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tessl/pypi-h3

tessl install tessl/pypi-h3@4.3.0

Python bindings for H3, a hierarchical hexagonal geospatial indexing system

Agent Success

Agent success rate when using this tile

84%

Improvement

Agent success rate improvement when using this tile compared to baseline

0.95x

Baseline

Agent success rate without this tile

88%

rubric.jsonevals/scenario-5/

{
  "context": "Evaluates whether the index audit report relies on the h3 package for validating candidate cells, exposing per-cell metadata, surfacing base-system lists, and reporting system totals at a target resolution.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Validates cells",
      "description": "Filters inputs with h3.is_valid_cell, preserving order for accepted cells and collecting every rejected token in invalid_tokens.",
      "max_score": 25
    },
    {
      "name": "Resolution mapping",
      "description": "Uses h3.get_resolution for each accepted cell to build the by_resolution histogram and keep target_resolution echoed in the report output.",
      "max_score": 20
    },
    {
      "name": "Pentagon and class",
      "description": "Identifies pentagon_cells via h3.is_pentagon and tracks Class III cells via h3.is_res_class_III for every accepted cell.",
      "max_score": 20
    },
    {
      "name": "Base lists",
      "description": "Populates res0_cells with h3.get_res0_cells and res0_pentagons with h3.get_pentagons(0) instead of hard-coding, matching the expected lengths (122 res0 cells, 12 pentagons).",
      "max_score": 20
    },
    {
      "name": "Total at target",
      "description": "Sets expected_total_at_target using h3.get_num_cells(target_resolution) (e.g., 5882 at resolution 2) rather than manual arithmetic or constants.",
      "max_score": 15
    }
  ]
}

Version

Workspace
tessl
Visibility
Public
Created
Last updated
Describes
pypipkg:pypi/h3@4.3.x
tile.json