Python bindings for H3, a hierarchical hexagonal geospatial indexing system
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{
"context": "Evaluates how well the solution uses the h3 geometry containers and helpers to bridge between raw coordinate rings, native polygon/multipolygon objects, and GeoJSON. Checks emphasize relying on LatLngPoly/LatLngMultiPoly, GeoJSON conversion helpers, and proper __geo_interface__ usage rather than hand-rolled geometry handling.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Native polygon",
"description": "Builds single polygons with the library's LatLngPoly class (outer plus holes) instead of manual dicts, producing shapes that expose __geo_interface__.",
"max_score": 25
},
{
"name": "Multi-shape merge",
"description": "Combines multiple polygons via LatLngMultiPoly (or equivalent native multi-shape) so resulting objects report MultiPolygon geometry through __geo_interface__.",
"max_score": 25
},
{
"name": "GeoJSON export",
"description": "Uses h3shape_to_geo or a shape's __geo_interface__ to emit GeoJSON with closed rings and [lng, lat] ordering instead of manually crafting coordinate arrays.",
"max_score": 20
},
{
"name": "GeoJSON import",
"description": "Parses Polygon/MultiPolygon input through geo_to_h3shape (or equivalent) to produce native shapes, correctly mapping GeoJSON [lng, lat] coordinates into the library's (lat, lng) containers.",
"max_score": 20
},
{
"name": "Invalid geometry guard",
"description": "Rejects unsupported geometry types by surfacing ValueError from geo_to_h3shape (or comparable library error) without constructing shapes.",
"max_score": 10
}
]
}Install with Tessl CLI
npx tessl i tessl/pypi-h3docs
evals
scenario-1
scenario-2
scenario-3
scenario-4
scenario-5
scenario-6
scenario-7
scenario-8
scenario-9
scenario-10