Law_Slm / pyproject.toml
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[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"