{"abstract":"A roast that loses 25% water appears to lose 25% of its calories per serving.","category":"Recipe scaling and nutrition","checks":8,"contract":"Rows [name, raw_g, kcal_per_100g, sodium_mg_per_100g, use]; use \"eat\" counts fully, \"marinade\" retains 1/5 of its weight and nutrients, \"discard\" contributes nothing. Cooked weight = retained raw weight * yield_pct/100 (moisture loss changes weight, not energy or sodium). Return half-up integers: serving_g = cooked/servings, kcal and sodium_mg per serving, kcal_per_100g of cooked dish (0 if nothing is retained). servings < 1 returns an error string.","evaluation_group":"w2-recipe_scaling_and_nutrition-cooked-yield-nutrition","failed_approach":"Dividing by the yield inflates energy by the same factor the bug deflated it.","family":"w2-recipe_scaling_and_nutrition-cooked-yield-nutrition-energy-under-moisture-loss","id":"FA-96956","implementations":{"attempt":{"sha256":"5c20c441fa8136c2aa9cd79ea097d485c3cdd95a3fd1697c0cd55c57c07b93be","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(ingredients, yield_pct, servings):\n    if servings < 1:\n        return 'error: servings'\n    kcal = Fraction(0)\n    na = Fraction(0)\n    raw = Fraction(0)\n    for name, g, k, s, use in ingredients:\n        if use == 'discard':\n            continue\n        share = Fraction(1, 5) if use == 'marinade' else Fraction(1)\n        grams = Fraction(g) * share\n        raw += grams\n        kcal += grams * k / 100\n        na += grams * s / 100\n    cooked = raw * Fraction(yield_pct, 100)\n    def r(x):\n        return math.floor(x + Fraction(1, 2))\n    return {'serving_g': r(cooked / servings), 'kcal': r(kcal / Fraction(yield_pct, 100) / servings), 'sodium_mg': r(na / servings),\n            'kcal_per_100g': r(kcal * 100 / cooked) if cooked else 0}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['regression: energy under moisture loss',\n   [[['stock', 510, 10, 350, 'eat'], ['rice', 310, 130, 1, 'eat'], ['bay leaf', 27, 313, 23, 'eat']], 80, 3],\n   {'kcal': 180, 'kcal_per_100g': 79, 'serving_g': 226, 'sodium_mg': 598}],\n  ['repair check: energy under moisture loss',\n   [[['soy marinade', 210, 60, 5500, 'marinade'], ['onion', 175, 40, 4, 'eat'],\n     ['chicken', 625, 165, 70, 'eat']],\n    110, 4],\n   {'kcal': 282, 'kcal_per_100g': 122, 'serving_g': 232, 'sodium_mg': 689}],\n  ['generated control 1',\n   [[['soy marinade', 200, 60, 5500, 'marinade'], ['stock', 500, 10, 350, 'eat']], 80, 5],\n   {'kcal': 15, 'kcal_per_100g': 17, 'serving_g': 86, 'sodium_mg': 790}],\n  ['generated control 2',\n   [[['rice', 300, 130, 1, 'eat'], ['chicken', 610, 165, 70, 'eat'], ['stock', 500, 10, 350, 'marinade']], 70,\n    2],\n   {'kcal': 703, 'kcal_per_100g': 199, 'serving_g': 354, 'sodium_mg': 390}],\n  ['generated control 3',\n   [[['onion', 150, 40, 4, 'eat'], ['lemon rind', 45, 47, 6, 'discard'], ['chicken', 610, 165, 70, 'eat']],\n    75, 1],\n   {'kcal': 1067, 'kcal_per_100g': 187, 'serving_g': 570, 'sodium_mg': 433}]],\n [['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['marinated chicken',\n   [[['chicken', 600, 165, 70, 'eat'], ['soy marinade', 200, 60, 5500, 'marinade']], 75, 4],\n   {'kcal': 254, 'kcal_per_100g': 211, 'serving_g': 120, 'sodium_mg': 655}],\n  ['regression: energy under moisture loss',\n   [[['bay leaf', 12, 313, 23, 'eat'], ['rice', 310, 130, 1, 'eat'], ['chicken', 610, 165, 70, 'eat'],\n     ['lemon rind', 30, 47, 6, 'discard'], ['oil', 55, 884, 0, 'eat']],\n    110, 4],\n   {'kcal': 483, 'kcal_per_100g': 178, 'serving_g': 271, 'sodium_mg': 108}],\n  ['repair check: energy under moisture loss',\n   [[['stock', 525, 10, 350, 'eat'], ['oil', 55, 884, 0, 'eat'], ['bay leaf', 2, 313, 23, 'discard'],\n     ['chicken', 610, 165, 70, 'eat']],\n    90, 2],\n   {'kcal': 773, 'kcal_per_100g': 144, 'serving_g': 536, 'sodium_mg': 1132}],\n  ['generated control 1',\n   [[['soy marinade', 225, 60, 5500, 'marinade'], ['chicken', 625, 165, 70, 'eat'],\n     ['lemon rind', 20, 47, 6, 'discard'], ['oil', 40, 884, 0, 'eat'], ['bay leaf', 27, 313, 23, 'discard']],\n    100, 1],\n   {'kcal': 1412, 'kcal_per_100g': 199, 'serving_g': 710, 'sodium_mg': 2913}],\n  ['generated control 2',\n   [[['bay leaf', 