Fix Filter Logic

The model receives the prompt (and optional system message). The run uses scorer contains_all with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Fix the bug and return corrected Python code only.

def active_ids(users):
    ids = []
    for user in users:
        if not user.get("active"):
            ids.append(user["id"])
    return ids

{
  "expected_contains": [
    "if user.get(\"active\")",
    "ids.append(user[\"id\"])",
    "return ids"
  ]
}