<commit_before>from setuptools import setup
import os

df = []
for m in os.listdir('modules'):
    for f in os.listdir('modules/%s' % m):
        if f.endswith('.py') or f.endswith('.pl'):
            df.append(('share/zamia-ai/modules/%s' % m, ['modules/%s/%s' % (m, f)]))
 
# print repr(df)

setup(
    name                 = 'zamia-ai',
    version              = '0.1.1',
    description          = 'Free and open source A.I. system based on Python, TensorFlow and Prolog.',
    long_description     = open('README.md').read(),
    author               = '<NAME>',
    author_email         = '<EMAIL>',
    maintainer           = '<NAME>',
    maintainer_email     = '<EMAIL>',
    url                  = 'https://github.com/gooofy/zamia-ai',
    packages             = ['zamiaai'],
    install_requires     = [
                            'py-nltools', 'pyxsb', 'cmdln', 'pytz', 'tzlocal', 'six', 'sqlalchemy'
                           ],
    scripts              = [ 'zaicli' ],
    classifiers          = [
                               'Operating System :: POSIX :: Linux',
                               'License :: OSI Approved :: Apache Software License',
                               'Programming Language :: Python :: 2',
                               'Programming Language :: Python :: 2.7',
                               'Programming Language :: Python :: 3',
                               'Programming Language :: Python :: 3.5',
                               'Programming Language :: Cython',
                               'Programming Language :: C++',
                               'Intended Audience :: Developers',
                               'Topic :: Software Development :: Libraries :: Python Modules',
                               'Topic :: Multimedia :: Sound/Audio :: Speech'
                               'Topic :: Scientific/Engineering :: Artificial Intelligence'
                           ],
    license              = 'Apache',
    keywords             = 'natural language processing tokenizer nlp tts asr speech synthesis recognition tensorflow artificial-intelligence natural-language-processing prolog knowledgebase semantic-web',
    data_files           = df
    )<commit_msg>add missing dependency<commit_after>from setuptools import setup
import os

df = []
for m in os.listdir('modules'):
    for f in os.listdir('modules/%s' % m):
        if f.endswith('.py') or f.endswith('.pl'):
            df.append(('share/zamia-ai/modules/%s' % m, ['modules/%s/%s' % (m, f)]))
 
# print repr(df)

setup(
    name                 = 'zamia-ai',
    version              = '0.1.1',
    description          = 'Free and open source A.I. system based on Python, TensorFlow and Prolog.',
    long_description     = open('README.md').read(),
    author               = '<NAME>',
    author_email         = '<EMAIL>',
    maintainer           = '<NAME>',
    maintainer_email     = '<EMAIL>',
    url                  = 'https://github.com/gooofy/zamia-ai',
    packages             = ['zamiaai'],
    install_requires     = [
                            'py-nltools', 'pyxsb', 'cmdln', 'pytz', 'tzlocal', 'six', 'sqlalchemy', 'scipy', 'codegen'
                           ],
    scripts              = [ 'zaicli' ],
    classifiers          = [
                               'Operating System :: POSIX :: Linux',
                               'License :: OSI Approved :: Apache Software License',
                               'Programming Language :: Python :: 2',
                               'Programming Language :: Python :: 2.7',
                               'Programming Language :: Python :: 3',
                               'Programming Language :: Python :: 3.5',
                               'Programming Language :: Cython',
                               'Programming Language :: C++',
                               'Intended Audience :: Developers',
                               'Topic :: Software Development :: Libraries :: Python Modules',
                               'Topic :: Multimedia :: Sound/Audio :: Speech'
                               'Topic :: Scientific/Engineering :: Artificial Intelligence'
                           ],
    license              = 'Apache',
    keywords             = 'natural language processing tokenizer nlp tts asr speech synthesis recognition tensorflow artificial-intelligence natural-language-processing prolog knowledgebase semantic-web',
    data_files           = df
    )
{'fraction_non_alphanumeric': 0.12113115119127144, 'fraction_numerical': 0.004008016032064128, 'mean_word_length': 1.367949393779652, 'pattern_counts': {'":': 0, '<': 11, '<?xml version=': 0, '>': 11, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 4, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '3556945', 'n_tokens_mistral': 1127, 'n_tokens_neox': 1102, 'n_words': 284}