[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "lawslm"
version = "0.1.0"
description = "An industrial-grade Small Language Model (SLM) ecosystem built completely from scratch in PyTorch."
readme = "README.md"
requires-python = ">=3.9"
license = {text = "MIT"}
authors = [
    {name = "AI Research Scientist", email = "researcher@example.com"}
]
keywords = ["transformer", "language-model", "slm", "deep-learning", "pytorch", "bpe-tokenizer"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

dependencies = [
    "torch>=2.0.0",
    "numpy>=1.24.0",
    "pyyaml>=6.0",
    "fastapi>=0.95.0",
    "uvicorn>=0.21.0",
    "pydantic>=2.0",
    "requests>=2.28.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
    "black>=23.0.0",
    "isort>=5.12.0",
    "mypy>=1.0.0",
    "tensorboard>=2.12.0",
]

[project.scripts]
slm-cli = "slm.cli.main:main"

[tool.setuptools.packages.find]
where = ["."]
include = ["slm*"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = "test_*.py"
addopts = "-v --tb=short"