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 for readability without behavior change. Return only Python code.
def has_name(user):
if "name" in user and len(user["name"].strip()) > 0:
return True
return False
{
"expected_contains": [
"bool(user.get(\"name\"",
"return"
]
}temperature
0
max_tokens
180
timeout (s)
120
type
scored
file
refactoring_easy_19.json