This patch adds builds for Windows (amd64)

.github/workflows/python_build_wheel.yaml

@@ -12,7 +12,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        os: [ubuntu-latest, macos-14]
+        os: [macos-14, windows-latest, ubuntu-latest]
 
     steps:
       - uses: actions/checkout@v4
@@ -24,7 +24,7 @@ jobs:
           platforms: all
 
       - name: Build wheels
-        uses: pypa/cibuildwheel@v2.17.0
+        uses: pypa/cibuildwheel@v2.20
 
       - uses: actions/upload-artifact@v4
         with:

include/torch_delaunay/triangle.h

@@ -47,7 +47,6 @@ circumcircle2d_kernel(
     const at::TensorAccessor<scalar_t, 1> p2
 )
 {
-    const auto ax = p0[0], ay = p0[1];
     const auto bx = p1[0] - p0[0], by = p1[1] - p0[1];
     const auto cx = p2[0] - p0[0], cy = p2[1] - p0[1];
 

pyproject.toml

@@ -1,7 +1,6 @@
 [project]
 name = "torch-delaunay"
 dynamic = ["version"]
-license = {file = "LICENSE"}
 
 description = "The Delaunay triangulation for PyTorch"
 authors = [
@@ -31,7 +30,10 @@ classifiers = [
   "Operating System :: MacOS"
 ]
 
-dependencies = ["shapely>=2.0.0", "torch >= 2.3.0, < 2.4.0"]
+dependencies = [
+  "torch >= 2.3.0, < 2.6.0; sys_platform == 'darwin' or sys_platform == 'linux'",
+  "torch >= 2.5.0, < 2.6.0; sys_platform == 'win32'",
+]
 
 
 [project.urls]
@@ -49,13 +51,18 @@ test = [
 ]
 
 
+[tool.setuptools]
+include-package-data = false
+
 [tool.setuptools.dynamic]
 version = {attr = "torch_delaunay.__version__"}
 
-
 [tool.setuptools.packages.find]
 include = ["torch_delaunay*"]
 
+[tool.setuptools.package-data]
+torch_delaunay = ["*.cc"]
+
 
 [build-system]
 build-backend = "setuptools.build_meta"
@@ -66,8 +73,10 @@ requires = [
   "numpy >= 1.4.0, < 2.0.0",
   "pybind11 >= 2.0.0, < 3.0.0",
   "setuptools ~= 70.0.0",
-  "torch >= 2.3.0, < 2.4.0; sys_platform == 'linux'",
-  "torch >= 2.3.0, < 2.4.0; sys_platform == 'darwin' or sys_platform == 'win'",
+  "torch >= 2.3.0, < 2.4.0; sys_platform == 'darwin' or sys_platform == 'linux'",
+  # Windows package build requires a fix with library import path, which is available
+  # only after 2.5.0.
+  "torch >= 2.5.0, < 2.6.0; sys_platform == 'win32'",
   "typing-extensions >= 4.8.0",
   "wheel >= 0.43.0"
 ]
@@ -101,9 +110,10 @@ repair-wheel-command = ""
 PIP_INDEX_URL = "https://download.pytorch.org/whl/cpu"
 PIP_EXTRA_INDEX_URL = "https://pypi.python.org/simple"
 
+[tool.cibuildwheel.windows]
+archs = ["AMD64"]
 [tool.cibuildwheel.macos]
 archs = ["arm64"]
-
 [tool.cibuildwheel.linux]
 archs = ["aarch64", "x86_64"]
 manylinux-x86_64-image = "manylinux2014"

src/sweephull.cc

@@ -258,12 +258,13 @@ struct shull {
     inline void
     push_halfedge(int64_t a, int64_t b)
     {
-        TORCH_CHECK(a <= halfedges.size(), "shull2d: encountered wrong half-edge: ", a, " -> ", b);
+        int64_t halfedges_size = static_cast<int64_t>(halfedges.size());
+        TORCH_CHECK(a <= halfedges_size, "shull2d: encountered wrong half-edge: ", a, " -> ", b);
 
-        if (a < halfedges.size()) {
+        if (a < halfedges_size) {
             halfedges[a] = b;
         }
-        if (a == halfedges.size()) {
+        if (a == halfedges_size) {
             halfedges.push_back(b);
         }
     }
@@ -399,7 +400,7 @@ shull2d_seed_kernel(const torch::Tensor& points, std::optional<scalar_t> eps)
 
     // For points p0 and p1, radii of circumscribed circle will be set to `nan`, therefore
     // at 0 index will be a point with the minimum radius.
-    std::size_t i = 0;
+    int64_t i = 0;
     for (; i < values.size(0); i++) {
         index2 = indices[i];
         p2 = points.index({index2}).view({-1, 2});

torch_delaunay/__init__.py

@@ -1,3 +1,3 @@
 from typing import Final
 
-__version__: Final[str] = "1.0.0rc3"
+__version__: Final[str] = "1.0.0"

torch_delaunay/functional.py

@@ -15,9 +15,10 @@
 
 from typing import Optional
 
-import torch_delaunay._C as _C
 from torch import Tensor
 
+import torch_delaunay._C as _C
+
 
 def shull2d(points: Tensor, eps: Optional[float] = None) -> Tensor:
     """Computes Delaunay tessellation for 2-dimensional coordinates.