5]],\n  ['woven ok', ['50', '23', '24', 'woven'], [3.0, 'ok', 0.25]],\n  ['regression: per-side split', ['49', '22', '23', 'knit'], [4.0, 'too much', -1.62]],\n  ['repair check: per-side split', ['52', '22', '22', 'knit'], [8.0, 'too much', -3.62]],\n  ['generated control 1', ['50.5', '23.5', '22', 'knit'], [5.0, 'too much', -2.12]],\n  ['generated control 2', ['48', '22', '22', 'knit'], [4.0, 'too much', -1.62]],\n  ['generated control 3', ['52', '22', '22', 'felt'], 'error: fabric']],\n [['woven lower edge', ['50.5', '24', '24', 'woven'], [2.5, 'ok', 0.5]],\n  ['woven ok', ['50', '23', '24', 'woven'], [3.0, 'ok', 0.25]],\n  ['knit too much', ['52', '24', '24.5', 'knit'], [3.5, 'too much', -1.38]],\n  ['regression: per-side split', ['46', '24', '24.5', 'leather'], [-2.5, 'too little', 1.38]],\n  ['repair check: per-side split', ['49', '23.5', '23', 'Knit '], [2.5, 'too much', -0.88]],\n  ['generated control 1', ['46', '23.5', '22', 'leather'], [0.5, 'ok', -0.12]],\n  ['generated control 2', ['49', '22', '23', 'woven'], [4.0, 'ok', -0.25]],\n  ['generated control 3', ['49', '22', '23', 'Knit '], [4.0, 'too much', -1.62]]],\n [['woven ok', ['50', '23', '24', 'woven'], [3.0, 'ok', 0.25]],\n  ['knit too much', ['52', '24', '24.5', 'knit'], [3.5, 'too much', -1.38]],\n  ['leather at lower bound', ['46', '23', '23', 'leather'], [0.0, 'ok', 0.12]],\n  ['regression: per-side split', ['49', '22', '23', 'woven'], [4.0, 'ok', -0.25]],\n  ['repair check: per-side split', ['52', '24', '24.5', 'Knit '], [3.5, 'too much', -1.38]],\n  ['generated control 1', ['49', '23.5', '22', 'Knit '], [3.5, 'too much', -1.38]],\n  ['generated control 2', ['49', '22', '24.5', 'woven'], [2.5, 'ok', 0.5]],\n  ['generated control 3', ['48', '24', '22', 'woven'], [2.0, 'too little', 0.75]]]]\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-sleeve-cap-ease-per-side-split","generated_at":"2026-09-29T14:52:34.631254+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Set-in sleeves need a fabric-dependent amount of cap ease to ease into the armhole.","root_cause":"The correction is not split between the two cap sides.","sha256":"3dc6712b841e98df984016cb247178b729f1404a691dcfd020eb85a77343ae10","title":"Sleeve cap ease checker: per-side split · 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":44.71,"exit_code":1,"observations":[{"actual":[3.0,"ok",0.12],"check":"woven ok","expected":[3.0,"ok",0.25],"passed":false},{"actual":[3.5,"too much",-0.69],"check":"knit too much","expected":[3.5,"too much",-1.38],"passed":false},{"actual":[0.0,"ok",0.06],"check":"leather at lower bound","expected":[0.0,"ok",0.12],"passed":false},{"actual":[4.0,"ok",-0.12],"check":"regression: per-side split","expected":[4.0,"ok",-0.25],"passed":false},{"actual":[4.0,"too much",-0.81],"check":"repair check: per-side split","expected":[4.0,"too much",-1.62],"passed":false},{"actual":"error: fabric","check":"generated control 1","expected":"error: fabric","passed":true},{"actual":[5.5,"too much",-1.19],"check":"generated control 2","expected":[5.5,"too much",-2.38],"passed":false},{"actual":[5.0,"too much",-0.38],"check":"generated control 3","expected":[5.0,"too much",-0.75],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"woven ok\", \"actual\": [3.0, \"ok\", 0.12], \"expected\": [3.0, \"ok\", 0.25], \"passed\": false}, {\"check\": \"knit too much\", \"actual\": [3.5, \"too much\", -0.69], \"expected\": [3.5, \"too much\", -1.38], \"passed\": false}, {\"check\": \"leather at lower bound\", \"actual\": [0.0, \"ok\", 0.06], \"expected\": [0.0, \"ok\", 0.12], \"passed\": false}, {\"check\": \"regression: per-side split\", \"actual\": [4.0, \"ok\", -0.12], \"expected\": [4.0, \"ok\", -0.25], \"passed\": false}, {\"check\": \"repair check: per-side split\", \"actual\": [4.0, \"too much\", -0.81], \"expected\": [4.0, \"too much\", -1.62], \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": \"error: fabric\", \"expected\": \"error: fabric\", \"passed\": true}, {\"check\": \"generated control 2\", \"actual\": [5.5, \"too much\", -1.19], \"expected\": [5.5, \"too much\", -2.38], \"passed\": false}, {\"check\": \"generated control 3\", \"actual\": [5.0, \"too much\", -0.38], \"expected\": [5.0, \"too much\", -0.75], \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":44.64,"exit_code":1,"observations":[{"actual":[3.0,"ok",0.5],"check":"woven ok","expected":[3.0,"ok",0.25],"passed":false},{"actual":[3.5,"too much",-2.75],"check":"knit too much","expected":[3.5,"too much",-1.38],"passed":false},{"actual":[0.0,"ok",0.25],"check":"leather at lower bound","expected":[0.0,"ok",0.12],"passed":false},{"actual":[4.0,"ok",-0.5],"check":"regression: per-side split","expected":[4.0,"ok",-0.25],"passed":false},{"actual":[4.0,"too much",-3.25],"check":"repair check: per-side split","expected":[4.0,"too much",-1.62],"passed":false},{"actual":"error: fabric","check":"generated control 1","expected":"error: fabric","passed":true},{"actual":[5.5,"too much",-4.75],"check":"generated control 2","expected":[5.5,"too much",-2.38],"passed":false},{"actual":[5.0,"too much",-1.5],"check":"generated control 3","expected":[5.0,"too much",-0.75],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"woven ok\", \"actual\": [3.0, \"ok\", 0.5], \"expected\": [3.0, \"ok\", 0.25], \"passed\": false}, {\"check\": \"knit too much\", \"actual\": [3.5, \"too much\", -2.75], \"expected\": [3.5, \"too much\", -1.38], \"passed\": false}, {\"check\": \"leather at lower bound\", \"actual\": [0.0, \"ok\", 0.25], \"expected\": [0.0, \"ok\", 0.12], \"passed\": false}, {\"check\": \"regression: per-side split\", \"actual\": [4.0, \"ok\", -0.5], \"expected\": [4.0, \"ok\", -0.25], \"passed\": false}, {\"check\": \"repair check: per-side split\", \"actual\": [4.0, \"too much\", -3.25], \"expected\": [4.0, \"too much\", -1.62], \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": \"error: fabric\", \"expected\": \"error: fabric\", \"passed\": true}, {\"check\": \"generated control 2\", \"actual\": [5.5, \"too much\", -4.75], \"expected\": [5.5, \"too much\", -2.38], \"passed\": false}, {\"check\": \"generated control 3\", \"actual\": [5.0, \"too much\", -1.5], \"expected\": [5.0, \"too much\", -0.75], \"passed\": false}], \"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."}}