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pyproject.toml
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92 lines (76 loc) · 1.97 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "atomica"
version = "0.1.0"
description = "ATOMICA"
readme = "README.md"
requires-python = ">=3.9"
dependencies = [
# Core PyTorch and ML libraries
"torch==2.1.1",
"torch-scatter==2.1.2",
"torch-cluster==1.6.3",
"numpy==1.26.4",
"scipy==1.13.1",
# Chemistry and structure libraries
"rdkit-pypi==2022.9.5",
"openbabel-wheel==3.1.1.20",
"biopython==1.84",
"biotite==0.40.0",
"e3nn==0.5.1",
# Data processing
"pandas==2.2.3",
"pyarrow==21.0.0",
"orjson==3.10.16",
# Utilities
"tqdm==4.66.5",
"joblib==1.4.2",
"networkx==3.2.1",
"sympy==1.13.3",
# ML utilities
"scikit-learn==1.5.2",
# Logging and experiment tracking
"wandb==0.18.2",
"tensorboard==2.18.0",
# Visualization
"matplotlib==3.9.2",
"seaborn==0.13.2",
"plotly==5.24.1",
"umap-learn==0.5.6",
]
[project.optional-dependencies]
dev = [
"pytest",
"black",
"flake8",
"jupyter",
"ipywidgets",
]
# Interaction profiling features (optional)
interaction_profiler = [
"plip", # Protein-Ligand Interaction Profiler
]
# GPU acceleration (install with --extra-index-url for CUDA builds)
gpu = [] # Instructions in https://github.com/mims-harvard/ATOMICA/blob/main/setup/install_atomica_uv.sh for torch+cu118, torch-scatter+cu118, torch-cluster+cu118
# All optional features
all = [
"atomica[dev,interaction_profiler]",
]
[project.scripts]
atomica-train = "atomica.train:cli"
atomica-embeddings = "atomica.get_embeddings:cli"
[tool.setuptools.packages.find]
where = ["src"]
[tool.setuptools.package-dir]
"" = "src"
[tool.setuptools.package-data]
atomica = [
"data/tokenizer/vocabs/*.txt",
"data/converter/*.txt",
]
# Build dependencies for packages that need torch at build time
[tool.uv.extra-build-dependencies]
torch-scatter = ["torch==2.1.1"]
torch-cluster = ["torch==2.1.1"]