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pyproject.toml
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57 lines (50 loc) · 1.7 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "open-dcoder"
dynamic = ["dependencies", "optional-dependencies"]
version = "0.1.0"
authors = [
{ name="Fred Z. Peng", email="zp70@duke.edu" },
]
description = "Open-dCoder: Open Diffusion Large Language Model for Code Generation"
readme = "README.md"
requires-python = ">=3.8"
license = "Apache-2.0"
license-files = ["LICENSE"]
keywords = ["diffusion", "language model", "code generation", "machine learning", "pytorch"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Code Generators",
]
[project.urls]
Homepage = "https://github.com/pengzhangzhi/dLLM-training"
Issues = "https://github.com/pengzhangzhi/dLLM-training/issues"
Repository = "https://github.com/pengzhangzhi/dLLM-training"
[tool.ruff]
target-version = "py38"
line-length = 119
indent-width = 4
[tool.ruff.lint]
ignore = ["C901", "E501", "E741", "W605", "C408"]
select = ["C", "E", "F", "I", "W"]
[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["E402", "F401", "F403", "F811"]
[tool.ruff.lint.isort]
lines-after-imports = 2
known-first-party = ["veomni"]
known-third-party = ["torch", "transformers", "wandb"]
[tool.ruff.format]
quote-style = "double"
indent-style = "space"
skip-magic-trailing-comma = false
line-ending = "auto"