<commit_before>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='<NAME>',
      author_email='<EMAIL>',
      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',
    ],
)<commit_msg>fix bug in setup.py<commit_after>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='<NAME>',
      author_email='<EMAIL>',
      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',
    ],
)
{'fraction_non_alphanumeric': 0.15920398009950248, 'fraction_numerical': 0.026789131266743208, 'mean_word_length': 3.1295418641390205, 'pattern_counts': {'":': 0, '<': 7, '<?xml version=': 0, '>': 21, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '841041', 'n_tokens_mistral': 859, 'n_tokens_neox': 837, 'n_words': 173}