Enumerate

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 indexed(items):
    out = []
    for i in range(len(items)):
        out.append((i, items[i]))
    return out

{
  "expected_contains": [
    "enumerate(items)",
    "out.append"
  ]
}