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pyproject.toml
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83 lines (77 loc) · 2.04 KB
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[project]
name = "uptpp"
version = "0.1.0"
description = "Latent point set neural operators for dynamic system state transitions"
readme = "README.md"
requires-python = ">=3.11,<3.14"
dependencies = [
# PyTorch — pinned to 2.10.x (torch-cluster compatibility ceiling)
"torch==2.10.*",
"torchvision",
"torchaudio",
# PyTorch Geometric ecosystem
"torch-geometric",
"torch-cluster",
"torch-scatter",
"torch-spline-conv",
"torchmetrics",
# Training framework
"lightning",
# Configuration
"hydra-core",
"hydra-colorlog",
"hydra-optuna-sweeper",
"omegaconf",
"rootutils",
# Scientific computing
"numpy",
"scipy",
"scikit-learn",
"pandas",
"h5py",
# Molecular dynamics
"mdtraj",
"mrcfile",
# Visualization & logging
"matplotlib",
"plotly",
"wandb",
# ML utilities
"einops",
"kappamodules",
"pykeops",
"tqdm",
"rich",
]
[tool.uv]
constraint-dependencies = ["torch==2.10.*"]
# PyG uses an HTML find-links page, not a PEP 503 index
find-links = ["https://data.pyg.org/whl/torch-2.10.0+cu128.html"]
# Force pre-built wheels; do not attempt to build from source
no-build-package = ["torch-cluster", "torch-scatter", "torch-spline-conv"]
[tool.uv.sources]
torch = [
{ index = "pytorch-cu129", marker = "sys_platform == 'linux'" },
{ index = "pytorch-cpu", marker = "sys_platform != 'linux'" },
]
torchvision = [
{ index = "pytorch-cu129", marker = "sys_platform == 'linux'" },
{ index = "pytorch-cpu", marker = "sys_platform != 'linux'" },
]
torchaudio = [
{ index = "pytorch-cu129", marker = "sys_platform == 'linux'" },
{ index = "pytorch-cpu", marker = "sys_platform != 'linux'" },
]
[[tool.uv.index]]
name = "pytorch-cu129"
url = "https://download.pytorch.org/whl/cu129"
explicit = true
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
[tool.hatch.build.targets.wheel]
packages = ["src"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"