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68 lines (54 loc) · 2.06 KB
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""The setup script."""
import codecs
import os
import re
from setuptools import setup, find_packages
with open("README.rst") as readme_file:
readme = readme_file.read()
with open("HISTORY.rst") as history_file:
history = history_file.read()
requirements = ["joblib<1", "minio>=4,<5", "mlflow>=1.2.0,<2", "requests"]
setup_requirements = ["pytest-runner"]
test_requirements = ["pytest", "responses"]
here = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
with codecs.open(os.path.join(here, *parts), "r") as fp:
return fp.read()
def find_version(*file_paths):
version_file = read(*file_paths)
version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", version_file, re.M)
if version_match:
return version_match.group(1)
raise RuntimeError("Unable to find version string.")
setup(
author="AIA Science AS",
author_email="mflux.ai@aiascience.com",
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Natural Language :: English",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Version Control",
],
description="The Python client for MFlux.ai",
install_requires=requirements,
license="Apache License 2.0",
long_description=readme + "\n\n" + history,
include_package_data=True,
keywords="mflux_ai mlflow ml tracking ai workflow machine learning object storage dataset versioning",
name="mflux-ai",
packages=find_packages(include=["mflux_ai"]),
setup_requires=setup_requirements,
test_suite="tests",
tests_require=test_requirements,
python_requires=">=3.5, <4",
url="https://github.com/AIAScience/mflux-ai-python",
version=find_version("mflux_ai", "__init__.py"),
zip_safe=False,
)