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pyproject.toml
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137 lines (126 loc) · 3.87 KB
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# Code style
[tool.ruff]
line-length = 119
[tool.ruff.lint]
# Enable pycodestyle (`E`) and Pyflakes (`F`) codes by default.
# Never enforce `E501` (line length violations).
ignore = ["E501", "D100", "D101", "D102", "D103", "D104", "D415", "D105", "DOC501", "DOC201", "CPY001"]
select = ["C", "E", "F", "I", "W", "CPY", "D417", "DOC"]
preview = true
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.lint.isort]
lines-after-imports = 2
known-first-party = ["lighteval"]
[tool.ruff.format]
quote-style = "double" # Like Black, use double quotes for strings.
indent-style = "space" # Like Black, indent with spaces, rather than tabs.
skip-magic-trailing-comma = false # Like Black, respect magic trailing commas.
line-ending = "auto" # Like Black, automatically detect the appropriate line ending.
# Building package
[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
where = ["src"]
[tool.setuptools.package-data]
lighteval = ["py.typed"]
[project]
name = "lighteval"
version = "0.13.1.dev0"
authors = [
{ name="Nathan Habib", email="nathan.habib@huggingface.com" },
{ name="Clémentine Fourrier", email="clementine@huggingface.com" },
{ name="Thomas Wolf", email="thom@huggingface.com" },
]
maintainers = [
{ name="Nathan Habib", email="nathan.habib@huggingface.com" },
{ name="Clémentine Fourrier", email="clementine@huggingface.com" },
]
description = "A lightweight and configurable evaluation package"
readme = "README.md"
requires-python = ">=3.10"
license = {text = "MIT License"}
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Programming Language :: Python :: 3.10",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
keywords = ["evaluation", "nlp", "llm"]
dependencies = [
# Base dependencies
"transformers>=4.54.0",
"inspect-ai>=0.3.140",
"openai",
"accelerate",
"huggingface_hub[hf_xet]>=0.30.2",
"torch>=2.0,<3.0",
"GitPython>=3.1.41", # for logging
"datasets>=4.0.0",
"pydantic",
"numpy>=2", # pinned to avoid incompatibilities
"hf-xet>=1.1.8", # pinned to avoid failing test suite
# Prettiness
"typer>=0.20.0",
"termcolor==2.3.0",
"pytablewriter",
"rich",
"colorlog",
# Extension of metrics
"aenum==3.1.15",
# Base metrics
"nltk==3.9.1",
"scikit-learn",
"sacrebleu",
"rouge_score==0.1.2",
"sentencepiece>=0.1.99",
"protobuf",
"pycountry",
"fsspec>=2023.12.2",
"httpx>=0.27.2",
"latex2sympy2_extended==1.0.6",
"langcodes",
]
[project.optional-dependencies]
litellm = ["litellm[caching]>=1.66.0", "diskcache"]
tgi = ["text-generation>=0.7.0"]
optimum = ["optimum==1.12.0"]
quantization = ["bitsandbytes>=0.41.0", "auto-gptq>=0.4.2"]
adapters = ["peft==0.3.0"]
nanotron = [
"nanotron",
"tensorboardX"
]
tensorboardX = ["tensorboardX"]
vllm = ["vllm>=0.10.0,<0.10.2", "ray", "more_itertools"]
sglang = ["sglang"]
quality = ["ruff>=v0.11.0","pre-commit"]
tests = ["pytest>=7.4.0","deepdiff","pip>=25.2"]
dev = ["lighteval[accelerate,quality,tests,multilingual,math,extended_tasks,vllm]"]
docs = ["hf-doc-builder", "watchdog"]
extended_tasks = [
"langdetect", # ifeval
"openai>1.87", # llm as a judge using openai models
"tiktoken",
"emoji", "spacy", "syllapy", # ifbench
"evaluate", # slr_bench
]
s3 = ["s3fs"]
multilingual = [
"stanza",
"spacy[ja,ko,th]>=3.8.0",
"jieba", # for chinese tokenizer
"pyvi", # for vietnamese tokenizer
]
math = ["latex2sympy2_extended==1.0.6"]
wandb = ["wandb"]
trackio = ["trackio"]
[project.urls]
Homepage = "https://github.com/huggingface/lighteval"
Issues = "https://github.com/huggingface/lighteval/issues"
# Documentation = ""
# Changelog = "https://github.com/huggingface/lighteval/blob/master/CHANGELOG.md"
[project.scripts]
lighteval = "lighteval.__main__:app"