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setup.py
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import os
from setuptools import setup, find_packages
# Utility function to read the README file.
# Used for the long_description. It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# string in below ...
# SCRIPTS = []
# SCRIPTS.extend([os.path.join("scripts", script)
# for script in os.listdir(os.path.join(os.path.dirname(__file__), "scripts"))
# if script.endswith(".py")])
HERE = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(HERE, 'README.md'), 'r') as fid:
LONG_DESCRIPTION = fid.read()
setup(
name="fununifrac",
version="0.0.1",
author="David Koslicki",
author_email="dmkoslicki@gmail.com",
description=("A repository to implement UniFrac, but on functional profiles of metagenomic data."),
long_description=LONG_DESCRIPTION,
#license="BSD-3-Clause", # see classifiers
keywords="unifrac kegg emd genomics metagenomics",
url="https://github.com/KoslickiLab/FunUniFrac",
packages=find_packages(),
install_requires=[
'blist',
'scipy==1.8.0',
'networkx==2.8.4',
'numpy==1.23.2',
'pandas==1.4.3',
'pyemd==0.5.1',
'sparse',
'requests',
'seaborn'
],
zip_safe=False,
# package_data={'CMash': ['data/*.fna', 'tests/Organisms/*.fna.gz']},
# scripts=SCRIPTS,
entry_points={
'console_scripts': [
'compute_fununifrac.py = fununifrac.compute_fununifrac:main',
'compute_edges.py = fununifrac.compute_edges:main',
'create_edge_matrix.py = fununifrac.create_edge_matrix:main'
]
},
classifiers=[
"Development Status :: 3 - Alpha",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Scientific/Engineering :: Mathematics",
"License :: OSI Approved :: BSD License",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Natural Language :: English",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX :: Linux",
]
)