pyproject.toml

[build-system]
requires = [
  "setuptools",
  "wheel",
  "oldest-supported-numpy",
  "Cython",
]
build-backend = "setuptools.build_meta"

[project]
name = "coniferest"
version = "0.0.10"
description = "Coniferous forests for better machine learning"
readme = "README.md"
requires-python = ">=3.7"
authors = [
  { name = "Vladimir Korolev", email = "balodja@gmail.com" },
  { name = "SNAD team" },
]
license = { text = "MIT" }
classifiers =  [
  "License :: OSI Approved :: MIT License",
  "Intended Audience :: Science/Research",
  "Operating System :: Microsoft :: Windows",
  "Operating System :: POSIX :: Linux",
  "Operating System :: MacOS",
  "Programming Language :: Python",
  "Topic :: Scientific/Engineering",
]
dependencies = [
  "click",
  # We need it for cpu_count() only, but we have it anyway as a dependency of scikit-learn
  "joblib",
  "numpy",
  "scikit-learn>=1,<2",
  "matplotlib",
  "onnxconverter-common",
]

[project.optional-dependencies]
dev = [
  "pytest",
  "onnxruntime",
  # sciki-learn 1.3 changed pickle format, so we need it for consistency of regression test data
  "scikit-learn>=1.3",
]

[project.urls]
"Source Code" = "https://github.com/snad-space/coniferest"

[tool.setuptools.packages.find]
exclude = [
  "tests",
  "notebooks",
  "notes",
]

[tool.pytest.ini_options]
testpaths = [
  "tests",
]
markers = [
  "e2e",
  "long",
  "regression",
]
addopts = "-m 'not long'"

[tool.tox]
legacy_tox_ini = """
[tox]
envlist = py38,py39,py310,py311
isolated_build = True

[testenv]
extras = dev
commands =
    pytest
"""