FA-96881 / Recipe scaling and nutrition / Open access
Nutrition label rounding: fat half-gram band · case 01
2.25 g of fat prints as 2 g instead of 2.5 g.
ROOT CAUSE
Fat between 0.5 and 5 g is rounded to whole grams instead of half grams.
VERIFIED REPAIR
Use the 0.5 g step for fat below 5 g.
Unsuccessful approach: Limiting the half-gram step to fat below 1 g rounds 1.25-4.9 g to whole grams.
Case contract
Round a panel dict to displayed strings (toy label rules, half-up): calories <5 -> 0, <=50 -> nearest 5, else nearest 10; fat g <0.5 -> 0, <5 -> nearest 0.5, else nearest 1; sodium mg <5 -> 0, <=140 -> nearest 5, else nearest 10; cholesterol mg <2 -> "0 mg", <5 -> "less than 5 mg", else nearest 5; carbs g <0.5 -> "0 g", <1 -> "less than 1 g", else nearest 1. Absent keys are omitted. Values print with %g formatting.
Why this case matters
Packaged food and meal-kit labels are generated from recipe nutrition totals with banded rounding rules that differ per nutrient.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(panel):
def near(x, step):
return math.floor(x / step + Fraction(1, 2)) * step
def show(v, unit):
t = format(float(v), 'g')
return t + ' ' + unit if unit else t
out = {}
if 'calories' in panel:
c = Fraction(str(panel['calories']))
out['calories'] = show(0 if c < 5 else near(c, 5) if c <= 50 else near(c, 10), '')
if 'fat' in panel:
x = Fraction(str(panel['fat']))
out['fat'] = show(0 if x < Fraction(1, 2) else near(x, 1) if x < 5 else near(x, 1), 'g')
if 'sodium' in panel:
x = Fraction(str(panel['sodium']))
out['sodium'] = show(0 if x < 5 else near(x, 5) if x <= 140 else near(x, 10), 'mg')
if 'cholesterol' in panel:
x = Fraction(str(panel['cholesterol']))
out['cholesterol'] = '0 mg' if x < 2 else 'less than 5 mg' if x < 5 else show(near(x, 5), 'mg')
if 'carbs' in panel:
x = Fraction(str(panel['carbs']))
out['carbs'] = '0 g' if x < Fraction(1, 2) else 'less than 1 g' if x < 1 else show(near(x, 1), 'g')
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['empty panel', [{}], {}],
['insignificant calories', [{'calories': 4.9, 'fat': 0.4}], {'calories': '0', 'fat': '0 g'}],
['mid-band sodium', [{'carbs': 0.9, 'sodium': 137.5}], {'carbs': 'less than 1 g', 'sodium': '140 mg'}],
['regression: fat half-gram band', [{'calories': 10.75, 'carbs': 0.9, 'fat': 0.5}],
{'calories': '10', 'carbs': 'less than 1 g', 'fat': '0.5 g'}],
['repair check: fat half-gram band', [{'calories': 56, 'carbs': 0.2, 'fat': 1.25, 'sodium': 198}],
{'calories': '60', 'carbs': '0 g', 'fat': '1.5 g', 'sodium': '200 mg'}],
['generated control 1', [{'calories': 43.25, 'carbs': 1.5, 'sodium': 145}],
{'calories': '45', 'carbs': '2 g', 'sodium': '150 mg'}],
['generated control 2', [{'calories': 65.5, 'fat': 2.75, 'sodium': 131.5}],
{'calories': '70', 'fat': '3 g', 'sodium': '130 mg'}],
['generated control 3', [{'calories': 44.25, 'carbs': 30.4, 'fat': 13}],
{'calories': '45', 'carbs': '30 g', 'fat': '13 g'}]],
[['insignificant calories', [{'calories': 4.9, 'fat': 0.4}], {'calories': '0', 'fat': '0 g'}],
