Merge If

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 should_notify(user):
    if user["active"]:
        if user["email"]:
            return True
    return False

{
  "expected_contains": [
    "if user[\"active\"] and user[\"email\"]",
    "return user[\"active\"] and user[\"email\"]"
  ]
}