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# coding=utf-8

# SPDX-FileCopyrightText: Copyright (c) 2022 The FourCastNet Authors. All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
# 
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
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# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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#

from setuptools import setup

setup(
   name='torch_harmonics',
   version='0.4',
   author='Boris Bonev',
   author_email='bbonev@nvidia.com',
   packages=['torch_harmonics',],
   scripts=[],
   url='https://github.com/NVIDIA/torch-harmonics',
   license='LICENSE.md',
   description='a differentiable spherical harmonic transform for PyTorch',
   long_description=open('README.md').read(),
   install_requires=['torch','numpy']
)