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52 lines (46 loc) · 1.25 KB
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from setuptools import setup
meta = {}
with open("veni/meta.py") as fp:
exec(fp.read(), meta)
# Package meta-data.
IMPORTNAME = meta['__title__']
PIPNAME = meta['__packagename__']
DESCRIPTION = 'Python package for Deep Learning using forward automatic differentiation.'
URL = 'https://github.com/DSSC-projects/veni'
AUTHOR = meta['__author__']
VERSION = meta['__version__']
KEYWORDS = 'forward-AD'
REQUIRED = [
'jax', 'jaxlib', 'torch', 'numpy',
]
EXTRAS = {
'docs': ['sphinx', 'sphinx_rtd_theme'],
}
LDESCRIPTION = (
""
)
setup(
name=PIPNAME,
version=VERSION,
description=DESCRIPTION,
long_description=LDESCRIPTION,
author=AUTHOR,
classifiers=[
'Development Status :: 3 - Alpha',
'License :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Mathematics'
],
keywords=KEYWORDS,
url=URL,
license='MIT',
packages=setuptools.find_packages(),
install_requires=REQUIRED,
extras_require=EXTRAS,
include_package_data=True,
zip_safe=False,
)