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