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setup.py
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setup.py
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import codecs
import os
from setuptools import setup
from setuptools import find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
install_requires = ['matplotlib',
'numpy',
'scipy',
'six',
'setuptools',
'scikit-learn==0.22.1',
'Pillow==7.0.0']
# Comment out because of compatibility issues with numpy versions
# 'catboost',
tests_require = ['pytest-pep8',
'codecov'
'h5py',
'requests',
'keras>=2.2.5',
'mxnet',
'torch>=1.2.0',
'tensorflow>=1.14.0',
'scikit-learn==0.22.1',
'xgboost==1.0.0',
'lightgbm==2.3.1',
'GPy==1.9.9',
'numpy==1.18.1'
'scipy==1.4.1',
'statsmodels==0.11.0',
'cma==2.7.0']
docs_require = ['sphinx >= 1.4',
'sphinx_rtd_theme']
def read(rel_path):
here = os.path.abspath(os.path.dirname(__file__))
with codecs.open(os.path.join(here, rel_path), 'r') as fp:
return fp.read()
def get_version(rel_path):
for line in read(rel_path).splitlines():
if line.startswith('__version__'):
delim = '"' if '"' in line else "'"
return line.split(delim)[1]
raise RuntimeError("Unable to find version string.")
setup(name='adversarial-robustness-toolbox',
version=get_version("art/__init__.py"),
description='Toolbox for adversarial machine learning.',
long_description=long_description,
long_description_content_type='text/markdown',
author='Irina Nicolae',
author_email='[email protected]',
maintainer='Beat Buesser',
maintainer_email='[email protected]',
url='https://github.com/IBM/adversarial-robustness-toolbox',
license='MIT',
install_requires=install_requires,
tests_require=tests_require,
extras_require={
'tests': tests_require,
'docs': docs_require
},
classifiers=['Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
'Topic :: Scientific/Engineering :: Artificial Intelligence'],
packages=find_packages(),
include_package_data=True)