dowhy/setup.py

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Python
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"""A setuptools based setup module for dowhy.
Adapted from:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
# Get the required packages
with open(path.join(here, 'requirements.txt'), encoding='utf-8') as f:
install_requires = f.read().splitlines()
# Plotting packages are optional to install
extras = ["plotting"]
extras_require = dict()
for e in extras:
req_file = "requirements-{0}.txt".format(e)
with open(req_file) as f:
extras_require[e] = [line.strip() for line in f]
# Loading version number
with open(path.join(here, 'dowhy', 'VERSION')) as version_file:
version = version_file.read().strip()
print(version)
setup(
name='dowhy',
version=version,
description='DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions.', # Required
license='MIT',
long_description=long_description,
url='https://github.com/microsoft/dowhy', # Optional
download_url='https://github.com/microsoft/dowhy/archive/v0.7.1.tar.gz',
author='Amit Sharma, Emre Kiciman',
classifiers=[ # Optional
'Development Status :: 4 - Beta',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
],
keywords='causality machine-learning causal-inference statistics graphical-model',
packages=find_packages(exclude=['docs', 'tests']),
python_requires='>=3.6',
install_requires=install_requires,
extras_require=extras_require,
include_package_data=True,
package_data={'dowhy':['VERSION']}
)