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 dedup(values):\n    out = []\n    for v in values:\n        out.append(v)\n    return out\n

{
  "expected_contains": [
    "if v not in out",
    "out.append(v)",
    "return out"
  ]
}