pyproject.toml

# See PEP-517 and PEP-518 for details.

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

[project]
name = "nag-gs"
# version = "0.0.0"
description = "NAG-GS: Nesterov Accelerated Gradients with Gauss-Siedel splitting"
readme = "README.md"
requires-python = ">=3.8"
license = {text = "MIT"}
authors = [
    {name = "Daniel Bershatsky", email = "daniel.bershatsky@gmail.com"},
    {name = "Daniil Merkulov", email = "bratishka.mipt@gmail.com"},
]
keywords = [
    "optimizer",
    "accelerated-optimizer",
    "momentum-optimizer",
    "machine-learning",
    "optimization-and-control",
]
classifiers = [
    "Development Status :: 3 - Alpha",  # 4 - Beta, 5 - Production/Stable
    "License :: OSI Approved :: MIT License",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Mathematics",
    "Topic :: Scientific/Engineering :: Information Analysis",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Intended Audience :: Science/Research",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3 :: Only",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
]
dependencies = [
    "numpy~=1.22",
]
dynamic = ["version"]

[project.optional-dependencies]
test = [
    "pytest>=6.0.0",
]
jax = [
    "chex>=0.1.5",
    "jax>=0.3.20",
    "jax>=0.1.3",
]
pytorch = [
    "torch~=1.11",
]

[project.urls]
homepage = "https://github.com/skolai/na-gs"
documentation = "https://github.com/skolai/na-gs"
repository = "https://github.com/skolai/na-gs"

[tool.pytest.ini_options]
minversion = "6.0"
addopts = "-ra -q -m 'not benchmark'"
testpaths = ["tests"]

[tool.setuptools.packages.find]
namespaces = true

[tool.setuptools_scm]
write_to = "nag_gs/version.py"