<commit_before>from setuptools import setup, find_packages

import imp

version = imp.load_source('crema.version', 'crema/version.py')

setup(
    name='crema',
    version=version.version,
    description="Convolutional-recurrent estimators for music analysis",
    author='<NAME>',
    url='http://github.com/bmcfee/crema',
    download_url='http://github.com/bmcfee/crema/releases',
    packages=find_packages(),
    package_data={'': ['models/*/*.pkl',
                       'models/*/*.h5',
                       'models/*/*.json',
                       'models/*/*.txt']},
    long_description="Convolutional-recurrent estimators for music analysis",
    classifiers=[
        "License :: OSI Approved :: ISC License (ISCL)",
        "Programming Language :: Python",
        "Development Status :: 3 - Alpha",
        "Intended Audience :: Developers",
        "Topic :: Software Development",
        "Programming Language :: Python :: 3",
        "Programming Language :: Python :: 3.4",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
    ],
    keywords='audio music learning',
    license='ISC',
    install_requires=['six',
                      'librosa==0.5.0',
                      'jams>=0.2.2',
                      'scikit-learn>=0.18',
                      'keras>=2.0',
                      'tensorflow>=1.0',
                      'mir_eval>=0.4',
                      'pumpp>=0.3',
                      'h5py>=2.7'],
    extras_require={
        'docs': ['numpydoc', 'sphinx'],
        'tests': ['pytest', 'pytest-cov'],
        'training': ['pescador>=1.0', 'muda']
    }
)<commit_msg>version requirements<commit_after>from setuptools import setup, find_packages

import imp

version = imp.load_source('crema.version', 'crema/version.py')

setup(
    name='crema',
    version=version.version,
    description="Convolutional-recurrent estimators for music analysis",
    author='<NAME>',
    url='http://github.com/bmcfee/crema',
    download_url='http://github.com/bmcfee/crema/releases',
    packages=find_packages(),
    package_data={'': ['models/*/*.pkl',
                       'models/*/*.h5',
                       'models/*/*.json',
                       'models/*/*.txt']},
    long_description="Convolutional-recurrent estimators for music analysis",
    classifiers=[
        "License :: OSI Approved :: ISC License (ISCL)",
        "Programming Language :: Python",
        "Development Status :: 3 - Alpha",
        "Intended Audience :: Developers",
        "Topic :: Software Development",
        "Programming Language :: Python :: 3",
        "Programming Language :: Python :: 3.4",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
    ],
    keywords='audio music learning',
    license='ISC',
    install_requires=['six',
                      'librosa==0.5',
                      'jams>=0.2.2',
                      'scikit-learn==0.18',
                      'keras>=2.0',
                      'tensorflow>=1.0',
                      'mir_eval>=0.4',
                      'pumpp>=0.3',
                      'h5py>=2.7'],
    extras_require={
        'docs': ['numpydoc', 'sphinx'],
        'tests': ['pytest', 'pytest-cov'],
        'training': ['pescador>=1.0', 'muda']
    }
)
{'fraction_non_alphanumeric': 0.1643220592636935, 'fraction_numerical': 0.018258006584854835, 'mean_word_length': 1.9601417183348095, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 20, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 8, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2571215', 'n_tokens_mistral': 1014, 'n_tokens_neox': 972, 'n_words': 183}