Computes distances to polygon edges and vertices and can check whether points are inside/outside polygons.
Rewriting https://github.com/bast/polygons to Rust - work in progress.
So far not beautiful and not stable. Will improve while learning.
$ cargo test --release -- --ignored --nocapture
Inspired by https://github.com/dev-cafe/rustafarian.
$ cargo build --release --features pyo3
$ maturin develop --release --cargo-extra-args="--features pyo3"
import polygons
# polygon_points is a list of lists
# the library has been developed to perform
# with very many polygons - this is just to have a simple example
polygon_points = [
[(0.0, 0.0), (1.0, 0.0), (1.0, 1.0), (0.0, 1.0), (0.0, 0.0)],
[(0.0, 2.0), (1.0, 2.0), (1.0, 3.0), (0.0, 3.0), (0.0, 2.0)],
]
# the more points you compute in one go, the better
# this is just to make a simple example but if you have many points
# then compute a thousand or a million in one go
# so that the library can parallelize over the points
points = [(0.5, 0.5), (0.5, -0.5)]
# parameters for the tree construction:
# - each tree node has 4 children nodes
# - each leaf collects 4 edges
# you can try different parameters and check the timing
# they (should) have no effect on the results apart from timing
num_edges_children = 4
num_nodes_children = 4
tree = polygons.build_tree(polygon_points, num_edges_children, num_nodes_children)
inside = polygons.points_are_inside(tree, points)
print(inside) # [True, False]
distances = polygons.distances_nearest_vertices(tree, points)
print(distances) # [0.7071067811865476, 0.7071067811865476]
distances = polygons.distances_nearest_edges(tree, points)
print(distances) # [0.5, 0.5]
distances = polygons.distances_nearest_vertices(tree, [(0.6, 0.6), (0.5, -0.5)])
print(distances) # [0.5656854249492381, 0.7071067811865476]