['mid-band sodium', [{'carbs': 0.9, 'sodium': 137.5}], {'carbs': 'less than 1 g', 'sodium': '140 mg'}],
['large values', [{'calories': 245, 'cholesterol': 22.5, 'fat': 12.5, 'sodium': 455}],
{'calories': '250', 'cholesterol': '25 mg', 'fat': '13 g', 'sodium': '460 mg'}],
['regression: fat half-gram band', [{'calories': 49.25, 'fat': 3.5, 'sodium': 143.5}],
{'calories': '50', 'fat': '3.5 g', 'sodium': '140 mg'}],
['repair check: fat half-gram band', [{'calories': 3, 'cholesterol': 5, 'fat': 1.25, 'sodium': 189.5}],
{'calories': '0', 'cholesterol': '5 mg', 'fat': '1.5 g', 'sodium': '190 mg'}],
['generated control 1', [{'calories': 5.25, 'fat': 2, 'sodium': 143}],
{'calories': '5', 'fat': '2 g', 'sodium': '140 mg'}],
['generated control 2', [{'calories': 0.25, 'carbs': 1, 'cholesterol': 3, 'fat': 17.75, 'sodium': 3}],
{'calories': '0', 'carbs': '1 g', 'cholesterol': 'less than 5 mg', 'fat': '18 g', 'sodium': '0 mg'}],
['generated control 3', [{'calories': 45.5, 'cholesterol': 3, 'fat': 4.75, 'sodium': 7.5}],
{'calories': '45', 'cholesterol': 'less than 5 mg', 'fat': '5 g', 'sodium': '10 mg'}]],
[['mid-band sodium', [{'carbs': 0.9, 'sodium': 137.5}], {'carbs': 'less than 1 g', 'sodium': '140 mg'}],
['large values', [{'calories': 245, 'cholesterol': 22.5, 'fat': 12.5, 'sodium': 455}],
{'calories': '250', 'cholesterol': '25 mg', 'fat': '13 g', 'sodium': '460 mg'}],
['small cholesterol', [{'carbs': 12.5, 'cholesterol': 3}],
{'carbs': '13 g', 'cholesterol': 'less than 5 mg'}],
['regression: fat half-gram band', [{'calories': 12.5, 'cholesterol': 22.5, 'fat': 0.5, 'sodium': 120.5}],
{'calories': '15', 'cholesterol': '25 mg', 'fat': '0.5 g', 'sodium': '120 mg'}],
['repair check: fat half-gram band', [{'calories': 2.5, 'fat': 2.5, 'sodium': 197.5}],
{'calories': '0', 'fat': '2.5 g', 'sodium': '200 mg'}],
['generated control 1', [{'calories': 2.25, 'fat': 4, 'sodium': 7.5}],
{'calories': '0', 'fat': '4 g', 'sodium': '10 mg'}],
['generated control 2', [{'calories': 270, 'carbs': 1.5, 'fat': 6, 'sodium': 3.25}],
{'calories': '270', 'carbs': '2 g', 'fat': '6 g', 'sodium': '0 mg'}],
['generated control 3', [{'calories': 0, 'cholesterol': 2, 'fat': 0.4, 'sodium': 0.25}],
{'calories': '0', 'cholesterol': 'less than 5 mg', 'fat': '0 g', 'sodium': '0 mg'}]],
[['large values', [{'calories': 245, 'cholesterol': 22.5, 'fat': 12.5, 'sodium': 455}],
{'calories': '250', 'cholesterol': '25 mg', 'fat': '13 g', 'sodium': '460 mg'}],
['small cholesterol', [{'carbs': 12.5, 'cholesterol': 3}],
{'carbs': '13 g', 'cholesterol': 'less than 5 mg'}],
['empty panel', [{}], {}],
['regression: fat half-gram band', [{'calories': 241, 'cholesterol': 2, 'fat': 0.5, 'sodium': 142.5}],
{'calories': '240', 'cholesterol': 'less than 5 mg', 'fat': '0.5 g', 'sodium': '140 mg'}],
['repair check: fat half-gram band', [{'calories': 185.5, 'cholesterol': 7.5, 'fat': 3.5, 'sodium': 122}],
{'calories': '190', 'cholesterol': '10 mg', 'fat': '3.5 g', 'sodium': '120 mg'}],
