Cleanup

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 filter_orders_07(orders):
    out = []
    for o in orders:
        if o is not None:
            if o.get('status') == 'paid':
                if o.get('total', 0) > 0:
                    out.append(o)
    return out

{
  "expected_contains": [
    "if not o",
    "continue",
    "out.append(o)"
  ]
}