{
  "context": "Evaluates whether the solution uses numpydoc's cross-referencing helpers to render NumPy-style docstrings with alias and ignore handling. Scoring rewards correct delegation to numpydoc xref APIs, proper merging of alias/ignore data with defaults, and keeping default linking behavior active for unmatched tokens.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Uses make_xref",
      "description": "Type tokens are routed through numpydoc.xref.make_xref (or the xref-aware SphinxDocString path) instead of hand-built markup, producing role-wrapped links from the library.",
      "max_score": 30
    },
    {
      "name": "Alias merge",
      "description": "Custom alias mappings are merged with numpydoc's DEFAULT_LINKS / numpydoc_xref_aliases so defaults remain available while overrides apply.",
      "max_score": 25
    },
    {
      "name": "Ignore honored",
      "description": "Tokens listed in the provided ignore list or numpydoc_xref_ignore config are passed to the xref logic so they stay unlinked in the rendered output.",
      "max_score": 20
    },
    {
      "name": "Default linking",
      "description": "Unmatched tokens still get default cross-reference roles by keeping numpydoc_xref_param_type (or equivalent flag) enabled when rendering.",
      "max_score": 15
    },
    {
      "name": "Docstring parsing",
      "description": "Docstrings are parsed/rendered via numpydoc utilities (e.g., NumpyDocString or SphinxDocString) rather than custom parsers to ensure type sections follow library semantics.",
      "max_score": 10
    }
  ]
}