vibespatial.predicates.binary

Attributes

PredicateInput
PREDICATE_SPECS

Classes

NullBehavior	Enum where members are also (and must be) strings
CoarseRelation	Enum where members are also (and must be) strings
BinaryPredicateSpec
BinaryPredicateResult

Functions

supports_binary_predicate(→ bool)
evaluate_binary_predicate(→ BinaryPredicateResult)
evaluate_geopandas_binary_predicate(→ numpy.ndarray | None)
benchmark_binary_predicate(→ dict[str, int])

Module Contents

vibespatial.predicates.binary.PredicateInput

class vibespatial.predicates.binary.NullBehavior

Enum where members are also (and must be) strings

PROPAGATE = 'propagate'

FALSE = 'false'

class vibespatial.predicates.binary.CoarseRelation

Enum where members are also (and must be) strings

INTERSECTS = 'intersects'

CONTAINS = 'contains'

WITHIN = 'within'

DISJOINT = 'disjoint'

class vibespatial.predicates.binary.BinaryPredicateSpec

name: str

coarse_relation: CoarseRelation

shapely_op: str

class vibespatial.predicates.binary.BinaryPredicateResult

predicate: str

values: numpy.ndarray

row_count: int

candidate_rows: numpy.ndarray

coarse_true_rows: numpy.ndarray

coarse_false_rows: numpy.ndarray

runtime_selection: vibespatial.runtime.RuntimeSelection

precision_plan: vibespatial.runtime.precision.PrecisionPlan

robustness_plan: vibespatial.runtime.robustness.RobustnessPlan

vibespatial.predicates.binary.PREDICATE_SPECS: dict[str, BinaryPredicateSpec]

vibespatial.predicates.binary.supports_binary_predicate(name: str) → bool

vibespatial.predicates.binary.evaluate_binary_predicate(predicate: str, left: PredicateInput, right: object | PredicateInput, *, dispatch_mode: vibespatial.runtime.ExecutionMode | str = ExecutionMode.AUTO, precision: vibespatial.runtime.precision.PrecisionMode | str = PrecisionMode.AUTO, null_behavior: NullBehavior | str = NullBehavior.PROPAGATE, **kwargs: Any) → BinaryPredicateResult

vibespatial.predicates.binary.evaluate_geopandas_binary_predicate(predicate: str, left: numpy.ndarray | vibespatial.geometry.owned.OwnedGeometryArray, right: object | numpy.ndarray | vibespatial.geometry.owned.OwnedGeometryArray, **kwargs: Any) → numpy.ndarray | None

vibespatial.predicates.binary.benchmark_binary_predicate(predicate: str, left: PredicateInput, right: object | PredicateInput, **kwargs: Any) → dict[str, int]