| """All published metrics are percentages; no incomplete full-benchmark index.""" |
| from collections import defaultdict |
| from runners import LANGUAGES |
|
|
| def aggregate(results,expected_ids,full_run=True): |
| if len({r['id'] for r in results})!=len(results):raise ValueError('Duplicate result IDs') |
| if {r['id'] for r in results}!=set(expected_ids):raise ValueError('Incomplete or extra results') |
| groups=defaultdict(list) |
| for r in results:groups[r['language']].append(r) |
| accuracy={lang:100*sum(bool(r['passed']) for r in group)/len(group) for lang,group in sorted(groups.items())} |
| syntax={lang:100*sum(bool(r['syntax_success']) for r in group)/len(group) for lang,group in sorted(groups.items())} |
| def fraction(row): |
| tests=row.get('tests') |
| if tests is None:return float(bool(row['passed'])) |
| return sum(bool(t['passed']) for t in tests)/len(tests) if tests else 0.0 |
| test_rates={lang:100*sum(fraction(r) for r in group)/len(group) for lang,group in sorted(groups.items())} |
| if full_run and set(groups)!=set(LANGUAGES):raise ValueError('Missing language') |
| score=sum(accuracy.values())/len(accuracy) |
| result={'scope':'full' if full_run else 'filtered','examples':len(results),'pass_at_1':score, |
| 'syntax_success':sum(syntax.values())/len(syntax), |
| 'hidden_test_pass_rate':sum(test_rates.values())/len(test_rates), |
| 'per_language_test_pass_rate':test_rates,'per_language_accuracy':accuracy, |
| 'per_language_syntax_success':syntax,'micro_accuracy':100*sum(r['passed'] for r in results)/len(results)} |
| result['smolscript_score' if full_run else 'filtered_macro_score']=score |
| return result |
|
|
