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Copy pathsetup.py
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45 lines (41 loc) · 1.65 KB
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from setuptools import setup, find_packages
import pkg_resources
import predictit
version = predictit.__version__
with open("README.md") as readme_file:
readme = readme_file.read()
with open("requirements.txt") as f:
used_requirements = [str(requirement) for requirement in pkg_resources.parse_requirements(f)]
setup(
name="predictit",
version=version,
url="https://github.com/Malachov/predictit",
license="mit",
author="Daniel Malachov",
author_email="[email protected]",
install_requires=used_requirements,
description="Library/framework for making time series predictions with help of AutoML tools.",
long_description_content_type="text/markdown",
long_description=readme,
packages=find_packages(exclude=("tests",)),
include_package_data=True,
platforms="any",
classifiers=[
"Programming Language :: Python",
"Development Status :: 3 - Alpha",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Natural Language :: English",
"Environment :: Other Environment",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Software Development :: Libraries :: Application Frameworks",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Intended Audience :: Education",
],
extras_require={},
)