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# This is based on the setup.py example at:
# https://github.com/pypa/sampleproject/blob/master/setup.py
from setuptools import setup
# To use a consistent encoding
import codecs
import os.path
long_description = """
virocon
=======
virocon is a software to compute environmental contours.
A longer description is available at: https://github.com/virocon-organization/virocon
"""
def read(rel_path):
here = os.path.abspath(os.path.dirname(__file__))
with codecs.open(os.path.join(here, rel_path), "r") as fp:
return fp.read()
def get_version(rel_path):
for line in read(rel_path).splitlines():
if line.startswith("__version__"):
delim = '"' if '"' in line else "'"
return line.split(delim)[1]
else:
raise RuntimeError("Unable to find version string.")
setup(
name="virocon",
version=get_version("virocon/__init__.py"),
description="ViroCon is a software to compute environmental contours",
long_description=long_description,
url="https://github.com/virocon-organization/virocon",
# We use git tags for this download_url. This approach is based on:
# https://peterdowns.com/posts/first-time-with-pypi.html
download_url="https://github.com/virocon-organization/virocon/archive/"
+ get_version("virocon/__init__.py")
+ ".tar.gz",
author="virocon team",
author_email="virocon@uni-bremen.de",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
],
python_requires=">=3.7",
packages=["virocon"],
install_requires=[
"matplotlib>=2.2.0",
"networkx",
"numpy",
"pandas",
"scikit-learn",
"scipy",
],
extras_require={
"dev": ["Sphinx", "black"],
"test": ["pytest", "pytest-cov", "coverage", "coveralls"],
},
project_urls={ # Optional
"Documentation": "https://virocon-organization.github.io/virocon/",
"Source Code": "https://github.com/virocon-organization/virocon",
},
)