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setup.py
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setup.py
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""" A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
from setuptools import setup, find_packages
from codecs import open
from os import path
_HERE = path.abspath(path.dirname(__file__))
_README_FILE_NAME = "README.md"
_README_FILE_ENCODING = "utf8"
# Get the long description from the README file
with open(path.join(_HERE, _README_FILE_NAME),
encoding=_README_FILE_ENCODING) as file:
long_description = file.read()
setup(
name="clus",
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version="0.0.2",
author="BIZZOZZÉRO Nicolas",
author_email="[email protected]",
description="A complete fuzzy clus framework",
# long_description=long_description,
# long_description_content_type="text/markdown",
license="gpl-v3",
url="https://github.com/NicolasBizzozzero/clus",
download_url="",
# See https://pypi.org/classifiers
# or https://pypi.org/pypi?%3Aaction=list_classifiers
classifiers=[
"Development Status :: 3 - Alpha",
"Environment :: Console",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.7",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Mathematics",
],
# What does your project relate to?
keywords=["cli", "clus", "clustering", "fuzzy", "fuzzy_clustering", "research",
"upmc", "sorbonne", "sorbonne_universite"],
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(),
# Alternatively, if you want to distribute just a my_module.py, uncomment
# this:
# py_modules=["my_module"],
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=[
"wheel >= 0.33.6",
"click >= 7.0",
"matplotlib >= 3.1.1",
"memory-profiler >= 0.55.0",
"numpy >= 1.17.0",
"pandas >= 0.25.0",
"scikit-learn >= 0.21.3",
"scipy >= 1.3.0",
"tqdm >= 4.32.2"
],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
extras_require={
},
# Set to True if we use MANIFEST.in
include_package_data=False,
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
entry_points={
'console_scripts': [
"clus = clus.main:clus",
"hclus = clus.main:hclus",
"dclus = clus.main:dclus",
"eclus = clus.main:eclus"
],
},
)