{"abstract":"Lentils and oats show inflated glycemic load.","category":"Recipe scaling and nutrition","checks":8,"contract":"Rows [name, gi, carbs, fiber, grams_eaten, per_grams] where carbs and fiber are per per_grams. Available carb = (carbs-fiber)*eaten/per. Meal GI = sum(gi*avail)/sum(avail) half-up integer (None if no available carb). GL = sum(gi*avail)/100 half-up to 0.1. Class from the exact GL: <=10 low, <20 medium, else high.","contract_signature":"foods","evaluation_group":"w2-recipe_scaling_and_nutrition-glycemic-load","failed_approach":"Subtracting half the fiber still overstates available carbohydrate.","family":"w2-recipe_scaling_and_nutrition-glycemic-load-available-carbohydrate","id":"FA-97221","implementations":{"attempt":{"sha256":"ab3c3700e6723f6609f2573273d9282012847f23e5fb18af519b83eb7a1fe5e9","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(foods):\n    tot = Fraction(0)\n    w = Fraction(0)\n    for name, gi, carbs, fiber, eaten, per in foods:\n        avail = (Fraction(str(carbs)) - Fraction(str(fiber)) / 2) * Fraction(eaten, per)\n        tot += avail\n        w += gi * avail\n    gi_meal = math.floor(w / tot + Fraction(1, 2)) if tot else None\n    gl = w / 100\n    cls = 'low' if gl <= 10 else 'medium' if gl < 20 else 'high'\n    return {'gi': gi_meal, 'gl': math.floor(gl * 10 + Fraction(1, 2)) / 10, 'class': cls}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['single food', [[['rice', 73, 28, 0.4, 150, 100]]], {'class': 'high', 'gi': 73, 'gl': 30.2}],\n  ['load exactly ten', [[['juice', 50, 10, 0, 200, 100]]], {'class': 'low', 'gi': 50, 'gl': 10.0}],\n  ['no carbs', [[['egg', 0, 0, 0, 50, 100]]], {'class': 'low', 'gi': None, 'gl': 0.0}],\n  ['regression: available carbohydrate',\n   [[['bread', 75, 49, 2.7, 200, 100], ['apple', 36, 14, 2.4, 120, 50], ['banana', 51, 23, 2.6, 200, 100],\n     ['rice', 73, 28, 0.4, 200, 100]]],\n   {'class': 'high', 'gi': 65, 'gl': 140.6}],\n  ['repair check: available carbohydrate',\n   [[['bread', 75, 49, 2.7, 150, 100], ['oats', 55, 60, 10, 80, 100]]],\n   {'class': 'high', 'gi': 68, 'gl': 74.1}],\n  ['generated control 1', [[['bread', 75, 49, 2.7, 150, 100]]], {'class': 'high', 'gi': 75, 'gl': 52.1}],\n  ['generated control 2',\n   [[['oats', 55, 60, 10, 50, 100], ['banana', 51, 23, 2.6, 120, 100], ['apple', 36, 14, 2.4, 50, 100],\n     ['juice', 50, 10, 0, 200, 50]]],\n   {'class': 'high', 'gi': 51, 'gl': 48.3}],\n  ['generated control 3',\n   [[['apple', 36, 14, 2.4, 80, 50], ['lentils', 32, 20, 8, 30, 50], ['juice', 50, 10, 0, 80, 50],\n     ['banana', 51, 23, 2.6, 50, 100]]],\n   {'class': 'high', 'gi': 43, 'gl': 22.2}]],\n [['load exactly ten', [[['juice', 50, 10, 0, 200, 100]]], {'class': 'low', 'gi': 50, 'gl': 10.0}],\n  ['no carbs', [[['egg', 0, 0, 0, 50, 100]]], {'class': 'low', 'gi': None, 'gl': 0.0}],\n  ['mixed meal', [[['lentils', 32, 20, 8, 200, 100], ['bread', 75, 49, 2.7, 50, 100]]],\n   {'class': 'high', 'gi': 53, 'gl': 25.0}],\n  ['regression: available carbohydrate',\n   [[['apple', 36, 14, 2.4, 80, 100], ['bread', 75, 49, 2.7, 50, 100], ['juice', 50, 10, 0, 80, 50]]],\n   {'class': 'high', 'gi': 59, 'gl': 28.7}],\n  ['repair check: available carbohydrate',\n   [[['juice', 50, 10, 0, 120, 100], ['lentils', 32, 20, 8, 120, 