content: [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",
      "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/*"]
  