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setup.py
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setup.py
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#!/usr/bin/env python
# (C) Copyright 2023 ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernmental organisation
# nor does it submit to any jurisdiction.
#
import io
import os
import setuptools
def read(fname):
file_path = os.path.join(os.path.dirname(__file__), fname)
return io.open(file_path, encoding="utf-8").read()
version = None
for line in read("ai_models_fourcastnetv2/__init__.py").split("\n"):
if line.startswith("__version__"):
version = line.split("=")[-1].strip()[1:-1]
assert version
setuptools.setup(
name="ai-models-fourcastnetv2",
version=version,
description="An ai-models plugin to run the Nvidia spherical harmonics FourCastNet v2 (small) model",
long_description=read("README.md"),
long_description_content_type="text/markdown",
author="European Centre for Medium-Range Weather Forecasts (ECMWF)",
author_email="[email protected]",
license="Apache License Version 2.0",
url="https://github.com/ecmwf-lab/ai-models-fourcastnetv2",
packages=setuptools.find_packages(),
include_package_data=True,
install_requires=[
"ai-models>=0.3.6",
"torch>=2.0.0",
"torch_harmonics==0.6.2",
"ruamel.yaml>=0.17.21",
],
zip_safe=True,
keywords="tool",
entry_points={
"ai_models.model": [
# "fourcastnetv2 = ai_models_fourcastnetv2.model:model",
"fourcastnetv2-small = ai_models_fourcastnetv2.model:model"
]
},
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: Implementation :: PyPy",
"Operating System :: OS Independent",
],
)