old_contents: from setuptools import setup, find_packages
  from os import path
  import sys
  
  from io import open
  
  here = path.abspath(path.dirname(__file__))
  
  sys.path.insert(0, path.join(here, 'ogb'))
  
  # Get the long description from the README file
  with open(path.join(here, 'README.md'), encoding='utf-8') as f:
      long_description = f.read()
  
  setup(name='ogb',
        version='0.1.0',
        description='Open Graph Benchmark',
        url='https://github.com/snap-stanford/ogb',
        author='Weihua Hu',
        author_email='weihuahu@cs.stanford.edu',
        keywords=['pytorch', 'graph machine learning', 'graph representation learning', 'graph neural networks'],
        long_description=long_description,
        long_description_content_type='text/markdown',
        install_requires = [
          'torch>=1.2.0',
          'numpy>=1.16.0',
          'tqdm>=4.29.0',
          'scikit-learn>=0.20.0',
          'pandas>=0.24.0',
          'six>=1.12.0',
          'urllib3>=1.24.0'
        ],
        license='MIT',
        packages=find_packages(exclude=['dataset', 'examples', 'docs']),
        classifiers=[
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
          'Intended Audience :: Science/Research',
          'Programming Language :: Python :: 3.7',
          'License :: OSI Approved :: MIT License',
      ],
  )
new_contents: from setuptools import setup, find_packages
  from os import path
  import sys
  
  from io import open
  
  here = path.abspath(path.dirname(__file__))
  
  # Get the long description from the README file
  with open(path.join(here, 'README.md'), encoding='utf-8') as f:
      long_description = f.read()
  
  package_data_list = ['ogb/graphproppred/master.csv', 'ogb/nodeproppred/master.csv', 'ogb/linkproppred/master.csv']
  
  setup(name='ogb',
        version='0.1.3',
        description='Open Graph Benchmark',
        url='https://github.com/snap-stanford/ogb',
        author='Weihua Hu',
        author_email='weihuahu@cs.stanford.edu',
        keywords=['pytorch', 'graph machine learning', 'graph representation learning', 'graph neural networks'],
        long_description=long_description,
        long_description_content_type='text/markdown',
        install_requires = [
          'torch>=1.2.0',
          'numpy>=1.16.0',
          'tqdm>=4.29.0',
          'scikit-learn>=0.20.0',
          'pandas>=0.24.0',
          'six>=1.12.0',
          'urllib3>=1.24.0'
        ],
        license='MIT',
        packages=find_packages(exclude=['dataset', 'examples', 'docs']),
        package_data={'ogb': package_data_list},
        include_package_data=True,
        classifiers=[
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
          'Intended Audience :: Science/Research',
          'Programming Language :: Python :: 3.7',
          'License :: OSI Approved :: MIT License',
      ],
  )
subject: fix setup