DataFlex/pyproject.toml at main · ChiangYuhsin/DataFlex · GitHub

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

[project]
name = "dataflex"
authors = [
    {name = "Hao Liang", email = "hao.liang@stu.pku.edu.cn"},
    {name = "Mingrui Chen", email = "charmier2003@gmail.com"},
]
description = "A data-centric training system for Large Language Models"
readme = {file = "README.md", content-type = "text/markdown"}
requires-python = ">=3.10"
license = {text = "Apache-2.0"}
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 :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3 :: Only",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
keywords = ["AI", "data-centric", "LLM", "training", "data selection", "Data Mixture"]
dynamic = ["version", "dependencies"]

[project.urls]
Github = "https://github.com/OpenDCAI/DataFlex"
Documentation = "https://opendcai.github.io/DataFlow-Doc"
"Bug Reports" = "https://github.com/OpenDCAI/DataFlex/issues"

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

[project.optional-dependencies]
torch = ["torch>=2.4.0,<=2.10.0", "torchvision>=0.19.0,<=0.21.0", "torchaudio>=2.4.0,<=2.6.0"]
torch-npu = ["torch==2.4.0", "torch-npu==2.4.0.post2", "decorator"]
metrics = ["nltk", "jieba", "rouge-chinese"]
flash-attn = ["flash-attn>=2.5.0"]
liger-kernel = ["liger-kernel>=0.5.5"]
bitsandbytes = ["bitsandbytes>=0.39.0"]
hqq = ["hqq"]
eetq = ["eetq"]
gptq = ["optimum>=1.24.0", "gptqmodel>=2.0.0"]
aqlm = ["aqlm[gpu]>=1.1.0"]
vllm = ["vllm>=0.4.3,<=0.9.1"]
galore = ["galore-torch"]
apollo = ["apollo-torch"]
badam = ["badam>=1.2.1"]
adam-mini = ["adam-mini"]
modelscope = ["modelscope"]
openmind = ["openmind"]
swanlab = ["swanlab"]
dev = ["pre-commit", "ruff", "pytest", "build"]

[tool.setuptools]
include-package-data = true

[tool.setuptools.packages.find]
where = ["src"]

[tool.setuptools.dynamic]
version = {attr = "dataflex.version.__version__"}
dependencies = {file = "requirements.txt"}

[tool.ruff]
target-version = "py310"
line-length = 119
indent-width = 4

[tool.ruff.lint]
ignore = ["C408", "C901", "E501", "E731", "E741", "W605"]
select = ["C", "E", "F", "I", "W"]

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

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

[tool.uv]
conflicts = [
    [
        { extra = "torch-npu" },
        { extra = "aqlm" },
    ],
    [
        { extra = "torch-npu" },
        { extra = "liger-kernel" },
    ],
    [
        { extra = "torch-npu" },
        { extra = "vllm" },
    ]
]