Fix Range

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 numbers_to_n(n):
    return list(range(1, n))

{
  "expected_contains": [
    "range(1, n + 1)"
  ]
}