pyproject.toml

[build-system]
requires = ["setuptools >= 61.0"]
build-backend = "setuptools.build_meta"

[tool.setuptools]
packages = ['gdcs']

[project]
name = "gdcs"
version = "0.0.1"
authors = [
    { name="Zheng Zhao", email="zz@zabemon.com" },
]
description = "Pedagogical examples in generative diffusions conditional sampling"
readme = "README.md"
license = {file = "LICENSE"}
requires-python = ">=3.9"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
    "Operating System :: OS Independent",
    "Intended Audience :: Science/Research",
    "Intended Audience :: Developers",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Information Analysis",
    "Topic :: Scientific/Engineering :: Mathematics"
]
keywords = ["Markov models", "JAX", "Bayesian inference", "stochastic filtering", "machine learning"]
dependencies = [
    "numpy==2.1.1",
    "jax==0.4.30",
    "jaxlib==0.4.30",
    "jaxopt==0.8.3",
    "optax==0.2.3",
    "flax==0.8.5",
    "matplotlib==3.9.2",
    "scipy==1.14.0", 
    "blackjax==1.2.3"
]

[project.urls]
homepage = "https://github.com/spdes/gdcs"
documentation = "https://github.com/spdes/gdcs"
repository = "https://github.com/spdes/gdcs"