100], ['banana', 51, 23, 2.6, 200, 100],\n     ['apple', 36, 14, 2.4, 150, 100]]],\n   {'class': 'high', 'gi': 45, 'gl': 37.7}],\n  ['generated control 1', [[['juice', 50, 10, 0, 80, 50]]], {'class': 'low', 'gi': 50, 'gl': 8.0}],\n  ['generated control 2',\n   [[['rice', 73, 28, 0.4, 80, 50], ['banana', 51, 23, 2.6, 200, 100], ['oats', 55, 60, 10, 200, 100]]],\n   {'class': 'high', 'gi': 58, 'gl': 108.0}],\n  ['generated control 3',\n   [[['bread', 75, 49, 2.7, 150, 100], ['apple', 36, 14, 2.4, 120, 100], ['rice', 73, 28, 0.4, 150, 50],\n     ['juice', 50, 10, 0, 120, 100]]],\n   {'class': 'high', 'gi': 69, 'gl': 123.5}]],\n [['no carbs', [[['egg', 0, 0, 0, 50, 100]]], {'class': 'low', 'gi': None, 'gl': 0.0}],\n  ['mixed meal', [[['lentils', 32, 20, 8, 200, 100], ['bread', 75, 49, 2.7, 50, 100]]],\n   {'class': 'high', 'gi': 53, 'gl': 25.0}],\n  ['single food', [[['rice', 73, 28, 0.4, 150, 100]]], {'class': 'high', 'gi': 73, 'gl': 30.2}],\n  ['regression: available carbohydrate', [[['rice', 73, 28, 0.4, 50, 100], ['apple', 36, 14, 2.4, 200, 50]]],\n   {'class': 'high', 'gi': 44, 'gl': 26.8}],\n  ['repair check: available carbohydrate',\n   [[['banana', 51, 23, 2.6, 200, 100], ['apple', 36, 14, 2.4, 120, 100], ['rice', 73, 28, 0.4, 30, 50]]],\n   {'class': 'high', 'gi': 53, 'gl': 37.9}],\n  ['generated control 1', [[['banana', 51, 23, 2.6, 120, 100], ['lentils', 32, 20, 8, 80, 100]]],\n   {'class': 'medium', 'gi': 46, 'gl': 15.6}],\n  ['generated control 2', [[['lentils', 32, 20, 8, 150, 100], ['oats', 55, 60, 10, 150, 100]]],\n   {'class': 'high', 'gi': 51, 'gl': 47.0}],\n  ['generated control 3',\n   [[['lentils', 32, 20, 8, 150, 50], ['banana', 51, 23, 2.6, 150, 50], ['oats', 55, 60, 10, 30, 50]]],\n   {'class': 'high', 'gi': 47, 'gl': 59.2}]],\n [['mixed meal', [[['lentils', 32, 20, 8, 200, 100], ['bread', 75, 49, 2.7, 50, 100]]],\n   {'class': 'high', 'gi': 53, 'gl': 25.0}],\n  ['single food', [[['rice', 73, 28, 0.4, 150, 100]]], {'class': 'high', 'gi': 73, 'gl': 30.2}],\n  ['load exactly ten', [[['juice', 50, 10, 0, 200, 100]]], {'class': 'low', 'gi': 50, 'gl': 10.0}],\n  ['regression: available carbohydrate',\n   [[['banana', 51, 23, 2.6, 150, 100], ['rice', 73, 28, 0.4, 50, 50], ['bread', 75, 49, 2.7, 80, 100],\n     ['oats', 55, 60, 10, 200, 100]]],\n   {'class': 'high', 'gi': 61, 'gl': 118.5}],\n  ['repair check: available carbohydrate',\n   [[['rice', 73, 28, 0.4, 30, 100], ['lentils', 32, 20, 8, 150, 50], ['oats', 55, 60, 10, 50, 100]]],\n   {'class': 'high', 'gi': 45, 'gl': 31.3}],\n  ['generated control 1', [[['bread', 75, 49, 2.7, 30, 100], ['juice', 50, 10, 0, 120, 100]]],\n   {'class': 'medium', 'gi': 63, 'gl': 16.4}],\n  ['generated control 2',\n   [[['banana', 51, 23, 2.6, 150, 50], ['bread', 75, 49, 2.7, 30, 50], ['rice', 73, 28, 0.4, 150, 100]]],\n   {'class': 'high', 'gi': 63, 'gl': 82.3}],\n  ['generated control 3', [[['banana', 51, 23, 2.6, 80, 100], ['oats', 55, 60, 10, 30, 50]]],\n   {'class': 'high', 'gi': 54, 'gl': 24.8}]],\n [['single food', [[['rice', 73, 28, 0.4, 150, 100]]], {'class': 'high', 'gi': 73, 'gl': 30.2}],\n  ['load exactly ten', [[['juice', 50, 10, 0, 200, 100]]], {'class': 'low', 'gi': 50, 'gl': 10.0}],\n  ['no carbs', [[['egg', 0, 0, 0, 50, 100]]], {'class': 'low', 'gi': None, 