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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open("README.md") as readme_file:
readme = readme_file.read()
with open("HISTORY.md") as history_file:
history = history_file.read()
requirements = [
"scmodels",
"numpy>=1.17.0",
"networkx>=2.0",
"pandas>=1.0",
"scikit-learn>=0.2",
"scipy>=1.3",
"matplotlib>=3.0",
"tqdm>=4.24.0",
"torch>=1.5",
"visdom"
]
setup_requirements = ["pytest-runner"]
test_requirements = ["pytest"]
extras_requirements = {"plot": ["pygraphviz"], "test": ["pytest"]}
author = "Michael Aichmueller"
setup(
author=author,
author_email="[email protected]",
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 3.7",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Topic :: Scientific/Engineering :: Mathematics",
],
description="Causality and Inference Methods",
install_requires=requirements,
license="MIT license",
long_description=readme + "\n\n" + history,
include_package_data=True,
keywords="causalpy causality invariant causal prediction bayesian graphs scm sem",
name="CausalPy",
packages=find_packages(exclude=("test",)),
setup_requires=setup_requirements,
test_suite="test",
tests_require=test_requirements,
extras_require=extras_requirements,
url="https://github.com/maichmueller/causalpy",
version="0.0.1",
zip_safe=False,
)