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 user_ids(users):\n    ids = []\n    for user in users:\n        ids.append(user['id'])\n    return ids\n

{
  "expected_contains": [
    "[user[\"id\"] for user in users]",
    "for user in users"
  ]
}