['generated control 1', [{'calories': 4.6, 'fat': 10.5, 'sodium': 12.5}],
{'calories': '0', 'fat': '11 g', 'sodium': '15 mg'}],
['generated control 2', [{'calories': 365.5, 'carbs': 12.5, 'cholesterol': 2, 'sodium': 3.5}],
{'calories': '370', 'carbs': '13 g', 'cholesterol': 'less than 5 mg', 'sodium': '0 mg'}],
['generated control 3', [{'calories': 2.5, 'carbs': 0.9, 'fat': 18}],
{'calories': '0', 'carbs': 'less than 1 g', 'fat': '18 g'}]],
[['small cholesterol', [{'carbs': 12.5, 'cholesterol': 3}],
{'carbs': '13 g', 'cholesterol': 'less than 5 mg'}],
['empty panel', [{}], {}],
['insignificant calories', [{'calories': 4.9, 'fat': 0.4}], {'calories': '0', 'fat': '0 g'}],
['regression: fat half-gram band', [{'calories': 56.25, 'carbs': 1.5, 'fat': 1.25}],
{'calories': '60', 'carbs': '2 g', 'fat': '1.5 g'}],
['repair check: fat half-gram band', [{'calories': 156.5, 'carbs': 0.2, 'fat': 4.5, 'sodium': 132}],
{'calories': '160', 'carbs': '0 g', 'fat': '4.5 g', 'sodium': '130 mg'}],
['generated control 1', [{'carbs': 1, 'fat': 5.5}], {'carbs': '1 g', 'fat': '6 g'}],
['generated control 2', [{'calories': 9, 'sodium': 12.5}], {'calories': '10', 'sodium': '15 mg'}],
['generated control 3', [{'calories': 85.5, 'carbs': 1.5, 'cholesterol': 3, 'fat': 1, 'sodium': 7}],
{'calories': '90', 'carbs': '2 g', 'cholesterol': 'less than 5 mg', 'fat': '1 g', 'sodium': '5 mg'}]]]
for label, args, expected in fixtures[N - 1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| empty panel | {} | {} | Passed |
| insignificant calories | {'calories': '0', 'fat': '0 g'} | {'calories': '0', 'fat': '0 g'} | Passed |
| mid-band sodium | {'carbs': 'less than 1 g', 'sodium': '140 mg'} | {'carbs': 'less than 1 g', 'sodium': '140 mg'} | Passed |
| regression: fat half-gram band | {'calories': '10', 'carbs': 'less than 1 g', 'fat': '1 g'} | {'calories': '10', 'carbs': 'less than 1 g', 'fat': '0.5 g'} | Failed |
| repair check: fat half-gram band | {'calories': '60', 'carbs': '0 g', 'fat': '1 g', 'sodium': '200 mg'} | {'calories': '60', 'carbs': '0 g', 'fat': '1.5 g', 'sodium': '200 mg'} | Failed |
| generated control 1 | {'calories': '45', 'carbs': '2 g', 'sodium': '150 mg'} | {'calories': '45', 'carbs': '2 g', 'sodium': '150 mg'} | Passed |
| generated control 2 | {'calories': '70', 'fat': '3 g', 'sodium': '130 mg'} | {'calories': '70', 'fat': '3 g', 'sodium': '130 mg'} | Passed |
| generated control 3 | {'calories': '45', 'carbs': '30 g', 'fat': '13 g'} | {'calories': '45', 'carbs': '30 g', 'fat': '13 g'} | Passed |
SHA-256 / ca919c7feb1c1d28890e930be4ef46a365e3418c243b1035db2bcc43a4261c74
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(panel):
def near(x, step):
return math.floor(x / step + Fraction(1, 2)) * step
def show(v, unit):
t = format(float(v), 'g')
return t + ' ' + unit if unit else t
out = {}
if 'calories' in panel:
c = Fraction(str(panel['calories']))
out['calories'] = show(0 if c < 5 else near(c, 5) if c <= 50 else near(c, 10), '')
if 'fat' in panel:
x = Fraction(str(panel['fat']))
