pyproject.toml

[tool.poetry]
name = "dlkoopman"
version = "1.2.0"
description = "A general-purpose Python package for Koopman theory using deep learning."
authors = ["Sourya Dey <sourya@galois.com>"]
maintainers = ["Galois dlkoopman team <dlkoopman@galois.com>"]
license = "MIT"
readme = "README.md"
repository = "https://github.com/GaloisInc/dlkoopman"
documentation = "https://galoisinc.github.io/dlkoopman/"
keywords = ["koopman theory", "koopman operator", "deep learning", "autoencoder"]
classifiers = [
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Physics"
]

[tool.poetry.dependencies]
python = "^3.9"
tqdm = "^4.61.1"
shortuuid = "^1.0.9"
torch = ">=1.12.1"
numpy = "^1.23.0"
pandas = ">=1.2.3"
matplotlib = "^3.4.2"

[tool.poetry.group.dev.dependencies]
pytest = "^7.1.2"
pdoc3 = "^0.10.0"

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"