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 multiply_all(nums):\n    out = 0\n    for n in nums:\n        out *= n\n    return out\n

{
  "expected_contains": [
    "out = 1",
    "out *= n",
    "return out"
  ]
}