2, 313, 23, 'discard'], ['onion', 150, 40, 4, 'eat'], ['rice', 325, 130, 1, 'eat'],\n     ['stock', 510, 10, 350, 'eat'], ['soy marinade', 210, 60, 5500, 'marinade']],\n    90, 6],\n   {'kcal': 93, 'kcal_per_100g': 60, 'serving_g': 154, 'sodium_mg': 684}],\n  ['generated control 3',\n   [[['soy marinade', 200, 60, 5500, 'marinade'], ['chicken', 625, 165, 70, 'eat'],\n     ['lemon rind', 20, 47, 6, 'discard'], ['rice', 325, 130, 1, 'eat'], ['onion', 160, 40, 4, 'eat']],\n    90, 3],\n   {'kcal': 514, 'kcal_per_100g': 149, 'serving_g': 345, 'sodium_mg': 882}]],\n [['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['marinated chicken',\n   [[['chicken', 600, 165, 70, 'eat'], ['soy marinade', 200, 60, 5500, 'marinade']], 75, 4],\n   {'kcal': 254, 'kcal_per_100g': 211, 'serving_g': 120, 'sodium_mg': 655}],\n  ['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['regression: energy under moisture loss',\n   [[['soy marinade', 210, 60, 5500, 'marinade'], ['onion', 160, 40, 4, 'eat'], ['rice', 300, 130, 1, 'eat']],\n    80, 5],\n   {'kcal': 96, 'kcal_per_100g': 119, 'serving_g': 80, 'sodium_mg': 464}],\n  ['repair check: energy under moisture loss',\n   [[['chicken', 610, 165, 70, 'eat'], ['lemon rind', 20, 47, 6, 'eat']], 90, 5],\n   {'kcal': 203, 'kcal_per_100g': 179, 'serving_g': 113, 'sodium_mg': 86}],\n  ['generated control 1',\n   [[['rice', 300, 130, 1, 'eat'], ['oil', 40, 884, 0, 'eat'], ['chicken', 625, 165, 70, 'eat'],\n     ['soy marinade', 200, 60, 5500, 'marinade']],\n    100, 6],\n   {'kcal': 300, 'kcal_per_100g': 179, 'serving_g': 168, 'sodium_mg': 440}],\n  ['generated control 2',\n   [[['bay leaf', 27, 313, 23, 'discard'], ['chicken', 625, 165, 70, 'eat'],\n     ['soy marinade', 210, 60, 5500, 'marinade']],\n    75, 4],\n   {'kcal': 264, 'kcal_per_100g': 211, 'serving_g': 125, 'sodium_mg': 687}],\n  ['generated control 3',\n   [[['bay leaf', 27, 313, 23, 'discard'], ['oil', 30, 884, 0, 'eat'],\n     ['soy marinade', 200, 60, 5500, 'marinade'], ['stock', 500, 10, 350, 'eat'],\n     ['chicken', 625, 165, 70, 'eat']],\n    100, 2],\n   {'kcal': 685, 'kcal_per_100g': 115, 'serving_g': 598, 'sodium_mg': 2194}]],\n [['marinated chicken',\n   [[['chicken', 600, 165, 70, 'eat'], ['soy marinade', 200, 60, 5500, 'marinade']], 75, 4],\n   {'kcal': 254, 'kcal_per_100g': 211, 'serving_g': 120, 'sodium_mg': 655}],\n  ['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['regression: energy under moisture loss',\n   [[['bay leaf', 12, 313, 23, 'marinade'], ['soy marinade', 200, 60, 5500, 'marinade'],\n     ['rice', 325, 130, 1, 'eat'], ['lemon rind', 20, 47, 6, 'eat']],\n    90, 2],\n   {'kcal': 232, 'kcal_per_100g': 133, 'serving_g': 174, 'sodium_mg': 1103}],\n  ['repair check: energy under moisture loss',\n   [[['lemon rind', 45, 47, 6, 'discard'], ['oil', 40, 884, 0, 'eat']], 70, 4],\n   {'kcal': 88, 'kcal_per_100g': 1263, 'serving_g': 7, 'sodium_mg': 0}],\n  ['generated control 1',\n   [[['soy marinade', 210, 60, 5500, 'marinade'], ['bay leaf', 2, 313, 23, 'eat'],\n     ['onion', 160, 40, 4, 'eat'], ['stock', 510, 10, 350, 'eat']],\n    70, 1],\n   {'kcal': 146, 'kcal_per_100g': 29, 'serving_g': 500, 'sodium_mg': 4102}],\n  ['generated control 2', [[['rice', 300, 130, 1, 'eat'], ['stock', 510, 10, 350, 'eat']], 110, 6],\n   {'kcal': 74, 'kcal_per_100g': 49, 'serving_g': 149, 'sodium_mg': 298}],\n  ['generated control 3',\n   [[['chicken', 600, 165, 70, 'marinade'], ['rice', 325, 130, 1, 'eat'], ['lemon rind', 45, 47, 6, 'eat']],\n    110, 1],\n   {'kcal': 642, 'kcal_per_100g': 119, 'serving_g': 539, 'sodium_mg': 90}]],\n [['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['regression: energy under moisture loss',\n   [[['bay leaf', 27, 313, 23, 'discard'], ['lemon rind', 30, 47, 6, 'discard'], ['oil', 30, 884, 0, 'eat'],\n     ['chicken', 625, 165, 70, 'marinade'], ['stock', 525, 10, 350, 'marinade']],\n    75, 5],\n   {'kcal': 96, 'kcal_per_100g': 247, 'serving_g': 39, 'sodium_mg': 91}],\n  ['repair check: energy under moisture loss',\n   [[['oil', 40, 884, 0, 'eat'], ['onion', 160, 40, 4, 'eat']], 70, 6],\n   {'kcal': 70, 'kcal_per_100g': 298, 'serving_g': 23, 'sodium_mg': 1}],\n  ['generated control 1', [[['rice', 310, 130, 1, 'eat'], ['stock', 