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setup.py
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import glob
import imp
from setuptools import find_packages, setup
version = imp.load_source("msaf.version", "msaf/version.py")
# MSAF configuration
setup(
name="msaf",
version=version.version,
description="Python module to discover the structure of music files",
author="Oriol Nieto",
author_email="[email protected]",
url="https://github.com/urinieto/msaf",
download_url="https://github.com/urinieto/msaf/releases",
packages=find_packages(),
package_data={"msaf": ["algorithms/olda/models/*.npy"]},
data_files=[
("msaf/algorithms/olda/models", glob.glob("msaf/algorithms/olda/models/*.npy"))
],
long_description="""A python module to segment audio into all its """
"""different large-scale sections and label them based on their """
"""acoustic similarity""",
classifiers=[
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Topic :: Multimedia :: Sound/Audio :: Analysis",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
],
keywords="audio music sound",
license="MIT",
install_requires=[
"audioread",
"cvxopt",
"decorator",
"enum34",
"future",
"jams >= 0.3.0",
"joblib",
"librosa >= 0.6.0",
"mir_eval",
"matplotlib >= 1.5",
"numpy >= 1.8.0",
"pandas",
"scikit-learn >= 0.17.0",
"scipy >= 0.13.0",
"seaborn", # For notebook example (but everyone should have this :-))
"vmo >= 0.3.3",
],
extras_require={
"resample": "scikits.samplerate>=0.3",
"tests": ["pytest", "pytest-cov"],
},
)