pyproject.toml

[build-system]
requires = ["setuptools>=57.4.0"]
build-backend = "setuptools.build_meta"

[tool.setuptools]
include-package-data = true

[tool.setuptools.packages.find]
where = ["src"]

[tool.setuptools.package-data]
"*" = ["*.txt"]

[tool.black]
line-length = 100
target-version = ['py37']

[tool.flake8]
exclude = ['.git','__pycache__','env']
max-line-length = 100
max-complexity = 12
ignore = ['N803','N806','N802','N801','E203','E231','E712','C417','W503','C408', 'E501']

[tool.mypy]
python_version = "3.7"
disallow_untyped_defs = true
ignore_missing_imports = true
ignore_missing_imports_per_module = true
disable_error_code = 'annotation-unchecked'
exclude = ['(?x)(^env|^src/thefittest/tests)']


[project]
name = "thefittest"
version = "0.2.4"
dependencies = ["numpy", "numba", "scipy", "scikit-learn"]
requires-python = ">=3.7,<3.12"
authors = [
  { name="Pavel Sherstnev", email="sherstpasha99@gmail.com"},
]
description = "Implementation of data mining methods that use evolutionary algorithms"
readme = "README.md"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]

[project.urls]
"Homepage" = "https://github.com/sherstpasha/thefittest"