out['fat'] = show(0 if x < Fraction(1, 2) else near(x, Fraction(1, 2)) if x < 1 else near(x, 1), 'g')
if 'sodium' in panel:
x = Fraction(str(panel['sodium']))
out['sodium'] = show(0 if x < 5 else near(x, 5) if x <= 140 else near(x, 10), 'mg')
if 'cholesterol' in panel:
x = Fraction(str(panel['cholesterol']))
out['cholesterol'] = '0 mg' if x < 2 else 'less than 5 mg' if x < 5 else show(near(x, 5), 'mg')
if 'carbs' in panel:
x = Fraction(str(panel['carbs']))
out['carbs'] = '0 g' if x < Fraction(1, 2) else 'less than 1 g' if x < 1 else show(near(x, 1), 'g')
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['empty panel', [{}], {}],
['insignificant calories', [{'calories': 4.9, 'fat': 0.4}], {'calories': '0', 'fat': '0 g'}],
['mid-band sodium', [{'carbs': 0.9, 'sodium': 137.5}], {'carbs': 'less than 1 g', 'sodium': '140 mg'}],
['regression: fat half-gram band', [{'calories': 10.75, 'carbs': 0.9, 'fat': 0.5}],
{'calories': '10', 'carbs': 'less than 1 g', 'fat': '0.5 g'}],
['repair check: fat half-gram band', [{'calories': 56, 'carbs': 0.2, 'fat': 1.25, 'sodium': 198}],
{'calories': '60', 'carbs': '0 g', 'fat': '1.5 g', 'sodium': '200 mg'}],
['generated control 1', [{'calories': 43.25, 'carbs': 1.5, 'sodium': 145}],
{'calories': '45', 'carbs': '2 g', 'sodium': '150 mg'}],
['generated control 2', [{'calories': 65.5, 'fat': 2.75, 'sodium': 131.5}],
{'calories': '70', 'fat': '3 g', 'sodium': '130 mg'}],
['generated control 3', [{'calories': 44.25, 'carbs': 30.4, 'fat': 13}],
{'calories': '45', 'carbs': '30 g', 'fat': '13 g'}]],
[['insignificant calories', [{'calories': 4.9, 'fat': 0.4}], {'calories': '0', 'fat': '0 g'}],
['mid-band sodium', [{'carbs': 0.9, 'sodium': 137.5}], {'carbs': 'less than 1 g', 'sodium': '140 mg'}],
['large values', [{'calories': 245, 'cholesterol': 22.5, 'fat': 12.5, 'sodium': 455}],
{'calories': '250', 'cholesterol': '25 mg', 'fat': '13 g', 'sodium': '460 mg'}],
['regression: fat half-gram band', [{'calories': 49.25, 'fat': 3.5, 'sodium': 143.5}],
{'calories': '50', 'fat': '3.5 g', 'sodium': '140 mg'}],
['repair check: fat half-gram band', [{'calories': 3, 'cholesterol': 5, 'fat': 1.25, 'sodium': 189.5}],
{'calories': '0', 'cholesterol': '5 mg', 'fat': '1.5 g', 'sodium': '190 mg'}],
['generated control 1', [{'calories': 5.25, 'fat': 2, 'sodium': 143}],
{'calories': '5', 'fat': '2 g', 'sodium': '140 mg'}],
['generated control 2', [{'calories': 0.25, 'carbs': 1, 'cholesterol': 3, 'fat': 17.75, 'sodium': 3}],
{'calories': '0', 'carbs': '1 g', 'cholesterol': 'less than 5 mg', 'fat': '18 g', 'sodium': '0 mg'}],
['generated control 3', [{'calories': 45.5, 'cholesterol': 3, 'fat': 4.75, 'sodium': 7.5}],
{'calories': '45', 'cholesterol': 'less than 5 mg', 'fat': '5 g', 'sodium': '10 mg'}]],
[['mid-band sodium', [{'carbs': 0.9, 'sodium': 137.5}], {'carbs': 'less than 1 g', 'sodium': '140 mg'}],
['large values', [{'calories': 245, 'cholesterol': 22.5, 'fat': 12.5, 'sodium': 455}],
{'calories': '250', 'cholesterol': '25 mg', 'fat': '13 g', 'sodium': '460 mg'}],
