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emmatyping committed Sep 14, 2023
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86 changes: 86 additions & 0 deletions pyproject.toml
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[build-system]
requires = ["setuptools>=40.8.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "lm_eval"
version = "1.0.0"
authors = [
{name="EleutherAI", email="[email protected]"}
]
description = "A framework for evaluating language models"
readme = "README.md"
classifiers = [
"Development Status :: 3 - Alpha",
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
requires-python = ">=3.9"
license = { "text" = "MIT" }
dependencies = [
"accelerate>=0.21.0",
"evaluate",
"datasets>=2.0.0",
"evaluate>=0.4.0",
"jsonlines",
"numexpr",
"omegaconf>=2.2",
"peft>=0.2.0",
"pybind11>=2.6.2",
"pycountry",
"pytablewriter",
"rouge-score>=0.0.4",
"sacrebleu>=1.5.0",
"scikit-learn>=0.24.1",
"sqlitedict",
"torch>=1.8",
"tqdm-multiprocess",
"transformers>=4.1",
"zstandard",
]

[tool.setuptools]
packages = ["lm_eval"]

# required to include yaml files in pip installation
[tool.setuptools.package-data]
lm_eval = ["**/*.yaml", "tasks/**/*"]
examples = ["**/*.yaml"]

[project.scripts]
lm-eval = "main:main"
lm_eval = "main:main"

[project.urls]
Homepage = "https://github.com/EleutherAI/lm-evaluation-harness"
Repository = "https://github.com/EleutherAI/lm-evaluation-harness"

[project.optional-dependencies]
dev = ["black", "flake8", "pre-commit", "pytest", "pytest-cov"]
linting = [
"flake8",
"pylint",
"mypy",
"pre-commit",
]
testing = ["pytest", "pytest-cov", "pytest-xdist"]
multilingual = ["nagisa>=0.2.7", "jieba>=0.42.1"]
sentencepiece = ["sentencepiece>=0.1.98", "protobuf>=4.22.1", "pycountry"]
promptsource = [
"promptsource @ git+https://github.com/bigscience-workshop/promptsource.git#egg=promptsource"
]
gptq = ["auto-gptq[triton] @ git+https://github.com/PanQiWei/AutoGPTQ"]
anthropic = ["anthropic"]
openai = ["openai", "tiktoken"]
all = [
"lm_eval[dev]",
"lm_eval[testing]",
"lm_eval[linting]",
"lm_eval[multilingual]",
"lm_eval[sentencepiece]",
"lm_eval[promptsource]",
"lm_eval[gptq]",
"lm_eval[anthropic]",
"lm_eval[openai]"
]
77 changes: 2 additions & 75 deletions setup.py
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@@ -1,77 +1,4 @@
import setuptools
import itertools

with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()


extras_require = {
"dev": ["black", "flake8", "pre-commit", "pytest", "pytest-cov"],
"linting": [
"flake8",
"pylint",
"mypy",
"pre-commit",
],
"testing": ["pytest", "pytest-cov", "pytest-xdist"],
"multilingual": ["nagisa>=0.2.7", "jieba>=0.42.1"],
"sentencepiece": ["sentencepiece>=0.1.98", "protobuf>=4.22.1"],
"promptsource": [
"promptsource @ git+https://github.com/bigscience-workshop/promptsource.git#egg=promptsource"
],
"gptq": ["auto-gptq[triton] @ git+https://github.com/PanQiWei/AutoGPTQ"],
"anthropic": ["anthropic"],
"openai": ["openai", "tiktoken"],
}
extras_require["all"] = list(itertools.chain.from_iterable(extras_require.values()))


setuptools.setup(
name="lm_eval",
version="1.0.0",
author="EleutherAI",
author_email="[email protected]",
description="A framework for evaluating language models",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/EleutherAI/lm-evaluation-harness",
packages=setuptools.find_packages(),
# required to include yaml files in pip installation
package_data={
"lm_eval": ["**/*.yaml", "tasks/**/*"],
"examples": ["**/*.yaml"],
},
entry_points={
"console_scripts": ["lm-eval = main:main", "lm_eval = main:main"],
},
include_package_data=True,
classifiers=[
"Development Status :: 3 - Alpha",
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires=">=3.9",
install_requires=[
"accelerate>=0.18.0",
"evaluate",
"datasets>=2.0.0",
"evaluate>=0.4.0",
"jsonlines",
"numexpr",
"omegaconf>=2.2",
"peft>=0.2.0",
"pybind11>=2.6.2",
"pycountry",
"pytablewriter",
"rouge-score>=0.0.4",
"sacrebleu==1.5.0",
"scikit-learn>=0.24.1",
"sqlitedict",
"torch>=1.8",
"tqdm-multiprocess",
"transformers>=4.1",
"zstandard",
],
extras_require=extras_require,
)
# This is to make sure that the package supports editable installs
setuptools.setup()

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