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setup.py
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import os
import sys
from setuptools import setup, find_packages
install_requires = [
"scprep>=1.0.0",
"phate>=0.4.0",
"scipy>=1.2.0",
"scikit-learn",
"graphtools>=1.0.0",
"joblib",
]
test_requires = ["nose", "nose2", "coverage", "coveralls"]
doc_requires = [
"sphinx",
"sphinxcontrib-napoleon",
]
scripts_requires = ["umap-learn", "networkx", "rpy2"]
if sys.version_info[:2] < (3, 5):
raise RuntimeError("Python version >=3.5 required.")
version_py = os.path.join(os.path.dirname(__file__), "demap", "version.py")
version = open(version_py).read().strip().split("=")[-1].replace('"', "").strip()
readme = open("README.rst").read()
setup(
name="demap",
version=version,
description="demap",
author="Scott Gigante, Krishnaswamy Lab, Yale University",
author_email="[email protected]",
packages=find_packages(),
license="GNU General Public License Version 3",
install_requires=install_requires,
extras_require={
"test": test_requires,
"doc": doc_requires,
"scripts": scripts_requires,
},
test_suite="nose2.collector.collector",
long_description=readme,
url="https://github.com/KrishnaswamyLab/demap",
download_url="https://github.com/KrishnaswamyLab/demap/archive/v{}.tar.gz".format(
version
),
keywords=["big-data", "computational-biology", "visualization",],
classifiers=[
"Development Status :: 3 - Alpha",
"Environment :: Console",
"Framework :: Jupyter",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Natural Language :: English",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Scientific/Engineering :: Visualization",
],
)