<commit_before>#!/usr/bin/env python

__author__ = "<NAME>"
__copyright__ = "Copyright <NAME>, <NAME>, <NAME> (2019)"
__version__ = "2.2"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__date__ = "Jun 10 2019"

from setuptools import setup, Extension
import os
import unittest

module_dir = os.path.dirname(os.path.abspath(__file__))

if __name__ == "__main__":
    setup(
      name='SMACT',
      version='2.2',
      description='Semiconducting Materials by Analogy and Chemical Theory',
      long_description=open(os.path.join(module_dir, 'README.md')).read(),
      long_description_content_type='text/markdown',
      url='https://github.com/WMD-group/SMACT',
      author='<NAME>',
      author_email='<EMAIL>',
      license='MIT',
      packages=['smact', 'smact.tests'],
      package_data={
        'smact': ['data/*.txt', 'data/*.csv', 'data/*.data', 'data/*.xlsx', 'data/*.json']
      },
      zip_safe=False,
      test_suite='smact.tests.test',
      install_requires=['scipy', 'numpy', 'spglib', 'pymatgen', 'ase', 'pandas', 'pathos'],
      classifiers=[
        'Programming Language :: Python',
        'Development Status :: 5 - Production/Stable',
        'Intended Audience :: Science/Research',<commit_msg>Include structure predictor in bleeding edge pip from repo<commit_after>#!/usr/bin/env python

__author__ = "<NAME>"
__copyright__ = "Copyright <NAME>, <NAME>, <NAME> (2019)"
__version__ = "2.2"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__date__ = "Jun 10 2019"

from setuptools import setup, Extension
import os
import unittest

module_dir = os.path.dirname(os.path.abspath(__file__))

if __name__ == "__main__":
    setup(
      name='SMACT',
      version='2.2',
      description='Semiconducting Materials by Analogy and Chemical Theory',
      long_description=open(os.path.join(module_dir, 'README.md')).read(),
      long_description_content_type='text/markdown',
      url='https://github.com/WMD-group/SMACT',
      author='<NAME>',
      author_email='<EMAIL>',
      license='MIT',
      packages=['smact', 'smact.tests', 'smact.structure_prediction'],
      package_data={
        'smact': ['data/*.txt', 'data/*.csv', 'data/*.data', 'data/*.xlsx', 'data/*.json']
      },
      zip_safe=False,
      test_suite='smact.tests.test',
      install_requires=['scipy', 'numpy', 'spglib', 'pymatgen', 'ase', 'pandas', 'pathos'],
      classifiers=[
        'Programming Language :: Python',
        'Development Status :: 5 - Production/Stable',
        'Intended Audience :: Science/Research',
{'fraction_non_alphanumeric': 0.1740842851516345, 'fraction_numerical': 0.011815675462780622, 'mean_word_length': 3.712430426716141, 'pattern_counts': {'":': 2, '<': 19, '<?xml version=': 0, '>': 19, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '4449889', 'n_tokens_mistral': 881, 'n_tokens_neox': 845, 'n_words': 168}