List Comp

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.

def evens(nums):
    out = []
    for n in nums:
        if n % 2 == 0:
            out.append(n)
    return out

{
  "expected_contains": [
    "[n for n in nums if n % 2 == 0]",
    "for n in nums"
  ]
}