'gl': 0.0}],\n  ['regression: available carbohydrate',\n   [[['banana', 51, 23, 2.6, 150, 100], ['juice', 50, 10, 0, 50, 100], ['oats', 55, 60, 10, 150, 100]]],\n   {'class': 'high', 'gi': 54, 'gl': 59.4}],\n  ['repair check: available carbohydrate', [[['bread', 75, 49, 2.7, 120, 100]]],\n   {'class': 'high', 'gi': 75, 'gl': 41.7}],\n  ['generated control 1', [[['oats', 55, 60, 10, 80, 100]]], {'class': 'high', 'gi': 55, 'gl': 22.0}],\n  ['generated control 2',\n   [[['oats', 55, 60, 10, 50, 100], ['bread', 75, 49, 2.7, 30, 50], ['rice', 73, 28, 0.4, 80, 50],\n     ['lentils', 32, 20, 8, 200, 100]]],\n   {'class': 'high', 'gi': 62, 'gl': 74.5}],\n  ['generated control 3', [[['bread', 75, 49, 2.7, 150, 100], ['lentils', 32, 20, 8, 30, 100]]],\n   {'class': 'high', 'gi': 73, 'gl': 53.2}]]]\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":"52dbc528e4a7949c6957eea420da49f6ffe342c2a41df465cea56e3b72076f84","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(foods):\n    tot = Fraction(0)\n    w = Fraction(0)\n    for name, gi, carbs, fiber, eaten, per in foods:\n        avail = Fraction(str(carbs)) * Fraction(eaten, per)\n        tot += avail\n        w += gi * avail\n    gi_meal = math.floor(w / tot + Fraction(1, 2)) if tot else None\n    gl = w / 100\n    cls = 'low' if gl <= 10 else 'medium' if gl < 20 else 'high'\n    return {'gi': gi_meal, 'gl': math.floor(gl * 10 + Fraction(1, 2)) / 10, 'class': cls}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['single food', [[['rice', 73, 28, 0.4, 150, 100]]], {'class': 'high', 'gi': 73, 'gl': 30.2}],\n  ['load exactly ten', [[['juice', 50, 10, 0, 200, 100]]], {'class': 'low', 'gi': 50, 'gl': 10.0}],\n  ['no carbs', [[['egg', 0, 0, 0, 50, 100]]], {'class': 'low', 'gi': None, 'gl': 0.0}],\n  ['regression: available carbohydrate',\n   [[['bread', 75, 49, 2.7, 200, 100], ['apple', 36, 14, 2.4, 120, 50], ['banana', 51, 23, 2.6, 200, 100],\n     ['rice', 73, 28, 0.4, 200, 100]]],\n   {'class': 'high', 'gi': 65, 'gl': 140.6}],\n  ['repair check: available carbohydrate',\n   [[['bread', 75, 49, 2.7, 150, 100], ['oats', 55, 60, 10, 80, 100]]],\n   {'class': 'high', 'gi': 68, 'gl': 74.1}],\n  ['generated control 1', [[['bread', 75, 49, 2.7, 150, 100]]], {'class': 'high', 'gi': 75, 'gl': 52.1}],\n  ['generated control 2',\n   [[['oats', 55, 60, 10, 50, 100], ['banana', 51, 23, 2.6, 120, 100], ['apple', 36, 14, 2.4, 50, 100],\n     ['juice', 50, 10, 0, 200, 50]]],\n   {'class': 'high', 'gi': 51, 'gl': 48.3}],\n  ['generated control 3',\n   [[['apple', 36, 14, 2.4, 80, 50], ['lentils', 32, 20, 8, 30, 50], ['juice', 50, 10, 0, 80, 50],\n     ['banana', 51, 23, 2.6, 50, 100]]],\n   {'class': 'high', 'gi': 43, 'gl': 22.2}]],\n [['load exactly ten', [[['juice', 50, 10, 0, 200, 100]]], {'class': 'low', 'gi': 50, 'gl': 10.0}],\n  ['no carbs', [[['egg', 0, 0, 0, 50, 100]]], {'class': 'low', 'gi': None, 'gl': 0.0}],\n  ['mixed meal', [[['lentils', 32, 20, 8, 200, 100], ['bread', 75, 49, 2.7, 50, 100]]],\n   {'class': 'high', 'gi': 53, 'gl': 25.0}],\n  ['regression: available carbohydrate',\n   [[['apple', 36, 14, 2.4, 80, 100], ['bread', 75, 49, 2.7, 50, 100], ['juice', 50, 10, 0, 80, 50]]],\n   {'class': 'high', 'gi': 59, 'gl': 28.7}],\n  ['repair check: available carbohydrate',\n   [[['juice', 50, 10, 0, 120, 100], ['lentils', 32, 20, 8, 120, 100], ['banana', 51, 23, 2.6, 200, 100],\n     ['apple', 36, 14, 2.4, 150, 100]]],\n   {'class': 'high', 'gi': 45, 'gl': 37.7}],\n  ['generated control 1', [[['juice', 50, 10, 0, 80, 50]]], {'class': 'low', 'gi': 50, 'gl': 8.0}],\n  ['generated control 2',\n   [[['rice', 73, 28, 0.4, 80, 50], ['banana', 51, 23, 2.6, 200, 100], ['oats', 55, 60, 10, 200, 100]]],\n   {'class': 'high', 'gi': 58, 'gl': 108.0}],\n  ['generated control 3',\n   [[['bread', 75, 49, 2.7, 150, 100], ['apple', 36, 14, 2.4, 120, 100], ['rice', 73, 28, 0.4, 150, 50],\n     ['juice', 50, 10, 0, 120, 100]]],\n   {'class': 'high', 'gi': 69, 'gl': 123.5}]],\n [['no carbs', [[['egg', 0, 0, 0, 50, 100]]], {'class': 'low', 'gi': None, 'gl': 0.0}],\n  ['mixed meal', [[['lentils', 32, 20, 8, 200, 100], ['bread', 75, 49, 2.7, 50, 100]]],\n   {'class': 'high', 'gi': 53, 'gl': 25.0}],\n  ['single food', [[['rice', 73, 28, 0.4, 150, 100]]], {'class': 'high', 'gi': 73, 'gl': 30.2}],\n  ['regression: available carbohydrate', [[['rice', 73, 28, 0.4, 50, 100], ['apple', 36, 14, 2.4, 200, 50]]],\n   {'class': 'high', 'gi': 44, 'gl': 26.8}],\n  ['repair check: available carbohydrate',\n   [[['banana', 51, 23, 2.6, 200, 100], ['apple', 36, 14, 2.4, 120, 100], ['rice', 73, 28, 0.4, 30, 50]]],\n   {'class': 'high', 'gi': 53, 'gl': 37.9}],\n  ['generated control 1', [[['banana', 51, 23, 2.6, 120, 100], ['lentils', 32, 20, 8, 80, 100]]],\n   {'class': 'medium', 'gi': 46, 'gl': 15.6}],\n  ['generated control 2', [[['lentils', 32, 20, 8, 150, 100], ['oats', 55, 60, 10, 150, 100]]],\n   {'class': 'high', 'gi': 51, 'gl': 47.0}],\n  ['generated control 3',\n   [[['lentils', 32, 20, 8, 150, 50], ['banana', 51, 23, 2.6, 150, 50], ['oats', 55, 60, 10, 30, 50]]],\n   {'class': 'high', 'gi': 47, 'gl': 59.2}]],\n [['mixed meal', [[['lentils', 32, 20, 8, 200, 100], ['bread', 75, 49, 2.7, 50, 100]]],\n   {'class': 'high', 'gi': 53, 'gl': 25.0}],\n  ['single food', [[['rice', 73, 28, 0.4, 150, 100]]], {'class': 'high', 'gi': 73, 'gl': 30.2}],\n  ['load exactly ten', [[['juice', 50, 10, 0, 200, 100]]], {'class': 'low', 'gi': 50, 'gl': 10.0}],\n  ['regression: available carbohydrate',\n   [[['banana', 51, 23, 2.6, 150, 100], ['rice', 73, 28, 0.4, 50, 50], ['bread', 75, 49, 2.7, 80, 100],\n     ['oats', 55, 60, 10, 200, 100]]],\n   {'class': 'high', 'gi': 61, 'gl': 118.5}],\n  ['repair check: available carbohydrate',\n   [[['rice', 73, 28, 0.4, 30, 100], ['lentils', 32, 20, 8, 150, 50], ['oats', 55, 60, 10, 50, 100]]],\n   {'class': 'high', 'gi': 45, 'gl': 31.3}],\n  ['generated control 1', [[['bread', 75, 49, 2.7, 30, 100], ['juice', 50, 10, 0, 120, 100]]],\n   {'class': 'medium', 'gi': 63, 'gl': 16.4}],\n  ['generated control 2',\n   [[['banana', 51, 23, 2.6, 150, 50], ['bread', 75, 49, 2.7, 30, 50], ['rice', 73, 28, 0.4, 150, 100]]],\n   {'class': 'high', 'gi': 63, 'gl': 82.3}],\n  ['generated control 3', [[['banana', 51, 23, 2.6, 80, 100], ['oats', 55, 60, 10, 30, 50]]],\n   {'class': 'high', 'gi': 54, 'gl': 24.8}]],\n [['single food', [[['rice', 73, 28, 0.4, 150, 100]]], {'class': 'high', 'gi': 73, 'gl': 30.2}],\n  ['load exactly ten', [[['juice', 50, 10, 0, 200, 100]]], {'class': 'low', 'gi': 50, 'gl': 10.0}],\n  ['no