"""
Setup script for LWMTemporal package.
This is kept for backward compatibility; the package primarily uses pyproject.toml.
"""

from setuptools import setup, find_packages
from pathlib import Path

# Read the README
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text(encoding="utf-8")

setup(
    name="lwm-temporal",
    version="0.1.0",
    author="Sadjad Alikhani",
    author_email="alikhani@asu.edu",
    description="Large Wireless Model (LWM) for spatio-temporal wireless channel prediction",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/yourusername/lwm-temporal",
    packages=find_packages(include=["LWMTemporal", "LWMTemporal.*"]),
    package_data={
        "LWMTemporal": ["models/config.json"],
    },
    install_requires=[
        "torch>=2.0.0",
        "numpy>=1.21.0",
        "matplotlib>=3.5.0",
    ],
    extras_require={
        "dev": [
            "pytest>=7.0",
            "black>=22.0",
            "flake8>=4.0",
            "mypy>=0.950",
        ],
        "wandb": ["wandb>=0.13.0"],
    },
    entry_points={
        "console_scripts": [
            "lwm-pretrain=LWMTemporal.cli.pretrain:main",
            "lwm-channel-prediction=LWMTemporal.cli.channel_prediction:main",
        ],
    },
    classifiers=[
        "Development Status :: 4 - Beta",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: MIT License",
        "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",
    ],
    python_requires=">=3.9",
    license="MIT",
    keywords="wireless channel-prediction transformer deep-learning pytorch",
)