pyrox.dev
1{
2 lib,
3 stdenv,
4 buildPythonPackage,
5 fetchFromGitHub,
6
7 # build-system
8 uv-build,
9
10 # dependencies
11 scikit-learn,
12 numpy,
13 scipy,
14 colorama,
15 packaging,
16
17 # tests
18 jupyter,
19 matplotlib,
20 nbconvert,
21 nbformat,
22 pytestCheckHook,
23}:
24
25buildPythonPackage rec {
26 pname = "bayesian-optimization";
27 version = "3.1.0";
28 pyproject = true;
29
30 src = fetchFromGitHub {
31 owner = "bayesian-optimization";
32 repo = "BayesianOptimization";
33 tag = "v${version}";
34 hash = "sha256-CYkFobGLlh5cPLwChRWXCow0d5uz8eN5hcRanNMfW8s=";
35 };
36
37 postPatch = ''
38 substituteInPlace pyproject.toml \
39 --replace-fail "uv_build>=0.7.21,<0.8.0" "uv_build"
40 '';
41
42 build-system = [ uv-build ];
43
44 dependencies = [
45 scikit-learn
46 numpy
47 scipy
48 colorama
49 packaging
50 ];
51
52 nativeCheckInputs = [
53 jupyter
54 matplotlib
55 nbconvert
56 nbformat
57 pytestCheckHook
58 ];
59
60 pythonImportsCheck = [ "bayes_opt" ];
61
62 __darwinAllowLocalNetworking = true;
63
64 meta = {
65 description = "Python implementation of global optimization with gaussian processes";
66 homepage = "https://github.com/bayesian-optimization/BayesianOptimization";
67 changelog = "https://github.com/bayesian-optimization/BayesianOptimization/releases/tag/${src.tag}";
68 license = lib.licenses.mit;
69 maintainers = [ lib.maintainers.juliendehos ];
70 };
71}