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pyproject.toml
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pyproject.toml
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[project]
name = "alphafold3-pytorch"
version = "0.1.25"
description = "Alphafold 3 - Pytorch"
authors = [
{ name = "Phil Wang", email = "[email protected]" }
]
readme = "README.md"
requires-python = ">= 3.8"
license = { file = "LICENSE" }
keywords = [
'artificial intelligence',
'deep learning',
'protein structure prediction',
]
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.8',
]
dependencies = [
"beartype",
"biopython>=1.83",
"einops>=0.8.0",
"einx>=0.2.2",
"ema-pytorch>=0.4.8",
"environs",
"frame-averaging-pytorch>=0.0.18",
"jaxtyping>=0.2.28",
"lightning>=2.2.5",
"pandas>=1.5.3",
"pdbeccdutils>=0.8.5",
"pydantic>=2.7.2",
"pyyaml",
"taylor-series-linear-attention>=0.1.9",
"timeout_decorator>=0.5.0",
'torch_geometric',
"torch>=2.1",
"tqdm>=4.66.4",
]
[project.urls]
Homepage = "https://pypi.org/project/alphafold3-pytorch/"
Repository = "https://github.com/lucidrains/alphafold3-pytorch"
[project.optional-dependencies]
examples = []
test = [
"pytest"
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.pytest.ini_options]
pythonpath = [
"."
]
[tool.ruff]
line-length = 1000
ignore = [
"F722", # for jaxtyping shape annotation
"F401"
]
[tool.hatch.metadata]
allow-direct-references = true
[tool.hatch.build.targets.wheel]
packages = ["alphafold3_pytorch"]