Refactor-Array-Manipulation-Pipeline

The model receives the prompt (and optional system message). The run uses scorer rubric_json_metrics with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Return JSON only with keys refactor, rationale, tests. Refactor a multi-step student classification loop into composable pipeline stages. Preserve audit fields and final ordering.

{
  "metrics": {
    "visible": {
      "checks": [
        {
          "contains": [
            "pipeline stages"
          ]
        },
        {
          "contains": [
            "classification"
          ]
        },
        {
          "contains": [
            "student"
          ]
        }
      ]
    },
    "hidden": {
      "checks": [
        {
          "contains": [
            "audit fields"
          ]
        },
        {
          "contains": [
            "final ordering"
          ]
        },
        {
          "contains": [
            "composable"
          ]
        }
      ]
    },
    "intent": {
      "checks": [
        {
          "contains": [
            "array manipulation"
          ]
        },
        {
          "contains": [
            "data pipeline"
          ]
        },
        {
          "contains": [
            "separation"
          ]
        }
      ]
    }
  }
}