510, 10, 350, 'eat']], 110, 6],\n   {'kcal': 76, 'kcal_per_100g': 50, 'serving_g': 150, 'sodium_mg': 298}],\n  ['generated control 2',\n   [[['stock', 525, 10, 350, 'eat'], ['rice', 325, 130, 1, 'eat'], ['lemon rind', 20, 47, 6, 'discard'],\n     ['oil', 55, 884, 0, 'eat']],\n    70, 1],\n   {'kcal': 961, 'kcal_per_100g': 152, 'serving_g': 634, 'sodium_mg': 1841}],\n  ['generated control 3',\n   [[['soy marinade', 225, 60, 5500, 'marinade'], ['chicken', 610, 165, 70, 'marinade']], 60, 6],\n   {'kcal': 38, 'kcal_per_100g': 228, 'serving_g': 17, 'sodium_mg': 427}]]]\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":"e89b60ff499311e01c3e2529b550a19d89256cf18cfab5ef3ee7b6b7f593f8d1","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(ingredients, yield_pct, servings):\n    if servings < 1:\n        return 'error: servings'\n    kcal = Fraction(0)\n    na = Fraction(0)\n    raw = Fraction(0)\n    for name, g, k, s, use in ingredients:\n        if use == 'discard':\n            continue\n        share = Fraction(1, 5) if use == 'marinade' else Fraction(1)\n        grams = Fraction(g) * share\n        raw += grams\n        kcal += grams * k / 100\n        na += grams * s / 100\n    cooked = raw * Fraction(yield_pct, 100)\n    def r(x):\n        return math.floor(x + Fraction(1, 2))\n    return {'serving_g': r(cooked / servings), 'kcal': r(kcal * Fraction(yield_pct, 100) / servings), 'sodium_mg': r(na / servings),\n            'kcal_per_100g': r(kcal * 100 / cooked) if cooked else 0}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['regression: energy under moisture loss',\n   [[['stock', 510, 10, 350, 'eat'], ['rice', 310, 130, 1, 'eat'], ['bay leaf', 27, 313, 23, 'eat']], 80, 3],\n   {'kcal': 180, 'kcal_per_100g': 79, 'serving_g': 226, 'sodium_mg': 598}],\n  ['repair check: energy under moisture loss',\n   [[['soy marinade', 210, 60, 5500, 'marinade'], ['onion', 175, 40, 4, 'eat'],\n     ['chicken', 625, 165, 70, 'eat']],\n    110, 4],\n   {'kcal': 282, 'kcal_per_100g': 122, 'serving_g': 232, 'sodium_mg': 689}],\n  ['generated control 1',\n   [[['soy marinade', 200, 60, 5500, 'marinade'], ['stock', 500, 10, 350, 'eat']], 80, 5],\n   {'kcal': 15, 'kcal_per_100g': 17, 'serving_g': 86, 'sodium_mg': 790}],\n  ['generated control 2',\n   [[['rice', 300, 130, 1, 'eat'], ['chicken', 610, 165, 70, 'eat'], ['stock', 500, 10, 350, 'marinade']], 70,\n    2],\n   {'kcal': 703, 'kcal_per_100g': 199, 'serving_g': 354, 'sodium_mg': 390}],\n  ['generated control 3',\n   [[['onion', 150, 40, 4, 'eat'], ['lemon rind', 45, 47, 6, 'discard'], ['chicken', 610, 165, 70, 'eat']],\n    75, 1],\n   {'kcal': 1067, 'kcal_per_100g': 187, 'serving_g': 570, 'sodium_mg': 433}]],\n [['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['marinated chicken',\n   [[['chicken', 600, 165, 70, 'eat'], ['soy marinade', 200, 60, 5500, 'marinade']], 75, 4],\n   {'kcal': 254, 'kcal_per_100g': 211, 'serving_g': 120, 'sodium_mg': 655}],\n  ['regression: energy under moisture loss',\n   [[['bay leaf', 12, 313, 23, 'eat'], ['rice', 310, 130, 1, 'eat'], ['chicken', 610, 165, 70, 'eat'],\n     ['lemon rind', 30, 47, 6, 'discard'], ['oil', 55, 884, 0, 'eat']],\n    110, 4],\n   {'kcal': 483, 'kcal_per_100g': 178, 'serving_g': 271, 'sodium_mg': 108}],\n  ['repair check: energy under moisture loss',\n   [[['stock', 525, 10, 350, 'eat'], ['oil', 55, 884, 0, 'eat'], ['bay leaf', 2, 313, 23, 'discard'],\n     ['chicken', 610, 165, 70, 'eat']],\n    90, 2],\n   {'kcal': 773, 'kcal_per_100g': 144, 'serving_g': 536, 'sodium_mg': 1132}],\n  ['generated control 1',\n   [[['soy marinade', 225, 60, 5500, 'marinade'], ['chicken', 625, 165, 70, 'eat'],\n     ['lemon rind', 20, 47, 6, 'discard'], ['oil', 40, 884, 0, 'eat'], ['bay leaf', 27, 313, 23, 'discard']],\n    100, 1],\n   {'kcal': 1412, 'kcal_per_100g': 199, 'serving_g': 710, 'sodium_mg': 2913}],\n  ['generated control 2',\n   [[['bay leaf', 2, 313, 23, 'discard'], ['onion', 150, 40, 4, 'eat'], ['rice', 325, 130, 1, 'eat'],\n     ['stock', 510, 10, 350, 'eat'], ['soy marinade', 210, 60, 5500, 'marinade']],\n    90, 6],\n   {'kcal': 93, 'kcal_per_100g': 60, 'serving_g': 154, 'sodium_mg': 684}],\n  ['generated control 3',\n   [[['soy marinade', 