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setup.py
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setup.py
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from setuptools import setup, find_packages
from codecs import open
import numpy
import os
# thanks Pipy for handling markdown now
ROOT = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(ROOT, 'README.md'), encoding="utf-8") as f:
README = f.read()
# We can actually import a restricted version of tslearn that
# does not need the compiled code
import tslearn
VERSION = tslearn.__version__
# The following block
# is copied from sklearn as a way to avoid cythonizing source
# files in source dist
# We need to import setuptools before because it monkey-patches distutils
from distutils.command.sdist import sdist
cmdclass = {'sdist': sdist}
setup(
name="tslearn",
description="A machine learning toolkit dedicated to time-series data",
long_description=README,
long_description_content_type='text/markdown',
license='BSD-2-Clause',
classifiers=[
"License :: OSI Approved :: BSD License"
],
include_dirs=[numpy.get_include()],
packages=find_packages(),
package_data={"tslearn": [".cached_datasets/singleTrainTest.csv", ".cached_datasets/Trace.npz"]},
install_requires=['numpy', 'scipy', 'scikit-learn', 'numba', 'joblib'],
extras_require={'tests': ['pytest', 'torch'], 'pytorch': ['torch']},
version=VERSION,
url="http://tslearn.readthedocs.io/",
project_urls={
"Source": "https://github.com/tslearn-team/tslearn",
},
author="Romain Tavenard",
author_email="romain.tavenard@univ-rennes2.fr",
cmdclass=cmdclass
)