MultiObjectiveSurrogateOptimization/pyproject.toml at main · GazzolaLab/MultiObjectiveSurrogateOptimization · GitHub

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[project]
name = "multiobjectivesurrogateoptimization"
version = "0.1.0"
description = "Efficient multi-objective optimization of high-dimensional neural dynamical systems by joint learning of objectives, constraints, and sensitivities"
authors = [
    { name = "Frithjof Gressmann", email = "fg14@illinois.edu" },
    { name = "Ivan Raikov", email = "ivan.g.raikov@gmail.com" },
]
dependencies = [
    "dmosopt @ git+https://github.com/iraikov/dmosopt.git@f034729",
    "miv-simulator @ git+https://github.com/GazzolaLab/MiV-Simulator@e440eaa",
    "machinable==4.10.6",
    "matplotlib>=3.9.2",
    "seaborn>=0.13.2",
    "pandas>=2.2.2",
    "rich>=13.8.0",
    "uncertainties>=3.2.2",
    "globus-sdk>=3.44.0",
    "nds @ git+https://github.com/KernelA/nds-py.git",
    "jupyter>=1.1.1",
    "omegaconf==2.4.0.dev3",
    "torch==2.5.1",
    "tensorflow[and-cuda]==2.16.2",
    "gpytorch>=1.13",
    "neuron==8.2.6",
    "scienceplots>=2.1.1",
    "tabulate>=0.9.0",
    "sqlean-py>=3.47.0",
    "jaxtyping>=0.2.19",
    "salib>=1.5.1",
    "spike-encoder",
]
readme = "README.md"
requires-python = ">= 3.11"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[dependency-groups]
dev = ["ruff>=0.6.9"]

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.uv.sources]
torch = [{ index = "pytorch-cpu", marker = "platform_system != 'Darwin'" }]
torchvision = [
    { index = "pytorch-cpu", marker = "platform_system != 'Darwin'" },
]
spike-encoder = { git = "https://github.com/iraikov/neural_spike_encoding.git" }

[tool.hatch.metadata]
allow-direct-references = true

[tool.hatch.build.targets.wheel]
packages = ["src/multiobjectivesurrogateoptimization"]