['small cholesterol', [{'carbs': 12.5, 'cholesterol': 3}],
{'carbs': '13 g', 'cholesterol': 'less than 5 mg'}],
['regression: fat half-gram band', [{'calories': 12.5, 'cholesterol': 22.5, 'fat': 0.5, 'sodium': 120.5}],
{'calories': '15', 'cholesterol': '25 mg', 'fat': '0.5 g', 'sodium': '120 mg'}],
['repair check: fat half-gram band', [{'calories': 2.5, 'fat': 2.5, 'sodium': 197.5}],
{'calories': '0', 'fat': '2.5 g', 'sodium': '200 mg'}],
['generated control 1', [{'calories': 2.25, 'fat': 4, 'sodium': 7.5}],
{'calories': '0', 'fat': '4 g', 'sodium': '10 mg'}],
['generated control 2', [{'calories': 270, 'carbs': 1.5, 'fat': 6, 'sodium': 3.25}],
{'calories': '270', 'carbs': '2 g', 'fat': '6 g', 'sodium': '0 mg'}],
['generated control 3', [{'calories': 0, 'cholesterol': 2, 'fat': 0.4, 'sodium': 0.25}],
{'calories': '0', 'cholesterol': 'less than 5 mg', 'fat': '0 g', 'sodium': '0 mg'}]],
[['large values', [{'calories': 245, 'cholesterol': 22.5, 'fat': 12.5, 'sodium': 455}],
{'calories': '250', 'cholesterol': '25 mg', 'fat': '13 g', 'sodium': '460 mg'}],
['small cholesterol', [{'carbs': 12.5, 'cholesterol': 3}],
{'carbs': '13 g', 'cholesterol': 'less than 5 mg'}],
['empty panel', [{}], {}],
['regression: fat half-gram band', [{'calories': 241, 'cholesterol': 2, 'fat': 0.5, 'sodium': 142.5}],
{'calories': '240', 'cholesterol': 'less than 5 mg', 'fat': '0.5 g', 'sodium': '140 mg'}],
['repair check: fat half-gram band', [{'calories': 185.5, 'cholesterol': 7.5, 'fat': 3.5, 'sodium': 122}],
{'calories': '190', 'cholesterol': '10 mg', 'fat': '3.5 g', 'sodium': '120 mg'}],
['generated control 1', [{'calories': 4.6, 'fat': 10.5, 'sodium': 12.5}],
{'calories': '0', 'fat': '11 g', 'sodium': '15 mg'}],
['generated control 2', [{'calories': 365.5, 'carbs': 12.5, 'cholesterol': 2, 'sodium': 3.5}],
{'calories': '370', 'carbs': '13 g', 'cholesterol': 'less than 5 mg', 'sodium': '0 mg'}],
['generated control 3', [{'calories': 2.5, 'carbs': 0.9, 'fat': 18}],
{'calories': '0', 'carbs': 'less than 1 g', 'fat': '18 g'}]],
[['small cholesterol', [{'carbs': 12.5, 'cholesterol': 3}],
{'carbs': '13 g', 'cholesterol': 'less than 5 mg'}],
['empty panel', [{}], {}],
['insignificant calories', [{'calories': 4.9, 'fat': 0.4}], {'calories': '0', 'fat': '0 g'}],
['regression: fat half-gram band', [{'calories': 56.25, 'carbs': 1.5, 'fat': 1.25}],
{'calories': '60', 'carbs': '2 g', 'fat': '1.5 g'}],
['repair check: fat half-gram band', [{'calories': 156.5, 'carbs': 0.2, 'fat': 4.5, 'sodium': 132}],
{'calories': '160', 'carbs': '0 g', 'fat': '4.5 g', 'sodium': '130 mg'}],
['generated control 1', [{'carbs': 1, 'fat': 5.5}], {'carbs': '1 g', 'fat': '6 g'}],
['generated control 2', [{'calories': 9, 'sodium': 12.5}], {'calories': '10', 'sodium': '15 mg'}],
['generated control 3', [{'calories': 85.5, 'carbs': 1.5, 'cholesterol': 3, 'fat': 1, 'sodium': 7}],
{'calories': '90', 'carbs': '2 g', 'cholesterol': 'less than 5 mg', 'fat': '1 g', 'sodium': '5 mg'}]]]
