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setup.py
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setup.py
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import os
import sys
from setuptools import setup, find_packages
install_requires = [
"numpy",
"scipy",
"graphtools",
"phate",
"scikit-learn",
"tasklogger",
"joblib",
]
test_requires = ["nose2", "numpy", "coverage", "coveralls", "parameterized", "black"]
if sys.version_info[:2] < (3, 6):
raise RuntimeError("Python version >=3.6 required.")
version_py = os.path.join(os.path.dirname(__file__), "multiscale_phate", "version.py")
version = open(version_py).read().strip().split("=")[-1].replace('"', "").strip()
readme = open("README.md").read()
setup(
name="multiscale_phate",
version=version,
description="multiscale_phate",
author="Manik Kuchroo & Scott Gigante, Yale University",
author_email="manik.kuchroo@yale.edu",
packages=find_packages(),
include_package_data=True,
license="GNU General Public License Version 3",
install_requires=install_requires,
python_requires=">=3.6",
extras_require={"test": test_requires},
test_suite="nose2.collector.collector",
long_description=readme,
long_description_content_type="text/markdown",
url="https://github.com/KrishnaswamyLab/Multiscale_PHATE",
download_url="https://github.com/KrishnaswamyLab/Multiscale_PHATE/archive/v{}.tar.gz".format(
version
),
keywords=[
"big-data",
"computational-biology",
"dimensionality-reduction",
"visualization",
"embedding",
"manifold-learning",
],
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",
"Programming Language :: Python :: 3.7",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Scientific/Engineering :: Visualization",
],
)