[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "llamafactory"
dynamic = ["version"]
description = "Unified Efficient Fine-Tuning of 100+ LLMs"
readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.9.0"
authors = [
    { name = "hiyouga", email = "hiyouga@buaa.edu.cn" }
]
keywords = [
    "AI",
    "LLM",
    "GPT",
    "ChatGPT",
    "Llama",
    "Transformer",
    "DeepSeek",
    "Pytorch"
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Education",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: Apache Software License",
    "Operating System :: OS Independent",
    "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"
]
dependencies = [
    # core deps
    "torch>=2.4.0",
    "torchvision>=0.19.0",
    "transformers>=4.49.0,<=4.56.2,!=4.52.0; python_version < '3.10'",
    "transformers>=4.49.0,<=4.57.1,!=4.52.0,!=4.57.0; python_version >= '3.10'",
    "datasets>=2.16.0,<=4.0.0",
    "accelerate>=1.3.0,<=1.11.0",
    "peft>=0.14.0,<=0.17.1",
    "trl>=0.8.6,<=0.9.6",
    "torchdata>=0.10.0,<=0.11.0",
    # gui
    "gradio>=4.38.0,<=6.2.0",
    "matplotlib>=3.7.0",
    "tyro<0.9.0",
    # ops
    "einops",
    "numpy",
    "pandas",
    "scipy",
    # model and tokenizer
    "sentencepiece",
    "tiktoken",
    "modelscope",
    "hf-transfer",
    "safetensors",
    # python
    "fire",
    "omegaconf",
    "packaging",
    "protobuf",
    "pyyaml",
    "pydantic",
    # api
    "uvicorn",
    "fastapi",
    "sse-starlette",
    # media
    "av",
    "librosa"
]

[project.optional-dependencies]
dev = ["pre-commit", "ruff", "pytest", "build"]
metrics = ["nltk", "jieba", "rouge-chinese"]
deepspeed = ["deepspeed>=0.10.0,<=0.16.9"]

[project.scripts]
llamafactory-cli = "llamafactory.cli:main"
lmf = "llamafactory.cli:main"

[project.urls]
Homepage = "https://github.com/hiyouga/LLaMA-Factory"
Repository = "https://github.com/hiyouga/LLaMA-Factory"

[tool.hatch.build.targets.wheel]
packages = ["src/llamafactory"]

[tool.hatch.version]
path = "src/llamafactory/extras/env.py"
pattern = "VERSION = \"(?P<version>[^\"]+)\""

[tool.ruff]
target-version = "py39"
line-length = 119
indent-width = 4

[tool.ruff.lint]
ignore = [
    "C408", # collection
    "C901", # complex
    "E501", # line too long
    "E731", # lambda function
    "E741", # ambiguous var name
    "D100", # no doc public module
    "D101", # no doc public class
    "D102", # no doc public method
    "D103", # no doc public function
    "D104", # no doc public package
    "D105", # no doc magic method
    "D107", # no doc __init__
]
extend-select = [
    "C",      # complexity
    "E",      # error
    "F",      # pyflakes
    "I",      # isort
    "W",      # warning
    "UP",     # pyupgrade
    "D",      # pydocstyle
    "PT009",  # pytest assert
    "RUF022", # sort __all__
]

[tool.ruff.lint.isort]
lines-after-imports = 2
known-first-party = ["llamafactory"]
known-third-party = [
    "accelerate",
    "datasets",
    "gradio",
    "numpy",
    "peft",
    "torch",
    "transformers",
    "trl",
]

[tool.ruff.lint.pydocstyle]
convention = "google"

[tool.ruff.format]
quote-style = "double"
indent-style = "space"
docstring-code-format = true
skip-magic-trailing-comma = false
line-ending = "auto"