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 changing behavior. Return only Python code.
def active_count(users):
c = 0
for x in users:
if x["active"]:
c += 1
return c
{
"expected_contains": [
"for user in users",
"count = 0"
]
}temperature
0
max_tokens
150
timeout (s)
120
type
scored
file
refactoring_easy_11.json