200, 60, 5500, 'marinade'], ['chicken', 625, 165, 70, 'eat'],\n     ['lemon rind', 20, 47, 6, 'discard'], ['rice', 325, 130, 1, 'eat'], ['onion', 160, 40, 4, 'eat']],\n    90, 3],\n   {'kcal': 514, 'kcal_per_100g': 149, 'serving_g': 345, 'sodium_mg': 882}]],\n [['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['marinated chicken',\n   [[['chicken', 600, 165, 70, 'eat'], ['soy marinade', 200, 60, 5500, 'marinade']], 75, 4],\n   {'kcal': 254, 'kcal_per_100g': 211, 'serving_g': 120, 'sodium_mg': 655}],\n  ['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['regression: energy under moisture loss',\n   [[['soy marinade', 210, 60, 5500, 'marinade'], ['onion', 160, 40, 4, 'eat'], ['rice', 300, 130, 1, 'eat']],\n    80, 5],\n   {'kcal': 96, 'kcal_per_100g': 119, 'serving_g': 80, 'sodium_mg': 464}],\n  ['repair check: energy under moisture loss',\n   [[['chicken', 610, 165, 70, 'eat'], ['lemon rind', 20, 47, 6, 'eat']], 90, 5],\n   {'kcal': 203, 'kcal_per_100g': 179, 'serving_g': 113, 'sodium_mg': 86}],\n  ['generated control 1',\n   [[['rice', 300, 130, 1, 'eat'], ['oil', 40, 884, 0, 'eat'], ['chicken', 625, 165, 70, 'eat'],\n     ['soy marinade', 200, 60, 5500, 'marinade']],\n    100, 6],\n   {'kcal': 300, 'kcal_per_100g': 179, 'serving_g': 168, 'sodium_mg': 440}],\n  ['generated control 2',\n   [[['bay leaf', 27, 313, 23, 'discard'], ['chicken', 625, 165, 70, 'eat'],\n     ['soy marinade', 210, 60, 5500, 'marinade']],\n    75, 4],\n   {'kcal': 264, 'kcal_per_100g': 211, 'serving_g': 125, 'sodium_mg': 687}],\n  ['generated control 3',\n   [[['bay leaf', 27, 313, 23, 'discard'], ['oil', 30, 884, 0, 'eat'],\n     ['soy marinade', 200, 60, 5500, 'marinade'], ['stock', 500, 10, 350, 'eat'],\n     ['chicken', 625, 165, 70, 'eat']],\n    100, 2],\n   {'kcal': 685, 'kcal_per_100g': 115, 'serving_g': 598, 'sodium_mg': 2194}]],\n [['marinated chicken',\n   [[['chicken', 600, 165, 70, 'eat'], ['soy marinade', 200, 60, 5500, 'marinade']], 75, 4],\n   {'kcal': 254, 'kcal_per_100g': 211, 'serving_g': 120, 'sodium_mg': 655}],\n  ['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['regression: energy under moisture loss',\n   [[['bay leaf', 12, 313, 23, 'marinade'], ['soy marinade', 200, 60, 5500, 'marinade'],\n     ['rice', 325, 130, 1, 'eat'], ['lemon rind', 20, 47, 6, 'eat']],\n    90, 2],\n   {'kcal': 232, 'kcal_per_100g': 133, 'serving_g': 174, 'sodium_mg': 1103}],\n  ['repair check: energy under moisture loss',\n   [[['lemon rind', 45, 47, 6, 'discard'], ['oil', 40, 884, 0, 'eat']], 70, 4],\n   {'kcal': 88, 'kcal_per_100g': 1263, 'serving_g': 7, 'sodium_mg': 0}],\n  ['generated control 1',\n   [[['soy marinade', 210, 60, 5500, 'marinade'], ['bay leaf', 2, 313, 23, 'eat'],\n     ['onion', 160, 40, 4, 'eat'], ['stock', 510, 10, 350, 'eat']],\n    70, 1],\n   {'kcal': 146, 'kcal_per_100g': 29, 'serving_g': 500, 'sodium_mg': 4102}],\n  ['generated control 2', [[['rice', 300, 130, 1, 'eat'], ['stock', 510, 10, 350, 'eat']], 110, 6],\n   {'kcal': 74, 'kcal_per_100g': 49, 'serving_g': 149, 'sodium_mg': 298}],\n  ['generated control 3',\n   [[['chicken', 600, 165, 70, 'marinade'], ['rice', 325, 130, 1, 'eat'], ['lemon rind', 45, 47, 6, 'eat']],\n    110, 1],\n   {'kcal': 642, 'kcal_per_100g': 119, 'serving_g': 539, 'sodium_mg': 90}]],\n [['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['regression: energy under moisture loss',\n   [[['bay leaf', 27, 313, 23, 'discard'], ['lemon rind', 30, 47, 6, 'discard'], ['oil', 30, 884, 0, 'eat'],\n     ['chicken', 625, 165, 70, 'marinade'], ['stock', 525, 10, 350, 'marinade']],\n    75, 5],\n   {'kcal': 96, 'kcal_per_100g': 247, 'serving_g': 39, 'sodium_mg': 91}],\n  ['repair check: energy under moisture loss',\n   [[['oil', 40, 884, 0, 'eat'], ['onion', 160, 40, 4, 'eat']], 70, 6],\n   {'kcal': 70, 'kcal_per_100g': 298, 'serving_g': 23, 'sodium_mg': 1}],\n  ['generated control 1', [[['rice', 310, 130, 1, 'eat'], ['stock', 510, 10, 350, 'eat']], 110, 6],\n   {'kcal': 76, 'kcal_per_100g': 50, 'serving_g': 150, 'sodium_mg': 298}],\n  ['generated control 2',\n   [[['stock', 525, 10, 350, 'eat'], ['rice', 325, 130, 1, 'eat'], ['lemon rind', 20, 47, 6, 'discard'],\n     ['oil', 55, 884, 0, 'eat']],\n    70, 1],\n   {'kcal': 