pyproject.toml

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "separable-operator-networks"
version = "0.0.2"
description = "Separable operator models for extreme-scale learning of parametric PDEs"
readme = "README.md"
license = {file = "LICENSE.md"}
requires-python = ">=3.8"
keywords = [
  "operator learning",
  "scientific machine learning",
  "phyics-informed neural network",
  "deep operator network",
  "DeepONet",
  "partial differential equations",
  "PDE",
]
authors = [
  { name="Sean Hooten", email="sean.hooten@hpe.com" },
  { name="Xinling Yu", email="xyu644@ucsb.edu" },
]
maintainers = [
  { name="Sean Hooten", email="sean.hooten@hpe.com" },
  { name="Xinling Yu", email="xyu644@ucsb.edu" },
]
dependencies = [
  "numpy",
  "scipy",
  "jax",
  "equinox",
  "optax",
  "GPUtil",
  "diffrax",
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Physics",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
]

[project.optional-dependencies]
cuda12 = ["jax[cuda12]"]

[project.urls]
Homepage = "https://github.com/hewlettpackard/separable-operator-networks"
Issues = "https://github.com/hewlettpackard/separable-operator-networks/issues"
Repository = "https://github.com/hewlettpackard/separable-operator-networks.git"

[tool.hatch.build.targets.sdist]
exclude = ["*.png",
          "/data",
          "/docs",
          "/scripts",
          "/results",]

[tool.hatch.build.targets.wheel]
packages = ["src/separable_operator_networks"]