Test fixture
Code transformation while preserving behavior and intent.
The model receives the prompt (and optional system message). The run uses scorer contains_any with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.
Refactor without changing behavior. Return only Python code.\n\ndef order_total(order):\n total = 0\n for line in order['lines']:\n total += line['qty'] * line['price']\n return total\n
{
"expected_contains": [
"for line in order[\"lines\"]",
"line[\"qty\"] * line[\"price\"]"
]
}temperature
0
max_tokens
280
timeout (s)
120
type
scored
file
refactoring_medium_17.json