setup.py

#!/usr/bin/env python3
"""
Setup script for TRM Book Package
Building Tiny Recursive Models from Scratch
"""

from setuptools import setup, find_packages
import os

# Read the README file
with open("README.md", "r", encoding="utf-8") as fh:
    long_description = fh.read()

# Read requirements
with open("requirements.txt", "r", encoding="utf-8") as fh:
    requirements = [line.strip() for line in fh if line.strip() and not line.startswith("#")]

# Read version from __init__.py
def get_version():
    """Get version from package __init__.py"""
    version_file = os.path.join("trm", "__init__.py")
    if os.path.exists(version_file):
        with open(version_file, "r", encoding="utf-8") as f:
            for line in f:
                if line.startswith("__version__"):
                    return line.split("=")[1].strip().strip('"\'')
    return "1.0.0"

setup(
    name="trm-book",
    version=get_version(),
    author="TRM Research Team",
    author_email="research@trm-project.org",
    description="Building Tiny Recursive Models from Scratch - Complete Guide",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/trm-project/book-trm",
    project_urls={
        "Bug Tracker": "https://github.com/trm-project/book-trm/issues",
        "Documentation": "https://trm-project.org/book",
        "Source Code": "https://github.com/trm-project/book-trm",
        "Community": "https://discord.gg/trm-project",
    },
    packages=find_packages(exclude=["tests", "tests.*", "docs", "docs.*"]),
    classifiers=[
        "Development Status :: 5 - Production/Stable",
        "Intended Audience :: Developers",
        "Intended Audience :: Education",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
        "Programming Language :: Python :: 3",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "Topic :: Software Development :: Libraries :: Python Modules",
        "Topic :: Education",
        "Topic :: Documentation",
    ],
    python_requires=">=3.8",
    install_requires=[
        "torch>=2.0.0",
        "numpy>=1.21.0",
        "matplotlib>=3.5.0",
        "seaborn>=0.11.0",
        "pandas>=1.3.0",
        "tqdm>=4.62.0",
        "transformers>=4.20.0",
        "datasets>=2.0.0",
        "scipy>=1.7.0",
        "scikit-learn>=1.0.0",
        "plotly>=5.10.0",
        "requests>=2.28.0",
        "pydantic>=1.10.0",
        "click>=8.0.0",
        "rich>=12.0.0",
    ],
    extras_require={
        "dev": [
            "pytest>=7.0.0",
            "pytest-cov>=4.0.0",
            "black>=22.0.0",
            "isort>=5.10.0",
            "flake8>=5.0.0",
            "mypy>=0.991",
            "pre-commit>=2.20.0",
            "jupyter>=1.0.0",
            "ipywidgets>=7.6.0",
        ],
        "docs": [
            "sphinx>=5.0.0",
            "sphinx-rtd-theme>=1.0.0",
            "mkdocs>=1.4.0",
            "mkdocs-material>=8.5.0",
        ],
        "gpu": [
            "onnx>=1.12.0",
            "onnxruntime-gpu>=1.12.0",
        ],
        "web": [
            "fastapi>=0.85.0",
            "uvicorn>=0.18.0",
            "httpx>=0.23.0",
        ],
        "tracking": [
            "wandb>=0.13.0",
            "tensorboard>=2.10.0",
            "mlflow>=2.0.0",
        ],
        "cloud": [
            "boto3>=1.24.0",
            "google-cloud-storage>=2.5.0",
            "azure-storage-blob>=12.12.0",
        ],
        "all": [
            "pytest>=7.0.0",
            "pytest-cov>=4.0.0",
            "black>=22.0.0",
            "isort>=5.10.0",
            "flake8>=5.0.0",
            "mypy>=0.991",
            "pre-commit>=2.20.0",
            "jupyter>=1.0.0",
            "ipywidgets>=7.6.0",
            "sphinx>=5.0.0",
            "sphinx-rtd-theme>=1.0.0",
            "mkdocs>=1.4.0",
            "mkdocs-material>=8.5.0",
            "onnx>=1.12.0",
            "onnxruntime-gpu>=1.12.0",
            "fastapi>=0.85.0",
            "uvicorn>=0.18.0",
            "httpx>=0.23.0",
            "wandb>=0.13.0",
            "tensorboard>=2.10.0",
            "mlflow>=2.0.0",
            "boto3>=1.24.0",
            "google-cloud-storage>=2.5.0",
            "azure-storage-blob>=12.12.0",
        ],
    },
    entry_points={
        "console_scripts": [
            "trm-train=trm.cli.train:main",
            "trm-generate=trm.cli.generate:main",
            "trm-evaluate=trm.cli.evaluate:main",
            "trm-serve=trm.cli.serve:main",
            "trm-book=trm.cli.book:main",
        ],
    },
    include_package_data=True,
    package_data={
        "trm": [
            "data/*.txt",
            "data/*.json",
            "models/*.pt",
            "models/*.pth",
            "configs/*.yaml",
            "configs/*.json",
            "examples/*.py",
            "utils/*.py",
        ],
    },
    zip_safe=False,
    keywords=[
        "artificial intelligence",
        "machine learning",
        "deep learning",
        "natural language processing",
        "transformers",
        "recursive models",
        "tiny models",
        "efficient computing",
        "neural networks",
        "pytorch",
    ],
    license="MIT",
    platforms=["any"],
)