Cleanup

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 top3(nums):\n    s = sorted(nums, reverse=True)\n    return s[:3]\n

{
  "expected_contains": [
    "sorted(nums, reverse=True)",
    "[:3]"
  ]
}