carbs', [[['egg', 0, 0, 0, 50, 100]]], {'class': 'low', 'gi': None, 'gl': 0.0}],\n  ['regression: available carbohydrate',\n   [[['banana', 51, 23, 2.6, 150, 100], ['juice', 50, 10, 0, 50, 100], ['oats', 55, 60, 10, 150, 100]]],\n   {'class': 'high', 'gi': 54, 'gl': 59.4}],\n  ['repair check: available carbohydrate', [[['bread', 75, 49, 2.7, 120, 100]]],\n   {'class': 'high', 'gi': 75, 'gl': 41.7}],\n  ['generated control 1', [[['oats', 55, 60, 10, 80, 100]]], {'class': 'high', 'gi': 55, 'gl': 22.0}],\n  ['generated control 2',\n   [[['oats', 55, 60, 10, 50, 100], ['bread', 75, 49, 2.7, 30, 50], ['rice', 73, 28, 0.4, 80, 50],\n     ['lentils', 32, 20, 8, 200, 100]]],\n   {'class': 'high', 'gi': 62, 'gl': 74.5}],\n  ['generated control 3', [[['bread', 75, 49, 2.7, 150, 100], ['lentils', 32, 20, 8, 30, 100]]],\n   {'class': 'high', 'gi': 73, 'gl': 53.2}]]]\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-recipe_scaling_and_nutrition-glycemic-load-available-carbohydrate","generated_at":"2026-09-29T14:52:30.061148+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Diabetes-friendly meal planners estimate combined glycemic load from mixed foods.","root_cause":"Fiber is not subtracted from carbohydrate before weighting.","sha256":"f8b215b2a897a787dc421974192a14934642b02f5c1d8263ba00d4de5d7993c7","title":"Meal glycemic load: available carbohydrate · 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":50.837,"exit_code":1,"observations":[{"actual":{"class":"high","gi":73,"gl":30.4},"check":"single food","expected":{"class":"high","gi":73,"gl":30.2},"passed":false},{"actual":{"class":"low","gi":50,"gl":10.0},"check":"load exactly ten","expected":{"class":"low","gi":50,"gl":10.0},"passed":true},{"actual":{"class":"low","gi":null,"gl":0.0},"check":"no carbs","expected":{"class":"low","gi":null,"gl":0.0},"passed":true},{"actual":{"class":"high","gi":65,"gl":145.3},"check":"regression: available carbohydrate","expected":{"class":"high","gi":65,"gl":140.6},"passed":false},{"actual":{"class":"high","gi":67,"gl":77.8},"check":"repair check: available carbohydrate","expected":{"class":"high","gi":68,"gl":74.1},"passed":false},{"actual":{"class":"high","gi":75,"gl":53.6},"check":"generated control 1","expected":{"class":"high","gi":75,"gl":52.1},"passed":false},{"actual":{"class":"high","gi":51,"gl":50.7},"check":"generated control 2","expected":{"class":"high","gi":51,"gl":48.3},"passed":false},{"actual":{"class":"high","gi":42,"gl":24.0},"check":"generated control 3","expected":{"class":"high","gi":43,"gl":22.2},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"single food\", \"actual\": {\"gi\": 73, \"gl\": 30.4, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 73, \"gl\": 30.2}, \"passed\": false}, {\"check\": \"load exactly ten\", \"actual\": {\"gi\": 50, \"gl\": 10.0, \"class\": \"low\"}, \"expected\": {\"class\": \"low\", \"gi\": 50, \"gl\": 10.0}, \"passed\": true}, {\"check\": \"no carbs\", \"actual\": {\"gi\": null, \"gl\": 0.0, \"class\": \"low\"}, \"expected\": {\"class\": \"low\", \"gi\": null, \"gl\": 0.0}, \"passed\": true}, {\"check\": \"regression: available carbohydrate\", \"actual\": {\"gi\": 65, \"gl\": 145.3, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 65, \"gl\": 140.6}, \"passed\": false}, {\"check\": \"repair