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setup.py
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setup.py
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import io
import os
import re
from setuptools import setup
def read(path, encoding='utf-8'):
path = os.path.join(os.path.dirname(__file__), path)
with io.open(path, encoding=encoding) as fp:
return fp.read()
def version(path):
"""Obtain the packge version from a python file e.g. pkg/__init__.py
See <https://packaging.python.org/en/latest/single_source_version.html>.
"""
version_file = read(path)
version_match = re.search(r"""^__version__ = ['"]([^'"]*)['"]""",
version_file, re.M)
if version_match:
return version_match.group(1)
raise RuntimeError("Unable to find version string.")
DESCRIPTION = "Python implementation of Friedman's Supersmoother"
LONG_DESCRIPTION = """
SuperSmoother in Python
=======================
This is an efficient implementation of Friedman's SuperSmoother based in
Python. It makes use of numpy for fast numerical computation.
For more information, see the github project page:
http://github.com/jakevdp/supersmoother
"""
NAME = "supersmoother"
AUTHOR = "Jake VanderPlas"
AUTHOR_EMAIL = "[email protected]"
MAINTAINER = "Jake VanderPlas"
MAINTAINER_EMAIL = "[email protected]"
URL = 'http://github.com/jakevdp/supersmoother'
DOWNLOAD_URL = 'http://github.com/jakevdp/supersmoother'
LICENSE = 'BSD 3-clause'
VERSION = version('supersmoother/__init__.py')
setup(name=NAME,
version=VERSION,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
url=URL,
download_url=DOWNLOAD_URL,
license=LICENSE,
install_requires=["numpy"],
tests_require=["scipy"],
packages=['supersmoother',
'supersmoother.tests',
],
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: Console',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Natural Language :: English',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6'],
)