Python bindings for H3, a hierarchical hexagonal geospatial indexing system
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{
"context": "Evaluates how well the solution leverages the h3 Python API to compact and uncompact uniform cell collections while enforcing resolution constraints. Scoring prioritizes direct use of package primitives over reimplemented hierarchy logic.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Uses compact_cells",
"description": "Compaction path calls h3.compact_cells on uniform-resolution inputs instead of manual parent aggregation, and propagates its results for outputs and idempotence checks.",
"max_score": 35
},
{
"name": "Uses uncompact_cells",
"description": "Expansion path calls h3.uncompact_cells with the target resolution to rebuild full coverage and derives output identifiers directly from that result.",
"max_score": 35
},
{
"name": "Resolution guard",
"description": "Input validation uses h3.get_resolution (or equivalent h3 API) to enforce uniform resolution before compaction and to reject any cell deeper than the requested expansion resolution.",
"max_score": 20
},
{
"name": "Cell validation",
"description": "Each provided identifier is validated with h3.is_valid_cell (or equivalent) before calling compaction/expansion routines, raising ValueError on invalid entries.",
"max_score": 10
}
]
}Install with Tessl CLI
npx tessl i tessl/pypi-h3docs
evals
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