forked from mirrors/nixpkgs
54 lines
1.5 KiB
Nix
54 lines
1.5 KiB
Nix
{ lib
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, buildPythonPackage
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, fetchpatch
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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 = "0.8.27";
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src = fetchPypi {
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inherit pname version;
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sha256 = "e3a418d0d36874f7b6a1bf0b7461f3857fc13a525fd48ba34caed2fe8973aa26";
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};
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patches = [
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# This patch fixes compatibility with numpy 1.20. It will be in the next release
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# after 0.8.27
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(fetchpatch {
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url = "https://github.com/scikit-learn-contrib/hdbscan/commit/5b67a4fba39c5aebe8187a6a418da677f89a63e0.patch";
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sha256 = "07d7jdwk0b8kgaqkifd529sarji01j1jiih7cfccc5kxmlb5py9h";
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})
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];
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nativeBuildInputs = [ cython ];
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propagatedBuildInputs = [ numpy scipy scikit-learn joblib six ];
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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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checkInputs = [ 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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];
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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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maintainers = with maintainers; [ ixxie ];
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};
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}
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