File size: 2,066 Bytes
c7e47b2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | """medleydb setup script"""
from setuptools import setup
import imp
import os
version = imp.load_source('medleydb.__version___', 'medleydb/version.py')
package_data = ['resources/*']
os.chdir('medleydb')
package_data.extend(['{0}/*'.format(root)
for root, dirs, files in os.walk('data')])
os.chdir('..')
if __name__ == "__main__":
setup(
name='medleydb',
version=version.version,
description='Python module for the MedleyDB dataset',
author='Rachel Bittner',
author_email='rachel.bittner@nyu.edu',
url='https://github.com/rabitt/medleydb',
download_url='http://github.com/rabitt/medleydb/releases',
packages=['medleydb'],
package_data={'medleydb': package_data},
classifiers=[
"License :: The MIT License (MIT)",
"Programming Language :: Python",
"Development Status :: 3 - Alpha",
'Intended Audience :: Telecommunications Industry',
'Intended Audience :: Science/Research',
'Environment :: Console',
'Environment :: Plugins',
'Topic :: Multimedia :: Sound/Audio :: Analysis',
'Topic :: Multimedia :: Sound/Audio :: Sound Synthesis'
'Topic :: Scientific/Engineering :: Information Analysis',
],
keywords='dataset multitrack music',
license='MIT',
install_requires=[
'sox >= 1.2.3',
'pyyaml >= 3.11',
'numpy >= 1.8.0',
'six >= 1.3',
'librosa >= 0.6.2',
'pydrive >= 1.3.1',
'scipy >= 0.13.0',
'scikit-learn >= 0.18'
],
extras_require={
'tests': [
'pytest',
'pytest-cov',
'pytest-pep8',
],
'docs': [
'sphinx==1.2.3', # autodoc was broken in 1.3.1
'sphinxcontrib-napoleon',
'sphinx_rtd_theme',
'numpydoc',
],
}
)
|