Flatten Logic

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 can_edit(user):
    if user["role"] == "admin":
        return True
    if user["role"] == "owner":
        return True
    return False

{
  "expected_contains": [
    "in {\"admin\", \"owner\"}",
    "user[\"role\"] in"
  ]
}