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from setuptools import setup |
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from setuptools import find_packages |
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with open("README.md", 'r') as fh: |
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long_description = fh.read() |
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setup(name = "deeprobust", |
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version = "0.2.11", |
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author='MSU-DSE', |
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maintainer='MSU-DSE', |
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description = "A PyTorch library for adversarial robustness learning for image and graph data.", |
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long_description=long_description, |
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long_description_content_type = "text/markdown", |
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packages = find_packages(), |
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url='https://github.com/DSE-MSU/DeepRobust', |
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include_package_data=True, |
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install_requires = [ |
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'matplotlib>=3.1.1', |
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'numpy>=1.17.1', |
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'torch>=1.2.0', |
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'scipy>=1.3.1', |
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'torchvision>=0.4.0', |
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'texttable>=1.6.2', |
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'networkx>=2.4', |
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'numba>=0.48.0', |
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'Pillow>=7.0.0', |
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'scikit_learn>=0.22.1', |
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'scikit-image>=0.0', |
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'tensorboardX>=2.0', |
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'tqdm>=3.0', |
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'gensim>=4.3.0' |
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], |
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classifiers=[ |
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"Intended Audience :: Developers", |
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"Intended Audience :: Education", |
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"Intended Audience :: Science/Research", |
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"Programming Language :: Python :: 3.5", |
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"Programming Language :: Python :: 3.6", |
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"Programming Language :: Python :: 3.7", |
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"Programming Language :: Python :: 3.8", |
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"Topic :: Scientific/Engineering :: Mathematics", |
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"Topic :: Software Development :: Libraries :: Python Modules", |
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"Topic :: Software Development :: Libraries", |
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], |
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license="MIT", |
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) |
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