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setup.py
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import sys
import warnings
from setuptools import find_packages, setup
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.filterwarnings("ignore", message=r"Passing", category=FutureWarning)
if sys.version_info < (3, 9) or sys.version_info > (3, 12):
sys.exit("pyMAISE only supports python>=3.9 and python<=3.11")
# Get version from pyMAISE/__init__.py (always last line)
with open("pyMAISE/__init__.py") as f:
version = f.readlines()[-1].split()[-1][1:-1]
setup(
name="pyMAISE",
version=version,
packages=find_packages(include=["pyMAISE", "pyMAISE.*"]),
install_requires=[
"pandas",
"numpy<1.24",
"scikit-learn",
"scikit-optimize==0.9.0",
"tensorflow[and-cuda]>=2.12.0",
"keras-tuner",
"xarray==2023.10.1",
"scikeras",
"matplotlib",
"tqdm",
"pydot",
"graphviz",
],
extras_require={
"dev": [
"pytest",
"pytest-cov",
"pre-commit",
"flake8",
"black",
"docformatter",
"sphinx",
"sphinx_rtd_theme",
"jupyter",
"sphinxcontrib.bibtex",
"chardet",
"nbsphinx",
"opencv-python",
"scipy",
],
"benchmarks": ["jupyter", "opencv-python", "scipy"],
},
package_data={"pyMAISE.datasets": ["*.csv"]},
description="Michigan Artificial Intelligance Standard Environment",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
author="Patrick Myers",
author_email="myerspat@umich.edu",
project_urls={
"Documentation": "https://pymaise.readthedocs.io/en/latest/",
"Source Code": "https://github.com/myerspat/pyMAISE",
},
license="Apache 2.0",
classifiers=[
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.9",
],
)