{"abstract":"A 200 g portion counts the same as the 100 g reference.","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":"Assuming every reference weight is 100 g breaks foods listed per 50 g.","family":"w2-recipe_scaling_and_nutrition-glycemic-load-portion-scaling","id":"FA-97226","implementations":{"attempt":{"sha256":"a2ede89f950a5fd43303dc169725359282a303c88633b780017dfc753abef65e","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))) * Fraction(eaten, 100)\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: portion scaling', [[['juice', 50, 10, 0, 150, 100], ['oats', 55, 60, 10, 120, 100]]],\n   {'class': 'high', 'gi': 54, 'gl': 40.5}],\n  ['repair check: portion scaling',\n   [[['oats', 55, 60, 10, 200, 100], ['lentils', 32, 20, 8, 30, 50], ['rice', 73, 28, 0.4, 50, 50],\n     ['bread', 75, 49, 2.7, 50, 100]]],\n   {'class': 'high', 'gi': 60, 'gl': 94.8}],\n  ['generated control 1', [[['bread', 75, 49, 2.7, 200, 100], ['oats', 55, 60, 10, 200, 100]]],\n   {'class': 'high', 'gi': 65, 'gl': 124.5}],\n  ['generated control 2',\n   [[['juice', 50, 10, 0, 80, 100], ['oats', 55, 60, 10, 150, 100], ['lentils', 32, 20, 8, 50, 100],\n     ['apple', 36, 14, 2.4, 50, 100]]],\n   {'class': 'high', 'gi': 52, 'gl': 49.3}],\n  ['generated control 3',\n   [[['oats', 55, 60, 10, 80, 100], ['lentils', 32, 20, 8, 200, 50], ['rice', 73, 28, 0.4, 30, 50]]],\n   {'class': 'high', 'gi': 47, 'gl': 49.4}]],\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: portion scaling', [[['lentils', 32, 20, 8, 150, 100]]],\n   {'class': 'low', 'gi': 32, 'gl': 5.8}],\n  ['repair check: portion scaling',\n   [[['banana', 51, 23, 2.6, 30, 50], ['apple', 36, 14, 2.4, 150, 50], ['juice', 50, 10, 0, 120, 100],\n     ['rice', 73, 28, 0.4, 80, 50]]],\n   {'class': 'high', 'gi': 55, 'gl': 57.0}],\n  ['generated control 1',\n   [[['lentils', 32, 20, 8, 120, 100], ['bread', 75, 49, 2.7, 80, 100], ['oats', 55, 60, 10, 150, 100]]],\n   {'class': 'high', 'gi': 58, 'gl': 73.6}],\n  ['generated control 2', [[['lentils', 32, 20, 8, 120, 100], ['apple', 36, 14, 2.4, 200, 100]]],\n   {'class': 'medium', 'gi': 34, 'gl': 13.0}],\n  ['generated control 3', [[['oats', 55, 60, 10, 30, 100], ['lentils', 32, 20, 8, 30, 100]]],\n   {'class': 'low', 'gi': 51, 'gl': 9.4}]],\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: portion scaling', [[['juice', 50, 10, 0, 30, 100], ['oats', 55, 60, 10, 200, 50]]],\n   {'class': 'high', 'gi': 55, 'gl': 111.5}],\n  ['repair check: portion scaling',\n   [[['banana', 51, 23, 2.6, 50, 100], ['oats', 55, 60, 10, 120, 50], ['apple', 36, 14, 2.4, 120, 100],\n     ['lentils', 32, 20, 8, 150, 50]]],\n   {'class': 'high', 'gi': 49, 'gl': 87.7}],\n  ['generated control 1', [[['banana', 51, 23, 2.6, 50, 50]]], {'class': 'medium', 'gi': 51, 'gl': 10.4}],\n  ['generated control 2', [[['bread', 75, 49, 2.7, 150, 100]]], {'class': 'high', 'gi': 75, 'gl': 52.1}],\n  ['generated control 3',\n   [[['rice', 73, 28, 0.4, 50, 100], ['juice', 50, 10, 0, 50, 100], ['lentils', 32, 20, 8, 80, 100],\n     ['bread', 75, 49, 2.7, 200, 100]]],\n   {'class': 'high', 'gi': 70, 'gl': 85.1}]],\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: portion scaling',\n   [[['lentils', 32, 20, 8, 30, 50], ['rice', 73, 28, 0.4, 80, 100], ['banana', 51, 23, 2.6, 50, 100],\n     ['juice', 50, 10, 0, 150, 100]]],\n   {'class': 'high', 'gi': 57, 'gl': 31.1}],\n  ['repair check: portion scaling',\n   [[['apple', 36, 14, 2.4, 50, 50], ['rice', 73, 28, 0.4, 150, 100], ['banana', 51, 23, 2.6, 80, 50]]],\n   {'class': 'high', 'gi': 60, 'gl': 51.0}],\n  ['generated