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setup.py
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setup.py
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# Copyright (C) 2020 Krishnaswamy Lab, Yale University
import os
from setuptools import setup, find_packages
install_requires = [
"numpy>=1.14.0",
"scipy>=1.1.0",
"graphtools>=1.5.0",
"pandas>=0.25",
"scprep>=1.0",
"pygsp",
"scikit-learn",
]
test_requires = [
"nose",
"nose2",
"coverage",
"coveralls",
"scikit-learn",
"packaging",
"matplotlib",
"parameterized",
"phate",
]
doc_requires = [
"sphinx",
"sphinxcontrib-napoleon",
"autodocsumm",
]
version_py = os.path.join(os.path.dirname(__file__), "meld", "version.py")
version = open(version_py).read().strip().split("=")[-1].replace('"', "").strip()
readme = open("README.md").read()
setup(
name="meld",
version=version,
description="MELD",
author="Daniel Burkhardt, Krishnaswamy Lab, Yale University",
author_email="[email protected]",
packages=find_packages(),
license="Dual License - See LICENSE file",
python_requires=">=3.5",
install_requires=install_requires,
extras_require={"test": test_requires, "doc": doc_requires},
test_suite="nose2.collector.collector",
long_description=readme,
long_description_content_type="text/markdown",
url="https://github.com/KrishnaswamyLab/MELD",
download_url="https://github.com/KrishnaswamyLab/MELD/archive/v{}.tar.gz".format(
version
),
keywords=["big-data", "manifold-learning", "computational-biology"],
classifiers=[
"Development Status :: 5 - Production/Stable",
"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 :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Topic :: Scientific/Engineering :: Bio-Informatics",
],
)
# get location of setup.py
setup_dir = os.path.dirname(os.path.realpath(__file__))