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setup.py
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setup.py
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# encoding: utf-8
# (c) 2017-2024 Open Risk (https://www.openriskmanagement.com)
#
# concentrationMetrics is licensed under the Apache 2.0 license a copy of which is included
# in the source distribution of concentrationMetrics. This is notwithstanding any licenses of
# third-party software included in this distribution. You may not use this file except in
# compliance with the License.
#
# Unless required by applicable law or agreed to in writing, software distributed under
# the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
# either express or implied. See the License for the specific language governing permissions and
# limitations under the License.
from codecs import open
from setuptools import setup
__version__ = '0.6.0'
ver = __version__
long_descr = open('docs/source/description.rst', 'r', encoding='utf8').read()
setup(
name='concentrationMetrics',
version=ver,
description='A Python library for the computation of various concentration, inequality and diversity indices',
long_description=long_descr,
long_description_content_type='text/x-rst',
author='Open Risk',
author_email='[email protected]',
packages=['concentrationMetrics', 'datasets', 'examples.python'],
include_package_data=True,
url='https://github.com/open-risk/concentrationMetrics',
download_url='https://github.com/open-risk/concentrationMetrics/archive/v_0.5.0.tar.gz',
license='The MIT License (MIT)',
install_requires=[
'numpy',
'pandas',
'scipy',
'networkx',
'pytest'
],
zip_safe=False,
provides=['concentrationMetrics'],
keywords=['concentration', 'diversity', 'inequality', 'index'],
classifiers=[
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Intended Audience :: Financial and Insurance Industry',
'Development Status :: 3 - Alpha',
'License :: OSI Approved :: MIT License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3 :: Only',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Information Analysis'
]
)