control 1', [[['juice', 50, 10, 0, 120, 100]]], {'class': 'low', 'gi': 50, 'gl': 6.0}],\n  ['generated control 2',\n   [[['juice', 50, 10, 0, 30, 100], ['apple', 36, 14, 2.4, 120, 50], ['bread', 75, 49, 2.7, 30, 100],\n     ['banana', 51, 23, 2.6, 200, 100]]],\n   {'class': 'high', 'gi': 50, 'gl': 42.7}],\n  ['generated control 3', [[['apple', 36, 14, 2.4, 50, 100]]], {'class': 'low', 'gi': 36, 'gl': 2.1}]],\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: portion scaling',\n   [[['lentils', 32, 20, 8, 200, 100], ['bread', 75, 49, 2.7, 200, 50], ['juice', 50, 10, 0, 50, 50]]],\n   {'class': 'high', 'gi': 69, 'gl': 151.6}],\n  ['repair check: portion scaling', [[['bread', 75, 49, 2.7, 120, 50], ['rice', 73, 28, 0.4, 50, 100]]],\n   {'class': 'high', 'gi': 75, 'gl': 93.4}],\n  ['generated control 1', [[['rice', 73, 28, 0.4, 120, 100]]], {'class': 'high', 'gi': 73, 'gl': 24.2}],\n  ['generated control 2',\n   [[['banana', 51, 23, 2.6, 120, 50], ['juice', 50, 10, 0, 50, 50], ['oats', 55, 60, 10, 200, 50],\n     ['apple', 36, 14, 2.4, 150, 100]]],\n   {'class': 'high', 'gi': 53, 'gl': 146.2}],\n  ['generated control 3',\n   [[['lentils', 32, 20, 8, 120, 100], ['banana', 51, 23, 2.6, 80, 100], ['bread', 75, 49, 2.7, 120, 100]]],\n   {'class': 'high', 'gi': 63, 'gl': 54.6}]]]\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":"54a3f42d9c87e56309e2865470a8ad4e605ce2d6badab2c22310d7cc73c32ef2","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))) * Fraction(1)\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: portion scaling', [[['juice', 50, 10, 0, 150, 100], ['oats', 55, 60, 10, 120, 100]]],\n   {'class': 'high', 'gi': 54, 'gl': 40.5}],\n  ['repair check: portion scaling',\n   [[['oats', 55, 60, 10, 200, 100], ['lentils', 32, 20, 8, 30, 50], ['rice', 73, 28, 0.4, 50, 50],\n     ['bread', 75, 49, 2.7, 50, 100]]],\n   {'class': 'high', 'gi': 60, 'gl': 94.8}],\n  ['generated control 1', [[['bread', 75, 49, 2.7, 200, 100], ['oats', 55, 60, 10, 200, 100]]],\n   {'class': 'high', 'gi': 65, 'gl': 124.5}],\n  ['generated control 2',\n   [[['juice', 50, 10, 0, 80, 100], ['oats', 55, 60, 10, 150, 100], ['lentils', 32, 20, 8, 50, 100],\n     ['apple', 36, 14, 2.4, 50, 100]]],\n   {'class': 'high', 'gi': 52, 'gl': 49.3}],\n  ['generated control 3',\n   [[['oats', 55, 60, 10, 80, 100], ['lentils', 32, 20, 8, 200, 50], ['rice', 73, 28, 0.4, 30, 50]]],\n   {'class': 'high', 'gi': 47, 'gl': 49.4}]],\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: portion scaling', [[['lentils', 32, 20, 8, 150, 100]]],\n   {'class': 'low', 'gi': 32, 'gl': 5.8}],\n  ['repair check: portion scaling',\n   [[['banana', 51, 23, 2.6, 30, 50], ['apple', 36, 14, 2.4, 150, 50], ['juice', 50, 10, 0, 120, 100],\n     ['rice', 73, 28, 0.4, 80, 50]]],\n   {'class': 'high', 'gi': 55, 'gl': 57.0}],\n  ['generated control 1',\n   [[['lentils', 32, 20, 8, 120, 100], ['bread', 75, 49, 2.7, 80, 100], ['oats', 55, 60, 10, 150, 100]]],\n   {'class': 'high', 'gi': 58, 'gl': 73.6}],\n  ['generated control 2', [[['lentils', 32, 20, 8, 120, 100], ['apple', 36, 14, 2.4, 200, 100]]],\n   {'class': 'medium', 'gi': 34, 'gl': 13.0}],\n  ['generated control 3', [[['oats', 55, 60, 10, 30, 100], ['lentils', 32, 20, 8, 30, 100]]],\n   {'class': 'low', 'gi': 51, 'gl': 9.4}]],\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: portion scaling', [[['juice', 50, 10, 0, 30, 100], ['oats', 55, 60, 10, 200, 50]]],\n   {'class': 'high', 'gi': 55, 'gl': 111.5}],\n  ['repair check: portion scaling',\n   [[['banana', 51, 23, 2.6, 50, 100], ['oats', 55, 60, 10, 120, 50], ['apple', 