check: available carbohydrate\", \"actual\": {\"gi\": 67, \"gl\": 77.8, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 68, \"gl\": 74.1}, \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": {\"gi\": 75, \"gl\": 53.6, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 75, \"gl\": 52.1}, \"passed\": false}, {\"check\": \"generated control 2\", \"actual\": {\"gi\": 51, \"gl\": 50.7, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 51, \"gl\": 48.3}, \"passed\": false}, {\"check\": \"generated control 3\", \"actual\": {\"gi\": 42, \"gl\": 24.0, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 43, \"gl\": 22.2}, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":48.088,"exit_code":1,"observations":[{"actual":{"class":"high","gi":73,"gl":30.7},"check":"single food","expected":{"class":"high","gi":73,"gl":30.2},"passed":false},{"actual":{"class":"low","gi":50,"gl":10.0},"check":"load exactly ten","expected":{"class":"low","gi":50,"gl":10.0},"passed":true},{"actual":{"class":"low","gi":null,"gl":0.0},"check":"no carbs","expected":{"class":"low","gi":null,"gl":0.0},"passed":true},{"actual":{"class":"high","gi":64,"gl":149.9},"check":"regression: available carbohydrate","expected":{"class":"high","gi":65,"gl":140.6},"passed":false},{"actual":{"class":"high","gi":67,"gl":81.5},"check":"repair check: available carbohydrate","expected":{"class":"high","gi":68,"gl":74.1},"passed":false},{"actual":{"class":"high","gi":75,"gl":55.1},"check":"generated control 1","expected":{"class":"high","gi":75,"gl":52.1},"passed":false},{"actual":{"class":"high","gi":51,"gl":53.1},"check":"generated control 2","expected":{"class":"high","gi":51,"gl":48.3},"passed":false},{"actual":{"class":"high","gi":42,"gl":25.8},"check":"generated control 3","expected":{"class":"high","gi":43,"gl":22.2},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"single food\", \"actual\": {\"gi\": 73, \"gl\": 30.7, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 73, \"gl\": 30.2}, \"passed\": false}, {\"check\": \"load exactly ten\", \"actual\": {\"gi\": 50, \"gl\": 10.0, \"class\": \"low\"}, \"expected\": {\"class\": \"low\", \"gi\": 50, \"gl\": 10.0}, \"passed\": true}, {\"check\": \"no carbs\", \"actual\": {\"gi\": null, \"gl\": 0.0, \"class\": \"low\"}, \"expected\": {\"class\": \"low\", \"gi\": null, \"gl\": 0.0}, \"passed\": true}, {\"check\": \"regression: available carbohydrate\", \"actual\": {\"gi\": 64, \"gl\": 149.9, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 65, \"gl\": 140.6}, \"passed\": false}, {\"check\": \"repair check: available carbohydrate\", \"actual\": {\"gi\": 67, \"gl\": 81.5, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 68, \"gl\": 74.1}, \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": {\"gi\": 75, \"gl\": 55.1, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 75, \"gl\": 52.1}, \"passed\": false}, {\"check\": \"generated control 2\", \"actual\": {\"gi\": 51, \"gl\": 53.1, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 51, \"gl\": 48.3}, \"passed\": false}, {\"check\": \"generated control 3\", \"actual\": {\"gi\": 42, \"gl\": 25.8, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 43, \"gl\": 22.2}, \"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."}}