[project]
name = "numpydantic"
version = "1.5.2"
description = "Type and shape validation and serialization for arbitrary array types in pydantic models"
authors = [
    {name = "sneakers-the-rat", email = "sneakers-the-rat@protonmail.com"},
]
dependencies = [
    "pydantic>=2.3.0",
    "numpy>=1.24.0",
    "typing-extensions>=4.11.0;python_version<'3.11'"
]
requires-python = "<4.0,>=3.9"
readme = "README.md"
repository = "https://github.com/p2p-ld/numpydantic"
license = {text = "MIT"}
keywords = [
    "arrays",
    "validation",
    "serialization",
    "numpy",
    "pydantic",
]
classifiers = [
    "Framework :: Pydantic",
    "Framework :: Pydantic :: 2",
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Natural Language :: English",
    "Operating System :: MacOS",
    "Operating System :: Microsoft :: Windows",
    "Operating System :: POSIX :: Linux",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: File Formats :: JSON :: JSON Schema",
    "Topic :: Utilities"
]

[project.urls]
homepage = "https://numpydantic.readthedocs.io"
documentation = "https://numpydantic.readthedocs.io"
repository = "https://github.com/p2p-ld/numpydantic"
changelog = "https://numpydantic.readthedocs.io/en/latest/changelog.html"


[project.optional-dependencies]
dask = [
    "dask>=2024.4.0",
]
hdf5 = [
    "h5py>=3.10.0"
]
video = [
    "opencv-python>=4.9.0.80",
]
zarr = [
    "zarr>=2.17.2",
]
arrays = [
    "numpydantic[dask,hdf5,zarr,video]"
]
tests = [
    "numpydantic[arrays]",
    "pytest>=7.4.0",
    "pytest-depends<2.0.0,>=1.0.1",
    "coverage>=6.1.1",
    "pytest-cov<5.0.0,>=4.1.0",
    "coveralls<4.0.0,>=3.3.1",
]
docs = [
    "sphinx<8.0.0,>=7.2.6",
    "furo>=2024.1.29",
    "myst-parser<3.0.0,>=2.0.0",
    "autodoc-pydantic<3.0.0,>=2.0.1",
    "sphinx-design<1.0.0,>=0.5.0",
    "sphinxcontrib-mermaid>=0.9.2",
]
dev = [
    "numpydantic[tests,docs]",
    "sphinx-autobuild>=2021.3.14",
    "black<25.0.0,>=24.1.1",
    "ruff<1.0.0,>=0.2.0"
]


[tool.pdm]
distribution = true

[tool.pdm.build]
includes = []
[build-system]
requires = ["pdm-backend"]
build-backend = "pdm.backend"

[tool.pytest.ini_options]
addopts = [
    "--cov=numpydantic",
    "--cov-append",
]
testpaths = [
    "tests"
]
filterwarnings = [
    # nptyping's alias warnings
    'ignore:.*deprecated alias.*Deprecated NumPy 1\.24.*'
]

[tool.ruff]
target-version = "py311"
include = ["src/numpydantic/**/*.py", "pyproject.toml"]
exclude = ["tests"]

[tool.ruff.lint]
select = [
    # pycodestyle
    "E",
    # Pyflakes
    "F",
    # pyupgrade
    "UP",
    # flake8-bugbear
    "B",
    # flake8-simplify
    "SIM",
    # isort
    "I",
    # annotations
    "ANN",
    # perf
    "PERF",
    # numpy
    "NPY",
    ## ----------
    # pydocstyle
    # undocumented public objects
    "D100", "D101", "D102", "D103", "D104", "D106", "D107",
    # indentation
    "D207", "D208",
    # whitespace
    "D210", "D211",
    # emptiness
    "D419",
    # no pdb
    "T100",
]
ignore = [
    "ANN101", "ANN102", "ANN401", "ANN204",
    # explicit strict arg for zip
    "B905",
    # builtin type annotations
    "UP006", "UP035",
    # | for Union types (only supported >=3.10
    "UP007", "UP038",
    # docstrings for __init__
    "D107",
]

fixable = ["ALL"]

[tool.mypy]
plugins = [
    "pydantic.mypy"
]

[tool.coverage.run]
omit = [
    "src/numpydantic/vendor/*"
]