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45 lines (40 loc) · 1.36 KB
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import os
from setuptools import setup, find_packages
def read(fname):
with open(fname, "r", encoding="utf-8") as f:
return f.read()
setup(
name="scann-model",
version="1.0",
author="Vu Tien-Sinh",
author_email="sinh.vt@jaist.ac.jp",
url="https://github.com/sinhvt3421/scann--material",
packages=find_packages(),
python_requires=">=3.9",
install_requires=[
"tensorflow>=2.8.0",
"scikit-learn",
"numpy",
"h5py",
"pyyaml",
"ase",
"pymatgen>=2023.8.10",
],
include_package_data=True,
keywords=["materials", "science", "interpretable", "deep", "attention", "networks", "neural"],
extras_require={"test": ["pytest", "pytest-datadir", "pytest-benchmark"]},
license="MIT",
description="SCANN - Self-Consistent Atention-based Neural Network",
long_description=read("README.md"),
long_description_content_type="text/markdown",
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Topic :: Scientific/Engineering :: Physics",
"Topic :: Software Development :: Libraries :: Python Modules",
],
)