orka-depth/setup.py at main · syedofc/orka-depth · GitHub

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from pathlib import Path

from setuptools import find_packages, setup


ROOT = Path(__file__).parent
README = (ROOT / "README.md").read_text(encoding="utf-8")

version_ns = {}
exec((ROOT / "orka" / "version.py").read_text(encoding="utf-8"), version_ns)


setup(
    name="orka-depth",
    version=version_ns["__version__"],
    description="Utilities for probing intermediate feature depth in PyTorch backbones",
    long_description=README,
    long_description_content_type="text/markdown",
    author="ORKA contributors",
    license="MIT",
    packages=find_packages(),
    include_package_data=True,
    python_requires=">=3.9",
    install_requires=[
        "torch>=1.13.0",
        "torchvision>=0.14.0",
        "numpy>=1.21.0",
        "tqdm>=4.64.0",
    ],
    extras_require={
        "dev": [
            "black>=24.0.0",
            "build>=1.5.0",
            "flake8>=7.0.0",
            "mypy>=1.8.0",
            "pytest>=8.0.0",
            "pytest-cov>=5.0.0",
        ],
    },
    entry_points={
        "console_scripts": [
            "orka-find=orka.cli:find_optimal_depth_cli",
            "orka-validate=orka.cli:validate_installation",
        ],
    },
    classifiers=[
        "Development Status :: 4 - Beta",
        "Intended Audience :: Developers",
        "Intended Audience :: Science/Research",
        "Programming Language :: Python :: 3",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
        "Programming Language :: Python :: 3.12",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
    ],
    keywords=[
        "computer vision",
        "feature extraction",
        "frozen backbone",
        "intermediate representations",
        "linear probing",
        "transfer learning",
    ],
    zip_safe=False,
)