for label, args, expected in fixtures[N - 1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| empty panel | {} | {} | Passed |
| insignificant calories | {'calories': '0', 'fat': '0 g'} | {'calories': '0', 'fat': '0 g'} | Passed |
| mid-band sodium | {'carbs': 'less than 1 g', 'sodium': '140 mg'} | {'carbs': 'less than 1 g', 'sodium': '140 mg'} | Passed |
| regression: fat half-gram band | {'calories': '10', 'carbs': 'less than 1 g', 'fat': '0.5 g'} | {'calories': '10', 'carbs': 'less than 1 g', 'fat': '0.5 g'} | Passed |
| repair check: fat half-gram band | {'calories': '60', 'carbs': '0 g', 'fat': '1 g', 'sodium': '200 mg'} | {'calories': '60', 'carbs': '0 g', 'fat': '1.5 g', 'sodium': '200 mg'} | Failed |
| generated control 1 | {'calories': '45', 'carbs': '2 g', 'sodium': '150 mg'} | {'calories': '45', 'carbs': '2 g', 'sodium': '150 mg'} | Passed |
| generated control 2 | {'calories': '70', 'fat': '3 g', 'sodium': '130 mg'} | {'calories': '70', 'fat': '3 g', 'sodium': '130 mg'} | Passed |
| generated control 3 | {'calories': '45', 'carbs': '30 g', 'fat': '13 g'} | {'calories': '45', 'carbs': '30 g', 'fat': '13 g'} | Passed |
SHA-256 / 920f3b68450b9bdd69743480d5cb26a5f19904ff408a3308e7d9790516e2c036
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(panel):
def near(x, step):
return math.floor(x / step + Fraction(1, 2)) * step
def show(v, unit):
t = format(float(v), 'g')
return t + ' ' + unit if unit else t
out = {}
if 'calories' in panel:
c = Fraction(str(panel['calories']))
out['calories'] = show(0 if c < 5 else near(c, 5) if c <= 50 else near(c, 10), '')
if 'fat' in panel:
x = Fraction(str(panel['fat']))
out['fat'] = show(0 if x < Fraction(1, 2) else near(x, Fraction(1, 2)) if x < 5 else near(x, 1), 'g')
if 'sodium' in panel:
x = Fraction(str(panel['sodium']))
out['sodium'] = show(0 if x < 5 else near(x, 5) if x <= 140 else near(x, 10), 'mg')
if 'cholesterol' in panel:
x = Fraction(str(panel['cholesterol']))
out['cholesterol'] = '0 mg' if x < 2 else 'less than 5 mg' if x < 5 else show(near(x, 5), 'mg')
if 'carbs' in panel:
x = Fraction(str(panel['carbs']))
out['carbs'] = '0 g' if x < Fraction(1, 2) else 'less than 1 g' if x < 1 else show(near(x, 1), 'g')
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['empty panel', [{}], {}],
['insignificant calories', [{'calories': 4.9, 'fat': 0.4}], {'calories': '0', 'fat': '0 g'}],
['mid-band sodium', [{'carbs': 0.9, 'sodium': 137.5}], {'carbs': 'less than 1 g', 'sodium': '140 mg'}],
['regression: fat half-gram band', [{'calories': 10.75, 'carbs': 0.9, 'fat': 0.5}],
{'calories': '10', 'carbs': 'less than 1 g', 'fat': '0.5 g'}],
['repair check: fat half-gram band', [{'calories': 56, 'carbs': 0.2, 'fat': 1.25, 'sodium': 198}],
{'calories': '60', 'carbs': '0 g', 'fat': '1.5 g', 'sodium': '200 mg'}],
['generated control 1', [{'calories': 43.25, 'carbs': 1.5, 'sodium': 145}],
{'calories': '45', 'carbs': '2 g', 'sodium': '150 mg'}],
['generated control 2', [{'calories': 65.5, 'fat': 2.75, 'sodium': 131.5}],
{'calories': '70', 'fat': '3 g', 'sodium': '130 mg'}],
