<commit_before>from setuptools import setup, find_packages

with open('README.rst') as readme_file:
    readme = readme_file.read()

requirements = ['pandas>=0.17.1',
                'scikit-learn>=0.18.2',
                'scipy>=0.17.0',
                'oletools>=0.50',
                'joblib',
                ]

setup(
    name='mmbot',
    version='1.0.10',
    description='Malicious Macro Bot: Python module to classify and cluster Microsoft office documents.  '
                'Uses machine learning techniques to determine if VBA code is malicious or benign and '
                'groups similar documents together.',
    url='https://github.com/egaus/mmbot',
    author='<NAME>',
    author_email='<EMAIL>',
    license='MIT',
    packages=find_packages(exclude='tests'),
    scripts=['cli/mmbot'],
    install_requires=requirements,
    keywords='mmbot malicious macro bot office document security cyber malware',
    # include_package_data=True,
    package_data={'mmbot': ['model/modeldata.pickle', 'model/vocab.txt']},
    classifiers=[
        'Development Status :: 4 - Beta',
        'License :: OSI Approved :: MIT License',
        'Natural Language :: English',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3.5',
    ],
)

<commit_msg>new version<commit_after>from setuptools import setup, find_packages

with open('README.rst') as readme_file:
    readme = readme_file.read()

requirements = ['pandas>=0.17.1',
                'scikit-learn>=0.18.2',
                'scipy>=0.17.0',
                'oletools>=0.50',
                'joblib',
                ]

setup(
    name='mmbot',
    version='1.1.0',
    description='Malicious Macro Bot: Python module to classify and cluster Microsoft office documents.  '
                'Uses machine learning techniques to determine if VBA code is malicious or benign and '
                'groups similar documents together.',
    url='https://github.com/egaus/mmbot',
    author='<NAME>',
    author_email='<EMAIL>',
    license='MIT',
    packages=find_packages(exclude='tests'),
    scripts=['cli/mmbot'],
    install_requires=requirements,
    keywords='mmbot malicious macro bot office document security cyber malware',
    # include_package_data=True,
    package_data={'mmbot': ['model/modeldata.pickle', 'model/vocab.txt']},
    classifiers=[
        'Development Status :: 4 - Beta',
        'License :: OSI Approved :: MIT License',
        'Natural Language :: English',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3.5',
    ],
)


{'fraction_non_alphanumeric': 0.13491759294748945, 'fraction_numerical': 0.018014564967420467, 'mean_word_length': 2.6554621848739495, 'pattern_counts': {'":': 0, '<': 7, '<?xml version=': 0, '>': 15, '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': '6549405', 'n_tokens_mistral': 815, 'n_tokens_neox': 760, 'n_words': 183}