36, 14, 2.4, 120, 100],\n     ['lentils', 32, 20, 8, 150, 50]]],\n   {'class': 'high', 'gi': 49, 'gl': 87.7}],\n  ['generated control 1', [[['banana', 51, 23, 2.6, 50, 50]]], {'class': 'medium', 'gi': 51, 'gl': 10.4}],\n  ['generated control 2', [[['bread', 75, 49, 2.7, 150, 100]]], {'class': 'high', 'gi': 75, 'gl': 52.1}],\n  ['generated control 3',\n   [[['rice', 73, 28, 0.4, 50, 100], ['juice', 50, 10, 0, 50, 100], ['lentils', 32, 20, 8, 80, 100],\n     ['bread', 75, 49, 2.7, 200, 100]]],\n   {'class': 'high', 'gi': 70, 'gl': 85.1}]],\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: portion scaling',\n   [[['lentils', 32, 20, 8, 30, 50], ['rice', 73, 28, 0.4, 80, 100], ['banana', 51, 23, 2.6, 50, 100],\n     ['juice', 50, 10, 0, 150, 100]]],\n   {'class': 'high', 'gi': 57, 'gl': 31.1}],\n  ['repair check: portion scaling',\n   [[['apple', 36, 14, 2.4, 50, 50], ['rice', 73, 28, 0.4, 150, 100], ['banana', 51, 23, 2.6, 80, 50]]],\n   {'class': 'high', 'gi': 60, 'gl': 51.0}],\n  ['generated control 1', [[['juice', 50, 10, 0, 120, 100]]], {'class': 'low', 'gi': 50, 'gl': 6.0}],\n  ['generated control 2',\n   [[['juice', 50, 10, 0, 30, 100], ['apple', 36, 14, 2.4, 120, 50], ['bread', 75, 49, 2.7, 30, 100],\n     ['banana', 51, 23, 2.6, 200, 100]]],\n   {'class': 'high', 'gi': 50, 'gl': 42.7}],\n  ['generated control 3', [[['apple', 36, 14, 2.4, 50, 100]]], {'class': 'low', 'gi': 36, 'gl': 2.1}]],\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: portion scaling',\n   [[['lentils', 32, 20, 8, 200, 100], ['bread', 75, 49, 2.7, 200, 50], ['juice', 50, 10, 0, 50, 50]]],\n   {'class': 'high', 'gi': 69, 'gl': 151.6}],\n  ['repair check: portion scaling', [[['bread', 75, 49, 2.7, 120, 50], ['rice', 73, 28, 0.4, 50, 100]]],\n   {'class': 'high', 'gi': 75, 'gl': 93.4}],\n  ['generated control 1', [[['rice', 73, 28, 0.4, 120, 100]]], {'class': 'high', 'gi': 73, 'gl': 24.2}],\n  ['generated control 2',\n   [[['banana', 51, 23, 2.6, 120, 50], ['juice', 50, 10, 0, 50, 50], ['oats', 55, 60, 10, 200, 50],\n     ['apple', 36, 14, 2.4, 150, 100]]],\n   {'class': 'high', 'gi': 53, 'gl': 146.2}],\n  ['generated control 3',\n   [[['lentils', 32, 20, 8, 120, 100], ['banana', 51, 23, 2.6, 80, 100], ['bread', 75, 49, 2.7, 120, 100]]],\n   {'class': 'high', 'gi': 63, 'gl': 54.6}]]]\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-portion-scaling","generated_at":"2026-09-29T14:52:30.073736+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":"Nutrient values are not scaled from the reference weight to the eaten weight.","sha256":"581f88d4672910a8286c4bbe0e93b34f0fb08e3cefb24bca082a81e36c915337","title":"Meal glycemic load: portion scaling · 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":49.026,"exit_code":1,"observations":[{"actual":{"class":"high","gi":73,"gl":30.2},"check":"single food","expected":{"class":"high","gi":73,"gl":30.2},"passed":true},{"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":54,"gl":40.5},"check":"regression: portion scaling","expected":{"class":"high","gi":54,"gl":40.5},"passed":true},{"actual":{"class":"high","gi":59,"gl":83.6},"check":"repair check: portion scaling","expected":{"class":"high","gi":60,"gl":94.8},"passed":false},{"actual":{"class":"high","gi":65,"gl":124.5},"check":"generated control 1","expected":{"class":"high","gi":65,"gl":124.5},"passed":true},{"actual":{"class":"high","gi":52,"gl":49.3},"check":"generated control 2","expected":{"class":"high","gi":52,"gl":49.3},"passed":true},{"actual":{"class":"high","gi":49,"gl":35.7},"check":"generated control 