961, 'kcal_per_100g': 152, 'serving_g': 634, 'sodium_mg': 1841}],\n  ['generated control 3',\n   [[['soy marinade', 225, 60, 5500, 'marinade'], ['chicken', 610, 165, 70, 'marinade']], 60, 6],\n   {'kcal': 38, 'kcal_per_100g': 228, 'serving_g': 17, 'sodium_mg': 427}]]]\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":"554e2bde7ee62e35b79d0d32c68bb1ab4565d3b5e3038184fffb27430f162fca","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(ingredients, yield_pct, servings):\n    if servings < 1:\n        return 'error: servings'\n    kcal = Fraction(0)\n    na = Fraction(0)\n    raw = Fraction(0)\n    for name, g, k, s, use in ingredients:\n        if use == 'discard':\n            continue\n        share = Fraction(1, 5) if use == 'marinade' else Fraction(1)\n        grams = Fraction(g) * share\n        raw += grams\n        kcal += grams * k / 100\n        na += grams * s / 100\n    cooked = raw * Fraction(yield_pct, 100)\n    def r(x):\n        return math.floor(x + Fraction(1, 2))\n    return {'serving_g': r(cooked / servings), 'kcal': r(kcal / servings), 'sodium_mg': r(na / servings),\n            'kcal_per_100g': r(kcal * 100 / cooked) if cooked else 0}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['regression: energy under moisture loss',\n   [[['stock', 510, 10, 350, 'eat'], ['rice', 310, 130, 1, 'eat'], ['bay leaf', 27, 313, 23, 'eat']], 80, 3],\n   {'kcal': 180, 'kcal_per_100g': 79, 'serving_g': 226, 'sodium_mg': 598}],\n  ['repair check: energy under moisture loss',\n   [[['soy marinade', 210, 60, 5500, 'marinade'], ['onion', 175, 40, 4, 'eat'],\n     ['chicken', 625, 165, 70, 'eat']],\n    110, 4],\n   {'kcal': 282, 'kcal_per_100g': 122, 'serving_g': 232, 'sodium_mg': 689}],\n  ['generated control 1',\n   [[['soy marinade', 200, 60, 5500, 'marinade'], ['stock', 500, 10, 350, 'eat']], 80, 5],\n   {'kcal': 15, 'kcal_per_100g': 17, 'serving_g': 86, 'sodium_mg': 790}],\n  ['generated control 2',\n   [[['rice', 300, 130, 1, 'eat'], ['chicken', 610, 165, 70, 'eat'], ['stock', 500, 10, 350, 'marinade']], 70,\n    2],\n   {'kcal': 703, 'kcal_per_100g': 199, 'serving_g': 354, 'sodium_mg': 390}],\n  ['generated control 3',\n   [[['onion', 150, 40, 4, 'eat'], ['lemon rind', 45, 47, 6, 'discard'], ['chicken', 610, 165, 70, 'eat']],\n    75, 1],\n   {'kcal': 1067, 'kcal_per_100g': 187, 'serving_g': 570, 'sodium_mg': 433}]],\n [['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['marinated chicken',\n   [[['chicken', 600, 165, 70, 'eat'], ['soy marinade', 200, 60, 5500, 'marinade']], 75, 4],\n   {'kcal': 254, 'kcal_per_100g': 211, 'serving_g': 120, 'sodium_mg': 655}],\n  ['regression: energy under moisture loss',\n   [[['bay leaf', 12, 313, 23, 'eat'], ['rice', 310, 130, 1, 'eat'], ['chicken', 610, 165, 70, 'eat'],\n     ['lemon rind', 30, 47, 6, 'discard'], ['oil', 55, 884, 0, 'eat']],\n    110, 4],\n   {'kcal': 483, 'kcal_per_100g': 178, 'serving_g': 271, 'sodium_mg': 108}],\n  ['repair check: energy under moisture loss',\n   [[['stock', 525, 10, 350, 'eat'], ['oil', 55, 884, 0, 'eat'], ['bay leaf', 2, 313, 23, 'discard'],\n     ['chicken', 610, 165, 70, 'eat']],\n    90, 2],\n   {'kcal': 773, 'kcal_per_100g': 144, 'serving_g': 536, 'sodium_mg': 1132}],\n  ['generated control 1',\n   [[['soy marinade', 225, 60, 5500, 'marinade'], ['chicken', 625, 165, 70, 'eat'],\n     ['lemon rind', 20, 47, 6, 'discard'], ['oil', 40, 884, 0, 'eat'], ['bay leaf', 27, 313, 23, 'discard']],\n    100, 1],\n   {'kcal': 1412, 'kcal_per_100g': 199, 'serving_g': 710, 'sodium_mg': 2913}],\n  ['generated control 2',\n   [[['bay leaf', 2, 313, 23, 'discard'], ['onion', 150, 40, 4, 'eat'], ['rice', 325, 130, 1, 'eat'],\n     ['stock', 510, 10, 350, 'eat'], ['soy marinade', 210, 60, 5500, 'marinade']],\n    90, 6],\n   {'kcal': 93, 'kcal_per_100g': 60, 'serving_g': 154, 'sodium_mg': 684}],\n  ['generated control 3',\n   [[['soy marinade', 200, 60, 5500, 'marinade'], ['chicken', 625, 165, 70, 'eat'],\n     ['lemon rind', 20, 47, 6, 'discard'], ['rice', 325, 130, 1, 'eat'], ['onion', 160, 40, 4, 'eat']],\n    90, 3],\n   {'kcal': 514, 'kcal_per_100g': 149, 'serving_g': 345, 'sodium_mg': 882}]],\n [['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['marinated