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.\n\ndef clamp(n, low, high):\n    if n < low:\n        return high\n    if n > high:\n        return low\n    return n\n

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