pyproject.toml

[tool.poetry]
name = "climatereconstructionAI"
version = "0.2.0"
description = "Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutions."
authors = ["Climate Informatics and Technology group at DKRZ (Deutsches Klimarechenzentrum)"]
license = "BSD 3-Clause"
readme = "README.md"

homepage = "https://github.com/FREVA-CLINT/climatereconstructionAI/tree/clint"
repository = "https://github.com/FREVA-CLINT/climatereconstructionAI/tree/clint"
documentation = "https://github.com/FREVA-CLINT/climatereconstructionAI/tree/clint"
classifiers = [
    'Development Status :: 3 - Alpha',
    'Intended Audience :: Science/Research',
    'Topic :: Scientific/Engineering :: Artificial Intelligence',
    'Topic :: Scientific/Engineering :: Atmospheric Science',
    'License :: OSI Approved :: BSD License',
    "Operating System :: OS Independent",
    'Programming Language :: Python :: 3',
    'Programming Language :: Python :: 3.6',
    'Programming Language :: Python :: 3.7',
    'Programming Language :: Python :: 3.8',
    'Programming Language :: Python :: 3.9',
    "Programming Language :: Python :: 3.10",
    'Programming Language :: Python :: 3 :: Only',
]

[tool.poetry.dependencies]
python = ">= 3.10"
torch = ">=1.11.0"
tqdm = ">=4.64.0"
torchvision = ">=0.12.0"
torchmetrics= ">=0.11.2"
numpy = ">=1.21.6"
matplotlib = ">=3.5.1"
tensorboardX = ">=2.5"
tensorboard = ">=2.9.0"
xarray = ">=2022.3.0"
dask = ">=2022.7.0"
netcdf4 = ">=1.5.8"
setuptools = "==59.5.0"
xesmf = ">=0.6.2"
cartopy = ">=0.20.2"
numba = ">=0.55.1"

[tool.poetry.dev-dependencies]

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

[tool.poetry.scripts]
crai-evaluate = "climatereconstructionai.evaluate:evaluate"
crai-train = "climatereconstructionai.train:train"