vibespatial.constructive.clip_rect¶

Attributes¶

EMPTY

Classes¶

`RectClipResult`	Result of a rectangle clip operation.
`RectClipBenchmark`

Functions¶

`clip_by_rect_owned`(→ RectClipResult)
`evaluate_geopandas_clip_by_rect`(...)
`benchmark_clip_by_rect`(→ RectClipBenchmark)

Module Contents¶

vibespatial.constructive.clip_rect.EMPTY¶

class vibespatial.constructive.clip_rect.RectClipResult(*, geometries: numpy.ndarray | None = None, geometries_factory: object | None = None, row_count: int, candidate_rows: numpy.ndarray, fast_rows: numpy.ndarray, fallback_rows: numpy.ndarray, runtime_selection: vibespatial.runtime.RuntimeSelection, precision_plan: vibespatial.runtime.precision.PrecisionPlan, robustness_plan: vibespatial.runtime.robustness.RobustnessPlan, owned_result: vibespatial.geometry.owned.OwnedGeometryArray | None = None)¶

Result of a rectangle clip operation.

geometries is lazily materialized from owned_result when accessed for the first time on the GPU point path, avoiding D->H->Shapely overhead unless a caller actually needs Shapely objects.

row_count¶

candidate_rows¶

fast_rows¶

fallback_rows¶

runtime_selection¶

precision_plan¶

robustness_plan¶

owned_result = None¶

property geometries: numpy.ndarray¶

class vibespatial.constructive.clip_rect.RectClipBenchmark¶

dataset: str¶

rows: int¶

candidate_rows: int¶

fast_rows: int¶

fallback_rows: int¶

owned_elapsed_seconds: float¶

shapely_elapsed_seconds: float¶

property speedup_vs_shapely: float¶

vibespatial.constructive.clip_rect.clip_by_rect_owned(values: collections.abc.Sequence[object | None] | numpy.ndarray | vibespatial.geometry.owned.OwnedGeometryArray, xmin: float, ymin: float, xmax: float, ymax: float, *, dispatch_mode: vibespatial.runtime.ExecutionMode | str = ExecutionMode.AUTO, precision: vibespatial.runtime.precision.PrecisionMode | str = PrecisionMode.AUTO) → RectClipResult¶

vibespatial.constructive.clip_rect.evaluate_geopandas_clip_by_rect(values: numpy.ndarray, xmin: float, ymin: float, xmax: float, ymax: float, *, prebuilt_owned: vibespatial.geometry.owned.OwnedGeometryArray | None = None) → tuple[numpy.ndarray | None, vibespatial.runtime.ExecutionMode]¶

vibespatial.constructive.clip_rect.benchmark_clip_by_rect(values: collections.abc.Sequence[object | None] | numpy.ndarray | vibespatial.geometry.owned.OwnedGeometryArray, xmin: float, ymin: float, xmax: float, ymax: float, *, dataset: str) → RectClipBenchmark¶