| """ |
| 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 |
|
|
| |
| 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", |
| ) |
|
|
|
|
