60 lines
1.4 KiB
Nix
60 lines
1.4 KiB
Nix
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{
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lib,
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buildPythonPackage,
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cython,
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numpy,
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pytestCheckHook,
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scipy,
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scikit-learn,
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fetchPypi,
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joblib,
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six,
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}:
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buildPythonPackage rec {
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pname = "hdbscan";
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version = "0.8.38.post1";
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format = "setuptools";
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src = fetchPypi {
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inherit pname version;
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hash = "sha256-X726L/tamai1L6KRVljO1r7Vn00NX0CxxnNkbJKKrAs=";
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};
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pythonRemoveDeps = [ "cython" ];
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nativeBuildInputs = [
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cython
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];
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propagatedBuildInputs = [
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numpy
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scipy
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scikit-learn
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joblib
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six
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];
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preCheck = ''
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cd hdbscan/tests
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rm __init__.py
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'';
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nativeCheckInputs = [ pytestCheckHook ];
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disabledTests = [
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# known flaky tests: https://github.com/scikit-learn-contrib/hdbscan/issues/420
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"test_mem_vec_diff_clusters"
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"test_all_points_mem_vec_diff_clusters"
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"test_approx_predict_diff_clusters"
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# another flaky test https://github.com/scikit-learn-contrib/hdbscan/issues/421
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"test_hdbscan_boruvka_balltree_matches"
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# more flaky tests https://github.com/scikit-learn-contrib/hdbscan/issues/570
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"test_hdbscan_boruvka_balltree"
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"test_hdbscan_best_balltree_metric"
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];
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pythonImportsCheck = [ "hdbscan" ];
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meta = with lib; {
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description = "Hierarchical Density-Based Spatial Clustering of Applications with Noise, a clustering algorithm with a scikit-learn compatible API";
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homepage = "https://github.com/scikit-learn-contrib/hdbscan";
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license = licenses.bsd3;
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};
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}
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