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from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as f:
long_description = f.read()
setup(
name="cnn-hypertuner",
version="1.0.0",
author="CNN HyperTuner",
description="CNN Hyperparameter Tuning via Soft Computing (GA, PSO, SA)",
long_description=long_description,
long_description_content_type="text/markdown",
packages=find_packages(),
python_requires=">=3.8",
install_requires=[
"torch>=2.0.0",
"torchvision>=0.15.0",
"numpy>=1.21.0",
"plotly>=5.0.0",
"streamlit>=1.20.0",
"pyyaml",
],
extras_require={
"viz": ["matplotlib", "seaborn"],
"dev": ["pytest", "pytest-cov", "twine"],
},
entry_points={
"console_scripts": [
"cnn-hypertuner=cnn_hypertuner.cli:main",
],
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
project_urls={
"Bug Tracker": "https://github.com/info-gallary/HyperTunner/issues",
"Source Code": "https://github.com/info-gallary/HyperTunner",
},
)