chicken',\n   [[['chicken', 600, 165, 70, 'eat'], ['soy marinade', 200, 60, 5500, 'marinade']], 75, 4],\n   {'kcal': 254, 'kcal_per_100g': 211, 'serving_g': 120, 'sodium_mg': 655}],\n  ['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['regression: energy under moisture loss',\n   [[['soy marinade', 210, 60, 5500, 'marinade'], ['onion', 160, 40, 4, 'eat'], ['rice', 300, 130, 1, 'eat']],\n    80, 5],\n   {'kcal': 96, 'kcal_per_100g': 119, 'serving_g': 80, 'sodium_mg': 464}],\n  ['repair check: energy under moisture loss',\n   [[['chicken', 610, 165, 70, 'eat'], ['lemon rind', 20, 47, 6, 'eat']], 90, 5],\n   {'kcal': 203, 'kcal_per_100g': 179, 'serving_g': 113, 'sodium_mg': 86}],\n  ['generated control 1',\n   [[['rice', 300, 130, 1, 'eat'], ['oil', 40, 884, 0, 'eat'], ['chicken', 625, 165, 70, 'eat'],\n     ['soy marinade', 200, 60, 5500, 'marinade']],\n    100, 6],\n   {'kcal': 300, 'kcal_per_100g': 179, 'serving_g': 168, 'sodium_mg': 440}],\n  ['generated control 2',\n   [[['bay leaf', 27, 313, 23, 'discard'], ['chicken', 625, 165, 70, 'eat'],\n     ['soy marinade', 210, 60, 5500, 'marinade']],\n    75, 4],\n   {'kcal': 264, 'kcal_per_100g': 211, 'serving_g': 125, 'sodium_mg': 687}],\n  ['generated control 3',\n   [[['bay leaf', 27, 313, 23, 'discard'], ['oil', 30, 884, 0, 'eat'],\n     ['soy marinade', 200, 60, 5500, 'marinade'], ['stock', 500, 10, 350, 'eat'],\n     ['chicken', 625, 165, 70, 'eat']],\n    100, 2],\n   {'kcal': 685, 'kcal_per_100g': 115, 'serving_g': 598, 'sodium_mg': 2194}]],\n [['marinated chicken',\n   [[['chicken', 600, 165, 70, 'eat'], ['soy marinade', 200, 60, 5500, 'marinade']], 75, 4],\n   {'kcal': 254, 'kcal_per_100g': 211, 'serving_g': 120, 'sodium_mg': 655}],\n  ['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['regression: energy under moisture loss',\n   [[['bay leaf', 12, 313, 23, 'marinade'], ['soy marinade', 200, 60, 5500, 'marinade'],\n     ['rice', 325, 130, 1, 'eat'], ['lemon rind', 20, 47, 6, 'eat']],\n    90, 2],\n   {'kcal': 232, 'kcal_per_100g': 133, 'serving_g': 174, 'sodium_mg': 1103}],\n  ['repair check: energy under moisture loss',\n   [[['lemon rind', 45, 47, 6, 'discard'], ['oil', 40, 884, 0, 'eat']], 70, 4],\n   {'kcal': 88, 'kcal_per_100g': 1263, 'serving_g': 7, 'sodium_mg': 0}],\n  ['generated control 1',\n   [[['soy marinade', 210, 60, 5500, 'marinade'], ['bay leaf', 2, 313, 23, 'eat'],\n     ['onion', 160, 40, 4, 'eat'], ['stock', 510, 10, 350, 'eat']],\n    70, 1],\n   {'kcal': 146, 'kcal_per_100g': 29, 'serving_g': 500, 'sodium_mg': 4102}],\n  ['generated control 2', [[['rice', 300, 130, 1, 'eat'], ['stock', 510, 10, 350, 'eat']], 110, 6],\n   {'kcal': 74, 'kcal_per_100g': 49, 'serving_g': 149, 'sodium_mg': 298}],\n  ['generated control 3',\n   [[['chicken', 600, 165, 70, 'marinade'], ['rice', 325, 130, 1, 'eat'], ['lemon rind', 45, 47, 6, 'eat']],\n    110, 1],\n   {'kcal': 642, 'kcal_per_100g': 119, 'serving_g': 539, 'sodium_mg': 90}]],\n [['plain dish', [[['rice', 300, 130, 1, 'eat']], 100, 3],\n   {'kcal': 130, 'kcal_per_100g': 130, 'serving_g': 100, 'sodium_mg': 1}],\n  ['zero servings', [[['rice', 300, 130, 1, 'eat']], 80, 0], 'error: servings'],\n  ['only discarded aromatics', [[['bay leaf', 2, 313, 23, 'discard']], 90, 2],\n   {'kcal': 0, 'kcal_per_100g': 0, 'serving_g': 0, 'sodium_mg': 0}],\n  ['regression: energy under moisture loss',\n   [[['bay leaf', 27, 313, 23, 'discard'], ['lemon rind', 30, 47, 6, 'discard'], ['oil', 30, 884, 0, 'eat'],\n     ['chicken', 625, 165, 70, 'marinade'], ['stock', 525, 10, 350, 'marinade']],\n    75, 5],\n   {'kcal': 96, 'kcal_per_100g': 247, 'serving_g': 39, 'sodium_mg': 91}],\n  ['repair check: energy under moisture loss',\n   [[['oil', 40, 884, 0, 'eat'], ['onion', 160, 40, 4, 'eat']], 70, 6],\n   {'kcal': 70, 'kcal_per_100g': 298, 'serving_g': 23, 'sodium_mg': 1}],\n  ['generated control 1', [[['rice', 310, 130, 1, 'eat'], ['stock', 510, 10, 350, 'eat']], 110, 6],\n   {'kcal': 76, 'kcal_per_100g': 50, 'serving_g': 150, 'sodium_mg': 298}],\n  ['generated control 2',\n   [[['stock', 525, 10, 350, 'eat'], ['rice', 325, 130, 1, 'eat'], ['lemon rind', 20, 47, 6, 'discard'],\n     ['oil', 55, 884, 0, 'eat']],\n    70, 1],\n   {'kcal': 961, 'kcal_per_100g': 