Bugfix

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 clamp_09(n, low, high):
    if n < low:
        return high
    if n > high:
        return low
    return n

{
  "expected_contains": [
    "if n < low",
    "return low",
    "if n > high"
  ]
}