Files
nixpkgs/pkgs/development/python-modules/botorch/default.nix
T

112 lines
2.4 KiB
Nix

{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
# build-system
setuptools,
setuptools-scm,
# dependencies
gpytorch,
linear-operator,
multipledispatch,
pyre-extensions,
pyro-ppl,
scipy,
threadpoolctl,
torch,
typing-extensions,
# optional-dependencies
pymoo,
# tests
pytestCheckHook,
pythonAtLeast,
}:
buildPythonPackage (finalAttrs: {
pname = "botorch";
version = "0.17.0";
pyproject = true;
src = fetchFromGitHub {
owner = "meta-pytorch";
repo = "botorch";
tag = "v${finalAttrs.version}";
hash = "sha256-NDdXsmVdrTEXMXXVf89EkGXVOYnEcXwtzarB5niTNaw=";
};
build-system = [
setuptools
setuptools-scm
];
dependencies = [
gpytorch
linear-operator
multipledispatch
pyre-extensions
pyro-ppl
scipy
threadpoolctl
torch
typing-extensions
];
optional-dependencies = {
pymoo = [
pymoo
];
};
nativeCheckInputs = [
pytestCheckHook
];
disabledTestPaths = [
# Requires unpackaged pfns
"test_community/models/test_prior_fitted_network.py"
];
disabledTests = [
"test_all_cases_covered"
# Skip tests that take too much time
"TestQMultiObjectivePredictiveEntropySearch"
"TestQPredictiveEntropySearch"
]
++ lib.optionals (pythonAtLeast "3.13") [
# RuntimeError: Boolean value of Tensor with more than one value is ambiguous
"test_optimize_acqf_mixed_binary_only"
]
++ lib.optionals (stdenv.buildPlatform.system == "x86_64-linux") [
# stuck tests on hydra
"test_moo_predictive_entropy_search"
]
++ lib.optionals (stdenv.hostPlatform.isDarwin) [
# RuntimeError: required keyword attribute 'value' has the wrong type
"test_posterior_in_trace_mode"
]
++ lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64) [
# Numerical error slightly above threshold
# AssertionError: Tensor-likes are not close!
"test_model_list_gpytorch_model"
];
pythonImportsCheck = [ "botorch" ];
# needs lots of undisturbed CPU time or prone to getting stuck
requiredSystemFeatures = [ "big-parallel" ];
meta = {
changelog = "https://github.com/meta-pytorch/botorch/blob/${finalAttrs.src.tag}/CHANGELOG.md";
description = "Bayesian Optimization in PyTorch";
homepage = "https://botorch.org";
license = lib.licenses.mit;
maintainers = with lib.maintainers; [ veprbl ];
};
})