152, 'serving_g': 634, 'sodium_mg': 1841}],\n  ['generated control 3',\n   [[['soy marinade', 225, 60, 5500, 'marinade'], ['chicken', 610, 165, 70, 'marinade']], 60, 6],\n   {'kcal': 38, 'kcal_per_100g': 228, 'serving_g': 17, 'sodium_mg': 427}]]]\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-cooked-yield-nutrition-energy-under-moisture-loss","generated_at":"2026-09-29T14:52:27.496722+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Recipe nutrition must account for cooking moisture loss and for marinades and aromatics that are not eaten.","repair":"Divide the retained raw energy by servings without applying the yield.","root_cause":"Per-serving energy is multiplied by the cooking yield, although evaporated water carries no energy.","sha256":"359a18f3cd6512d4c052b64e93235d1637bd3d8058ba4f0a6bb0634c7c981a12","title":"Cooked-yield nutrition per serving: energy under moisture loss · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":42.372,"exit_code":1,"observations":[{"actual":{"kcal":130,"kcal_per_100g":130,"serving_g":100,"sodium_mg":1},"check":"plain dish","expected":{"kcal":130,"kcal_per_100g":130,"serving_g":100,"sodium_mg":1},"passed":true},{"actual":"error: servings","check":"zero servings","expected":"error: servings","passed":true},{"actual":{"kcal":0,"kcal_per_100g":0,"serving_g":0,"sodium_mg":0},"check":"only discarded aromatics","expected":{"kcal":0,"kcal_per_100g":0,"serving_g":0,"sodium_mg":0},"passed":true},{"actual":{"kcal":224,"kcal_per_100g":79,"serving_g":226,"sodium_mg":598},"check":"regression: energy under moisture loss","expected":{"kcal":180,"kcal_per_100g":79,"serving_g":226,"sodium_mg":598},"passed":false},{"actual":{"kcal":256,"kcal_per_100g":122,"serving_g":232,"sodium_mg":689},"check":"repair check: energy under moisture loss","expected":{"kcal":282,"kcal_per_100g":122,"serving_g":232,"sodium_mg":689},"passed":false},{"actual":{"kcal":19,"kcal_per_100g":17,"serving_g":86,"sodium_mg":790},"check":"generated control 1","expected":{"kcal":15,"kcal_per_100g":17,"serving_g":86,"sodium_mg":790},"passed":false},{"actual":{"kcal":1005,"kcal_per_100g":199,"serving_g":354,"sodium_mg":390},"check":"generated control 2","expected":{"kcal":703,"kcal_per_100g":199,"serving_g":354,"sodium_mg":390},"passed":false},{"actual":{"kcal":1422,"kcal_per_100g":187,"serving_g":570,"sodium_mg":433},"check":"generated control 3","expected":{"kcal":1067,"kcal_per_100g":187,"serving_g":570,"sodium_mg":433},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"plain dish\", \"actual\": {\"serving_g\": 100, \"kcal\": 130, \"sodium_mg\": 1, \"kcal_per_100g\": 130}, \"expected\": {\"kcal\": 130, \"kcal_per_100g\": 130, \"serving_g\": 100, \"sodium_mg\": 1}, \"passed\": true}, {\"check\": \"zero servings\", \"actual\": \"error: servings\", \"expected\": \"error: servings\", \"passed\": true}, {\"check\": \"only discarded aromatics\", \"actual\": {\"serving_g\": 0, \"kcal\": 0, \"sodium_mg\": 0, \"kcal_per_100g\": 0}, \"expected\": {\"kcal\": 0, \"kcal_per_100g\": 0, \"serving_g\": 0, \"sodium_mg\": 0}, \"passed\": true}, {\"check\": \"regression: energy under moisture loss\", \"actual\": {\"serving_g\": 226, \"kcal\": 224, \"sodium_mg\": 598, \"kcal_per_100g\": 79}, \"expected\": {\"kcal\": 180, \"kcal_per_100g\": 79, \"serving_g\": 226, \"sodium_mg\": 598}, \"passed\": false}, {\"check\": \"repair check: energy under moisture loss\", \"actual\": {\"serving_g\": 232, \"kcal\": 256, \"sodium_mg\": 689, \"kcal_per_100g\": 122}, \"expected\": {\"kcal\": 282, \"kcal_per_100g\": 122, \"serving_g\": 232, \"sodium_mg\": 689}, \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": {\"serving_g\": 86, \"kcal\": 19, \"sodium_mg\": 790, \"kcal_per_100g\": 17}, \"expected\": {\"kcal\": 15, \"kcal_per_100g\": 17, \"serving_g\": 86, \"sodium_mg\": 790}, \"passed\": false}, {\"check\": \"generated control 2\", \"actual\": {\"serving_g\": 354, \"kcal\": 1005, \"sodium_mg\": 390, \"kcal_per_100g\": 199}, \"expected\": {\"kcal\": 703, \"kcal_per_100g\": 199, \"serving_g\": 354, \"sodium_mg\": 390}, \"passed\": false}, {\"check\": \"generated control 3\", \"actual\": {\"serving_g\": 570, \"kcal\": 1422, \"sodium_mg\": 433, \"kcal_per_100g\": 187}, \"expected\": {\"kcal\": 