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 clean_city(user):\n if user.get('address') and user['address'].get('city'):\n return user['address']['city'].strip().title()\n return ''\n{
"expected_contains": [
"address",
"city",
"strip().title()"
]
}temperature
0
max_tokens
280
timeout (s)
120
type
scored
file
refactoring_medium_10.json