Bump pyo3 version

switch to pseudonormal containment check is now n_rays=0 rather than
None, due to PyO3/pyo3#3735

Cargo.toml

@@ -4,12 +4,12 @@ version = "0.19.0"
 edition = "2018"
 
 [dependencies]
-pyo3 = { version = "0.18", features = ["extension-module", "abi3-py38"] }
+pyo3 = { version = "0.20", features = ["extension-module", "abi3-py38"] }
 parry3d-f64 = { version = "0.13", features = ["dim3", "f64", "enhanced-determinism"] }
 rayon = "1.7"
 rand = "0.8"
 rand_pcg = "0.3"
-numpy = "0.18"
+numpy = "0.20"
 log = "0.4.20"
 
 # ndarray is a dependency of numpy.

python/ncollpyde/_ncollpyde.pyi

@@ -17,7 +17,7 @@ class TriMeshWrapper:
         self, points: Points, indices: Indices, n_rays: int, ray_seed: int
     ): ...
     def contains(
-        self, points: Points, n_rays: Optional[int], consensus: int, parallel: bool
+        self, points: Points, n_rays: int, consensus: int, parallel: bool
     ) -> npt.NDArray[np.bool_]: ...
     def distance(
         self, points: Points, signed: bool, parallel: bool

python/ncollpyde/main.py

@@ -217,7 +217,7 @@ def contains(
         :param coords:
         :param n_rays: Optional[int]
             If None, use the maximum rays defined on construction.
-            If < 0, use signed distance strategy
+            If < 1, use signed distance strategy
             (more robust, but slower for many meshes).
             Otherwise, use this many meshes, up to the maximum defined on construction.
         :param consensus: Optional[int]
@@ -235,7 +235,7 @@ def contains(
         coords = self._as_points(coords)
         if n_rays is None:
             n_rays = self.n_rays
-        elif n_rays < 0:
+        elif n_rays < 1:
             n_rays = None
         elif n_rays > self.n_rays:
             logger.warning(
@@ -245,6 +245,7 @@ def contains(
 
         if n_rays is None:
             consensus = 1
+            n_rays = 0
         else:
             if consensus is None:
                 consensus = n_rays // 2 + 1

src/interface.rs

@@ -1,4 +1,3 @@
-use std::fmt::Debug;
 use std::iter::repeat_with;
 
 use ndarray::{Array2, ArrayView1};
@@ -17,13 +16,13 @@ use crate::utils::{
     points_cross_mesh, random_dir, sdf_inner, Precision, FLAGS,
 };
 
-fn vec_to_point<T: 'static + Debug + PartialEq + Copy>(v: Vec<T>) -> Point<T> {
-    Point::new(v[0], v[1], v[2])
-}
+// fn vec_to_point<T: 'static + Debug + PartialEq + Copy>(v: Vec<T>) -> Point<T> {
+//     Point::new(v[0], v[1], v[2])
+// }
 
-fn point_to_vec<T: 'static + Debug + PartialEq + Copy>(p: &Point<T>) -> Vec<T> {
-    vec![p.x, p.y, p.z]
-}
+// fn point_to_vec<T: 'static + Debug + PartialEq + Copy>(p: &Point<T>) -> Vec<T> {
+//     vec![p.x, p.y, p.z]
+// }
 
 #[pyclass]
 pub struct TriMeshWrapper {
@@ -96,20 +95,21 @@ impl TriMeshWrapper {
         collected.into_pyarray(py)
     }
 
+    // #[pyo3(signature = (points, n_rays=None, consensus=None, parallel=None))]
     pub fn contains<'py>(
         &self,
         py: Python<'py>,
         points: PyReadonlyArray2<Precision>,
-        n_rays: Option<usize>,
+        n_rays: usize,
         consensus: usize,
         parallel: bool,
     ) -> &'py PyArray1<bool> {
         let p_arr = points.as_array();
         let zipped = Zip::from(p_arr.rows());
 
-        let collected = if let Some(n) = n_rays {
+        let collected = if n_rays >= 1 {
             // use ray casting
-            let rays = &self.ray_directions[..n];
+            let rays = &self.ray_directions[..n_rays];
             let clos = |r: ArrayView1<f64>| {
                 mesh_contains_point(&self.mesh, &Point::new(r[0], r[1], r[2]), rays, consensus)
             };
@@ -242,7 +242,7 @@ impl TriMeshWrapper {
             .as_array()
             .rows()
             .into_iter()
-            .zip(tgt_points.as_array().rows().into_iter())
+            .zip(tgt_points.as_array().rows())
             .zip(0_u64..)
             .for_each(|((src, tgt), i)| {
                 if let Some((pt, is_bf)) = points_cross_mesh(
@@ -265,25 +265,6 @@ impl TriMeshWrapper {
         )
     }
 
-    #[deprecated]
-    pub fn intersections_many_threaded(
-        &self,
-        src_points: Vec<Vec<Precision>>,
-        tgt_points: Vec<Vec<Precision>>,
-    ) -> (Vec<u64>, Vec<Vec<Precision>>, Vec<bool>) {
-        let (idxs, (intersections, is_backface)) = src_points
-            .into_par_iter()
-            .zip(tgt_points.into_par_iter())
-            .enumerate()
-            .filter_map(|(i, (src, tgt))| {
-                points_cross_mesh(&self.mesh, &vec_to_point(src), &vec_to_point(tgt))
-                    .map(|o| (i as u64, (point_to_vec(&o.0), o.1)))
-            })
-            .unzip();
-
-        (idxs, intersections, is_backface)
-    }
-
     pub fn intersections_many_threaded2<'py>(
         &self,
         py: Python<'py>,

src/utils.rs

@@ -83,7 +83,7 @@ pub fn mesh_contains_point(
             return false;
         }
     }
-    return false;
+    false
 }
 
 pub fn mesh_contains_point_oriented(mesh: &TriMesh, point: &Point<f64>) -> bool {

tests/test_bench.py

@@ -221,7 +221,7 @@ def test_trimesh_contains(trimesh_volume, sample_points, expected, benchmark):
 
 
 @pytest.mark.benchmark(group=CONTAINS_SERIAL)
-@pytest.mark.parametrize("n_rays", [0, 1, 2, 4, 8, 16])
+@pytest.mark.parametrize("n_rays", [1, 2, 4, 8, 16])
 def test_ncollpyde_contains(mesh, n_rays, sample_points, expected, benchmark):
     ncollpyde_volume = Volume.from_meshio(mesh, n_rays=n_rays)
     ncollpyde_volume.threads = False

tests/test_ncollpyde.py

@@ -57,12 +57,6 @@ def test_contains_results(volume: Volume):
     assert np.allclose(ray, psnorms)
 
 
-def test_0_rays(mesh):
-    vol = Volume.from_meshio(mesh, n_rays=0)
-    points = [p for p, _ in points_expected]
-    assert np.array_equal(vol.contains(points), [False] * len(points))
-
-
 def test_no_validation(mesh):
     triangles = mesh.cells_dict["triangle"]
     Volume(mesh.points, triangles, True)