climate_learn_ds/pyproject.toml at main · eceo-epfl/climate_learn_ds · GitHub

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

[project]
name = "climate-learn-ds"
version = "0.1.0"
authors = [
    { name = "Chang Xu", email = "chang.xu@epfl.ch" }
]
description = "GeoFAR: Geography-informed Frequency-Aware Representation for climate downscaling"
readme = "README.md"
requires-python = ">=3.9"
license = { text = "MIT" }

classifiers = [
    "Development Status :: 3 - Alpha",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Atmospheric Science",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]

dependencies = [
    "numpy",
    "torch",
    "pytorch-lightning",
    "xarray",
    "netcdf4",
    "matplotlib",
    "timm",
    "wandb"
]

[project.optional-dependencies]
dev = [
    "black",
    "flake8",
    "pytest",
    "build",
    "twine"
]

[project.urls]
Homepage = "https://github.com/eceo-epfl/climate_learn_ds"
Source = "https://github.com/eceo-epfl/climate_learn_ds"
Issues = "https://github.com/eceo-epfl/climate_learn_ds/issues"

[tool.setuptools.packages.find]
include = ["climate_learn_ds*"]