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setup.py
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# HOW TO SETUP (FOR PIP)
# Go to the clust directory and remove dist/ and build folders by
# sudo rm -r dist/
# sudo rm -r build/
# Create the bdist_wheel file:
# sudo python3 setup.py sdist bdist_wheel
# Upload to pypi:
# twine upload dist/*
# You will be asked for username (basel) and pword
#
# Updating bioconda:
# Edit this GitHub file:
# https://github.com/bioconda/bioconda-recipes/edit/master/recipes/clust/meta.yaml
# Namely edit the version number and the sha256 number.
#
# Get the sha256 number by this in the command line:
# wget -O- $URL | shasum -a 256
# Where the URL is this (with {{ version }} filled:
# https://pypi.io/packages/source/c/clust/clust-{{ version }}.tar.gz
#
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
import sys
from os import path
from clust.scripts.glob import version
def setupmain(args=None):
if args is None:
args = sys.argv[1:]
here = path.abspath(path.dirname(__file__))
setup(
name='clust',
version=version,
description='Optimised consensus clustering of multiple heterogeneous datasets',
long_description='Optimised consensus clustering of multiple heterogeneous datasets',
# The project's main homepage.
url='https://github.com/baselabujamous/clust',
# Author details
author='Basel Abu-Jamous',
author_email='baselabujamous@gmail.com',
# Choose your license
license='OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)',
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Software Development :: Build Tools',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)',
# Specify the Python versions you support here.
'Programming Language :: Python :: 3',
],
# What does your project relate to?
keywords='',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['docs', 'tests']),
# 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=[
'joblib>=1.2.0',
'portalocker>=2.6.0',
'numpy>=1.23.4',
'scipy>=1.9.3',
'pandas>=1.5.0',
'matplotlib>=3.6.1',
'scikit-learn>=1.1.3',
],
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
# package_data={
# 'sample': ['package_data.dat'],
# },
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# data_files=[('my_data', ['data/data_file'])],
# 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': [
'clust=clust.__main__:main',
],
},
)
if __name__ == "__main__":
setupmain()