['generated control 3', [{'calories': 44.25, 'carbs': 30.4, 'fat': 13}],
{'calories': '45', 'carbs': '30 g', 'fat': '13 g'}]],
[['insignificant calories', [{'calories': 4.9, 'fat': 0.4}], {'calories': '0', 'fat': '0 g'}],
['mid-band sodium', [{'carbs': 0.9, 'sodium': 137.5}], {'carbs': 'less than 1 g', 'sodium': '140 mg'}],
['large values', [{'calories': 245, 'cholesterol': 22.5, 'fat': 12.5, 'sodium': 455}],
{'calories': '250', 'cholesterol': '25 mg', 'fat': '13 g', 'sodium': '460 mg'}],
['regression: fat half-gram band', [{'calories': 49.25, 'fat': 3.5, 'sodium': 143.5}],
{'calories': '50', 'fat': '3.5 g', 'sodium': '140 mg'}],
['repair check: fat half-gram band', [{'calories': 3, 'cholesterol': 5, 'fat': 1.25, 'sodium': 189.5}],
{'calories': '0', 'cholesterol': '5 mg', 'fat': '1.5 g', 'sodium': '190 mg'}],
['generated control 1', [{'calories': 5.25, 'fat': 2, 'sodium': 143}],
{'calories': '5', 'fat': '2 g', 'sodium': '140 mg'}],
['generated control 2', [{'calories': 0.25, 'carbs': 1, 'cholesterol': 3, 'fat': 17.75, 'sodium': 3}],
{'calories': '0', 'carbs': '1 g', 'cholesterol': 'less than 5 mg', 'fat': '18 g', 'sodium': '0 mg'}],
['generated control 3', [{'calories': 45.5, 'cholesterol': 3, 'fat': 4.75, 'sodium': 7.5}],
{'calories': '45', 'cholesterol': 'less than 5 mg', 'fat': '5 g', 'sodium': '10 mg'}]],
[['mid-band sodium', [{'carbs': 0.9, 'sodium': 137.5}], {'carbs': 'less than 1 g', 'sodium': '140 mg'}],
['large values', [{'calories': 245, 'cholesterol': 22.5, 'fat': 12.5, 'sodium': 455}],
{'calories': '250', 'cholesterol': '25 mg', 'fat': '13 g', 'sodium': '460 mg'}],
['small cholesterol', [{'carbs': 12.5, 'cholesterol': 3}],
{'carbs': '13 g', 'cholesterol': 'less than 5 mg'}],
['regression: fat half-gram band', [{'calories': 12.5, 'cholesterol': 22.5, 'fat': 0.5, 'sodium': 120.5}],
{'calories': '15', 'cholesterol': '25 mg', 'fat': '0.5 g', 'sodium': '120 mg'}],
['repair check: fat half-gram band', [{'calories': 2.5, 'fat': 2.5, 'sodium': 197.5}],
{'calories': '0', 'fat': '2.5 g', 'sodium': '200 mg'}],
['generated control 1', [{'calories': 2.25, 'fat': 4, 'sodium': 7.5}],
{'calories': '0', 'fat': '4 g', 'sodium': '10 mg'}],
['generated control 2', [{'calories': 270, 'carbs': 1.5, 'fat': 6, 'sodium': 3.25}],
{'calories': '270', 'carbs': '2 g', 'fat': '6 g', 'sodium': '0 mg'}],
['generated control 3', [{'calories': 0, 'cholesterol': 2, 'fat': 0.4, 'sodium': 0.25}],
{'calories': '0', 'cholesterol': 'less than 5 mg', 'fat': '0 g', 'sodium': '0 mg'}]],
[['large values', [{'calories': 245, 'cholesterol': 22.5, 'fat': 12.5, 'sodium': 455}],
{'calories': '250', 'cholesterol': '25 mg', 'fat': '13 g', 'sodium': '460 mg'}],
['small cholesterol', [{'carbs': 12.5, 'cholesterol': 3}],
{'carbs': '13 g', 'cholesterol': 'less than 5 mg'}],
['empty panel', [{}], {}],
['regression: fat half-gram band', [{'calories': 241, 'cholesterol': 2, 'fat': 0.5, 'sodium': 142.5}],
{'calories': '240', 'cholesterol': 'less than 5 mg', 'fat': '0.5 g', 'sodium': '140 mg'}],
