Strip Once

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.

Refactor without changing behavior. Return only Python code.

def clean_name(name):
    if name is None:
        return ""
    else:
        return name.strip().lower()

{
  "expected_contains": [
    "if name is None",
    "name.strip().lower()"
  ]
}