quick-torch/setup.py at main · framunoz/quick-torch · GitHub

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from pathlib import Path

from pkg_resources import parse_requirements
from setuptools import find_packages, setup

LIBRARY_NAME = "quick_torch"  # Rename according to te "library" folder

# List of requirements
with Path("requirements.txt").open() as requirements_txt:
    install_requires = [
        str(requirement) for requirement in parse_requirements(requirements_txt)
    ]

# Long description
long_description = Path("README.md").read_text()

setup(
    name=LIBRARY_NAME,
    packages=find_packages(include=[LIBRARY_NAME]),
    version="1.0.4",
    description=("Library that provides a QuickDraw dataset using the Pytorch API."),
    url="https://github.com/framunoz/quick-torch",
    long_description=long_description,
    long_description_content_type="text/markdown",
    author="Francisco Muñoz G.",
    license="MIT",
    license_files=["LICENSE"],
    install_requires=install_requires,
    python_requires=">=3.10",
    setup_requires=["pytest-runner"],
    tests_requires=["pytest==4.4.1"],
    test_suite="tests",
    classifiers=[
        "Environment :: GPU :: NVIDIA CUDA :: 11.8",
        "Environment :: Console",
        "Intended Audience :: Developers",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
        "Programming Language :: Python",
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "Topic :: Scientific/Engineering :: Image Processing",
        "Topic :: Scientific/Engineering :: Image Recognition",
        "Topic :: Scientific/Engineering :: Visualization",
    ],
)