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pyproject.toml
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49 lines (43 loc) · 1.3 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "mcts-diffusion"
version = "0.1.0"
description = "Monte Carlo Tree Search for Masked Diffusion Language Models (UnMaskFork)"
readme = "README.md"
requires-python = ">=3.9"
license = "Apache-2.0"
authors = [
{ name = "mcts-diffusion contributors" },
]
keywords = ["mcts", "diffusion", "language-model", "test-time-scaling", "masked-diffusion"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"torch>=2.1",
"numpy>=1.24",
]
[project.optional-dependencies]
llada = ["transformers>=4.40"]
dream = ["transformers>=4.40"]
all = ["transformers>=4.40"]
bench = ["evalplus", "datasets"]
dev = ["pytest", "pytest-cov", "ruff", "mypy"]
viz = ["graphviz"]
[project.urls]
Homepage = "https://github.com/mcts-diffusion/mcts-diffusion"
Documentation = "https://github.com/mcts-diffusion/mcts-diffusion#readme"
[tool.hatch.build.targets.wheel]
packages = ["src/mcts_diffusion"]
[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]
[tool.ruff]
target-version = "py39"
line-length = 100