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# Copyright 2024 ByteDance and/or its affiliates.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from setuptools import find_packages, setup
with open("requirements.txt") as f:
install_requires = f.read().splitlines()
setup(
name="protenix",
python_requires=">=3.10",
version="0.4.0",
description="A trainable PyTorch reproduction of AlphaFold 3.",
author="Bytedance Inc.",
url="https://github.com/bytedance/Protenix",
author_email="[email protected]",
packages=find_packages(
exclude=(
"assets",
"benchmark",
"*.egg-info",
)
),
include_package_data=True,
package_data={
"protenix": ["model/layer_norm/kernel/*"],
},
install_requires=install_requires,
license="Apache 2.0 License",
platforms="manylinux1",
entry_points={
"console_scripts": [
"protenix = runner.batch_inference:protenix_cli",
],
},
)
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