botorch/pyproject.toml at main · bowiechen/botorch · GitHub

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[build-system]
requires = ["setuptools", "setuptools_scm[toml]", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "botorch"
description = "Bayesian Optimization in PyTorch"
authors = [{name = "Meta Platforms, Inc."}]
license = "MIT"
license-files = ["LICENSE"]
readme = "README.md"
requires-python = ">=3.10"
keywords = ["Bayesian optimization", "PyTorch"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Programming Language :: Python :: 3 :: Only",
    "Topic :: Scientific/Engineering",
    "Intended Audience :: Science/Research",
    "Intended Audience :: Developers",
]
dynamic = ["version"]

dependencies = [
    "typing_extensions",
    "pyre_extensions",
    "gpytorch>=1.14.2",
    "linear_operator>=0.6",
    "torch>=2.0.1",
    "pyro-ppl>=1.8.4",
    "scipy",
    "multipledispatch",
    "threadpoolctl",
]

[project.optional-dependencies]
pymoo = [
    "pymoo",
]

test = [
    "pytest",
    "pytest-cov",
    "requests",
    "pymoo",
    "pfns"
]

dev = [
    "botorch[test]",
    "flake8",
    "ufmt",
    "flake8-docstrings",
    "sphinx",
    "sphinx-rtd-theme",
]

tutorials = [
    "cma",
    "jupyter",
    "matplotlib",
    "memory_profiler",
    "papermill",
    "pykeops",
    "torchvision",
    "mdformat",
    "pandas",
    "lxml",
    "mdformat-myst",
    "tabulate",
]

[project.urls]
Homepage = "https://botorch.org"
Documentation = "https://botorch.org"
Repository = "https://github.com/meta-pytorch/botorch"

[tool.setuptools.packages]
find = {exclude = ["test", "test.*"]}

[tool.setuptools_scm]
local_scheme = "node-and-date"
write_to = "./botorch/version.py"

[tool.usort]
first_party_detection = false

[tool.ufmt]
formatter = "ruff-api"

[tool.coverage.report]
omit = ["test/*", "test_community/*"]