BayesianThompsonSamplingOptimization/pyproject.toml at main · ToennisStef/BayesianThompsonSamplingOptimization · GitHub

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[project]
name = "thompsonsampling"
version = "0.1.0"
description = ""
authors = [
    {name = "ToennisStef",email = "stefan.toennis@gmx.de"}
]
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
    "numpy (>=2.2.3,<3.0.0)",
    "torch (>=2.6.0,<3.0.0)",
    "torchvision (>=0.21.0,<0.22.0)",
    "torchaudio (>=2.6.0,<3.0.0)",
    "jupyter (>=1.1.1,<2.0.0)",
    "botorch (>=0.13.0,<0.14.0)",
    "ax-platform (>=0.5.0,<0.6.0)",
    "matplotlib (>=3.10.1,<4.0.0)",
]

[tool.poetry]
packages = [{include = "thompsonsampling", from = "src"}]

[tool.poetry.dependencies]
torch = {version = ">=2.6.0,<3.0.0", source = "pytorch"}
torchvision = {version = ">=0.21.0,<0.22.0", source = "pytorch"}
torchaudio = {version = ">=2.6.0,<3.0.0", source = "pytorch"}

[build-system]
requires = ["poetry-core>=2.0.0,<3.0.0"]
build-backend = "poetry.core.masonry.api"

[[tool.poetry.source]]
name = "pytorch"
url = "https://download.pytorch.org/whl/cpu"
priority = "explicit"