direct/pyproject.toml at main · NKI-AI/direct · GitHub

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[build-system]
requires = ["meson-python>=0.18", "meson>=1.5"]
build-backend = "mesonpy"

[project]
# Distribution name on PyPI. The import package is still `direct` (see
# meson.build / install_subdir), so `pip install direct-recon` then `import direct`.
name = "direct-recon"
description = "DIRECT - Deep Image REConsTruction - is a deep learning framework for MRI reconstruction."
readme = "README.rst"
license = { text = "Apache-2.0" }
requires-python = ">=3.12"
authors = [
    { name = "Jonas Teuwen", email = "j.teuwen@nki.nl" },
    { name = "George Yiasemis", email = "g.yiasemis@nki.nl" },
]
keywords = ["direct"]
classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: Apache Software License",
    "Natural Language :: English",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
]
# Static so uv can read metadata without invoking the build backend (required
# because `direct` is built without isolation; see `[tool.uv]` below). Kept in
# sync with meson.build and direct/__init__.py by tests/version_test.py.
version = "2.1.1"
dependencies = [
    "numpy>=2.4,<3",
    "h5py>=3.16",
    "omegaconf>=2.3",
    "torch>=2.11,<3",
    "torchvision>=0.26",
    "scikit-image>=0.26",
    "scikit-learn>=1.8",
    "tensorboard>=2.20",
    "tqdm>=4.67",
    "protobuf>=5.29,<8",
    "einops>=0.8",
]

[dependency-groups]
dev = [
    "pytest>=9",
    "ruff>=0.16.1",
    "ty>=0.0.38",
    "packaging>=25",
    "boto3>=1.40",
    "ismrmrd>=1.15",
    "pre-commit>=4",
]
# Build backend + tools. Installed into the environment so that `direct` can be
# built without build isolation (see `[tool.uv] no-build-isolation-package`),
# which keeps the meson-python editable install from baking a path to an
# ephemeral, isolated-build `ninja` that disappears once uv prunes its cache.
build = [
    "meson-python>=0.18",
    "meson>=1.5",
    "ninja>=1.11",
]
docs = [
    "sphinx>=9",
    "sphinx-copybutton>=0.5",
    "sphinx-book-theme>=1.2",
    "sphinx-autodoc-typehints>=3",
    "sphinx-paramlinks>=0.6",
    "sphinx-togglebutton>=0.3",
    "numpydoc>=1.10",
    "myst-parser>=5",
]

[tool.uv]
default-groups = ["dev", "build"]
# Build `direct` against the already-synced `build` group instead of an
# isolated build environment. Without this, meson-python's editable install
# records the absolute path of the isolated build env's `ninja`, which uv later
# deletes, breaking `import direct` on the next run. Matches the distribution
# name in `[project] name`, not the import package.
no-build-isolation-package = ["direct-recon"]

[tool.pytest.ini_options]
# Keep collection inside the project's own suite; never descend into the
# `bazel-*` convenience symlinks that point at the Bazel output tree.
testpaths = ["tests"]
norecursedirs = ["bazel-*", "projects", ".venv", "build", "dist"]

[project.scripts]
direct = "direct.cli.cli:main"

[project.urls]
Homepage = "https://github.com/NKI-AI/direct"

[tool.meson-python]
# The C++ extensions target the CPython 3.12 stable ABI (abi3), so non-Windows
# wheels are tagged `abi3` and a single wheel per platform serves every
# supported interpreter. Windows builds override this in the release workflow
# and emit per-version wheels.
limited-api = true

[tool.meson-python.args]
# Build nanobind (+ robin-map) from the committed subprojects/*.wrap and link
# them statically, so the extensions are self-contained on every platform.
setup = ["--wrap-mode=forcefallback", "-Ddefault_library=static"]

[tool.ty.environment]
python = ".venv"
python-version = "3.12"

[tool.ty.src]
include = ["direct"]

[tool.ty.rules]
# PyTorch's overload definitions are notoriously incomplete; surface them as
# warnings rather than errors so they don't drown out real issues.
no-matching-overload = "warn"
# The codebase still carries `# type: ignore` comments from mypy/pyright that ty
# does not need; surface those as hints rather than errors/warnings.
unused-type-ignore-comment = "ignore"
# OmegaConf and PyTorch make heavy use of attribute-style lazy submodule loading.
possibly-missing-submodule = "ignore"