vibespatial.predicates.point_within_bounds_cpu¶

Attributes¶

`BoundsValue`
`BoundsSequence`

Classes¶

NormalizedBoundsInput

Functions¶

`normalize_bounds_tuple`(→ tuple[float, float, float, float])
`normalize_right_input`(→ NormalizedBoundsInput)
`evaluate_point_within_bounds`(→ numpy.ndarray)
`point_within_bounds_cpu`(→ list[bool \| None])

Module Contents¶

vibespatial.predicates.point_within_bounds_cpu.BoundsValue¶

vibespatial.predicates.point_within_bounds_cpu.BoundsSequence¶

class vibespatial.predicates.point_within_bounds_cpu.NormalizedBoundsInput¶

bounds: numpy.ndarray¶

null_mask: numpy.ndarray¶

empty_mask: numpy.ndarray¶

geometry_array: vibespatial.geometry.owned.OwnedGeometryArray | None = None¶

vibespatial.predicates.point_within_bounds_cpu.normalize_bounds_tuple(value: BoundsValue) → tuple[float, float, float, float]¶

vibespatial.predicates.point_within_bounds_cpu.normalize_right_input(values: BoundsSequence | vibespatial.predicates.support.PointSequence, *, expected_len: int) → NormalizedBoundsInput¶

vibespatial.predicates.point_within_bounds_cpu.evaluate_point_within_bounds(points: vibespatial.geometry.owned.OwnedGeometryArray, right: NormalizedBoundsInput) → numpy.ndarray¶

vibespatial.predicates.point_within_bounds_cpu.point_within_bounds_cpu(points: vibespatial.predicates.support.PointSequence, polygons_or_bounds: BoundsSequence | vibespatial.predicates.support.PointSequence, *, dispatch_mode: vibespatial.runtime.ExecutionMode | str = ExecutionMode.AUTO, precision: vibespatial.runtime.precision.PrecisionMode | str = PrecisionMode.AUTO) → list[bool | None]¶