1067, \"kcal_per_100g\": 187, \"serving_g\": 570, \"sodium_mg\": 433}, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.19,"exit_code":1,"observations":[{"actual":{"kcal":130,"kcal_per_100g":130,"serving_g":100,"sodium_mg":1},"check":"plain dish","expected":{"kcal":130,"kcal_per_100g":130,"serving_g":100,"sodium_mg":1},"passed":true},{"actual":"error: servings","check":"zero servings","expected":"error: servings","passed":true},{"actual":{"kcal":0,"kcal_per_100g":0,"serving_g":0,"sodium_mg":0},"check":"only discarded aromatics","expected":{"kcal":0,"kcal_per_100g":0,"serving_g":0,"sodium_mg":0},"passed":true},{"actual":{"kcal":144,"kcal_per_100g":79,"serving_g":226,"sodium_mg":598},"check":"regression: energy under moisture loss","expected":{"kcal":180,"kcal_per_100g":79,"serving_g":226,"sodium_mg":598},"passed":false},{"actual":{"kcal":310,"kcal_per_100g":122,"serving_g":232,"sodium_mg":689},"check":"repair check: energy under moisture loss","expected":{"kcal":282,"kcal_per_100g":122,"serving_g":232,"sodium_mg":689},"passed":false},{"actual":{"kcal":12,"kcal_per_100g":17,"serving_g":86,"sodium_mg":790},"check":"generated control 1","expected":{"kcal":15,"kcal_per_100g":17,"serving_g":86,"sodium_mg":790},"passed":false},{"actual":{"kcal":492,"kcal_per_100g":199,"serving_g":354,"sodium_mg":390},"check":"generated control 2","expected":{"kcal":703,"kcal_per_100g":199,"serving_g":354,"sodium_mg":390},"passed":false},{"actual":{"kcal":800,"kcal_per_100g":187,"serving_g":570,"sodium_mg":433},"check":"generated control 3","expected":{"kcal":1067,"kcal_per_100g":187,"serving_g":570,"sodium_mg":433},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"plain dish\", \"actual\": {\"serving_g\": 100, \"kcal\": 130, \"sodium_mg\": 1, \"kcal_per_100g\": 130}, \"expected\": {\"kcal\": 130, \"kcal_per_100g\": 130, \"serving_g\": 100, \"sodium_mg\": 1}, \"passed\": true}, {\"check\": \"zero servings\", \"actual\": \"error: servings\", \"expected\": \"error: servings\", \"passed\": true}, {\"check\": \"only discarded aromatics\", \"actual\": {\"serving_g\": 0, \"kcal\": 0, \"sodium_mg\": 0, \"kcal_per_100g\": 0}, \"expected\": {\"kcal\": 0, \"kcal_per_100g\": 0, \"serving_g\": 0, \"sodium_mg\": 0}, \"passed\": true}, {\"check\": \"regression: energy under moisture loss\", \"actual\": {\"serving_g\": 226, \"kcal\": 144, \"sodium_mg\": 598, \"kcal_per_100g\": 79}, \"expected\": {\"kcal\": 180, \"kcal_per_100g\": 79, \"serving_g\": 226, \"sodium_mg\": 598}, \"passed\": false}, {\"check\": \"repair check: energy under moisture loss\", \"actual\": {\"serving_g\": 232, \"kcal\": 310, \"sodium_mg\": 689, \"kcal_per_100g\": 122}, \"expected\": {\"kcal\": 282, \"kcal_per_100g\": 122, \"serving_g\": 232, \"sodium_mg\": 689}, \"passed\": false}, {\"check\": \"generated control 1\", \"actual\": {\"serving_g\": 86, \"kcal\": 12, \"sodium_mg\": 790, \"kcal_per_100g\": 17}, \"expected\": {\"kcal\": 15, \"kcal_per_100g\": 17, \"serving_g\": 86, \"sodium_mg\": 790}, \"passed\": false}, {\"check\": \"generated control 2\", \"actual\": {\"serving_g\": 354, \"kcal\": 492, \"sodium_mg\": 390, \"kcal_per_100g\": 199}, \"expected\": {\"kcal\": 703, \"kcal_per_100g\": 199, \"serving_g\": 354, \"sodium_mg\": 390}, \"passed\": false}, {\"check\": \"generated control 3\", \"actual\": {\"serving_g\": 570, \"kcal\": 800, \"sodium_mg\": 433, \"kcal_per_100g\": 187}, \"expected\": {\"kcal\": 1067, \"kcal_per_100g\": 187, \"serving_g\": 570, \"sodium_mg\": 433}, \"passed\": false}], \"passed\": false}\n"},"fixed":{"elapsed_ms":43.694,"exit_code":0,"observations":[{"actual":{"kcal":130,"kcal_per_100g":130,"serving_g":100,"sodium_mg":1},"check":"plain dish","expected":{"kcal":130,"kcal_per_100g":130,"serving_g":100,"sodium_mg":1},"passed":true},{"actual":"error: servings","check":"zero servings","expected":"error: servings","passed":true},{"actual":{"kcal":0,"kcal_per_100g":0,"serving_g":0,"sodium_mg":0},"check":"only discarded aromatics","expected":{"kcal":0,"kcal_per_100g":0,"serving_g":0,"sodium_mg":0},"passed":true},{"actual":{"kcal":180,"kcal_per_100g":79,"serving_g":226,"sodium_mg":598},"check":"regression: energy under moisture 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