pyproject.toml

[build-system]
requires = ["setuptools>=45", "setuptools-scm[toml]>=6.2"]
build-backend = "setuptools.build_meta"

[project]
name = "metasynth"
authors = [
    {name = "Raoul Schram", email = "r.d.schram@uu.nl"},
    {name = "Erik-Jan van Kesteren", email = "e.vankesteren1@uu.nl"},
]
description = "Package for creating synthetic datasets while preserving privacy."
readme = "README.md"
requires-python = ">=3.8"
keywords = ["metadata", "open-data", "privacy", "synthetic-data", "tabular datasets"]
license = {file = "LICENSE"}
classifiers = [
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Development Status :: 3 - Alpha",
    "License :: OSI Approved :: MIT License",
]

dependencies = [
	"pandas",
	"polars>=0.14.17",
	"numpy>=1.20",
    "pyarrow",  # Dependency of polars since we're converting from pandas.
    "scipy",
    "numpy>=1.20",
    "faker",
    "scikit-learn",
    "jsonschema",
    "importlib-metadata;python_version<'3.10'",
    "wget",
]

dynamic = ["version"]

[project.urls]
GitHub = "https://github.com/sodascience/metasynth"
documentation = "https://metasynth.readthedocs.io/en/latest/index.html"

[project.optional-dependencies]
test = [
	"pytest", "pylint", "pydocstyle", "mypy", "flake8", "nbval",
	"sphinx", "sphinx-rtd-theme", "sphinxcontrib-napoleon", "sphinx-autodoc-typehints"
]

[project.entry-points."metasynth.disttree"]
builtin = "metasynth.disttree:BuiltinDistributionTree"

[tool.setuptools]
packages = ["metasynth"]

[tool.setuptools_scm]
write_to = "metasynth/_version.py"

[[tool.mypy.overrides]]
module = [
	"scipy.*",
	"pandas.*",
	"jsonschema.*",
	"sklearn.*",
	"importlib_metadata.*",
]
ignore_missing_imports = true

[tool.pylint.'MASTER']
ignore-patterns="_version.py"

[tool.pylint.'FORMAT']
max-line-length=100
max-locals=35

[tool.pylint.'BASIC']
good-names=["a", "b", "mu"]