{
  "context": "Evaluates how well the solution relies on the h3 Python bindings to convert lat/lng coordinates into H3 cell identifiers, recover cell centers, and extract boundary polygons. Scoring emphasizes correct use of the library's conversion and boundary helpers rather than manual geometry or formatting.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Known encoding",
      "description": "Uses `h3.latlng_to_cell` with resolution 9 to map (37.7749, -122.4194) to `89283082e6bffff` instead of constructing the identifier manually.",
      "max_score": 30
    },
    {
      "name": "Resolution handling",
      "description": "Varies the resolution argument in `latlng_to_cell` (e.g., res 7 vs 9) and asserts distinct valid outputs, demonstrating reliance on the package's resolution-aware encoding.",
      "max_score": 20
    },
    {
      "name": "Center round-trip",
      "description": "Uses `h3.cell_to_latlng` to get the center of `89283082e6bffff` and re-encodes it with `latlng_to_cell` to confirm the identifier is unchanged.",
      "max_score": 25
    },
    {
      "name": "Boundary retrieval",
      "description": "Retrieves vertices via `h3.cell_to_boundary`, checks for six counterclockwise points containing the source coordinate, and avoids hand-built polygons.",
      "max_score": 25
    }
  ]
}