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setup.py
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# -*- coding: utf-8 -*-
import pathlib
from setuptools import setup
ROOT_DIR = pathlib.Path(__file__).parent
def _get_version():
about = {}
ver_mod = ROOT_DIR / 'csaps' / '_version.py'
exec(ver_mod.read_text(), about)
return about['__version__']
def _get_long_description():
readme = ROOT_DIR / 'README.md'
changelog = ROOT_DIR / 'CHANGELOG.md'
return '{}\n{}'.format(
readme.read_text(encoding='utf-8'),
changelog.read_text(encoding='utf-8')
)
setup(
name='csaps',
version=_get_version(),
packages=['csaps'],
python_requires='>=3.6, <4',
install_requires=[
'numpy >=1.11.0, <1.21.0',
'scipy >=1.0.0, <1.7.0',
],
extras_require={
'docs': ['sphinx >=3.0.0, <4', 'matplotlib >=3.1', 'numpydoc', 'm2r2'],
'tests': ['pytest', 'coverage <6', 'pytest-cov', 'coveralls'],
},
package_data={"csaps": ["py.typed"]},
url='https://github.com/espdev/csaps',
project_urls={
'Documentation': 'https://csaps.readthedocs.io',
'Code': 'https://github.com/espdev/csaps',
'Issue tracker': 'https://github.com/espdev/csaps/issues',
},
license='MIT',
author='Eugene Prilepin',
author_email='[email protected]',
description='Cubic spline approximation (smoothing)',
long_description=_get_long_description(),
long_description_content_type='text/markdown',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Software Development :: Libraries',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python',
'Programming Language :: Python :: 3 :: Only',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: Implementation :: CPython',
],
)