['repair check: fat half-gram band', [{'calories': 185.5, 'cholesterol': 7.5, 'fat': 3.5, 'sodium': 122}],
{'calories': '190', 'cholesterol': '10 mg', 'fat': '3.5 g', 'sodium': '120 mg'}],
['generated control 1', [{'calories': 4.6, 'fat': 10.5, 'sodium': 12.5}],
{'calories': '0', 'fat': '11 g', 'sodium': '15 mg'}],
['generated control 2', [{'calories': 365.5, 'carbs': 12.5, 'cholesterol': 2, 'sodium': 3.5}],
{'calories': '370', 'carbs': '13 g', 'cholesterol': 'less than 5 mg', 'sodium': '0 mg'}],
['generated control 3', [{'calories': 2.5, 'carbs': 0.9, 'fat': 18}],
{'calories': '0', 'carbs': 'less than 1 g', 'fat': '18 g'}]],
[['small cholesterol', [{'carbs': 12.5, 'cholesterol': 3}],
{'carbs': '13 g', 'cholesterol': 'less than 5 mg'}],
['empty panel', [{}], {}],
['insignificant calories', [{'calories': 4.9, 'fat': 0.4}], {'calories': '0', 'fat': '0 g'}],
['regression: fat half-gram band', [{'calories': 56.25, 'carbs': 1.5, 'fat': 1.25}],
{'calories': '60', 'carbs': '2 g', 'fat': '1.5 g'}],
['repair check: fat half-gram band', [{'calories': 156.5, 'carbs': 0.2, 'fat': 4.5, 'sodium': 132}],
{'calories': '160', 'carbs': '0 g', 'fat': '4.5 g', 'sodium': '130 mg'}],
['generated control 1', [{'carbs': 1, 'fat': 5.5}], {'carbs': '1 g', 'fat': '6 g'}],
['generated control 2', [{'calories': 9, 'sodium': 12.5}], {'calories': '10', 'sodium': '15 mg'}],
['generated control 3', [{'calories': 85.5, 'carbs': 1.5, 'cholesterol': 3, 'fat': 1, 'sodium': 7}],
{'calories': '90', 'carbs': '2 g', 'cholesterol': 'less than 5 mg', 'fat': '1 g', 'sodium': '5 mg'}]]]
for label, args, expected in fixtures[N - 1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| empty panel | {} | {} | Passed |
| insignificant calories | {'calories': '0', 'fat': '0 g'} | {'calories': '0', 'fat': '0 g'} | Passed |
| mid-band sodium | {'carbs': 'less than 1 g', 'sodium': '140 mg'} | {'carbs': 'less than 1 g', 'sodium': '140 mg'} | Passed |
| regression: fat half-gram band | {'calories': '10', 'carbs': 'less than 1 g', 'fat': '0.5 g'} | {'calories': '10', 'carbs': 'less than 1 g', 'fat': '0.5 g'} | Passed |
| repair check: fat half-gram band | {'calories': '60', 'carbs': '0 g', 'fat': '1.5 g', 'sodium': '200 mg'} | {'calories': '60', 'carbs': '0 g', 'fat': '1.5 g', 'sodium': '200 mg'} | Passed |
| generated control 1 | {'calories': '45', 'carbs': '2 g', 'sodium': '150 mg'} | {'calories': '45', 'carbs': '2 g', 'sodium': '150 mg'} | Passed |
| generated control 2 | {'calories': '70', 'fat': '3 g', 'sodium': '130 mg'} | {'calories': '70', 'fat': '3 g', 'sodium': '130 mg'} | Passed |
| generated control 3 | {'calories': '45', 'carbs': '30 g', 'fat': '13 g'} | {'calories': '45', 'carbs': '30 g', 'fat': '13 g'} | Passed |
SHA-256 / 2fe68ffdc96c16e8d74bfb20de833edc661d34bdf1085a9bd7c4a5d2a1f2c625
Verification & scope
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.
Observations recorded using Python 3.12.14 at 2026-09-29T14:52:26.833854+00:00.
Case digest / 50cc023e041ea97648d1e877e36ec61b896377335d1c279eaefb956fad3cbe68