Source code for promis.logic.spatial.over

"""This module implements a probabilistic predicate for checking if a point is over a map feature."""

#
# Copyright (c) Simon Kohaut, Honda Research Institute Europe GmbH, Felix Divo, and contributors
#
# This file is part of ProMis and licensed under the BSD 3-Clause License.
# You should have received a copy of the BSD 3-Clause License along with ProMis.
# If not, see https://opensource.org/license/bsd-3-clause/.
#

# Third Party
from shapely.strtree import STRtree

# ProMis
from promis.geo import CartesianLocation, CartesianMap

from .relation import Relation


[docs] class Over(Relation): """A probabilistic relation that checks if a point is "over" (i.e., within) a map feature. This relation is true if a given location is contained within any of the geometries of a specific type on the map. The probability is derived from a set of sample maps. """
[docs] def index_to_distributional_clause(self, index: int) -> str: """Express a single index of this Relation as a distributional clause. The clause is formatted as `PROBABILITY::over(x_INDEX, location_type).`, where the probability is the mean probability of the point being over a feature across the sample maps. Args: index: The index of the point within the `parameters` collection. Returns: A string representing the distributional clause for the specified entry. """ return f"{self.parameters.data['v0'][index]}::over(x_{index}, {self.location_type}).\n"
[docs] @staticmethod def compute_relation( location: CartesianLocation, r_tree: STRtree, original_geometries: CartesianMap ) -> float: """Checks if a location is within any of the geometries in the map. This method queries the R-tree for all geometries that could contain the location and then performs a precise check. Args: location: The location to check. r_tree: The R-tree of the map geometries for efficient querying. original_geometries: The original map geometries (unused in this relation). Returns: 1.0 if the location is within any geometry, 0.0 otherwise. """ geometry = r_tree.geometries.take(r_tree.nearest(location.geometry)) return float(location.geometry.within(geometry))
[docs] @staticmethod def empty_map_parameters() -> list[float]: """Returns the parameters for an empty map, which is a probability of 0.0 with 0 variance.""" return [0.0, 0.0]
[docs] @staticmethod def arity() -> int: """Returns the arity of the 'over' relation, which is 2 (location, feature_type).""" return 2