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pyproject.toml
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pyproject.toml
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[build-system]
build-backend = "setuptools.build_meta"
requires = ["setuptools >= 61.0"]
[project]
authors = [
{"name" = "Intel Corporation", "email" = "[email protected]"},
]
classifiers = [
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
]
dependencies = [
"psutil",
"lightning>=2.4.0",
"dgl>=2.0.0",
"dgllife==0.3.2",
"rdkit==2024.3.6",
"numba>=0.55.0",
"numpy>=1.21.0, < 2.0.0", # not all packages have migrated to >2.0 yet
"matplotlib",
"munch>=2.5.0",
"lmdb==1.5.1",
"geometric-algebra-attention>=0.3.0",
"sympy>=1.10.1",
"jsonargparse[signatures]>=4.27.7",
"mp_api==0.41.2",
"emmet-core==0.83.6",
"pymatgen==2024.3.1",
"schema>=0.7.5",
"ase>=3.22.1",
"matgl==1.1.3",
"einops>=0.8.0",
"mendeleev>=0.17.0",
"e3nn",
"mace-torch==0.3.6",
"monty==2024.2.2",
"loguru",
"numpydantic>=1.6.4",
"pydantic>=2.9.2",
]
description = "PyTorch Lightning and Deep Graph Library enabled materials science deep learning pipeline"
dynamic = ["version", "readme"]
keywords = ["performance", "portability"]
license = {file = "LICENSE.md"}
name = "matsciml"
requires-python = ">=3.9"
[project.scripts]
lmdb_cli = "matsciml.datasets.lmdb_cli:main"
[project.optional-dependencies]
all = [
"matsciml[dev,symmetry,pyg]",
]
dev = [
"ruff==0.4.0",
"pre-commit",
"sphinx==8.1.3",
"sphinx-theme-pd==0.8.3",
"sphinxawesome-theme",
"pytest",
"pytest-pretty",
"pytest-dependency"
]
pyg = [
"torch_geometric==2.4.0",
"torch_scatter==2.1.2",
"torch_sparse==0.6.18",
"pybind11"
]
symmetry = [
"rowan==1.3.0.post1",
]
[tool.setuptools.packages.find]
include = ["matsciml*", "experiments*"]
where = ["."]
[tool.setuptools.dynamic]
readme = {file = ["README.md"]}
version = {attr = "matsciml.__version__"}
[tool.ruff.lint]
ignore = ["F403", "F405"]
[tool.pytest.ini_options]
filterwarnings = ["ignore::UserWarning", "ignore::DeprecationWarning"]