tessl install tessl/pypi-h3@4.3.0Python 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%
Build a reporting helper that inspects candidate H3 index strings and surfaces validation plus metadata grounded in the library's system totals.
["89283082e6bffff", "not-a-cell", "119283082e6bffff"] and target resolution 9, the report returns the first value as the only valid cell (preserving order), puts the other two in invalid_tokens, groups resolutions as {9: 1}, classifies no pentagons, and keeps the original target_resolution in the output. @testpentagon_cells and class_III_cells alongside the resolution histogram. The metadata for 89283082e6bffff shows it is a Class III hexagon. @test0, the report treats both as valid, marks exactly one pentagon in pentagon_cells, includes all 122 resolution-0 cells and all 12 resolution-0 pentagons in res0_cells and res0_pentagons, and still surfaces the invalid-token bucket as empty. @test["85283473fffffff", "89283082e6bffff"] and target resolution 2, the report groups resolutions as {5: 1, 9: 1}, records both cells as Class III hexagons, leaves pentagon_cells empty, and sets expected_total_at_target to the dependency's total cell count at resolution 2 (5882). @test@generates
from typing import Iterable, TypedDict
class IndexReport(TypedDict):
valid_cells: list[str]
invalid_tokens: list[str]
by_resolution: dict[int, int]
pentagon_cells: list[str]
class_III_cells: list[str]
res0_cells: list[str]
res0_pentagons: list[str]
target_resolution: int
expected_total_at_target: int
def build_index_report(candidates: Iterable[str], target_resolution: int) -> IndexReport:
"""Return validation and metadata about the provided H3 candidate indexes."""Provides cell validation helpers, metadata lookups, and system-wide totals.
@satisfied-by