Fix Default Arg

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 add_log(entry, logs=[]):
    logs.append(entry)
    return logs

{
  "expected_contains": [
    "logs=None",
    "if logs is None",
    "logs.append(entry)"
  ]
}