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setup.py
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38 lines (36 loc) · 907 Bytes
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import setuptools
# Required packages
dependencies = [
"numpy",
"visdom"
]
documentation_packages = [
"sphinx",
"sphinxcontrib-napoleon",
"sphinxcontrib-programoutput"
]
testing_packages = [
"pytest",
"coverage"
]
setuptools.setup(
name='numpynet',
version='0.0.1',
author='Brad Beechler',
author_email='Chronocook@gmail.com',
description='Approachable neural net implementation in pure numpy',
url='https://github.com/UptakeOpenSource/numpynet',
packages=setuptools.find_packages(),
install_requires=dependencies,
extras_require={
'all': dependencies + documentation_packages,
'docs': documentation_packages
},
test_suite="tests",
zip_safe=False,
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Education',
'Programming Language :: Python :: 3 :: Only'
]
)