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Copy pathpyproject.toml
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72 lines (64 loc) · 1.63 KB
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[build-system]
requires = ["setuptools>=77", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "pptrain"
version = "0.3.1"
description = "Lean PyTorch tooling for pre-pre-training language models on synthetic upstream tasks."
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
license-files = ["LICENSE"]
authors = [
{ name = "Davide Wiest" }
]
keywords = ["language-models", "pytorch", "synthetic-data", "transformers", "pretraining"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"accelerate>=0.30",
"datasets>=2.18",
"matplotlib>=3.8",
"numpy>=1.26",
"pandas>=2.2",
"PyYAML>=6.0",
"safetensors>=0.4",
"torch>=2.2",
"transformers>=4.40",
]
[project.urls]
Homepage = "https://github.com/Axym-Labs/pptrain"
Repository = "https://github.com/Axym-Labs/pptrain"
Issues = "https://github.com/Axym-Labs/pptrain/issues"
Changelog = "https://github.com/Axym-Labs/pptrain/releases"
[project.optional-dependencies]
eval = [
"datasets>=2.18",
"pandas>=2.2",
]
dev = [
"build>=1.2",
"datasets>=2.18",
"pandas>=2.2",
"pytest>=8.0",
"ruff>=0.5",
"twine>=5.1",
]
[project.scripts]
pptrain = "pptrain.cli:main"
[tool.setuptools]
package-dir = { "" = "src" }
[tool.setuptools.packages.find]
where = ["src"]
[tool.pytest.ini_options]
testpaths = ["tests"]
[tool.ruff]
line-length = 100
target-version = "py310"