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{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
# build-system
uv-build,
# dependencies
scikit-learn,
numpy,
scipy,
colorama,
packaging,
# tests
jupyter,
matplotlib,
nbconvert,
nbformat,
pytestCheckHook,
}:
buildPythonPackage rec {
pname = "bayesian-optimization";
version = "3.2.0";
pyproject = true;
src = fetchFromGitHub {
owner = "bayesian-optimization";
repo = "BayesianOptimization";
tag = "v${version}";
hash = "sha256-miWMGLXdar3gVjllnCWLkCwZP3t+gIzffYjkJH459Uc=";
};
postPatch = ''
substituteInPlace pyproject.toml \
--replace-fail "uv_build>=0.7.21,<0.8.0" "uv_build"
'';
build-system = [ uv-build ];
dependencies = [
scikit-learn
numpy
scipy
colorama
packaging
];
nativeCheckInputs = [
jupyter
matplotlib
nbconvert
nbformat
pytestCheckHook
];
pythonImportsCheck = [ "bayes_opt" ];
__darwinAllowLocalNetworking = true;
meta = {
description = "Python implementation of global optimization with gaussian processes";
homepage = "https://github.com/bayesian-optimization/BayesianOptimization";
changelog = "https://github.com/bayesian-optimization/BayesianOptimization/releases/tag/${src.tag}";
license = lib.licenses.mit;
maintainers = [ lib.maintainers.juliendehos ];
};
}
|
