deepwave/pyproject.toml at master · ar4/deepwave · GitHub

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[build-system]
requires = ["scikit-build-core>=0.8.1"]
build-backend = "scikit_build_core.build"

[project]
name = "deepwave"
version = "0.0.26"
dependencies = [
    "torch",
    "setuptools"
]
authors = [{name = "Alan Richardson", email = "alan@ausargeo.com"}]
description = "Wave propagation modules for PyTorch"
readme = "README.md"
license = "MIT"
license-files = ["LICENSE"]
requires-python = ">=3.8"
classifiers = [
    "Programming Language :: Python :: 3",
]

[project.urls]
Homepage = "https://github.com/ar4/deepwave"
"Bug Tracker" = "https://github.com/ar4/deepwave/issues"

[tool.scikit-build]
wheel.py-api = "py3"
cmake.version = ">=3.18"
#cmake.build-type = "Debug"

[tool.cibuildwheel]
# Only build for one python version, as the wheel is python-independent
build = "cp311-*"
skip = ["*musllinux*"]

# Use an older manylinux image for better compatibility
manylinux-x86_64-image = "manylinux_2_28"
manylinux-aarch64-image = "manylinux_2_28"

build-verbosity = 1

archs = ["auto64"]

# Test configuration
test-requires = "pytest scipy torch ninja"
test-sources = "tests"

[tool.cibuildwheel.linux]
test-command = "pytest tests"
# Don't bundle CUDA libraries with the wheel
repair-wheel-command = "auditwheel repair -w {dest_dir} {wheel} --exclude libcuda.so.1 --exclude 'libcudart.so.*'"
before-test = "pip install torch --index-url https://download.pytorch.org/whl/cpu"

[tool.cibuildwheel.windows]
test-command = "pytest tests/test_scalar.py"

[tool.cibuildwheel.macos]
test-command = "pytest tests/test_scalar.py"

[tool.scikit-build.sdist]
exclude = [
    "tests/*",
    "docs/*",
    ".github/*",
    ".gitignore",
    "src/deepwave/*.so",
    "dist/*",
]

[tool.ruff.lint.pydocstyle]
convention = "google"