3","expected":{"class":"high","gi":47,"gl":49.4},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"single food\", \"actual\": {\"gi\": 73, \"gl\": 30.2, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 73, \"gl\": 30.2}, \"passed\": true}, {\"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: portion scaling\", \"actual\": {\"gi\": 54, \"gl\": 40.5, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 54, \"gl\": 40.5}, \"passed\": true}, {\"check\": \"repair check: portion scaling\", \"actual\": {\"gi\": 59, \"gl\": 83.6, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 60, \"gl\": 94.8}, \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": {\"gi\": 65, \"gl\": 124.5, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 65, \"gl\": 124.5}, \"passed\": true}, {\"check\": \"generated control 2\", \"actual\": {\"gi\": 52, \"gl\": 49.3, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 52, \"gl\": 49.3}, \"passed\": true}, {\"check\": \"generated control 3\", \"actual\": {\"gi\": 49, \"gl\": 35.7, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 47, \"gl\": 49.4}, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":49.34,"exit_code":1,"observations":[{"actual":{"class":"high","gi":73,"gl":20.1},"check":"single food","expected":{"class":"high","gi":73,"gl":30.2},"passed":false},{"actual":{"class":"low","gi":50,"gl":5.0},"check":"load exactly ten","expected":{"class":"low","gi":50,"gl":10.0},"passed":false},{"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":54,"gl":32.5},"check":"regression: portion scaling","expected":{"class":"high","gi":54,"gl":40.5},"passed":false},{"actual":{"class":"high","gi":63,"gl":86.2},"check":"repair check: portion scaling","expected":{"class":"high","gi":60,"gl":94.8},"passed":false},{"actual":{"class":"high","gi":65,"gl":62.2},"check":"generated control 1","expected":{"class":"high","gi":65,"gl":124.5},"passed":false},{"actual":{"class":"high","gi":48,"gl":40.5},"check":"generated control 2","expected":{"class":"high","gi":52,"gl":49.3},"passed":false},{"actual":{"class":"high","gi":57,"gl":51.5},"check":"generated control 3","expected":{"class":"high","gi":47,"gl":49.4},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"single food\", \"actual\": {\"gi\": 73, \"gl\": 20.1, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 73, \"gl\": 30.2}, \"passed\": false}, {\"check\": \"load exactly ten\", \"actual\": {\"gi\": 50, \"gl\": 5.0, \"class\": \"low\"}, \"expected\": {\"class\": \"low\", \"gi\": 50, \"gl\": 10.0}, \"passed\": false}, {\"check\": \"no carbs\", \"actual\": {\"gi\": null, \"gl\": 0.0, \"class\": \"low\"}, \"expected\": {\"class\": \"low\", \"gi\": null, \"gl\": 0.0}, \"passed\": true}, {\"check\": \"regression: portion scaling\", \"actual\": {\"gi\": 54, \"gl\": 32.5, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 54, \"gl\": 40.5}, \"passed\": false}, {\"check\": \"repair check: portion scaling\", \"actual\": {\"gi\": 63, \"gl\": 86.2, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 60, \"gl\": 94.8}, \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": {\"gi\": 65, \"gl\": 62.2, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 65, \"gl\": 124.5}, \"passed\": false}, {\"check\": \"generated control 2\", \"actual\": {\"gi\": 48, \"gl\": 40.5, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 52, \"gl\": 49.3}, \"passed\": false}, {\"check\": \"generated control 3\", \"actual\": {\"gi\": 57, \"gl\": 51.5, \"class\": \"high\"}, \"expected\": {\"class\": \"high\", \"gi\": 47, \"gl\": 49.4}, \"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."}}