pyproject.toml

[tool.poetry]
name = "numpy_pydantic_types"
version = "0.1.0a0"
description = "numpy-pydantic-types is a Python library providing numpy scalar data types compatible with pydantic, allowing for easy validation and enforcement of numerical precision in pydantic models."
authors = ["Álvaro Vázquez Ortiz <alvvazort@gmail.com>"]
maintainers = ["Álvaro Vázquez Ortiz <alvvazort@gmail.com>"]
readme = "README.md"
homepage = "https://github.com/eksavazquez/numpy-pydantic-types"
license = "MIT"

keywords = ["pydantic", "numpy", "typing", "validation"]
classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "Operating System :: OS Independent"
]

packages = [{include = "numpy_pydantic_types"}]

[tool.poetry.dependencies]
python = ">=3.9,<3.13"

numpy = ">=2.0.0"
pydantic = "^2.0"

[tool.poetry.group.dev.dependencies]
pytest = "^7.4.0"
coverage = "^7.5.1"

[tool.poetry.group.format.dependencies]
ruff = "*"

[tool.poetry.group.typecheck.dependencies]
mypy = "*"
pyright = "^1.1.338"

[tool.pytest.ini_options]
filterwarnings = [
    "ignore:invalid value encountered in multiply:RuntimeWarning",
]

[tool.black]
line-length = 120
target-version = ["py312"]

[tool.isort]
profile = "black"

[tool.ruff]
lint.ignore = ["F403", "F405"]

[tool.pyright]
include = ["numpy_pydantic_types/**", "tests/**"]
reportUnsupportedDunderAll = false

[tool.mypy]
ignore_missing_imports = true
packages = ["numpy_pydantic_types"]
plugins = [
  'numpy.typing.mypy_plugin',
]

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"